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  • Books  (17)
  • remote sensing  (9)
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  • Books  (17)
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  • English  (17)
  • Greek, Modern (1453- )
  • Italian
  • Portuguese
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  • 2015-2019  (8)
  • 2010-2014  (9)
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  • 1
    Keywords: oceanography ; atmospheric sciences ; environmental engineering ; geodesy ; remote sensing
    Pages: Online-Ressource (170 Seiten)
    ISBN: 9789537619602
    Language: English
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  • 2
    Keywords: remote sensing
    Description / Table of Contents: Remote sensing has been used for water management purposes over the years. This book describes the combination of satellite imagery, in-situ spectroradiometric data and radar techniques for the identification of water leakages in the water supply network in both rural and urban areas in Cyprus. This book presents a holistic approach combining new technologies for a complete system of water distribution network leakage detection management, by combining Global Navigation Satellite Systems (GNSS), Geographical Information Systems (GIS), Satellite Remote Sensing techniques as well Geophysical surveys such as ground penetrating radar (GPR), Unmanned Aerial Vehicles (UAV) and spectro-radiometric measurements, which can be used to effectively identify and monitor water leakages.
    Pages: Online-Ressource (82 Seiten)
    ISBN: 9789535117292
    Language: English
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  • 3
    Keywords: remote sensing ; Suomi NPP ; calibration and validation ; validation of environmental data products ; radiance, reflectance and brightness temperature validation ; onboard calibration with solar diffuser and blackbody ; calibration algorithms and methodologies ; radiative transfer models ; SI traceability ; field campaigns and aircraft underflight
    Description / Table of Contents: The success of the Suomi National Polar-orbiting Partnership (NPP) brings us into a new era of global daily Earth observations, ranging from the faintest light of human settlements and air glows to the dramatic events of hurricanes and forest fires, as well as the subtle changes in the planet Earth which we call home. At the heart of all satellite applications, calibration/validation of the measurements and derived products is the key. Satellite product calibration and validation have become increasingly more important and challenging in order to meet the stringent requirements for accurate quantitative data for climate change detection, numerical weather prediction, and environmental intelligence. Validation is required not only for the satellite measurements, but also for all geophysical retrievals, including aerosols, cloud properties, radiation budget, sea surface temperature, ocean color, active fire, albedo, snow and ice, vegetation, as well as nightlights from human settlements. Active validation research includes but not limited to, comparisons with similar products from other satellites, with in situ, aircraft measurements, or observations from other platforms. Validation results not only help users and decision makers but also serve as feedback to calibration, which in turn improves the products. This Special Issue of Remote Sensing aims at exploring recent results in the calibration and validation of the Suomi National Polar-orbiting Partnership satellite (Suomi NPP)/JPSS radiometers.
    Pages: Online-Ressource (X, 548 Seiten)
    Edition: Printed Edition of the Special Issue Published in Remote Sensing
    ISBN: 9783038423195
    Language: English
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  • 4
    Keywords: Earth sciences ; Natural disasters ; Engineering geology ; Engineering ; Geology ; Foundations ; Hydraulics ; Sustainable development ; Earth Sciences ; Natural Hazards ; Geoengineering, Foundations, Hydraulics ; Sustainable Development
