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  • Books  (38)
  • Basel, Beijing, Wuhan : MDPI  (24)
  • Basel, Beijing, Wuhan, Barcelona, Belgrade : MDPI  (14)
  • Geosciences  (35)
  • Physics  (4)
  • Medicine  (2)
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  • Books  (38)
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  • 1
    Unknown
    Basel, Beijing, Wuhan : MDPI
    Keywords: aerosol ; gases ; cloud processing ; aqueous chemistry ; volatile organic compounds ; biogenic ; anthropogenic ; remote sensing ; in-situ measurements
    Description / Table of Contents: Falcinelli, S.; Pirani, F.; Vecchiocattivi, F. The Possible Role of Penning Ionization Processes in Planetary Atmospheres. Atmosphere 2015, 6(3), 299-317; doi:10.3390/atmos6030299 --- Park, S.; Seo, B.; Lee, G.; Kahng, S.; Jang, Y. Chemical Composition of Water Soluble Inorganic Species in Precipitation at Shihwa Basin, Korea. Atmosphere 2015, 6(6), 732-750; doi:10.3390/atmos6060732 --- Kassianov, E.; Berg, L.; Pekour, M.; Barnard, J.; Chand, D.; Flynn, C.; Ovchinnikov, M.; Sedlacek, A.; Schmid, B.; Shilling, J.; Tomlinson, J.; Fast, J. Airborne Aerosol in Situ Measurements during TCAP: A Closure Study of Total Scattering. Atmosphere 2015, 6(8), 1069-1101; doi:10.3390/atmos6081069 --- Majewski, G.; Rogula-Kozłowska, W.; Czechowski, P.; Badyda, A.; Brandyk, A. The Impact of Selected Parameters on Visibility: First Results from a Long-Term Campaign in Warsaw, Poland. Atmosphere 2015, 6(8), 1154-1174; doi:10.3390/atmos6081154 --- Khwaja, H.; Aburizaiza, O.; Hershey, D.; Siddique, A.; E., D.; Zeb, J.; Abbass, M.; Blake, D.; Hussain, M.; Aburiziza, A.; Kramer, M.; Simpson, I. Study of Black Sand Particles from Sand Dunes in Badr, Saudi Arabia Using Electron Microscopy. Atmosphere 2015, 6(8), 1175-1194; doi:10.3390/atmos6081175 --- Wu, Z.; Liu, F.; Fan, W. Characteristics of PM10 and PM2.5 at Mount Wutai Buddhism Scenic Spot, Shanxi, China. Atmosphere 2015, 6(8), 1195-1210; doi:10.3390/atmos6081195 --- Saldarriaga-Noreña, H.; López-Márquez, R.; Murillo-Tovar, M.; Hernández-Mena, L.; Ospina-Noreña, E.; Sánchez-Salinas, E.; Waliszewski, S.; Montiel-Palma, S. Analysis of PAHs Associated with Particulate Matter PM2.5 in Two Places at the City of Cuernavaca, Morelos, México. Atmosphere 2015, 6(9), 1259-1270; doi:10.3390/atmos6091259 --- Faxon, C.; Bean, J.; Ruiz, L. Inland Concentrations of Cl2 and ClNO2 in Southeast Texas Suggest Chlorine Chemistry Significantly Contributes to Atmospheric Reactivity. Atmosphere 2015, 6(10), 1487-1506; doi:10.3390/atmos6101487 --- Asa-Awuku, A.; Sorooshian, A.; Flagan, R.; Seinfeld, J.; Nenes, A. CCN Properties of Organic Aerosol Collected Below and within Marine Stratocumulus Clouds near Monterey, California. Atmosphere 2015, 6(11), 1590-1607; doi:10.3390/atmos6111590 --- Yang, M.; Wang, Y.; Liu, Q.; Ding, A.; Li, Y. The Influence of Sandstorms and Long-Range Transport on Polycyclic Aromatic Hydrocarbons (PAHs) in PM2.5 in the High-Altitude Atmosphere of Southern China. Atmosphere 2015, 6(11), 1633-1651; doi:10.3390/atmos6111633 --- Rubio, M.; Lissi, E.; Gramsch, E.; Garreaud, R. Effect of Nearby Forest Fires on Ground Level Ozone Concentrations in Santiago, Chile. Atmosphere 2015, 6(12), 1926-1938; doi:10.3390/atmos6121838 --- Lopez, D.; Rabbani, M.; Crosbie, E.; Raman, A.; Arellano, A.; Sorooshian, A. Frequency and Character of Extreme Aerosol Events in the Southwestern United States: A Case Study Analysis in Arizona. Atmosphere 2016, 7(1), 1; doi:10.3390/atmos7010001 --- Stovern, M.; Guzmán, H.; Rine, K.; Felix, O.; King, M.; Ela, W.; Betterton, E.; Sáez, A. Windblown Dust Deposition Forecasting and Spread of Contamination around Mine Tailings. Atmosphere 2016, 7(2), 16; doi:10.3390/atmos7020016 --- Raman, A.; Arellano, A.; Sorooshian, A. Decreasing Aerosol Loading in the North American Monsoon Region. Atmosphere 2016, 7(2), 24; doi:10.3390/atmos7020024 --- Hetem, I.; Andrade, M. Characterization of Fine Particulate Matter Emitted from the Resuspension of Road and Pavement Dust in the Metropolitan Area of São Paulo, Brazil. Atmosphere 2016, 7(3), 31; doi:10.3390/atmos7030031
