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  • Books  (15)
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  • Basel, Beijing, Wuhan, Barcelona, Belgrade : MDPI  (14)
  • Berlin [u.a.] : Springer
  • Wabern : Federal Office of Topography, Swiss Geological Survey
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  • 1
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    Experimental and Thermodynamical Modeling of Ore-Forming Processes in Magmatic and Hydrothermal Systems (2019)
    Basel, Beijing, Wuhan, Barcelona, Belgrade : MDPI
    Details
    Keywords: Source and chemistry of ore fluids ; Geofluid-rock interaction ; Solubilities of ore minerals ; Transport of the metals ; Models of ore formation ; Mechanisms of ore formation ; Mineral equilibria ; Nonequilibrium processes ; Reconstruction of T,P,X-conditions
    Description / Table of Contents: Editorial for the Special Issue: Experimental and Thermodynamic Modeling of Ore-Forming Processes in Magmatic and Hydrothermal Systems / Minerals 2018, 8(12), 590; https://doi.org/10.3390/min8120590 --- Physicochemical Conditions of Formation for Bismuth Mineralization Hosted in a Magmatic-Hydrothermal Breccia Complex: An Example from the Argentine Andes / Minerals 2018, 8(11), 486; https://doi.org/10.3390/min8110486 --- Nature and Evolution of Paleoproterozoic Sn and Rare Metal Albitites from Central Brazil: Constraints Based on Textural, Geochemical, Ar-Ar, and Oxygen Isotopes / Minerals 2018, 8(9), 396; https://doi.org/10.3390/min8090396 --- Sulfide Formation as a Result of Sulfate Subduction into Silicate Mantle (Experimental Modeling under High P,T-Parameters) / Minerals 2018, 8(9), 373; https://doi.org/10.3390/min8090373 --- Hydrothermal Metasomatism and Gold Mineralization of Porphyritic Granite in the Dongping Deposit, North Hebei, China: Evidence from Zircon Dating / Minerals 2018, 8(9), 363; https://doi.org/10.3390/min8090363 --- Numerical Modeling of REE Fractionation Patterns in Fluorapatite from the Olympic Dam Deposit (South Australia) / Minerals 2018, 8(8), 342; https://doi.org/10.3390/min8080342 --- Physicochemical Model of Formation of Gold-Bearing Magnetite-Chlorite-Carbonate Rocks at the Karabash Ultramafic Massif (Southern Urals, Russia) / Minerals 2018, 8(7), 306; https://doi.org/10.3390/min8070306 --- Stability of AuCl2− from 25 to 1000 °C at Pressures to 5000 bar and Consequences for Hydrothermal Gold Mobilization / Minerals 2018, 8(7), 286; https://doi.org/10.3390/min8070286 --- Trace Element Partitioning Dualism under Mineral–Fluid Interaction: Origin and Geochemical Significance / Minerals 2018, 8(7), 282; https://doi.org/10.3390/min8070282 --- Geochronology, Petrology, and Genesis of Two Granitic Plutons of the Xianghualing Ore Field in South Hunan Province: Constraints from Zircon U–Pb Dating, Geochemistry, and Lu–Hf Isotopic Compositions / Minerals 2018, 8(5), 213; https://doi.org/10.3390/min8050213 --- Geochronology and Genesis of the Xitian W-Sn Polymetallic Deposit in Eastern Hunan Province, South China: Evidence from Zircon U-Pb and Muscovite Ar-Ar Dating, Petrochemistry, and Wolframite Sr-Nd-Pb Isotopes / Minerals 2018, 8(3), 111; https://doi.org/10.3390/min8030111
    Pages: Online-Ressource (IX, 204 Seiten) , Illustrationen, Diagramme, Karten
    Edition: Printed Edition of the Special Issue Published in Minerals
    ISBN: 9783038975168
    URL: https://www.mdpi.com/books/pdfview/book/1081
    Language: English
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  • 2
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    Climate Change, Coasts and Coastal Risk (2019)
    Basel, Beijing, Wuhan, Barcelona, Belgrade : MDPI
    Details
    Keywords: climate change ; coastal forcing ; storm surge ; waves ; physical impacts on coasts ; environmental risk in coastal zones ; economic risks
    Description / Table of Contents: Climate Change, Coasts and Coastal Risk / J. Mar. Sci. Eng. 2018, 6(4), 141; https://doi.org/10.3390/jmse6040141 --- Regional Scale Risk-Informed Land-Use Planning Using Probabilistic Coastline Recession Modelling and Economical Optimisation: East Coast of Sri Lanka / J. Mar. Sci. Eng. 2018, 6(4), 120; https://doi.org/10.3390/jmse6040120 --- Optimized Reliability Based Upgrading of Rubble Mound Breakwaters in a Changing Climate / J. Mar. Sci. Eng. 2018, 6(3), 92; https://doi.org/10.3390/jmse6030092 --- Potential Impacts of Sea Level Rise and Coarse Scale Marsh Migration on Storm Surge Hydrodynamics and Waves on Coastal Protected Areas in the Chesapeake Bay / J. Mar. Sci. Eng. 2018, 6(3), 86; https://doi.org/10.3390/jmse6030086 --- Significance of Fluvial Sediment Supply in Coastline Modelling at Tidal Inlets / J. Mar. Sci. Eng. 2018, 6(3), 79; https://doi.org/10.3390/jmse6030079 --- Projected 21st Century Coastal Flooding in the Southern California Bight. Part 2: Tools for Assessing Climate Change-Driven Coastal Hazards and Socio-Economic Impacts / J. Mar. Sci. Eng. 2018, 6(3), 76; https://doi.org/10.3390/jmse6030076 --- Failure of Grass Covered Flood Defences with Roads on Top Due to Wave Overtopping: A Probabilistic Assessment Method / J. Mar. Sci. Eng. 2018, 6(3), 74; https://doi.org/10.3390/jmse6030074 --- Modelling Hydrodynamic Impacts of Sea-Level Rise on Wave-Dominated Australian Estuaries with Differing Geomorphology / J. Mar. Sci. Eng. 2018, 6(2), 66; https://doi.org/10.3390/jmse6020066 --- Projected 21st Century Coastal Flooding in the Southern California Bight. Part 1: Development of the Third Generation CoSMoS Model / J. Mar. Sci. Eng. 2018, 6(2), 59; https://doi.org/10.3390/jmse6020059 --- An Effective Modelling Approach to Support Probabilistic Flood Forecasting in Coastal Cities—Case Study: Can Tho, Mekong Delta, Vietnam / J. Mar. Sci. Eng. 2018, 6(2), 55; https://doi.org/10.3390/jmse6020055 --- Probabilistic Assessment of Overtopping of Sea Dikes with Foreshores including Infragravity Waves and Morphological Changes: Westkapelle Case Study / J. Mar. Sci. Eng. 2018, 6(2), 48; https://doi.org/10.3390/jmse6020048 --- How Well Do AR5 Sea Surface-Height Model Projections Match Observational Rates of Sea-Level Rise at the Regional Scale? / J. Mar. Sci. Eng. 2018, 6(1), 11; https://doi.org/10.3390/jmse6010011 --- Two Centuries of Climate Change and Climate Variability, East Coast Australia / J. Mar. Sci. Eng. 2018, 6(1), 3; https://doi.org/10.3390/jmse6010003 --- Jump to: Editorial, Research / Open AccessFeature PaperReview / Quantifying Economic Value of Coastal Ecosystem Services: A Review / J. Mar. Sci. Eng. 2018, 6(1), 5; https://doi.org/10.3390/jmse6010005
    Pages: Online-Ressource (IX, 285 Seiten) , Illustrationen, Diagramme, Karten
    Edition: Printed Edition of the Special Issue Published in Journal of Marine Science and Engineering
    ISBN: 9783038974826
    URL: https://www.mdpi.com/books/pdfview/book/1077
    Language: English
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  • 3
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    River and Lake Ice Processes : Impacts of Freshwater Ice on Aquatic Ecosystems in a Changing Globe (2018)
    Basel, Beijing, Wuhan, Barcelona, Belgrade : MDPI
    Details
    Keywords: aquatic ecosystems ; field sampling ; ice regime ; modelling ; northern lakes and rivers ; water quality