    Description / Table of Contents: ISDR-ICL Sendai Partnerships 2015-2025 --- The ISDR-ICL Sendai Partnerships 2015-2025: Background and Content --- Forum lectures --- Rupestrian world heritage sites: Instability investigation and sustainable mitigation --- Subaerial landslide-generated waves: Numerical and laboratory simulations --- Rockfall occurrence and fragmentation --- Contribution from signatory organizations of the Sendai Partnerships --- International Consortium on Landslides (ICL) --- International Consortium on Landslides (ICL) - The proposing organization of the ISDR-ICL Sendai partnerships 2015-2025 --- United Nations Office for Disaster Risk Reduction (UNISDR) --- UNISDR‘s Contribution to Science and Technology for Disaster Risk Reduction and the Role of the International Consortium on Landslides (ICL) --- United Nations Educational, Scientific and Cultural Organization (UNESCO) --- UNESCO’s Contribution to the Implementation of UNISDR’s Global Initiative and ICL --- United Nations University (UNU) --- The United Nations University: Research and Policy Support for Environmental Risk Reduction --- World Meteorological Organization (WMO) --- Concerted International Efforts for Advancing Multi-Hazard Early Warning Systems --- International Council for Science (ICSU) --- On Future Challenges for the Integration of Science into International Policy Development for Landslide Disaster Risk Reduction --- World Federation of Engineering Organizations (WFEO) --- World Federation of Engineering Organizations Activities in Disaster Risk Reduction --- Disaster Prevention Research Institute (DPRI), Kyoto University --- National Civil Protection Department, Italian Presidency of the Council of Ministers, Government of Italy --- Understanding and Reducing Landslide Disaster Risk: Challenges and Opportunities for Italian Civil Protection --- Landslide Dynamics: ISDR-ICL Landslide Interactive Teaching Tools (LITT) --- Progress of the World Report on Landslides --- International Programme on Landslides (IPL): Objectives, History and List of World Centres of Excellence and IPL Projects --- UNESCO-KU-ICL UNITWIN Cooperation Programme for Landslides and Water-Related Disaster Risk Management. Landslides: Journal of the International Consortium on Landslides --- IPL Activities --- Advanced Technologies for Landslides (WCoE 2014-2017, IPL-196, IPL-198) --- Mechanisms of Landslides and Creep in Over-Consolidated Clays and Flysch (WCoE 2014-2017 --- Research on Heavy-Rainfall-Induced and Hydraulic-Driven Geological Hazards in China (WCoE 2014-2017). Landslide Risk Reduction in Croatia: Scientific research in the framework of the WCoE 2014-2017, IPL-173, IPL-184, ICL ABN --- Shapes and Mechanisms of Large-scale Landslides in Japan: Forecasting Analysis from an Inventory (WCoE 2014–2017 --- Retrospective and Prospects for Cold Regions Landslide Research (2012-2016) (WCoE 2014-2017, IPL-132, IPL-167, IPL-203, CRLN --- Large-scale Rockslide Inventories: from the Kokomeren River Basin to the Entire Central Asia Region (WCoE 2014-2017, IPL-106-2) --- Interventions for Promoting Knowledge, Innovations and Landslide Risk Management Practices within South and Southeast Asia (WCoE 2014-2017) --- Promoting a Global Standard for Community-based Landslide Early Warning Systems (WCoE 2014-2017, IPL-158, IPL-165) --- Model Policy Frameworks, Standards and Guidelines on Landslide Disaster Reduction (WCoE 2014-2017) --- Landslide Hazard and Risk Management (WCoE 2014-2017) --- Mitigation of Landslide Hazards in Ukraine under the Guidance of ICL: 2009–2016 (IPL-153, IPL-191) --- Development of a Hazard Evaluation Technique for Earthquake-Induced Landslides Based on an Analytic Hierarchy Process (AHP) (IPL-154) --- The Croatian-Japanese SATREPS Joint Research Project on Landslides (IPL-161)
    Pages: Online-Ressource (XXVI, 586 pages) , 372 illustrations, 350 illustrations in color
    ISBN: 9783319594699
    Language: English
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  • 5
    Unknown
    Basel, Beijing, Wuhan : MDPI
    Keywords: remote sensing ; air pollution ; air pollutant emissions ; satellite data