    Pages: Online-Ressource (XIV, 322 Seiten)
    Edition: Printed Edition of the Special Issue Published in Atmosphere
    ISBN: 9783038422853
    Language: English
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  • 2
    Unknown
    Basel, Beijing, Wuhan : MDPI
    Keywords: elemental mercury ; gaseous oxidized mercury ; particulate mercury ; chemical transformations of atmospheric mercury ; cycling of atmospheric mercury ; regional and global modeling of atmospheric mercury ; emission inventories for atmospheric mercury
    Description / Table of Contents: Mercury is a serious environmental toxin that is distributed globally by large-scale atmospheric circulations. Atmospheric chemists have only been studying mercury in earnest for approximately the past 10 years. In the troposphere elemental mercury (Hgo) is observed ubiquitously with contemporary mixing ratios at the parts per quadrillion by volume (ppqv; 1 ng m−3 = 112 ppqv) level. The distributions of gaseous oxidized mercury (GOM) and particulate mercury (HgP) are not well documented at this time. In fact, the chemical composition of GOM is presently highly uncertain. At most mid-latitude locations, Hgo exhibits seasonality with the lowest mixing ratios in the fall and the greatest in late winter/early spring. It is highly desirable to conduct measurements of a variety of trace gases along with atmospheric mercury to facilitate source identification, but few studies have done so to date. A serious drawback in modeling atmospheric mercury is a lack of reliable rigorous emission inventories. Consequently, much work is needed to identify mercury sources and to quantify emission strengths. There are few published papers on measurements of atmospheric mercury from aircraft. Initial work has shown that there is little to no Hgo above the tropopause and that HgP is elevated there. The chemical cycling and transformations in the tropopause region are essentially unstudied. Both measurements and modeling are required to ascertain the important processes affecting atmospheric mercury in the tropopause region.
    Pages: Online-Ressource (XVI, 290 Seiten)
    Edition: Printed Edition of the Special Issue Published in Atmosphere
    ISBN: 9783038422914
    Language: English
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  • 3
    Unknown
    Basel, Beijing, Wuhan : MDPI
    Keywords: Data Mining ; Machine Learning ; Artificial Neural Networks ; Spatial Database ; Geoinformatics ; Geographic Information System (GIS) ; Remote Sensing ; Global Positioning System (GPS) ; Spatial Analysis
    Description / Table of Contents: Over the last few decades, artificial neural networks, such as in data mining and machine learning technology, are being successfully applied across a wide range of science and engineering areas. In addition, according to the development of computer and space technologies, geoinformatics, as science and technology dealing with spatial information, are growing rapidly. Thus, recently, artificial neural networks have been widely applied in geoinformatics and have produced valuable results in geoscience, environment, natural hazards, and natural resources areas. This Special Issue of the journal Applied Sciences, “Application of Artificial Neural Networks in Geoinformatics”, aims to attract novel contributions covering a wide range of applications in artificial neural networks in geoinformatics.