    Description / Table of Contents: River and Lake Ice Processes—Impacts of Freshwater Ice on Aquatic Ecosystems in a Changing Globe / Water 2018, 10(11), 1586; https://doi.org/10.3390/w10111586 --- How Does Changing Ice-Out Affect Arctic versus Boreal Lakes? A Comparison Using Two Years with Ice-Out that Differed by More Than Three Weeks / Water 2018, 10(1), 78; https://doi.org/10.3390/w10010078 --- Historical Trends, Drivers, and Future Projections of Ice Phenology in Small North Temperate Lakes in the Laurentian Great Lakes Region / Water 2018, 10(1), 70; https://doi.org/10.3390/w10010070 --- An Assessment of Ice Effects on Indices for Hydrological Alteration in Flow Regimes / Water 2017, 9(12), 914; https://doi.org/10.3390/w9120914 --- Updated Smoothed Particle Hydrodynamics for Simulating Bending and Compression Failure Progress of Ice / Water 2017, 9(11), 882; https://doi.org/10.3390/w9110882 --- The Winter Environmental Continuum of Two Watersheds / Water 2017, 9(5), 337; https://doi.org/10.3390/w9050337 --- RIVICE—A Non-Proprietary, Open-Source, One-Dimensional River-Ice Model / Water 2017, 9(5), 314; https://doi.org/10.3390/w9050314 --- Using Remote Sensing Data to Parameterize Ice Jam Modeling for a Northern Inland Delta / Water 2017, 9(5), 306; https://doi.org/10.3390/w9050306 --- Seasonal Variation in Sediment Oxygen Demand in a Northern Chained River-Lake System / Water 2017, 9(4), 254; https://doi.org/10.3390/w9040254 --- Impacts of Climate Change on the Water Quality of a Regulated Prairie River / Water 2017, 9(3), 199; https://doi.org/10.3390/w9030199 --- Modelling Dissolved Oxygen/Sediment Oxygen Demand under Ice in a Shallow Eutrophic Prairie Reservoir / Water 2017, 9(2), 131; https://doi.org/10.3390/w9020131 --- Jump to: Editorial, Research / Open AccessConcept Paper / Sustainable Ice-Jam Flood Management for Socio-Economic and Socio-Ecological Systems / Water 2018, 10(2), 135; https://doi.org/10.3390/w10020135
    Pages: Online-Ressource (IX, 197 Seiten) , Illustrationen, Diagramme, Karten
    Edition: Printed Edition of the Special Issue Published in Water
    ISBN: 9783038973898
    URL: https://www.mdpi.com/books/pdfview/book/1054
    Language: English
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  • 4
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    Advances in SAR : Sensors, Methodologies, and Applications (2018)
    Basel, Beijing, Wuhan, Barcelona, Belgrade : MDPI
    Details
    Keywords: Synthetic Aperture Radar ; SAR Sensors ; SAR Interferometry ; DEM Generation from SAR Data ; Surface Motion Estimation from SAR ; SAR Polarimetry ; SAR constellations ; Geosynchronous SAR ; Ground based SAR ; SAR applications
    Description / Table of Contents: Deng, X.; López-Martínez, C.; Chen, J.; Han, P. Statistical Modeling of Polarimetric SAR Data: A Survey and Challenges. Remote Sens. 2017, 9(4), 348; https://doi.org/10.3390/rs9040348 --- Braun, A.; Hochschild, V. A SAR-Based Index for Landscape Changes in African Savannas. Remote Sens. 2017, 9(4), 359; https://doi.org/10.3390/rs9040359 --- Ghafouri, A.; Amini, J.; Dehmollaian, M.; Kavoosi, M. Better Estimated IEM Input Parameters Using Random Fractal Geometry Applied on Multi-Frequency SAR Data. Remote Sens. 2017, 9(5), 445; https://doi.org/10.3390/rs9050445 --- Kim, S.; Yu, J.; Jeon, S.; Dewantari, A.; Ka, M. Signal Processing for a Multiple-Input, Multiple-Output (MIMO) Video Synthetic Aperture Radar (SAR) with Beat Frequency Division Frequency-Modulated Continuous Wave (FMCW). Remote Sens. 2017, 9(5), 491; https://doi.org/10.3390/rs9050491 --- Chen, Q.; Li, L.; Xu, Q.; Yang, S.; Shi, X.; Liu, X. Multi-Feature Segmentation for High-Resolution Polarimetric SAR Data Based on Fractal Net Evolution Approach. Remote Sens. 2017, 9(6), 570; https://doi.org/10.3390/rs9060570 --- Garthwaite, M. On the Design of Radar Corner Reflectors for Deformation Monitoring in Multi-Frequency InSAR. Remote Sens. 2017, 9(7), 648; https://doi.org/10.3390/rs9070648 --- Tao, C.; Chen, S.; Li, Y.; Xiao, S. PolSAR Land Cover Classification Based on Roll-Invariant and Selected Hidden Polarimetric Features in the Rotation Domain. Remote Sens. 2017, 9(7), 660; https://doi.org/10.3390/rs9070660 --- Giudici, D.; Monti Guarnieri, A.; Cuesta Gonzalez, J. Pre-Flight SAOCOM-1A SAR Performance Assessment by Outdoor Campaign. Remote Sens. 2017, 9(7), 729; https://doi.org/10.3390/rs9070729 --- Libert, L.; Derauw, D.; d’Oreye, N.; Barbier, C.; Orban, A. Split-Band Interferometry-Assisted Phase Unwrapping for the Phase Ambiguities Correction. Remote Sens. 2017, 9(9), 879; https://doi.org/10.3390/rs9090879 --- Zhao, J.; Wu, J.; Ding, X.; Wang, M. Elevation Extraction and Deformation Monitoring by Multitemporal InSAR of Lupu Bridge in Shanghai. Remote Sens. 2017, 9(9), 897; https://doi.org/10.3390/rs9090897 --- Park, J.; Kim, J.; Won, J. Fast and Efficient Correction of Ground Moving Targets in a Synthetic Aperture Radar, Single-Look Complex Image. Remote Sens. 2017, 9(9), 926; https://doi.org/10.3390/rs9090926 --- Shi, X.; Jiang, H.; Zhang, L.; Liao, M. Landslide Displacement Monitoring with Split-Bandwidth Interferometry: A Case Study of the Shuping Landslide in the Three Gorges Area. Remote Sens. 2017, 9(9), 937; https://doi.org/10.3390/rs9090937 --- Zhai, A.; Wen, X.; Xu, H.; Yuan, L.; Meng, Q. Multi-Layer Model Based on Multi-Scale and Multi-Feature Fusion for SAR Images. Remote Sens. 2017, 9(10), 1085; https://doi.org/10.3390/rs9101085 --- Wang, C.; Chen, L.; Zhao, H.; Lu, Z.; Bian, M.; Zhang, R.; Feng, J. Ionospheric Reconstructions Using Faraday Rotation in Spaceborne Polarimetric SAR Data. Remote Sens. 2017, 9(11), 1169; https://doi.org/10.3390/rs9111169 --- Monti-Guarnieri, A.; Giudici, D.; Recchia, A. Identification of C-Band Radio Frequency Interferences from Sentinel-1 Data. Remote Sens. 2017, 9(11), 1183; https://doi.org/10.3390/rs9111183 --- Behnamian, A.; Banks, S.; White, L.; Brisco, B.; Millard, K.; Pasher, J.; Chen, Z.; Duffe, J.; Bourgeau-Chavez, L.; Battaglia, M. Semi-Automated Surface Water Detection with Synthetic Aperture Radar Data: A Wetland Case Study. Remote Sens. 2017, 9(12), 1209; https://doi.org/10.3390/rs9121209 --- Sun, L.; Muller, J.; Chen, J. Time Series Analysis of Very Slow Landslides in the Three Gorges Region through Small Baseline SAR Offset Tracking. Remote Sens. 2017, 9(12), 1314; https://doi.org/10.3390/rs9121314 --- Di Martino, G.; Iodice, A.; Riccio, D.; Ruello, G.; Zinno, I. The Role of Resolution in the Estimation of Fractal Dimension Maps From SAR Data. Remote Sens. 2018, 10(1), 9; https://doi.org/10.3390/rs10010009 --- Garthwaite, M. Correction: Garthwaite, M.C. on the Design of Radar Corner Reflectors for Deformation Monitoring in Multi-Frequency InSAR. Remote Sens. 2017, 9, 648. Remote Sens. 2018, 10(1), 86; https://doi.org/10.3390/rs10010086 --- Zhang, H.; Tang, J.; Wang, R.; Deng, Y.; Wang, W.; Li, N. An Accelerated Backprojection Algorithm for Monostatic and Bistatic SAR Processing. Remote Sens. 2018, 10(1), 140; https://doi.org/10.3390/rs10010140 --- Eshqi Molan, Y.; Kim, J.; Lu, Z.; Agram, P. L-Band Temporal Coherence Assessment and Modeling Using Amplitude and Snow Depth over Interior Alaska. Remote Sens. 2018, 10(1), 150; https://doi.org/10.3390/rs10010150 --- Dong, Y.; Jiang, H.; Zhang, L.; Liao, M. An Efficient Maximum Likelihood Estimation Approach of Multi-Baseline SAR Interferometry for Refined Topographic Mapping in Mountainous Areas. Remote Sens. 2018, 10(3), 454; https://doi.org/10.3390/rs10030454 --- Bu, Y.; Liang, X.; Wang, Y.; Zhang, F.; Li, Y. A Unified Algorithm for Channel Imbalance and Antenna Phase Center Position Calibration of a Single-Pass Multi-Baseline TomoSAR System. Remote Sens. 2018, 10(3), 456; https://doi.org/10.3390/rs10030456 --- Neelmeijer, J.; Schöne, T.; Dill, R.; Klemann, V.; Motagh, M. Ground Deformations around the Toktogul Reservoir, Kyrgyzstan, from Envisat ASAR and Sentinel-1 Data—A Case Study about the Impact of Atmospheric Corrections on InSAR Time Series. Remote Sens. 2018, 10(3), 462; https://doi.org/10.3390/rs10030462 --- Tian, X.; Malhotra, R.; Xu, B.; Qi, H.; Ma, Y. Modeling Orbital Error in InSAR Interferogram Using Frequency and Spatial Domain Based Methods. Remote Sens. 2018, 10(4), 508; https://doi.org/10.3390/rs10040508 --- Even, M.; Schulz, K. InSAR Deformation Analysis with Distributed Scatterers: A Review Complemented by New Advances. Remote Sens. 2018, 10(5), 744; https://doi.org/10.3390/rs10050744 --- Washaya, P.; Balz, T.; Mohamadi, B. Coherence Change-Detection with Sentinel-1 for Natural and Anthropogenic Disaster Monitoring in Urban Areas. Remote Sens. 2018, 10(7), 1026; https://doi.org/10.3390/rs10071026 --- Balz, T.; Sörgel, U.; Crespi, M.; Osmanoglu, B. Editorial for Special Issue “Advances in SAR: Sensors, Methodologies, and Applications”. Remote Sens. 2018, 10(8), 1233; https://doi.org/10.3390/rs10081233