    Description / Table of Contents: Belle, J.; Liu, Y. Evaluation of Aqua MODIS Collection 6 AOD Parameters for Air Quality Research over the Continental United States. Remote Sens. 2016, 8(10), 815; doi:10.3390/rs8100815. http://www.mdpi.com/2072-4292/8/10/815 --- Sun, K.; Chen, X.; Zhu, Z.; Zhang, T. High Resolution Aerosol Optical Depth Retrieval Using Gaofen-1 WFV Camera Data. Remote Sens. 2017, 9(1), 89; doi:10.3390/rs9010089. http://www.mdpi.com/2072-4292/9/1/89 --- Chen, X.; Yang, D.; Cai, Z.; Liu, Y.; Spurr, R. Aerosol Retrieval Sensitivity and Error Analysis for the Cloud and Aerosol Polarimetric Imager on Board TanSat: The Effect of Multi-Angle Measurement. Remote Sens. 2017, 9(2), 183; doi:10.3390/rs9020183. http://www.mdpi.com/2072-4292/9/2/183 --- Jiang, M.; Sun, W.; Yang, G.; Zhang, D. Modelling Seasonal GWR of Daily PM2.5 with Proper Auxiliary Variables for the Yangtze River Delta. Remote Sens. 2017, 9(4), 346; doi:10.3390/rs9040346. http://www.mdpi.com/2072-4292/9/4/346 --- Wang, Y.; Chen, L.; Li, S.; Wang, X.; Yu, C.; Si, Y.; Zhang, Z. Interference of Heavy Aerosol Loading on the VIIRS Aerosol Optical Depth (AOD) Retrieval Algorithm. Remote Sens. 2017, 9(4), 397; doi:10.3390/rs9040397. http://www.mdpi.com/2072-4292/9/4/397 --- Wang, W.; Mao, F.; Pan, Z.; Du, L.; Gong, W. Validation of VIIRS AOD through a Comparison with a Sun Photometer and MODIS AODs over Wuhan. Remote Sens. 2017, 9(5), 403; doi:10.3390/rs9050403. http://www.mdpi.com/2072-4292/9/5/403 --- Zhu, J.; Xia, X.; Wang, J.; Che, H.; Chen, H.; Zhang, J.; Xu, X.; Levy, R.; Oo, M.; Holz, R.; Ayoub, M. Evaluation of Aerosol Optical Depth and Aerosol Models from VIIRS Retrieval Algorithms over North China Plain. Remote Sens. 2017, 9(5), 432; doi:10.3390/rs9050432. http://www.mdpi.com/2072-4292/9/5/432 --- Dolgii, S.; Nevzorov, A.; Nevzorov, A.; Romanovskii, O.; Kharchenko, O. Intercomparison of Ozone Vertical Profile Measurements by Differential Absorption Lidar and IASI/MetOp Satellite in the Upper Troposphere–Lower Stratosphere. Remote Sens. 2017, 9(5), 447; doi:10.3390/rs9050447. http://www.mdpi.com/2072-4292/9/5/447 --- Liu, L.; Zhang, X.; Xu, W.; Liu, X.; Lu, X.; Wang, S.; Zhang, W.; Zhao, L. Ground Ammonia Concentrations over China Derived from Satellite and Atmospheric Transport Modeling. Remote Sens. 2017, 9(5), 467; doi:10.3390/rs9050467. http://www.mdpi.com/2072-4292/9/5/467 --- Chen, W.; Fan, A.; Yan, L. Performance of MODIS C6 Aerosol Product during Frequent Haze-Fog Events: A Case Study of Beijing. Remote Sens. 2017, 9(5), 496; doi:10.3390/rs9050496. http://www.mdpi.com/2072-4292/9/5/496 --- Osorio, M.; Casaballe, N.; Belsterli, G.; Barreto, M.; Gómez, Á.; Ferrari, J.; Frins, E. Plume Segmentation from UV Camera Images for SO2 Emission Rate Quantification on Cloud Days. Remote Sens. 2017, 9(6), 517; doi:10.3390/rs9060517. http://www.mdpi.com/2072-4292/9/6/517 --- Gu, J.; Chen, L.; Yu, C.; Li, S.; Tao, J.; Fan, M.; Xiong, X.; Wang, Z.; Shang, H.; Su, L. Ground-Level NO2 Concentrations over China Inferred from the Satellite OMI and CMAQ Model Simulations. Remote Sens. 2017, 9(6), 519; doi:10.3390/rs9060519. http://www.mdpi.com/2072-4292/9/6/519 --- Wang, Y.; Wang, J.; Levy, R.; Xu, X.; Reid, J. MODIS Retrieval of Aerosol Optical Depth over Turbid Coastal Water. Remote Sens. 2017, 9(6), 595; doi:10.3390/rs9060595. http://www.mdpi.com/2072-4292/9/6/595 --- Kim, D.; Lee, H.; Hong, H.; Choi, W.; Lee, Y.; Park, J. Estimation of Surface NO2 Volume Mixing Ratio in Four Metropolitan Cities in Korea Using Multiple Regression Models with OMI and AIRS Data. Remote Sens. 2017, 9(6), 627; doi:10.3390/rs9060627. http://www.mdpi.com/2072-4292/9/6/627 --- Qu, Y.; Han, Y.; Wu, Y.; Gao, P.; Wang, T. Study of PBLH and Its Correlation with Particulate Matter from One-Year Observation over Nanjing, Southeast China. Remote Sens. 2017, 9(7), 668; doi:10.3390/rs9070668. http://www.mdpi.com/2072-4292/9/7/668 --- Tosca, M.; Campbell, J.; Garay, M.; Lolli, S.; Seidel, F.; Marquis, J.; Kalashnikova, O. Attributing Accelerated Summertime Warming in the Southeast United States to Recent Reductions in Aerosol Burden: Indications from Vertically-Resolved Observations. Remote Sens. 2017, 9(7), 674; doi:10.3390/rs9070674. http://www.mdpi.com/2072-4292/9/7/674 --- Tao, M.; Wang, Z.; Tao, J.; Chen, L.; Wang, J.; Hou, C.; Wang, L.; Xu, X.; Zhu, H. How Do Aerosol Properties Affect the Temporal Variation of MODIS AOD Bias in Eastern China?. Remote Sens. 2017, 9(8), 800; doi:10.3390/rs9080800. http://www.mdpi.com/2072-4292/9/8/800 --- Wang, W.; Mao, F.; Du, L.; Pan, Z.; Gong, W.; Fang, S. Deriving Hourly PM2.5 Concentrations from Himawari-8 AODs over Beijing–Tianjin–Hebei in China. Remote Sens. 2017, 9(8), 858; doi:10.3390/rs9080858. http://www.mdpi.com/2072-4292/9/8/858 --- Yuchechen, A.; Lakkis, S.; Canziani, P. Linear and Non-Linear Trends for Seasonal NO2 and SO2 Concentrations in the Southern Hemisphere (2004−2016). Remote Sens. 2017, 9(9), 891; doi:10.3390/rs9090891. http://www.mdpi.com/2072-4292/9/9/891 --- Qin, K.; Rao, L.; Xu, J.; Bai, Y.; Zou, J.; Hao, N.; Li, S.; Yu, C. Estimating Ground Level NO2 Concentrations over Central-Eastern China Using a Satellite-Based Geographically and Temporally Weighted Regression Model. Remote Sens. 2017, 9(9), 950; doi:10.3390/rs9090950. http://www.mdpi.com/2072-4292/9/9/950
    Pages: Online-Ressource (X, 342 Seiten)
    Edition: Printed Edition of the Special Issue Published in Remote Sensing
    ISBN: 9783038426417
    Language: English
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  • 6
    Unknown
    Berlin, Heidelberg : Springer
    Keywords: Earth sciences ; Climatology ; Physical geography ; Environmental chemistry ; Marine sciences ; Freshwater ; Earth Sciences ; Earth System Sciences ; Environmental Chemistry ; Climatology ; Marine & Freshwater Sciences
    Description / Table of Contents: Chapter 1: Short-lived trace gases in the surface ocean and the atmosphere --- Chapter 2: Transfer across the air-sea interface --- Chapter 3: Air-sea interactions of natural long-lived greenhouse gases (CO2, N2O, CH4) in a changing climate --- Chapter 4: Ocean-Atmosphere interactions of particles --- Chapter 5: Perspectives and Integration in SOLAS science
    Pages: Online-Ressource (LI, 315 pages) , 181 illustrations, 162 illustrations in color
    ISBN: 9783642256431
    Language: English
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  • 7
    Unknown
    Cham : Springer
    Keywords: Earth sciences ; Energy policy ; Energy and state ; Fossil fuels ; Climate ; Asia ; Politics and government ; Economic geology ; Geotechnical engineering ; Earth Sciences ; Economic Geology ; Energy Policy, Economics and Management ; Asian Politics ; Fossil Fuels (incl. Carbon Capture) ; Climate, general ; Geotechnical Engineering & Applied Earth Sciences
    Description / Table of Contents: This book is open access under a CC BY 4.0 license. This book examines how China can increase the share of natural gas in its energy system. China’s energy strategy has global ramifications and impact, and central to this strategy is the country’s transition from coal to gas. The book presents the culmination of a two-year collaboration between the Development Research Center of the State Council (DRC) and Shell.  With the Chinese government’s strategic aim to increase the share of gas in the energy mix from 5.8% in 2014 to 10% and 15% in 2020 and 2030 respectively, the book outlines how China can achieve its gas targets. Providing both quantifiable metrics and policy measures for the transition, it is a much needed addition to the literature on Chinese energy policy. The research and the resulting recommendations of this study have fed directly into the Chinese government’s 13th Five-Year Plan, and provide unique insights into the Chinese government and policy-making. Due to its global impact, the book is a valuable resource for policy makers in both China and the rest of the world
    Pages: Online-Ressource (XLVIII, 477 pages) , 184 illustrations, 181 illustrations in color
    ISBN: 9783319597348
    Language: English
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  • 8
    Unknown
    Basel, Beijing, Wuhan : MDPI
    Keywords: earth observation ; remote sensing ; geohazards ; SAR processing ; interferometry ; time series analysis ; photogrammetry ; multi-spectral ; Global Navigation Satellite System (GNSS) ; earthquake ; landslide ; volcanic eruption ; fracking ; mining subsidence ; groundwater-related subsidence ; damage assessment