    Pages: Online-Ressource (VI, 222 Seiten) , Illustrationen, Diagramme, Karten
    Edition: Printed Edition of the Special Issue Published in Applied Sciences
    ISBN: 9783038427414
    Language: English
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  • 4
    Unknown
    Basel, Beijing, Wuhan : MDPI
    Keywords: Geohazards ; Natural Hazards ; Geological Processes ; Emergency Response ; Damage Assessment ; Slope Instability ; Volcanoes ; Earthquakes ; Floods and Tsunamis ; Land Subsidence and Heave ; Earth Observation ; Radar, InSAR ; Multispectral ; Object-Based Classification ; Digital Fieldwork
    Description / Table of Contents: The goal of this Special Issue of Geosciences is to gather high-quality original research articles and reviews on the use of Earth Observation (EO) data and technologies to image and monitor geohazards from space. Geohazards, such as landslides, volcanoes, earthquakes, tsunamis, ground subsidence and heave, pose significant risks to human life and property. Even when not with catastrophic consequences, or when characterised by relatively slow onset and evolution, these processes may be damaging over long time periods. Human interaction with the environment may also combine with natural processes, and thus trigger, induce acceleration or exacerbate the impacts of geohazards on built environment. With a wide spectrum of imaging capabilities—from optical to radar sensors, low to very high resolution, continental to local scale, single-image to multi-temporal approaches, yearly to sub-daily acquisition repeat cycles—nowadays, EO offers several opportunities for the geoscience community to map and monitor geohazards from space. Topics of interest of this Special Issue include, but are not limited to: development, validation and implementation of satellite EO data processing methods and applications for geohazards mapping and monitoring; radar interferometry (InSAR), object-based image analysis (OBIA), multi-spectral data analysis, feature extraction, time series analysis, photo-interpretation, and digital fieldwork.
    Pages: Online-Ressource (VIII, 244 Seiten) , Illustrationen, Diagramme, Karten
    Edition: Printed Edition of the Special Issue Published in Geosciences
    ISBN: 9783038427766
    Language: English
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  • 5
    Unknown
    Basel, Beijing, Wuhan : MDPI
    Keywords: earth observation ; remote sensing ; regional/global water cycle ; land hydrology ; surface water storage ; terrestrial water storage ; remotely sensed observations (SAR, multi-spectral/hyperspectral images, passive microwave, satellite altimetry, gravimetry from space) ; surface water (level, extent, discharge) ; groundwater ; rainfall and evapotranspiration
    Description / Table of Contents: Taravat, A.; Rajaei, M.; Emadodin, I.; Hasheminejad, H.; Mousavian, R.; Biniyaz, E. A Spaceborne Multisensory, Multitemporal Approach to Monitor Water Level and Storage Variations of Lakes. Water 2016, 8(11), 478; https://doi.org/10.3390/w8110478 --- Paillou, P. Mapping Palaeohydrography in Deserts: Contribution from Space-Borne Imaging Radar. Water 2017, 9(3), 194; https://doi.org/10.3390/w9030194 --- Jiang, L.; Schneider, R.; Andersen, O.; Bauer-Gottwein, P. CryoSat-2 Altimetry Applications over Rivers and Lakes. Water 2017, 9(3), 211; https://doi.org/10.3390/w9030211 --- Polishchuk, Y.; Bogdanov, A.; Polishchuk, V.; Manasypov, R.; Shirokova, L.; Kirpotin, S.; Pokrovsky, O. Size Distribution, Surface Coverage, Water, Carbon, and Metal Storage of Thermokarst Lakes in the Permafrost Zone of the Western Siberia Lowland. Water 2017, 9(3), 228; https://doi.org/10.3390/w9030228 --- Salameh, E.; Frappart, F.; Papa, F.; Güntner, A.; Venugopal, V.; Getirana, A.; Prigent, C.; Aires, F.; Labat, D.; Laignel, B. Fifteen Years (1993–2007) of Surface Freshwater Storage Variability in the Ganges-Brahmaputra River Basin Using Multi-Satellite Observations. Water 2017, 9(4), 245; https://doi.org/10.3390/w9040245 --- Springer, A.; Eicker, A.; Bettge, A.; Kusche, J.; Hense, A. Evaluation of the Water Cycle in the European COSMO-REA6 Reanalysis Using GRACE. Water 2017, 9(4), 289; https://doi.org/10.3390/w9040289 --- Parrens, M.; Al Bitar, A.; Frappart, F.; Papa, F.; Calmant, S.; Crétaux, J.; Wigneron, J.; Kerr, Y. Mapping Dynamic Water Fraction under the Tropical Rain Forests of the Amazonian Basin from SMOS Brightness Temperatures. Water 2017, 9(5), 350; https://doi.org/10.3390/w9050350 --- Pham-Duc, B.; Prigent, C.; Aires, F. Surface Water Monitoring within Cambodia and the Vietnamese Mekong Delta over a Year, with Sentinel-1 SAR Observations. Water 2017, 9(6), 366; https://doi.org/10.3390/w9060366 --- Nielsen, K.; Stenseng, L.; Andersen, O.; Knudsen, P. The Performance and Potentials of the CryoSat-2 SAR and SARIn Modes