    Pages: Online-Ressource (X, 515 Seiten) , Illustrationen, Diagramme, Karten
    Edition: Printed Edition of the Special Issue Published in Remote Sensing
    ISBN: 9783038971832
    URL: https://www.mdpi.com/books/pdfview/book/799
    Language: English
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  • 5
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    Sea Surface Temperature Retrievals from Remote Sensing (2018)
    Basel, Beijing, Wuhan, Barcelona, Belgrade : MDPI
    Details
    Keywords: Remote Sensing ; Sea Surface Temperature ; Infrared ; Microwave ; Accuracy
    Description / Table of Contents: Does Sea Surface Temperature Contribute to Determining Range Limits and Expansion of Mangroves in Eastern South America (Brazil)? / by Arimatéa C. Ximenes, Leandro Ponsoni, Catarina F. Lira, Nico Koedam and Farid Dahdouh-Guebas. Remote Sensing 2018, 10(11), 1787; https://doi.org/10.3390/rs10111787 --- Sea Surface Temperature (SST) Variability of the Eastern Coastal Zone of the Gulf of California / by Carlos Manuel Robles-Tamayo, José Eduardo Valdez-Holguín, Ricardo García-Morales, Gudelia Figueroa-Preciado, Hugo Herrera-Cervantes, Juana López-Martínez and Luis Fernando Enríquez-Ocaña. Remote Sensing 2018, 10(9), 1434; https://doi.org/10.3390/rs10091434 --- Quality Assessment of Sea Surface Temperature from ATSRs of the Climate Change Initiative (Phase 1) / by Christoforos Tsamalis and Roger Saunders. Remote Sensing 2018, 10(4), 497; https://doi.org/10.3390/rs10040497 --- Confirmation of ENSO-Southern Ocean Teleconnections Using Satellite-Derived SST / by Brady S. Ferster, Bulusu Subrahmanyam and Alison M. Macdonald. Remote Sensing 2018, 10(2), 331; https://doi.org/10.3390/rs10020331 --- Spatio-Temporal Interpolation of Cloudy SST Fields Using Conditional Analog Data Assimilation / by Ronan Fablet, Phi Huynh Viet, Redouane Lguensat, Pierre-Henri Horrein and Bertrand Chapron. Remote Sensing 2018, 10(2), 310; https://doi.org/10.3390/rs10020310 --- Optimal Estimation of Sea Surface Temperature from AMSR-E / by Pia Nielsen-Englyst, Jacob L. Høyer, Leif Toudal Pedersen, Chelle L. Gentemann, Emy Alerskans, Tom Block and Craig Donlon. Remote Sensing 2018, 10(2), 229; https://doi.org/10.3390/rs10020229 --- Exploring Machine Learning to Correct Satellite-Derived Sea Surface Temperatures / by Stéphane Saux Picart, Pierre Tandeo, Emmanuelle Autret and Blandine Gausset. Remote Sensing 2018, 10(2), 224; https://doi.org/10.3390/rs10020224 --- The Accuracies of Himawari-8 and MTSAT-2 Sea-Surface Temperatures in the Tropical Western Pacific Ocean / by Angela L. Ditri, Peter J. Minnett, Yang Liu, Katherine Kilpatrick and Ajoy Kumar. Remote Sensing 2018, 10(2), 212; https://doi.org/10.3390/rs10020212 --- Role of El Niño Southern Oscillation (ENSO) Events on Temperature and Salinity Variability in the Agulhas Leakage Region / by Morgan L. Paris and Bulusu Subrahmanyam. Remote Sensing 2018, 10(1), 127; https://doi.org/10.3390/rs10010127 --- Stability Assessment of the (A)ATSR Sea Surface Temperature Climate Dataset from the European Space Agency Climate Change Initiative / by David I. Berry, Gary K. Corlett, Owen Embury and Christopher J. Merchant. Remote Sensing 2018, 10(1), 126; https://doi.org/10.3390/rs10010126 --- Bayesian Cloud Detection for 37 Years of Advanced Very High Resolution Radiometer (AVHRR) Global Area Coverage (GAC) Data / by Claire E. Bulgin, Jonathan P. D. Mittaz, Owen Embury, Steinar Eastwood and Christopher J. Merchant. Remote Sensing 2018, 10(1), 97; https://doi.org/10.3390/rs10010097 --- The Role of Advanced Microwave Scanning Radiometer 2 Channels within an Optimal Estimation Scheme for Sea Surface Temperature / by Kevin Pearson, Christopher Merchant, Owen Embury and Craig Donlon. Remote Sensing 2018, 10(1), 90; https://doi.org/10.3390/rs10010090 --- Remote Sensing of Coral Bleaching Using Temperature and Light: Progress towards an Operational Algorithm / by William Skirving, Susana Enríquez, John D. Hedley, Sophie Dove, C. Mark Eakin, Robert A. B. Mason, Jacqueline L. De La Cour, Gang Liu, Ove Hoegh-Guldberg, Alan E. Strong, Peter J. Mumby and Roberto Iglesias-Prieto. Remote Sensing 2018, 10(1), 18; https://doi.org/10.3390/rs10010018 --- Reconstruction of Daily Sea Surface Temperature Based on Radial Basis Function Networks / by Zhihong Liao, Qing Dong, Cunjin Xue, Jingwu Bi and Guangtong Wan. Remote Sensing 2017, 9(11), 1204; https://doi.org/10.3390/rs9111204 --- Submesoscale Sea Surface Temperature Variability from UAV and Satellite Measurements / by Sandra L. Castro, William J. Emery, Gary A. Wick and William Tandy. Remote Sensing 2017, 9(11), 1089; https://doi.org/10.3390/rs9111089 --- Environmental Variability and Oceanographic Dynamics of the Central and Southern Coastal Zone of Sonora in the Gulf of California / by Ricardo García-Morales, Juana López-Martínez, Jose Eduardo Valdez-Holguin, Hugo Herrera-Cervantes and Luis Daniel Espinosa-Chaurand. Remote Sensing 2017, 9(9), 925; https://doi.org/10.3390/rs9090925 --- Determining the Pixel-to-Pixel Uncertainty in Satellite-Derived SST Fields / by Fan Wu, Peter Cornillon, Brahim Boussidi and Lei Guan. Remote Sensing 2017, 9(9), 877; https://doi.org/10.3390/rs9090877 --- Evaluation of the Multi-Scale Ultra-High Resolution (MUR) Analysis of Lake Surface Temperature / by Erik Crosman, Jorge Vazquez-Cuervo and Toshio Michael Chin. Remote Sensing 2017, 9(7), 723; https://doi.org/10.3390/rs9070723
    Pages: Online-Ressource (XI, 326 Seiten) , Illustrationen, Diagramme, Karten
    Edition: Printed Edition of the Special Issue Published in Remote Sensing
    ISBN: 9783038974802
    URL: https://www.mdpi.com/books/pdfview/book/1058
    Language: English
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  • 6
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    Groundwater Contamination and Remediation (2018)
    Basel, Beijing, Wuhan, Barcelona, Belgrade : MDPI
    Details
    Keywords: groundwater ; contamination ; remediation ; reactive transport ; monitored natural attenuation ; bioremediation ; water quality
    Description / Table of Contents: Groundwater Contamination, Subsurface Processes, and Remediation Methods: Overview of the Special Issue of Water on Groundwater Contamination and Remediation / Water 2018, 10(12), 1708; https://doi.org/10.3390/w10121708 --- Support Tool for Identifying In Situ Remediation Technology for Sites Contaminated by Hexavalent Chromium / Water 2018, 10(10), 1344; https://doi.org/10.3390/w10101344 --- Expanded Application of the Passive Flux Meter: In-Situ Measurements of 1,4-Dioxane, Sulfate, Cr(VI) and RDX / Water 2018, 10(10), 1335; https://doi.org/10.3390/w10101335 --- Coupled Thermally-Enhanced Bioremediation and Renewable Energy Storage System: Conceptual Framework and Modeling Investigation / Water 2018, 10(10), 1288; https://doi.org/10.3390/w10101288 --- The Use of a Polymer Inclusion Membrane for Arsenate Determination in Groundwater / Water 2018, 10(8), 1093; https://doi.org/10.3390/w10081093 --- Bacterial Productivity in a Ferrocyanide-Contaminated Aquifer at a Nuclear Waste Site / Water 2018, 10(8), 1072; https://doi.org/10.3390/w10081072 --- Assessing Decadal Trends of a Nitrate-Contaminated Shallow Aquifer in Western Nebraska Using Groundwater Isotopes, Age-Dating, and Monitoring / Water 2018, 10(8), 1047; https://doi.org/10.3390/w10081047 --- Multivariate and Spatial Analysis of Physicochemical Parameters in an Irrigation District, Chihuahua, Mexico / Water 2018, 10(8), 1037; https://doi.org/10.3390/w10081037 --- Spatial Pattern of Bacterial Community Diversity Formed in Different Groundwater Field Corresponding to Electron Donors and Acceptors Distributions at a Petroleum-Contaminated Site / Water 2018, 10(7), 842; https://doi.org/10.3390/w10070842 --- Comparison of Time Nonlocal Transport Models for Characterizing Non-Fickian Transport: From Mathematical Interpretation to Laboratory Application / Water 2018, 10(6), 778; https://doi.org/10.3390/w10060778 --- Potential Impact of In-Situ Oil Shale Exploitation on Aquifer System / Water 2018, 10(5), 649; https://doi.org/10.3390/w10050649