    Description / Table of Contents: Chen, K.; Zamora, N.; Babeyko, A.; Li, X.; Ge, M. Precise Positioning of BDS, BDS/GPS: Implications for Tsunami Early Warning in South China Sea. Remote Sensing 2015, 7(12), 15955-15968; doi:10.3390/rs71215814 --- Cianflone, G.; Tolomei, C.; Brunori, C.; Dominici, R. InSAR Time Series Analysis of Natural and Anthropogenic Coastal Plain Subsidence: The Case of Sibari (Southern Italy). Remote Sensing 2015, 7(12), 16004-16023; doi:10.3390/rs71215812 --- Kropáček, J.; Vařilová, Z.; Baroň, I.; Bhattacharya, A.; Eberle, J.; Hochschild, V. Remote Sensing for Characterisation and Kinematic Analysis of Large Slope Failures: Debre Sina Landslide, Main Ethiopian Rift Escarpment. Remote Sensing 2015, 7(12), 16183-16203; doi:10.3390/rs71215821 --- Pacheco-Martínez, J.; Cabral-Cano, E.; Wdowinski, S.; Hernández-Marín, M.; Ortiz-Lozano, J.; Zermeño-de-León, M. Application of InSAR and Gravimetry for Land Subsidence Hazard Zoning in Aguascalientes, Mexico. Remote Sensing 2015, 7(12), 17035-17050; doi:10.3390/rs71215868 --- Al-Rawabdeh, A.; He, F.; Moussa, A.; El-Sheimy, N.; Habib, A. Using an Unmanned Aerial Vehicle-Based Digital Imaging System to Derive a 3D Point Cloud for Landslide Scarp Recognition. Remote Sensing 2016, 8(2), 95; doi:10.3390/rs8020095 --- Zhai, W.; Shen, H.; Huang, C.; Pei, W. Building Earthquake Damage Information Extraction from a Single Post-Earthquake PolSAR Image. Remote Sensing 2016, 8(3), 171; doi:10.3390/rs8030171 --- Jiang, Y.; Liao, M.; Zhou, Z.; Shi, X.; Zhang, L.; Balz, T. Landslide Deformation Analysis by Coupling Deformation Time Series from SAR Data with Hydrological Factors through Data Assimilation. Remote Sensing 2016, 8(3), 179; doi:10.3390/rs8030179 --- He, M.; Zhu, Q.; Du, Z.; Hu, H.; Ding, Y.; Chen, M. A 3D Shape Descriptor Based on Contour Clusters for Damaged Roof Detection Using Airborne LiDAR Point Clouds. Remote Sensing 2016, 8(3), 189; doi:10.3390/rs8030189 --- Hu, J.; Wang, Q.; Li, Z.; Zhao, R.; Sun, Q. Investigating the Ground Deformation and Source Model of the Yangbajing Geothermal Field in Tibet, China with the WLS InSAR Technique. Remote Sensing 2016, 8(3), 191; doi:10.3390/rs8030191 --- Hsieh, Y.; Chan, Y.; Hu, J. Digital Elevation Model Differencing and Error Estimation from Multiple Sources: A Case Study from the Meiyuan Shan Landslide in Taiwan. Remote Sensing 2016, 8(3), 199; doi:10.3390/rs8030199 --- Zhu, S.; Xu, C.; Wen, Y.; Liu, Y. Interseismic Deformation of the Altyn Tagh Fault Determined by Interferometric Synthetic Aperture Radar (InSAR) Measurements. Remote Sensing 2016, 8(3), 233; doi:10.3390/rs8030233 --- Vetrivel, A.; Gerke, M.; Kerle, N.; Vosselman, G. Identification of Structurally Damaged Areas in Airborne Oblique Images Using a Visual-Bag-of-Words Approach. Remote Sensing 2016, 8(3), 231; doi:10.3390/rs8030231 --- Bardi, F.; Raspini, F.; Ciampalini, A.; Kristensen, L.; Rouyet, L.; Lauknes, T.; Frauenfelder, R.; Casagli, N. Space-Borne and Ground-Based InSAR Data Integration: The Åknes Test Site. Remote Sensing 2016, 8(3), 237; doi:10.3390/rs8030237 --- Liu, P.; Li, Q.; Li, Z.; Hoey, T.; Liu, G.; Wang, C.; Hu, Z.; Zhou, Z.; Singleton, A. Anatomy of Subsidence in Tianjin from Time Series InSAR. Remote Sensing 2016, 8(3), 266; doi:10.3390/rs8030266 --- Ma, Y.; Chen, F.; Liu, J.; He, Y.; Duan, J.; Li, X. An Automatic Procedure for Early Disaster Change Mapping Based on Optical Remote Sensing. Remote Sensing 2016, 8(4), 272; doi:10.3390/rs8040272 --- Yang, C.; Zhang, Q.; Xu, Q.; Zhao, C.; Peng, J.; Ji, L. Complex Deformation Monitoring over the Linfen–Yuncheng Basin (China) with Time Series InSAR Technology. Remote Sensing 2016, 8(4), 284; doi:10.3390/rs8040284 --- Watanabe, M.; Thapa, R.; Shimada, M. Pi-SAR-L2 Observation of the Landslide Caused by Typhoon Wipha on Izu Oshima Island. Remote Sensing 2016, 8(4), 282; doi:10.3390/rs8040282 --- Plank, S.; Twele, A.; Martinis, S. Landslide Mapping in Vegetated Areas Using Change Detection Based on Optical and Polarimetric SAR