for Lake Level Estimation. Water 2017, 9(6), 374; https://doi.org/10.3390/w9060374 --- Nguyen, D.; Wagner, W. European Rice Cropland Mapping with Sentinel-1 Data: The Mediterranean Region Case Study. Water 2017, 9(6), 392; https://doi.org/10.3390/w9060392 --- Ferrara, C.; Lega, M.; Fusco, G.; Bishop, P.; Endreny, T. Characterization of Terrestrial Discharges into Coastal Waters with Thermal Imagery from a Hierarchical Monitoring Program. Water 2017, 9(7), 500; https://doi.org/10.3390/w9070500 --- Shen, H.; Leblanc, M.; Frappart, F.; Seoane, L.; O’Grady, D.; Olioso, A.; Tweed, S. A Comparative Study of GRACE with Continental Evapotranspiration Estimates in Australian Semi-Arid and Arid Basins: Sensitivity to Climate Variability and Extremes. Water 2017, 9(9), 614; https://doi.org/10.3390/w9090614 --- Erazo, B.; Bourrel, L.; Frappart, F.; Chimborazo, O.; Labat, D.; Dominguez-Granda, L.; Matamoros, D.; Mejia, R. Validation of Satellite Estimates (Tropical Rainfall Measuring Mission, TRMM) for Rainfall Variability over the Pacific Slope and Coast of Ecuador. Water 2018, 10(2), 213; https://doi.org/10.3390/w10020213
    Pages: Online-Ressource (X, 248 Seiten) , Illustrationen, Diagramme, Karten
    Edition: Printed Edition of the Special Issue Published in Water
    ISBN: 9783038429104
    Language: English
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  • 6
    Unknown
    Basel, Beijing, Wuhan : MDPI
    Keywords: Air Quality and atmospheric composition modeling ; Atmospheric chemical observation and monitoring ; Air quality forecasting ; Air pollutant related epidemiology and exposure studies ; Climate impact on air quality forecasting
    Description / Table of Contents: Forecasting is a vital tool for local health and air quality managers to make informed short-term decisions on remedial and mitigation measures to reduce exposure risks for their residents. Forecasting tools enable them to issue air quality advisories to curb pollution by limiting vehicular traffic by encouraging car-pooling and offering free public transportation. Air quality monitoring from the perspective of air managers serves a dual purpose of evaluating the skill of their forecasting tools and deriving long-term trends of major air pollutants that impact their constituents. Epidemiologists also use long term monitored data to understand air pollution related diseases and mortality rates to support public health policy decisions. This Special Issue reinforces the importance of these tools by leveraging their collective strengths. Public health is under a constant threat by air pollution across the world in various degrees and manifestations. In some countries with rapid economic growth the abrupt increased occurrences of poor air quality over cities and their downwind regions are attracting worldwide attention. The adverse health effects suffered by the public are reflected in billions of dollars in lost productivity, hospital admissions due to contraction and exacerbation of respiratory, asthmatic and cardiovascular diseases, and increases in mortality rates. This is especially true in rapidly developing countries. On the other hand, many cities in developed countries are seeing changes in their atmospheric chemical regimes from nitrogen oxide (NOx) saturated regimes towards NOx limiting regimes. Furthermore, ozone and ozone precursors transported from areas upwind become important source of “background ozone” as local generation of ozone plays a lesser role due to reduced NOx emissions in the developed countries. It is now clear that air pollution is a global problem and that air quality monitoring, forecasting and mitigation should be a local effort conducted in concert with global partners.
    Pages: Online-Ressource (VI, 204 Seiten) , Illustrationen, Diagramme
    Edition: Printed Edition of the Special Issue Published in Atmosphere
    ISBN: 9783038428404
    Language: English
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  • 7
    Unknown
    Basel, Beijing, Wuhan, Barcelona, Belgrade : MDPI
    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
    Language: English
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  • 8
    Unknown
    Basel, Beijing, Wuhan, Barcelona, Belgrade : MDPI
    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
    Language: English
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  • 9
    Unknown
    Basel, Beijing, Wuhan, Barcelona, Belgrade : MDPI
    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
    Language: English
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  • 10
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    Basel, Beijing, Wuhan, Barcelona, Belgrade : MDPI
    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
    Language: English
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