    Pages: Online-Ressource (VII, 174 Seiten) , Illustrationen, Diagramme, Karten
    Edition: Printed Edition of the Special Issue Published in Water
    ISBN: 9783038974307
    URL: https://www.mdpi.com/books/pdfview/book/1052
    Language: English
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  • 7
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    Sea Surface Temperature Retrievals from Remote Sensing (2018)
    Basel, Beijing, Wuhan, Barcelona, Belgrade : MDPI
    Details
    Keywords: Remote Sensing ; Sea Surface Temperature ; Infrared ; Microwave ; Accuracy
    Description / Table of Contents: Does Sea Surface Temperature Contribute to Determining Range Limits and Expansion of Mangroves in Eastern South America (Brazil)? / by Arimatéa C. Ximenes, Leandro Ponsoni, Catarina F. Lira, Nico Koedam and Farid Dahdouh-Guebas / Remote Sens. 2018, 10(11), 1787; https://doi.org/10.3390/rs10111787 --- Sea Surface Temperature (SST) Variability of the Eastern Coastal Zone of the Gulf of California / by Carlos Manuel Robles-Tamayo, José Eduardo Valdez-Holguín, Ricardo García-Morales, Gudelia Figueroa-Preciado, Hugo Herrera-Cervantes, Juana López-Martínez and Luis Fernando Enríquez-Ocaña / Remote Sens. 2018, 10(9), 1434; https://doi.org/10.3390/rs10091434 --- Quality Assessment of Sea Surface Temperature from ATSRs of the Climate Change Initiative (Phase 1) / by Christoforos Tsamalis and Roger Saunders / Remote Sens. 2018, 10(4), 497; https://doi.org/10.3390/rs10040497 --- Confirmation of ENSO-Southern Ocean Teleconnections Using Satellite-Derived SST / by Brady S. Ferster, Bulusu Subrahmanyam and Alison M. Macdonald / Remote Sens. 2018, 10(2), 331; https://doi.org/10.3390/rs10020331 --- Spatio-Temporal Interpolation of Cloudy SST Fields Using Conditional Analog Data Assimilation / by Ronan Fablet, Phi Huynh Viet, Redouane Lguensat, Pierre-Henri Horrein and Bertrand Chapron / Remote Sens. 2018, 10(2), 310; https://doi.org/10.3390/rs10020310 --- Optimal Estimation of Sea Surface Temperature from AMSR-E / by Pia Nielsen-Englyst, Jacob L. Høyer, Leif Toudal Pedersen, Chelle L. Gentemann, Emy Alerskans, Tom Block and Craig Donlon / Remote Sens. 2018, 10(2), 229; https://doi.org/10.3390/rs10020229 --- Exploring Machine Learning to Correct Satellite-Derived Sea Surface Temperatures / by Stéphane Saux Picart, Pierre Tandeo, Emmanuelle Autret and Blandine Gausset / Remote Sens. 2018, 10(2), 224; https://doi.org/10.3390/rs10020224 --- The Accuracies of Himawari-8 and MTSAT-2 Sea-Surface Temperatures in the Tropical Western Pacific Ocean / by Angela L. Ditri, Peter J. Minnett, Yang Liu, Katherine Kilpatrick and Ajoy Kumar / Remote Sens. 2018, 10(2), 212; https://doi.org/10.3390/rs10020212 --- Role of El Niño Southern Oscillation (ENSO) Events on Temperature and Salinity Variability in the Agulhas Leakage Region / by Morgan L. Paris and Bulusu Subrahmanyam / Remote Sens. 2018, 10(1), 127; https://doi.org/10.3390/rs10010127 --- Stability Assessment of the (A)ATSR Sea Surface Temperature Climate Dataset from the European Space Agency Climate Change Initiative / by David I. Berry, Gary K. Corlett, Owen Embury and Christopher J. Merchant / Remote Sens. 2018, 10(1), 126; https://doi.org/10.3390/rs10010126 --- Bayesian Cloud Detection for 37 Years of Advanced Very High Resolution Radiometer (AVHRR) Global Area Coverage (GAC) Data / by Claire E. Bulgin, Jonathan P. D. Mittaz, Owen Embury, Steinar Eastwood and Christopher J. Merchant / Remote Sens. 2018, 10(1), 97; https://doi.org/10.3390/rs10010097 --- The Role of Advanced Microwave Scanning Radiometer 2 Channels within an Optimal Estimation Scheme for Sea Surface Temperature / by Kevin Pearson, Christopher Merchant, Owen Embury and Craig Donlon / Remote Sens. 2018, 10(1), 90; https://doi.org/10.3390/rs10010090 --- Remote Sensing of Coral Bleaching Using Temperature and Light: Progress towards an Operational Algorithm / by William Skirving, Susana Enríquez, John D. Hedley, Sophie Dove, C. Mark Eakin, Robert A. B. Mason, Jacqueline L. De La Cour, Gang Liu, Ove Hoegh-Guldberg, Alan E. Strong, Peter J. Mumby and Roberto Iglesias-Prieto / Remote Sens. 2018, 10(1), 18; https://doi.org/10.3390/rs10010018 --- Reconstruction of Daily Sea Surface Temperature Based on Radial Basis Function Networks / by Zhihong Liao, Qing Dong, Cunjin Xue, Jingwu Bi and Guangtong Wan / Remote Sens. 2017, 9(11), 1204; https://doi.org/10.3390/rs9111204 --- Submesoscale Sea Surface Temperature Variability from UAV and Satellite Measurements / by Sandra L. Castro, William J. Emery, Gary A. Wick and William Tandy / Remote Sens. 2017, 9(11), 1089; https://doi.org/10.3390/rs9111089 --- Environmental Variability and Oceanographic Dynamics of the Central and Southern Coastal Zone of Sonora in the Gulf of California by Ricardo García-Morales, Juana López-Martínez, Jose Eduardo Valdez-Holguin, Hugo Herrera-Cervantes and Luis Daniel Espinosa-Chaurand Remote Sens. 2017, 9(9), 925; https://doi.org/10.3390/rs9090925 --- Determining the Pixel-to-Pixel Uncertainty in Satellite-Derived SST Fields / by Fan Wu, Peter Cornillon, Brahim Boussidi and Lei Guan / Remote Sens. 2017, 9(9), 877; https://doi.org/10.3390/rs9090877 --- Evaluation of the Multi-Scale Ultra-High Resolution (MUR) Analysis of Lake Surface Temperature / by Erik Crosman, Jorge Vazquez-Cuervo and Toshio Michael Chin / Remote Sens. 2017, 9(7), 723; https://doi.org/10.3390/rs9070723
    Pages: Online-Ressource (XI, 326 Seiten) , Illustrationen, Diagramme, Karten
    Edition: Printed Edition of the Special Issue Published in Remote Sensing
    ISBN: 9783038974802
    URL: https://www.mdpi.com/books/pdfview/book/1058
    Language: English
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    Hydrological Hazard : Analysis and Prevention (2018)
    Basel, Beijing, Wuhan, Barcelona, Belgrade : MDPI
    Details
    Keywords: Regional flood and drought analysis ; Case studies and comparative studies in different parts of the world ; Analyses of regional/global patterns and trends ; Effects of land-use or land-cover change on hydrological extremes ; Prediction and prevention of hydrological extremes ; Use of satellite and climate data for drought analysis ; Innovative modelling methods for flood hazards ; Strategies for reducing the vulnerability to hydrological extremes ; Climate change and hydrogeologicl risk
    Description / Table of Contents: Bezak, N.; Šraj, M.; Rusjan, S.; Mikoš, M. Impact of the Rainfall Duration and Temporal Rainfall Distribution Defined Using the Huff Curves on the Hydraulic Flood Modelling Results. Geosciences 2018, 8(2), 69; https://doi.org/10.3390/geosciences8020069 --- Beretta, R.; Ravazzani, G.; Maiorano, C.; Mancini, M. Simulating the Influence of Buildings on Flood Inundation in Urban Areas. Geosciences 2018, 8(2), 77; https://doi.org/10.3390/geosciences8020077 --- Terranova, O.; Gariano, S.; Iaquinta, P.; Lupiano, V.; Rago, V.; Iovine, G. Examples of Application of GASAKe for Predicting the Occurrence of Rainfall-Induced Landslides in Southern Italy. Geosciences 2018, 8(2), 78; https://doi.org/10.3390/geosciences8020078 --- Caloiero, T. SPI Trend Analysis of New Zealand Applying the ITA Technique. Geosciences 2018, 8(3), 101; https://doi.org/10.3390/geosciences8030101 --- Bouvier, C.; Bouchenaki, L.; Tramblay, Y. Comparison of SCS and Green-Ampt Distributed Models for Flood Modelling in a Small Cultivated Catchment in Senegal. Geosciences 2018, 8(4), 122; https://doi.org/10.3390/geosciences8040122 --- Ferrari, E.; Coscarelli, R.; Sirangelo, B. Correlation Analysis of Seasonal Temperature and Precipitation in a Region of Southern Italy. Geosciences 2018, 8(5), 160; https://doi.org/10.3390/geosciences8050160 --- Lombardi, G.; Ceppi, A.; Ravazzani, G.; Davolio, S.; Mancini, M. From Deterministic to Probabilistic Forecasts: The ‘Shift-Target’ Approach in the Milan Urban Area (Northern Italy). Geosciences 2018, 8(5), 181; https://doi.org/10.3390/geosciences8050181 --- Paul, S.; Sharif, H.; Crawford, A. Fatalities Caused by Hydrometeorological Disasters in Texas. Geosciences 2018, 8(5), 186; https://doi.org/10.3390/geosciences8050186 --- Furl, C.; Ghebreyesus, D.; Sharif, H. Assessment of the Performance of Satellite-Based Precipitation Products for Flood Events across Diverse Spatial Scales Using GSSHA Modeling System. Geosciences 2018, 8(6), 191; https://doi.org/10.3390/geosciences8060191 --- Islam, M.; Hofstra, N.; Sokolova, E. Modelling the Present and Future Water Level and Discharge of the Tidal Betna River. Geosciences 2018, 8(8), 271; https://doi.org/10.3390/geosciences8080271 --- Hossain, I.; Esha, R.; Alam Imteaz, M. An Attempt to Use Non-Linear Regression Modelling Technique in Long-Term Seasonal Rainfall Forecasting for Australian Capital Territory. Geosciences 2018, 8(8), 282; https://doi.org/10.3390/geosciences8080282 --- Schmid-Breton, A.; Kutschera, G.; Botterhuis, T.; The ICPR Expert Group ‘Flood Risk Analysis’ (EG HIRI) A Novel Method for Evaluation of Flood Risk Reduction Strategies: Explanation of ICPR FloRiAn GIS-Tool and Its First Application to the Rhine River Basin. Geosciences 2018, 8(10), 371; https://doi.org/10.3390/geosciences8100371 --- Paul, S.; Sharif, H. Analysis of Damage Caused by Hydrometeorological Disasters in Texas, 1960–2016. Geosciences 2018, 8(10), 384; https://doi.org/10.3390/geosciences8100384 --- Caloiero, T. Hydrological Hazard: Analysis and Prevention. Geosciences 2018, 8(11), 389; https://doi.org/10.3390/geosciences8110389
    Pages: Online-Ressource (IX, 205 Seiten) , Illustrationen, Diagramme, Karten
    Edition: Printed Edition of the Special Issue Published in Geosciences
    ISBN: 9783038973751
    URL: https://www.mdpi.com/books/pdfview/book/870
    Language: English
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  • 9
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    Mineralogy of Quartz and Silica Minerals (2018)
    Basel, Beijing, Wuhan, Barcelona, Belgrade : MDPI
    Details
    Keywords: quartz ; opal ; agate ; SiO2 deposits and raw materials ; processing of quartz raw materials ; analytics of high-purity quartz ; quartz mineralogy ; structure and properties of quartz ; geochemistry/trace elements ; spectroscopic methods
    Description / Table of Contents: Lin, M.; Pei, Z.; Lei, S. Mineralogy and Processing of Hydrothermal Vein Quartz from Hengche, Hubei Province (China). Minerals 2017, 7(9), 161; https://doi.org/10.3390/min7090161 --- Götze, J.; Pan, Y.; Müller, A.; Kotova, E.; Cerin, D. Trace Element Compositions and Defect Structures of High-Purity Quartz from the Southern Ural Region, Russia. Minerals 2017, 7(10), 189; https://doi.org/10.3390/min7100189 --- Liesegang, M.; Milke, R. Silica Colloid Ordering in a Dynamic Sedimentary Environment. Minerals 2018, 8(1), 12; https://doi.org/10.3390/min8010012 --- Pei, Z.; Lin, M.; Liu, Y.; Lei, S. Dissolution Behaviors of Trace Muscovite during Pressure Leaching of Hydrothermal Vein Quartz Using H2SO4 and NH4Cl as Leaching Agents. Minerals 2018, 8(2), 60; https://doi.org/10.3390/min8020060 --- Richter-Feig, J.; Möckel, R.; Götze, J.; Heide, G. Investigation of Fluids in Macrocrystalline and Microcrystalline Quartz in Agate Using Thermogravimetry-Mass-Spectrometry. Minerals 2018, 8(2), 72; https://doi.org/10.3390/min8020072 --- Guatame-Garcia, A.; Buxton, M. The Use of Infrared Spectroscopy to Determine the Quality of Carbonate-Rich Diatomite Ores. Minerals 2018, 8(3), 120; https://doi.org/10.3390/min8030120 --- Müller, A.; Ganerød, M.; Wiedenbeck, M.; Svendsen Spjelkavik, S.; Selbekk, R. The Hydrothermal Breccia of Berglia-Glassberget, Trøndelag, Norway: Snapshot of a Triassic Earthquake. Minerals 2018, 8(5), 175; https://doi.org/10.3390/min8050175 --- Sittner, J.; Götze, J. Cathodoluminescence (CL) Characteristics of Quartz from Different Metamorphic Rocks within the Kaoko Belt (Namibia). Minerals 2018, 8(5), 190; https://doi.org/10.3390/min8050190 --- Kayama, M.; Nagaoka, H.; Niihara, T. Lunar and Martian Silica. Minerals 2018, 8(7), 267; https://doi.org/10.3390/min8070267 --- Voudouris, P.; Melfos, V.; Mavrogonatos, C.; Tarantola, A.; Gӧtze, J.; Alfieris, D.; Maneta, V.; Psimis, I. Amethyst Occurrences in Tertiary Volcanic Rocks of Greece: Mineralogical, Fluid Inclusion and Oxygen Isotope Constraints on Their Genesis. Minerals 2018, 8(8), 324; https://doi.org/10.3390/min8080324 --- Taksavasu, T.; Monecke, T.; Reynolds, T. Textural Characteristics of Noncrystalline Silica in Sinters and Quartz Veins: Implications for the Formation of Bonanza Veins in Low-Sulfidation Epithermal Deposits. Minerals 2018, 8(8), 331; https://doi.org/10.3390/min8080331 --- Wertich, V.; Leichmann, J.; Dosbaba, M.; Götze, J. Multi-Stage Evolution of Gold-Bearing Hydrothermal Quartz Veins at the Mokrsko Gold Deposit (Czech Republic) Based on Cathodoluminescence, Spectroscopic, and Trace Elements Analyses. Minerals 2018, 8(8), 335; https://doi.org/10.3390/min8080335 --- Trümper, S.; Rößler, R.; Götze, J. Deciphering Silicification Pathways of Fossil Forests: Case Studies from the Late Paleozoic of Central Europe. Minerals 2018, 8(10), 432; https://doi.org/10.3390/min8100432 --- Götze, J. Editorial for Special Issue “Mineralogy of Quartz and Silica Minerals”. Minerals 2018, 8(10), 467; https://doi.org/10.3390/min8100467
    Pages: Online-Ressource (IX, 261 Seiten) , Illustrationen, Diagramme, Karten
    Edition: Printed Edition of the Special Issue Published in Minerals
    ISBN: 9783038973492
    URL: https://www.mdpi.com/books/pdfview/book/871
    Language: English
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  • 10
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    UAV‐Based Remote Sensing : Volume 2 (2018)
    Basel, Beijing, Wuhan, Barcelona, Belgrade : MDPI
    Details
    Keywords: UAV-Based Remote Sensing ; drones ; aerial robotics ; environmental science ; remote sensing ; UAV images ; augmented reality tools ; segmentation in digital surface models for 3D reconstruction ; detection ; location and grasping objects ; multi-target localization ; vision-based tracking in cooperative multi-UAV systems ; noise suppression techniques ; rectification for oblique images ; two-UAV communication system ; fuzzy-based hybrid control algorithms ; pedestrian detection and tracking as well as a range of atmospheric ; geological ; agricultural ; ecological ; reef ; wildlife ; building and construction ; coastal area coverage ; search and rescue (SAR) ; water plume temperature measurements ; aeromagnetic and archaeological surveys
    Description / Table of Contents: Mesas-Carrascosa, F.; Notario García, M.; Meroño de Larriva, J.; García-Ferrer, A. An Analysis of the Influence of Flight Parameters in the Generation of Unmanned Aerial Vehicle (UAV) Orthomosaicks to Survey Archaeological Areas. Sensors 2016, 16(11), 1838; https://doi.org/10.3390/s16111838 --- Ni, J.; Yao, L.; Zhang, J.; Cao, W.; Zhu, Y.; Tai, X. Development of an Unmanned Aerial Vehicle-Borne Crop-Growth Monitoring System. Sensors 2017, 17(3), 502; https://doi.org/10.3390/s17030502 --- Popescu, D.; Ichim, L.; Stoican, F. Unmanned Aerial Vehicle Systems for Remote Estimation of Flooded Areas Based on Complex Image Processing. Sensors 2017, 17(3), 446; https://doi.org/10.3390/s17030446 --- Ramon Soria, P.; Arrue, B.; Ollero, A. Detection, Location and Grasping Objects Using a Stereo Sensor on UAV in Outdoor Environments. Sensors 2017, 17(1), 103; https://doi.org/10.3390/s17010103 --- Rodriguez Salazar, L.; Cobano, J.; Ollero, A. Small UAS-Based Wind Feature Identification System Part 1: Integration and Validation. Sensors 2017, 17(1), 8; https://doi.org/10.3390/s17010008 --- Ruano, S.; Cuevas, C.; Gallego, G.; García, N. Augmented Reality Tool for the Situational