Data. Remote Sensing 2016, 8(4), 307; doi:10.3390/rs8040307 --- Solaro, G.; De Novellis, V.; Castaldo, R.; De Luca, C.; Lanari, R.; Manunta, M.; Casu, F. Coseismic Fault Model of Mw 8.3 2015 Illapel Earthquake (Chile) Retrieved from Multi-Orbit Sentinel1-A DInSAR Measurements. Remote Sensing 2016, 8(4), 323; doi:10.3390/rs8040323 --- Bai, L.; Jiang, L.; Wang, H.; Sun, Q. Spatiotemporal Characterization of Land Subsidence and Uplift (2009–2010) over Wuhan in Central China Revealed by TerraSAR-X InSAR Analysis. Remote Sensing 2016, 8(4), 350; doi:10.3390/rs8040350 --- Xu, B.; Li, Z.; Feng, G.; Zhang, Z.; Wang, Q.; Hu, J.; Chen, X. Continent-Wide 2-D Co-Seismic Deformation of the 2015 Mw 8.3 Illapel, Chile Earthquake Derived from Sentinel-1A Data: Correction of Azimuth Co-Registration Error. Remote Sensing 2016, 8(5), 376; doi:10.3390/rs8050376 --- Chen, M.; Tomás, R.; Li, Z.; Motagh, M.; Li, T.; Hu, L.; Gong, H.; Li, X.; Yu, J.; Gong, X. Imaging Land Subsidence Induced by Groundwater Extraction in Beijing (China) Using Satellite Radar Interferometry. Remote Sensing 2016, 8(6), 468; doi:10.3390/rs8060468 --- Ji, L.; Xu, J.; Zhao, Q.; Yang, C. Source Parameters of the 2003–2004 Bange Earthquake Sequence, Central Tibet, China, Estimated from InSAR Data. Remote Sensing 2016, 8(6), 516; doi:10.3390/rs8060516 --- Li, Y.; Jiang, W.; Zhang, J.; Luo, Y. Space Geodetic Observations and Modeling of 2016 Mw 5.9 Menyuan Earthquake: Implications on Seismogenic Tectonic Motion. Remote Sensing 2016, 8(6), 519; doi:10.3390/rs8060519 --- Trasatti, E.; Tolomei, C.; Pezzo, G.; Atzori, S.; Salvi, S. Deformation and Related Slip Due to the 2011 Van Earthquake (Turkey) Sequence Imaged by SAR Data and Numerical Modeling. Remote Sensing 2016, 8(6), 532; doi:10.3390/rs8060532 --- Wang, C.; Mao, X.; Wang, Q. Landslide Displacement Monitoring by a Fully Polarimetric SAR Offset Tracking Method. Remote Sensing 2016, 8(8), 624; doi:10.3390/rs8080624 --- Liu, Y.; Xu, C.; Li, Z.; Wen, Y.; Chen, J.; Li, Z. Time-Dependent Afterslip of the 2009 Mw 6.3 Dachaidan Earthquake (China) and Viscosity beneath the Qaidam Basin Inferred from Postseismic Deformation Observations. Remote Sensing 2016, 8(8), 649; doi:10.3390/rs8080649 --- Xu, B.; Feng, G.; Li, Z.; Wang, Q.; Wang, C.; Xie, R. Coastal Subsidence Monitoring Associated with Land Reclamation Using the Point Target Based SBAS-InSAR Method: A Case Study of Shenzhen, China. Remote Sensing 2016, 8(8), 652; doi:10.3390/rs8080652 --- Sun, L.; Muller, J. Evaluation of the Use of Sub-Pixel Offset Tracking Techniques to Monitor Landslides in Densely Vegetated Steeply Sloped Areas. Remote Sensing 2016, 8(8), 659; doi:10.3390/rs8080659 --- De Novellis, V.; Castaldo, R.; Lollino, P.; Manunta, M.; Tizzani, P. Advanced Three-Dimensional Finite Element Modeling of a Slow Landslide through the Exploitation of DInSAR Measurements and in Situ Surveys. Remote Sensing 2016, 8(8), 670; doi:10.3390/rs8080670 --- Zhang, Y.; Wu, H.; Kang, Y.; Zhu, C. Ground Subsidence in the Beijing-Tianjin-Hebei Region from 1992 to 2014 Revealed by Multiple SAR Stacks. Remote Sensing 2016, 8(8), 675; doi:10.3390/rs8080675 --- Zhou, G.; Yue, T.; Shi, Y.; Zhang, R.; Huang, J. Second-Order Polynomial Equation-Based Block Adjustment for Orthorectification of DISP Imagery. Remote Sensing 2016, 8(8), 680; doi:10.3390/rs8080680 --- Bonì, R.; Pilla, G.; Meisina, C. Methodology for Detection and Interpretation of Ground Motion Areas with the A-DInSAR Time Series Analysis. Remote Sensing 2016, 8(8), 686; doi:10.3390/rs8080686 --- Xie, S.; Duan, J.; Liu, S.; Dai, Q.; Liu, W.; Ma, Y.; Guo, R.; Ma, C. Crowdsourcing Rapid Assessment of Collapsed Buildings Early after the Earthquake Based on Aerial Remote Sensing Image: A Case Study of Yushu Earthquake. Remote Sensing 2016, 8(9), 759; doi:10.3390/rs8090759 --- Fernández, T.; Pérez, J.; Cardenal, J.; Gómez, J.; Colomo, C.; Delgado, J. Analysis of Landslide Evolution Affecting Olive Groves Using UAV and Photogrammetric Techniques. Remote Sensing 2016, 8(10), 837; doi:10.3390/rs8100837 --- Cignetti, M.; Manconi, A.; Manunta, M.; Giordan, D.; De Luca, C.; Allasia, P.; Ardizzone, F. Taking Advantage