Awareness Improvement of UAV Operators. Sensors 2017, 17(2), 297; https://doi.org/10.3390/s17020297 --- Shi, C.; Salous, S.; Wang, F.; Zhou, J. Cramer-Rao Lower Bound Evaluation for Linear Frequency Modulation Based Active Radar Networks Operating in a Rice Fading Environment. Sensors 2016, 16(12), 2072; https://doi.org/10.3390/s16122072 --- Sørensen, L.; Jacobsen, L.; Hansen, J. Low Cost and Flexible UAV Deployment of Sensors. Sensors 2017, 17(1), 154; https://doi.org/10.3390/s17010154 --- Sun, J.; Li, B.; Jiang, Y.; Wen, C. A Camera-Based Target Detection and Positioning UAV System for Search and Rescue (SAR) Purposes. Sensors 2016, 16(11), 1778; https://doi.org/10.3390/s16111778 --- Tian, J.; Li, X.; Duan, F.; Wang, J.; Ou, Y. An Efficient Seam Elimination Method for UAV Images Based on Wallis Dodging and Gaussian Distance Weight Enhancement. Sensors 2016, 16(5), 662; https://doi.org/10.3390/s16050662 --- Tožička, J.; Komenda, A. Diverse Planning for UAV Control and Remote Sensing. Sensors 2016, 16(12), 2199; https://doi.org/10.3390/s16122199 --- Vanhoutte, E.; Mafrica, S.; Ruffier, F.; Bootsma, R.; Serres, J. Time-of-Travel Methods for Measuring Optical Flow on Board a Micro Flying Robot. Sensors 2017, 17(3), 571; https://doi.org/10.3390/s17030571 --- Vetrella, A.; Fasano, G.; Accardo, D.; Moccia, A. Differential GNSS and Vision-Based Tracking to Improve Navigation Performance in Cooperative Multi-UAV Systems. Sensors 2016, 16(12), 2164; https://doi.org/10.3390/s16122164 --- Villa, T.; Gonzalez, F.; Miljievic, B.; Ristovski, Z.; Morawska, L. An Overview of Small Unmanned Aerial Vehicles for Air Quality Measurements: Present Applications and Future Prospectives. Sensors 2016, 16(7), 1072; https://doi.org/10.3390/s16071072 --- Villa, T.; Salimi, F.; Morton, K.; Morawska, L.; Gonzalez, F. Development and Validation of a UAV Based System for Air Pollution Measurements. Sensors 2016, 16(12), 2202; https://doi.org/10.3390/s16122202 --- Wang, X.; Liu, J.; Zhou, Q. Real-Time Multi-Target Localization from Unmanned Aerial Vehicles. Sensors 2017, 17(1), 33; https://doi.org/10.3390/s17010033 --- Wang, Y.; Cao, Y. Coordinated Target Tracking via a Hybrid Optimization Approach. Sensors 2017, 17(3), 472; https://doi.org/10.3390/s17030472 --- Xu, Y.; Yu, G.; Wang, Y.; Wu, X.; Ma, Y. A Hybrid Vehicle Detection Method Based on Viola-Jones and HOG + SVM from UAV Images. Sensors 2016, 16(8), 1325; https://doi.org/10.3390/s16081325 --- Xu, L.; Luo, H.; Hui, B.; Chang, Z. Real-Time Robust Tracking for Motion Blur and Fast Motion via Correlation Filters. Sensors 2016, 16(9), 1443; https://doi.org/10.3390/s16091443 --- Yan, Y.; Gao, F.; Deng, S.; Su, N. A Hierarchical Building Segmentation in Digital Surface Models for 3D Reconstruction. Sensors 2017, 17(2), 222; https://doi.org/10.3390/s17020222
    Pages: Online-Ressource (VII, 393 Seiten) , Illustrationen, Diagramme, Karten
    Edition: Printed Edition of the Special Issue Published in Sensors
    ISBN: 9783038428565
    URL: http://www.mdpi.com/books/pdfview/book/605
    Language: English
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  • 11
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    UAV‐Based Remote Sensing : Volume 1 (2018)
    Basel, Beijing, Wuhan, Barcelona, Belgrade : MDPI
    Details
    Keywords: UAV-Based Remote Sensing ; drones ; aerial robotics ; environmental science ; remote sensing ; UAV images ; augmented reality tools ; segmentation in digital surface models for 3D reconstruction ; detection ; location and grasping objects ; multi-target localization ; vision-based tracking in cooperative multi-UAV systems ; noise suppression techniques ; rectification for oblique images ; two-UAV communication system ; fuzzy-based hybrid control algorithms ; pedestrian detection and tracking as well as a range of atmospheric ; geological ; agricultural ; ecological ; reef ; wildlife ; building and construction ; coastal area coverage ; search and rescue (SAR) ; water plume temperature measurements ; aeromagnetic and archaeological surveys
    Description / Table of Contents: Ali, Z.; Wang, D.; Aamir, M. Fuzzy-Based Hybrid Control Algorithm for the Stabilization of a Tri-Rotor UAV. Sensors 2016, 16(5), 652; https://doi.org/10.3390/s16050652 --- Al-Kaff, A.; García, F.; Martín, D.; De La Escalera, A.; Armingol, J. Obstacle Detection and Avoidance System Based on Monocular Camera and Size Expansion Algorithm for UAVs. Sensors 2017, 17(5), 1061; https://doi.org/10.3390/s17051061 --- Alvarado, M.; Gonzalez, F.; Erskine, P.; Cliff, D.; Heuff, D. A Methodology to Monitor Airborne PM10 Dust Particles Using a Small Unmanned Aerial Vehicle. Sensors 2017, 17(2), 343; https://doi.org/10.3390/s17020343 --- Bai, G.; Liu, J.; Song, Y.; Zuo, Y. Two-UAV Intersection Localization System Based on the Airborne Optoelectronic Platform. Sensors 2017, 17(1), 98; https://doi.org/10.3390/s17010098 --- Balampanis, F.; Maza, I.; Ollero, A. Coastal Areas Division and Coverage with Multiple UAVs for Remote Sensing. Sensors 2017, 17(4), 808; https://doi.org/10.3390/s17040808 --- DeMario, A.; Lopez, P.; Plewka, E.; Wix, R.; Xia, H.; Zamora, E.; Gessler, D.; Yalin, A. Water Plume Temperature Measurements by an Unmanned Aerial System (UAS). Sensors 2017, 17(2), 306; https://doi.org/10.3390/s17020306 --- Evans, L.; Jones, T.; Pang, K.; Saimin, S.; Goossens, B. Spatial Ecology of Estuarine Crocodile (Crocodylus porosus) Nesting in a Fragmented Landscape. Sensors 2016, 16(9), 1527; https://doi.org/10.3390/s16091527 --- Fu, C.; Duan, R.; Kircali, D.; Kayacan, E. Onboard Robust Visual Tracking for UAVs Using a Reliable Global-Local Object Model. Sensors 2016, 16(9), 1406; https://doi.org/10.3390/s16091406 --- Gašparović, M.; Jurjević, L. Gimbal Influence on the Stability of Exterior Orientation Parameters of UAV Acquired Images. Sensors 2017, 17(2), 401; https://doi.org/10.3390/s17020401 --- Greatwood, C.; Richardson, T.; Freer, J.; Thomas, R.; MacKenzie, A.; Brownlow, R.; Lowry, D.; Fisher, R.; Nisbet, E. Atmospheric Sampling on Ascension Island Using Multirotor UAVs. Sensors 2017, 17(6), 1189; https://doi.org/10.3390/s17061189 --- Itkin, M.; Kim, M.; Park, Y. Development of Cloud-Based UAV Monitoring and Management System. Sensors 2016, 16(11), 1913; https://doi.org/10.3390/s16111913 --- Kedzierski, M.; Delis, P. Fast Orientation of Video Images of Buildings Acquired from a UAV without Stabilization. Sensors 2016, 16(7), 951; https://doi.org/10.3390/s16070951 --- Kyristsis, S.; Antonopoulos, A.; Chanialakis, T.; Stefanakis, E.; Linardos, C.; Tripolitsiotis, A.; Partsinevelos, P. Towards Autonomous Modular UAV Missions: The Detection, Geo-Location and Landing Paradigm. Sensors 2016, 16(11), 1844; https://doi.org/10.3390/s16111844 --- Li, B.; Jiang, Y.; Sun, J.; Cai, L.; Wen, C. Development and Testing of a Two-UAV Communication Relay System. Sensors 2016, 16(10), 1696; https://doi.org/10.3390/s16101696 --- Li, H.; Wu, L.; Li, Y.; Li, C.; Li, H. A Novel Method for Vertical Acceleration Noise Suppression of a Thrust-Vectored VTOL UAV. Sensors 2016, 16(12), 2054; https://doi.org/10.3390/s16122054 --- Liu, Z.; Wang, Z.; Xu, M. Cubature Information SMC-PHD for Multi-Target Tracking. Sensors 2016, 16(5), 653; https://doi.org/10.3390/s16050653 --- Liu, J.; Guo, B.; Jiang, W.; Gong, W.; Xiao, X. Epipolar Rectification with Minimum Perspective Distortion for Oblique Images. Sensors 2016, 16(11), 1870; https://doi.org/10.3390/s16111870 --- Liu, C.; Liu, J.; Song, Y.; Liang, H. A Novel System for Correction of Relative Angular Displacement between Airborne Platform and UAV in Target Localization. Sensors 2017, 17(3), 510; https://doi.org/10.3390/s17030510 --- Ma, Y.; Wu, X.; Yu, G.; Xu, Y.; Wang, Y. Pedestrian Detection and Tracking from Low-Resolution Unmanned Aerial Vehicle Thermal Imagery. Sensors 2016, 16(4), 446; https://doi.org/10.3390/s16040446 --- Macharet, D.; Perez-Imaz, H.; Rezeck, P.; Potje, G.; Benyosef, L.; Wiermann, A.; Freitas, G.; Garcia, L.; Campos, M. Autonomous Aeromagnetic Surveys Using a Fluxgate Magnetometer. Sensors 2016, 16(12), 2169; https://doi.org/10.3390/s16122169
    Pages: Online-Ressource (VII, 385 Seiten) , Illustrationen, Diagramme, Karten
    Edition: Printed Edition of the Special Issue Published in Sensors
    ISBN: 9783038427780
    URL: http://www.mdpi.com/books/pdfview/book/604
    Language: English
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  • 12
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    UAV or Drones for Remote Sensing Applications : Volume 1 (2018)
    Basel, Beijing, Wuhan, Barcelona, Belgrade : MDPI
    Details
    Keywords: Precision agriculture ; construction, mining, pest detection, forestry, mammal species tracking search and rescue ; target tracking, the monitoring of the atmosphere ; chemical, biological, and natural disaster phenomena ; fire prevention, flood prevention ; reef, volcanic monitoring, Earth science research pollution monitoring, micro-climates , land use precision agriculture, ecology, atmospheric research, bio-security, forestry, fire monitoring, quick response measurements for emergency disaster, pollution monitoring, volcanic gas sampling, monitoring of gas pipelines, biological/chemosensing tasks, and humanitarian observations
    Description / Table of Contents: Aleotti, J.; Micconi, G.; Caselli, S.; Benassi, G.; Zambelli, N.; Bettelli, M.; Zappettini, A. Detection of Nuclear Sources by UAV Teleoperation Using a Visuo-Haptic Augmented Reality Interface. Sensors 2017, 17(10), 2234; https://doi.org/10.3390/s17102234 --- Audi, A.; Pierrot-Deseilligny, M.; Meynard, C.; Thom, C. Implementation of an IMU Aided Image Stacking Algorithm in a Digital Camera for Unmanned Aerial Vehicles. Sensors 2017, 17(7), 1646; https://doi.org/10.3390/s17071646 --- Bae, M.; Yoo, S.; Jung, J.; Park, S.; Kim, K.; Lee, J.; Kim, H. Devising Mobile Sensing and Actuation Infrastructure with Drones. Sensors 2018, 18(2), 624; https://doi.org/10.3390/s18020624 --- Brede, B.; Lau, A.; Bartholomeus, H.; Kooistra, L. Comparing RIEGL RiCOPTER UAV LiDAR Derived Canopy Height and DBH with Terrestrial LiDAR. Sensors 2017, 17(10), 2371; https://doi.org/10.3390/s17102371 --- Christiansen, M.; Laursen, M.; Jørgensen, R.; Skovsen, S.; Gislum, R. Designing and Testing a UAV Mapping System for Agricultural Field Surveying. Sensors 2017, 17(12), 2703; https://doi.org/10.3390/s17122703 --- Ćwiąkała, P.; Kocierz, R.; Puniach, E.; Nędzka, M.; Mamczarz, K.; Niewiem, W.; Wiącek, P. Assessment of the Possibility of Using Unmanned Aerial Vehicles (UAVs) for the Documentation of Hiking Trails in Alpine Areas. Sensors 2018, 18(1), 81; https://doi.org/10.3390/s18010081 --- Dong, Q.; Liu, J. Seamline Determination Based on PKGC Segmentation for Remote Sensing Image Mosaicking. Sensors 2017, 17(8), 1721; https://doi.org/10.3390/s17081721 --- Fernández-Guisuraga, J.; Sanz-Ablanedo, E.; Suárez-Seoane, S.; Calvo, L. Using Unmanned Aerial Vehicles in Postfire Vegetation Survey Campaigns through Large and Heterogeneous Areas: Opportunities and Challenges. Sensors 2018, 18(2), 586; https://doi.org/10.3390/s18020586 --- Hassan-Esfahani, L.; Ebtehaj, A.; Torres-Rua, A.; McKee, M. Spatial Scale Gap Filling Using an Unmanned Aerial System: A Statistical Downscaling Method for Applications in Precision Agriculture. Sensors 2017, 17(9), 2106; https://doi.org/10.3390/s17092106 --- Hinas, A.; Roberts, J.; Gonzalez, F. Vision-Based Target Finding and Inspection of a Ground Target Using a Multirotor UAV System. Sensors 2017, 17(12), 2929; https://doi.org/10.3390/s17122929 --- Hoshiba, K.; Washizaki, K.; Wakabayashi, M.; Ishiki, T.; Kumon, M.; Bando, Y.; Gabriel, D.; Nakadai, K.; Okuno, H. Design of UAV-Embedded Microphone Array System for Sound Source Localization in Outdoor Environments. Sensors 2017, 17(11), 2535; https://doi.org/10.3390/s17112535 --- Kikutis, R.; Stankūnas, J.; Rudinskas, D.; Masiulionis, T. Adaptation of Dubins Paths for UAV Ground Obstacle Avoidance When Using a Low Cost On-Board GNSS Sensor. Sensors 2017, 17(10), 2223; https://doi.org/10.3390/s17102223 --- Klosterman, S.; Richardson, A. Observing Spring and Fall Phenology in a Deciduous Forest with Aerial Drone Imagery. Sensors 2017, 17(12), 2852; https://doi.org/10.3390/s17122852 --- Kong, W.; Hu, T.; Zhang, D.; Shen, L.; Zhang, J. Localization Framework for Real-Time UAV Autonomous Landing: An On-Ground Deployed Visual Approach. Sensors 2017, 17(6), 1437; https://doi.org/10.3390/s17061437 --- Li, M.; Chen, R.; Zhang, W.; Li, D.; Liao, X.; Wang, L.; Pan, Y.; Zhang, P. A Stereo Dual-Channel Dynamic Programming Algorithm for UAV Image Stitching. Sensors 2017, 17(9), 2060; https://doi.org/10.3390/s17092060 --- Mesas-Carrascosa, F.; Verdú Santano, D.; Pérez Porras, F.; Meroño-Larriva, J.; García-Ferrer, A. The Development of an Open Hardware and Software System Onboard Unmanned Aerial Vehicles to Monitor Concentrated Solar Power Plants. Sensors 2017, 17(6), 1329; https://doi.org/10.3390/s17061329 --- Ortega-Terol, D.; Hernandez-Lopez, D.; Ballesteros, R.; Gonzalez-Aguilera, D. Automatic Hotspot and Sun Glint Detection in UAV Multispectral Images. Sensors 2017, 17(10), 2352; https://doi.org/10.3390/s17102352 --- Parsons, M.; Bratanov, D.; Gaston, K.; Gonzalez, F. UAVs, Hyperspectral Remote Sensing, and Machine Learning Revolutionizing Reef Monitoring. Sensors 2018, 18(7), 2026; https://doi.org/10.3390/s18072026 --- Peterson, J.; Chaudhry, H.; Abdelatty, K.; Bird, J.; Kochersberger, K. Online Aerial Terrain Mapping for Ground Robot Navigation. Sensors 2018, 18(2), 630; https://doi.org/10.3390/s18020630 --- Poblete, T.; Ortega-Farías, S.; Moreno, M.; Bardeen, M. Artificial Neural Network to Predict Vine Water Status Spatial Variability Using Multispectral Information Obtained from an Unmanned Aerial Vehicle (UAV). Sensors 2017, 17(11), 2488; https://doi.org/10.3390/s17112488
    Pages: Online-Ressource (X, 368 Seiten) , Illustrationen, Diagramme, Karten
    Edition: Printed Edition of the Special Issue Published in Sensors
    ISBN: 9783038970927
    URL: https://www.mdpi.com/books/pdfview/book/867
    Language: English
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  • 13
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    UAV or Drones for Remote Sensing Applications : Volume 2 (2018)
    Basel, Beijing, Wuhan, Barcelona, Belgrade : MDPI
    Details
    Keywords: Precision agriculture ; construction, mining, pest detection, forestry, mammal species tracking search and rescue ; target tracking, the monitoring of the atmosphere ; chemical, biological, and natural disaster phenomena ; fire prevention, flood prevention ; reef, volcanic monitoring, Earth science research pollution monitoring, micro-climates , land use precision agriculture, ecology, atmospheric research, bio-security, forestry, fire monitoring, quick response measurements for emergency disaster, pollution monitoring, volcanic gas sampling, monitoring of gas pipelines, biological/chemosensing tasks, and humanitarian observations