of the ESA G-POD Service to Study Ground Deformation Processes in High Mountain Areas: A Valle d’Aosta Case Study, Northern Italy. Remote Sensing 2016, 8(10), 852; doi:10.3390/rs8100852 --- Cooner, A.; Shao, Y.; Campbell, J. Detection of Urban Damage Using Remote Sensing and Machine Learning Algorithms: Revisiting the 2010 Haiti Earthquake. Remote Sensing 2016, 8(10), 868; doi:10.3390/rs8100868 --- Zhou, W.; Li, S.; Zhou, Z.; Chang, X. InSAR Observation and Numerical Modeling of the Earth-Dam Displacement of Shuibuya Dam (China). Remote Sensing 2016, 8(10), 877; doi:10.3390/rs8100877 --- Qu, T.; Lu, P.; Liu, C.; Wu, H.; Shao, X.; Wan, H.; Li, N.; Li, R. Hybrid-SAR Technique: Joint Analysis Using Phase-Based and Amplitude-Based Methods for the Xishancun Giant Landslide Monitoring. Remote Sensing 2016, 8(10), 874; doi:10.3390/rs8100874 --- Gong, L.; Wang, C.; Wu, F.; Zhang, J.; Zhang, H.; Li, Q. Earthquake-Induced Building Damage Detection with Post-Event Sub-Meter VHR TerraSAR-X Staring Spotlight Imagery. Remote Sensing 2016, 8(11), 887; doi:10.3390/rs8110887 --- Ding, C.; Feng, G.; Li, Z.; Shan, X.; Du, Y.; Wang, H. Spatio-Temporal Error Sources Analysis and Accuracy Improvement in Landsat 8 Image Ground Displacement Measurements. Remote Sensing 2016, 8(11), 937; doi:10.3390/rs8110937 --- Ma, C.; Cheng, X.; Yang, Y.; Zhang, X.; Guo, Z.; Zou, Y. Investigation on Mining Subsidence Based on Multi-Temporal InSAR and Time-Series Analysis of the Small Baseline Subset—Case Study of Working Faces 22201-1/2 in Bu’ertai Mine, Shendong Coalfield, China. Remote Sensing 2016, 8(11), 951; doi:10.3390/rs8110951 --- Caló, F.; Notti, D.; Galve, J.; Abdikan, S.; Görüm, T.; Pepe, A.; Balik Şanli, F. DInSAR-Based Detection of Land Subsidence and Correlation with Groundwater Depletion in Konya Plain, Turkey. Remote Sensing 2017, 9(1), 83; doi:10.3390/rs9010083 --- Tomás, R.; Li, Z. Earth Observations for Geohazards: Present and Future Challenges. Remote Sensing 2017, 9(3), 194; doi:10.3390/rs9030194
    Pages: Online-Ressource (VIII, 386 Seiten)
    Edition: Printed Edition of the Special Issue Published in Remote Sensing
    ISBN: 9783038423997
    Language: English
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  • 9
    Keywords: Earth sciences ; Climate change ; Environmental sciences ; Remote sensing ; Environmental law ; Environmental policy ; Earth Sciences ; Environmental Science and Engineering ; Remote Sensing/Photogrammetry ; Climate Change Management and Policy ; Environmental Law/Policy/Ecojustice ; Environmental Policy ; Climate Change
    Description / Table of Contents: Satellite Earth Observations in Environmental Problem-Solving --- Policy and Earth Observation Innovation Cycle (PEOIC) Project (Japan) --- Innovation in Earth Observations as a National Strategic Investment: The Experience of the U.S --- Benefits Assessment of Applied Earth Science --- ESA’s Earth Observation Strategy and Copernicus --- Earth Observation--UK Perspective and Policy --- Benefit Assessment of the Application of Satellite Earth Observation for Society and Policy: Assessing the Socio-economic Impacts of the Development of Downstream, Space-based Earth Observation Applications --- Chinese Earth Observation Program and Policy --- Greenhouse Gas Observation from Space --- Japanese Satellite Earth Observation: Status and Policy Issues --- The New 10-Year GEOSS Strategy for 2016 and Beyond --- The Value of Global Earth Observations --- Earth Observation Support to the UN Framework Convention on Climate Change: The Example of REDD+ --- Quantitative Assessment of the Earth Observation Data and Methods Used to Generate Reference Emission Levels for REDD+ --- Evaluation of Space Programs: Select Findings from the OECD Space Forum --- Integrating Earth Observation Systems and International Environmental Regimes --- Conclusion
    Pages: Online-Ressource (XXV, 221 pages) , 57 illustrations, 51 illustrations in color
    ISBN: 9789811037139
    Language: English
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  • 10