    Description / Table of Contents: Poblete, T.; Ortega-Farías, S.; Ryu, D. Automatic Coregistration Algorithm to Remove Canopy Shaded Pixels in UAV-Borne Thermal Images to Improve the Estimation of Crop Water Stress Index of a Drip-Irrigated Cabernet Sauvignon Vineyard. Sensors 2018, 18(2), 397; https://doi.org/10.3390/s18020397 --- Qu, Y.; Huang, J.; Zhang, X. Rapid 3D Reconstruction for Image Sequence Acquired from UAV Camera. Sensors 2018, 18(1), 225; https://doi.org/10.3390/s18010225 --- Ribeiro-Gomes, K.; Hernández-López, D.; Ortega, J.; Ballesteros, R.; Poblete, T.; Moreno, M. Uncooled Thermal Camera Calibration and Optimization of the Photogrammetry Process for UAV Applications in Agriculture. Sensors 2017, 17(10), 2173; https://doi.org/10.3390/s17102173 --- Ridolfi, E.; Buffi, G.; Venturi, S.; Manciola, P. Accuracy Analysis of a Dam Model from Drone Surveys. Sensors 2017, 17(8), 1777; https://doi.org/10.3390/s17081777 --- Rivas Casado, M.; González, R.; Ortega, J.; Leinster, P.; Wright, R. Towards a Transferable UAV-Based Framework for River Hydromorphological Characterization. Sensors 2017, 17(10), 2210; https://doi.org/10.3390/s17102210 --- Sandino, J.; Wooler, A.; Gonzalez, F. Towards the Automatic Detection of Pre-Existing Termite Mounds through UAS and Hyperspectral Imagery. Sensors 2017, 17(10), 2196; https://doi.org/10.3390/s17102196 --- Sandino, J.; Gonzalez, F.; Mengersen, K.; Gaston, K. UAVs and Machine Learning Revolutionising Invasive Grass and Vegetation Surveys in Remote Arid Lands. Sensors 2018, 18(2), 605; https://doi.org/10.3390/s18020605 --- Sandino, J.; Pegg, G.; Gonzalez, F.; Smith, G. Aerial Mapping of Forests Affected by Pathogens Using UAVs, Hyperspectral Sensors, and Artificial Intelligence. Sensors 2018, 18(4), 944; https://doi.org/10.3390/s18040944 --- Seo, S.; Choi, J.; Song, J. Secure Utilization of Beacons and UAVs in Emergency Response Systems for Building Fire Hazard. Sensors 2017, 17(10), 2200; https://doi.org/10.3390/s17102200 --- Shen, J.; Su, Y.; Liang, Q.; Zhu, X. Calculation and Identification of the Aerodynamic Parameters for Small-Scaled Fixed-Wing UAVs. Sensors 2018, 18(1), 206; https://doi.org/10.3390/s18010206 --- Sola-Guirado, R.; Castillo-Ruiz, F.; Jiménez-Jiménez, F.; Blanco-Roldan, G.; Castro-Garcia, S.; Gil-Ribes, J. Olive Actual “on Year” Yield Forecast Tool Based on the Tree Canopy Geometry Using UAS Imagery. Sensors 2017, 17(8), 1743; https://doi.org/10.3390/s17081743 --- Torres-Rua, A. Vicarious Calibration of sUAS Microbolometer Temperature Imagery for Estimation of Radiometric Land Surface Temperature. Sensors 2017, 17(7), 1499; https://doi.org/10.3390/s17071499 --- Uddin, M.; Mansour, A.; Jeune, D.; Ayaz, M.; Aggoune, e. UAV-Assisted Dynamic Clustering of Wireless Sensor Networks for Crop Health Monitoring. Sensors 2018, 18(2), 555; https://doi.org/10.3390/s18020555 --- Vanegas, F.; Bratanov, D.; Powell, K.; Weiss, J.; Gonzalez, F. A Novel Methodology for Improving Plant Pest Surveillance in Vineyards and Crops Using UAV-Based Hyperspectral and Spatial Data. Sensors 2018, 18(1), 260; https://doi.org/10.3390/s18010260 --- Wang, X.; Jiang, P.; Li, D.; Sun, T. Curvature Continuous and Bounded Path Planning for Fixed-Wing UAVs. Sensors 2017, 17(9), 2155; https://doi.org/10.3390/s17092155 --- Zhao, Y.; Ma, J.; Li, X.; Zhang, J. Saliency Detection and Deep Learning-Based Wildfire Identification in UAV Imagery. Sensors 2018, 18(3), 712; https://doi.org/10.3390/s18030712 --- Zheng, H.; Bai, T.; Wang, Q.; Cao, F.; Shao, L.; Sun, Z. Experimental Study of Multispectral Characteristics of an Unmanned Aerial Vehicle at Different Observation Angles. Sensors 2018, 18(2), 428; https://doi.org/10.3390/s18020428 --- Zhong, J.; Lei, T.; Yao, G. Robust Vehicle Detection in Aerial Images Based on Cascaded Convolutional Neural Networks. Sensors 2017, 17(12), 2720; https://doi.org/10.3390/s17122720
    Pages: Online-Ressource (X, 332 Seiten) , Illustrationen, Diagramme, Karten
    Edition: Printed Edition of the Special Issue Published in Sensors
    ISBN: 9783038971122
    URL: https://www.mdpi.com/books/pdfview/book/868
    Language: English
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  • 14
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    Geomicrobiology and Biogeochemistry of Precious Metals (2018)
    Basel, Beijing, Wuhan, Barcelona, Belgrade : MDPI
    Details
    Keywords: Geomicrobiology ; Biogeochemistry ; Precious metals ; Gold, silver, platinum-group-elements ; Prokaryotes ; Fungi ; Plants ; Biomineralisation ; Metal-resistance ; Exploration ; Metallurgy ; Bioremediation
    Description / Table of Contents: Kerr, G.; Craw, D. Mineralogy and Geochemistry of Biologically-Mediated Gold Mobilisation and Redeposition in a Semiarid Climate, Southern New Zealand. Minerals 2017, 7(8), 147; https://doi.org/10.3390/min7080147 --- Shuster, J.; Reith, F.; Izawa, M.; Flemming, R.; Banerjee, N.; Southam, G. Biogeochemical Cycling of Silver in Acidic, Weathering Environments. Minerals 2017, 7(11), 218; https://doi.org/10.3390/min7110218 --- Campbell, G.; MacLean, L.; Reith, F.; Brewe, D.; Gordon, R.; Southam, G. Immobilisation of Platinum by Cupriavidus metallidurans. Minerals 2018, 8(1), 10; https://doi.org/10.3390/min8010010 --- Melchiorre, E.; Orwin, P.; Reith, F.; Rea, M.; Yahn, J.; Allison, R. Biological and Geochemical Development of Placer Gold Deposits at Rich Hill, Arizona, USA. Minerals 2018, 8(2), 56; https://doi.org/10.3390/min8020056 --- Rizki, I.; Okibe, N. Size-Controlled Production of Gold Bionanoparticles Using the Extremely Acidophilic Fe(III)-Reducing Bacterium, Acidocella aromatica. Minerals 2018, 8(3), 81; https://doi.org/10.3390/min8030081 --- González, A.; Pokrovsky, O.; Ivanova, I.; Oleinikova, O.; Feurtet-Mazel, A.; Mornet, S.; Baudrimont, M. Interaction of Freshwater Diatom with Gold Nanoparticles: Adsorption, Assimilation, and Stabilization by Cell Exometabolites. Minerals 2018, 8(3), 99; https://doi.org/10.3390/min8030099 --- Bowles, J.; Bowles, J.; Giże, A. C14–22 n-Alkanes in Soil from the Freetown Layered Intrusion, Sierra Leone: Products of Pt Catalytic Breakdown of Natural Longer Chain n-Alkanes?. Minerals 2018, 8(3), 105; https://doi.org/10.3390/min8030105 --- Losa, G.; Bindschedler, S. Enhanced Tolerance to Cadmium in Bacterial-Fungal Co-Cultures as a Strategy for Metal Biorecovery from e-Waste. Minerals 2018, 8(4), 121; https://doi.org/10.3390/min8040121 --- La Vars, S.; Newton, K.; Quinton, J.; Cheng, P.; Wei, D.; Chan, Y.; Harmer, S. Surface Chemical Characterisation of Pyrite Exposed to Acidithiobacillus ferrooxidans and Associated Extracellular Polymeric Substances. Minerals 2018, 8(4), 132; https://doi.org/10.3390/min8040132 --- Shuster, J.; Reith, F. Reflecting on Gold Geomicrobiology Research: Thoughts and Considerations for Future Endeavors. Minerals 2018, 8(9), 401; https://doi.org/10.3390/min8090401 --- Reith, F.; Shuster, J. Editorial for Special Issue “Geomicrobiology and Biogeochemistry of Precious Metals”. Minerals 2018, 8(10), 459; https://doi.org/10.3390/min8100459
    Pages: Online-Ressource (IX, 169 Seiten) , Illustrationen, Diagramme, Karten
    Edition: Printed Edition of the Special Issue Published in Minerals
    ISBN: 9783038973478
    URL: https://www.mdpi.com/books/pdfview/book/864
    Language: English
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  • 15
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    Handbook of Geomathematics (2010)
    Berlin [u.a.] : Springer
    Details
    Keywords: constructive approximation ; differential equations ; geomathematics ; inverse problems ; mathematical modelling ; number theory ; numerical methods ; potential theory
    Description / Table of Contents: During the last three decades geosciences and geo-engineering were influenced by two essential scenarios: First, the technological progress has changed completely the observational and measurement techniques. Modern high speed computers and satellite based techniques are entering more and more all geodisciplines. Second, there is a growing public concern about the future of our planet, its climate, its environment, and about an expected shortage of natural resources. Mathematics concerned with geoscientific problems, i.e., Geomathematics, is becoming increasingly important. The "Handbook of Geomathematics" as a central reference work in this area comprises the following scientific fields: (I) observational and measurement key technologies; (II) modelling of the system Earth (geosphere, cryosphere, hydrosphere, atmosphere, biosphere); (III) analytic, algebraic, and operator-theoretic methods; (IV) statistical and stochastic methods; (V) computational and numerical analysis methods; (VI) historical background and future perspectives.
    Pages: Online-Ressource (XIX, 1350 Seiten)
    ISBN: 9783642015465
    URL: http://link.springer.com/referencework/10.1007/978-3-642-01546-5
    Language: English
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