    Keywords: Earth sciences ; Natural disasters ; Engineering geology ; Engineering ; Geology ; Foundations ; Hydraulics ; Sustainable development ; Earth Sciences ; Natural Hazards ; Geoengineering, Foundations, Hydraulics ; Sustainable Development
    Description / Table of Contents: ISDR-ICL Sendai Partnerships 2015-2025 --- The ISDR-ICL Sendai Partnerships 2015-2025: Background and Content --- Forum lectures --- Rupestrian world heritage sites: Instability investigation and sustainable mitigation --- Subaerial landslide-generated waves: Numerical and laboratory simulations --- Rockfall occurrence and fragmentation --- Contribution from signatory organizations of the Sendai Partnerships --- International Consortium on Landslides (ICL) --- International Consortium on Landslides (ICL) - The proposing organization of the ISDR-ICL Sendai partnerships 2015-2025 --- United Nations Office for Disaster Risk Reduction (UNISDR) --- UNISDR‘s Contribution to Science and Technology for Disaster Risk Reduction and the Role of the International Consortium on Landslides (ICL) --- United Nations Educational, Scientific and Cultural Organization (UNESCO) --- UNESCO’s Contribution to the Implementation of UNISDR’s Global Initiative and ICL --- United Nations University (UNU) --- The United Nations University: Research and Policy Support for Environmental Risk Reduction --- World Meteorological Organization (WMO) --- Concerted International Efforts for Advancing Multi-Hazard Early Warning Systems --- International Council for Science (ICSU) --- On Future Challenges for the Integration of Science into International Policy Development for Landslide Disaster Risk Reduction --- World Federation of Engineering Organizations (WFEO) --- World Federation of Engineering Organizations Activities in Disaster Risk Reduction --- Disaster Prevention Research Institute (DPRI), Kyoto University --- National Civil Protection Department, Italian Presidency of the Council of Ministers, Government of Italy --- Understanding and Reducing Landslide Disaster Risk: Challenges and Opportunities for Italian Civil Protection --- Landslide Dynamics: ISDR-ICL Landslide Interactive Teaching Tools (LITT) --- Progress of the World Report on Landslides --- International Programme on Landslides (IPL): Objectives, History and List of World Centres of Excellence and IPL Projects --- UNESCO-KU-ICL UNITWIN Cooperation Programme for Landslides and Water-Related Disaster Risk Management. Landslides: Journal of the International Consortium on Landslides --- IPL Activities --- Advanced Technologies for Landslides (WCoE 2014-2017, IPL-196, IPL-198) --- Mechanisms of Landslides and Creep in Over-Consolidated Clays and Flysch (WCoE 2014-2017 --- Research on Heavy-Rainfall-Induced and Hydraulic-Driven Geological Hazards in China (WCoE 2014-2017). Landslide Risk Reduction in Croatia: Scientific research in the framework of the WCoE 2014-2017, IPL-173, IPL-184, ICL ABN --- Shapes and Mechanisms of Large-scale Landslides in Japan: Forecasting Analysis from an Inventory (WCoE 2014–2017 --- Retrospective and Prospects for Cold Regions Landslide Research (2012-2016) (WCoE 2014-2017, IPL-132, IPL-167, IPL-203, CRLN --- Large-scale Rockslide Inventories: from the Kokomeren River Basin to the Entire Central Asia Region (WCoE 2014-2017, IPL-106-2) --- Interventions for Promoting Knowledge, Innovations and Landslide Risk Management Practices within South and Southeast Asia (WCoE 2014-2017) --- Promoting a Global Standard for Community-based Landslide Early Warning Systems (WCoE 2014-2017, IPL-158, IPL-165) --- Model Policy Frameworks, Standards and Guidelines on Landslide Disaster Reduction (WCoE 2014-2017) --- Landslide Hazard and Risk Management (WCoE 2014-2017) --- Mitigation of Landslide Hazards in Ukraine under the Guidance of ICL: 2009–2016 (IPL-153, IPL-191) --- Development of a Hazard Evaluation Technique for Earthquake-Induced Landslides Based on an Analytic Hierarchy Process (AHP) (IPL-154) --- The Croatian-Japanese SATREPS Joint Research Project on Landslides (IPL-161)
    Pages: Online-Ressource (XXVI, 586 pages) , 372 illustrations, 350 illustrations in color
    ISBN: 9783319594699
    Language: English
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