Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Water resources are the most valuable resources of sustainable socio-economic development, which is significantly affected by climate change and human activities. Water resources assessment is an urgent need for implementation of the perfect water resources management, but it is difficult to accurately evaluate the quantity and quality of water resources, especially in arid regions and high-altitude regions with sparse gauged data. This book hosts 24 papers devoted to remote sensing in hydrology and water resources management, which summarizes the recent advancement in remote sensing technology for hydrology analysis such as satellite remote sensing for water resources management, water quality monitoring and evaluation using remote sensing data, remote sensing for detecting the global impact of climate extremes, the use of remote sensing data for improved calibration of hydrological models, and so on. In general, the book will contribute to promote the application of remote sensing technology in water resources.

Research & information: general --- precipitation datasets --- evaluation --- spatial scale --- temporal scale --- climate --- Yellow River Basin --- data assimilation --- WRF --- WRFDA --- 3DVar --- water levels --- surface areas --- volume variations --- hypsometry --- bathymetry --- lakes --- reservoirs --- remote sensing --- DAHITI --- modified strahler approach --- airborne LiDAR --- DEM --- flood inundation --- flood map --- flood model --- LiDAR --- terrestrial LiDAR --- evapotranspiration --- variability --- uncertainty --- unmanned aerial system --- sUAS --- multispectral --- viticulture --- water resources management --- California --- lake --- Tibetan Plateau --- hydrological changes --- water balance --- Chindwin basin --- hydrological modelling --- multi-variable calibration --- satellite-based rainfall product --- TRMM --- temporal resolution --- rainfall erosivity --- combined approach --- multi-objective optimization --- modeling uncertainty --- model constraint --- SWAT --- semiarid area --- hydrological variations --- normalized difference vegetation index --- total water storage change --- groundwater change --- extreme precipitation --- estimation --- TMPA 3B42-V7 --- regional frequency analysis --- China --- satellite datasets --- accuracy evaluation --- hydrological applicability --- Bosten Lake Basin --- actual evapotranspiration --- available water resources --- climate change --- vegetation greening --- VIP-RS model --- Lancang-Mekong river basin --- MSWEP --- AgMERRA --- APHRODITE --- CHIRPS --- PERSIANN --- error correction --- agricultural water management --- crop water consumption --- remote sensing model --- evapotranspiration allocation --- inland water --- IWCT --- Tianjin --- Landsat data --- Tarim River Basin --- desert-oasis ecotone --- land-use change --- CA-Markov model --- remote sensing in hydrology --- precipitation --- performance evaluation --- GPM --- Poyang Lake --- Yangtze River --- assimilation --- nonparametric modeling --- multi-source --- landscape pattern --- spatiotemporal changes --- influencing factors --- watershed --- China SE --- satellite data --- LUE-GPP --- SPEI --- copula function --- conditional probability --- soil moisture --- neural network --- downscaling --- microwave data --- MODIS data --- precipitation datasets --- evaluation --- spatial scale --- temporal scale --- climate --- Yellow River Basin --- data assimilation --- WRF --- WRFDA --- 3DVar --- water levels --- surface areas --- volume variations --- hypsometry --- bathymetry --- lakes --- reservoirs --- remote sensing --- DAHITI --- modified strahler approach --- airborne LiDAR --- DEM --- flood inundation --- flood map --- flood model --- LiDAR --- terrestrial LiDAR --- evapotranspiration --- variability --- uncertainty --- unmanned aerial system --- sUAS --- multispectral --- viticulture --- water resources management --- California --- lake --- Tibetan Plateau --- hydrological changes --- water balance --- Chindwin basin --- hydrological modelling --- multi-variable calibration --- satellite-based rainfall product --- TRMM --- temporal resolution --- rainfall erosivity --- combined approach --- multi-objective optimization --- modeling uncertainty --- model constraint --- SWAT --- semiarid area --- hydrological variations --- normalized difference vegetation index --- total water storage change --- groundwater change --- extreme precipitation --- estimation --- TMPA 3B42-V7 --- regional frequency analysis --- China --- satellite datasets --- accuracy evaluation --- hydrological applicability --- Bosten Lake Basin --- actual evapotranspiration --- available water resources --- climate change --- vegetation greening --- VIP-RS model --- Lancang-Mekong river basin --- MSWEP --- AgMERRA --- APHRODITE --- CHIRPS --- PERSIANN --- error correction --- agricultural water management --- crop water consumption --- remote sensing model --- evapotranspiration allocation --- inland water --- IWCT --- Tianjin --- Landsat data --- Tarim River Basin --- desert-oasis ecotone --- land-use change --- CA-Markov model --- remote sensing in hydrology --- precipitation --- performance evaluation --- GPM --- Poyang Lake --- Yangtze River --- assimilation --- nonparametric modeling --- multi-source --- landscape pattern --- spatiotemporal changes --- influencing factors --- watershed --- China SE --- satellite data --- LUE-GPP --- SPEI --- copula function --- conditional probability --- soil moisture --- neural network --- downscaling --- microwave data --- MODIS data

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Remote sensing data and methods are increasingly being implemented in assessments of volcanic processes and risk. This happens thanks to their capability to provide a spectrum of observation and measurement opportunities to accurately sense the dynamics, magnitude, frequency, and impacts of volcanic activity. This book includes research papers on the use of satellite, aerial, and ground-based remote sensing to detect thermal features and anomalies, investigate lava and pyroclastic flows, predict the flow path of lahars, measure gas emissions and plumes, and estimate ground deformation. The multi-disciplinary character of the approaches employed for volcano monitoring and the combination of a variety of sensor types, platforms, and methods that come out from the papers testify to the current scientific and technology trends toward multi-data and multi-sensor monitoring solutions. The added value of the papers lies in the demonstration of how remote sensing can improve our knowledge of volcanoes that pose a threat to local communities; back-analysis and critical revision of recent volcanic eruptions and unrest periods; and improvement of modeling and prediction methods. Therefore, the selected case studies also demonstrate the societal impact that this scientific discipline can potentially have on volcanic hazard and risk management.

volcanic thermal anomalies --- change detection --- Villarrica Volcano --- small satellites --- FireBIRD --- TET-1 --- gas emission monitoring --- X-band InSAR --- scanning Mini-DOAS --- Multi-GAS --- volcanic gases --- precipitable water vapor --- radar path delay --- Láscar volcano --- Mt. Etna --- multi-platform satellite observations --- RSTVOLC --- Stromboli volcano --- landslides --- effusive activity --- Ground-Based InSAR --- infrared live cam --- seismic monitoring --- PLEIADES --- Digital Elevation Models --- optical sensors --- volcano remote sensing --- volcano deformation --- SAR interferometry --- post-unrest deflation --- inversion modelling --- Santorini --- hyperspectral --- FENIX --- lava field --- SMACC --- LSMA --- volcano monitoring --- thermal imaging --- time series --- Seasonal-Trend Decomposition --- heat flux --- emissivity --- lava flow modeling --- remote sensing --- volcanic eruption interpretation --- eruption forecasting --- MSG SEVIRI --- wavelet --- thermal measurements --- lava fountain --- lava flow --- Mt.Etna --- eruptive style --- Timanfaya volcanic area --- HDR geothermal systems --- GPR --- EMI --- magnetic anomalies --- seasonality --- lahars hazard --- magma accumulation --- pyroclastic flows --- ash plumes --- volcanic cloud --- Landsat 8 --- elevation model --- Volcán de Colima --- lava flow volume estimation --- SPOT --- EO-1 ALI --- MODIS data --- SENTINEL-2 images --- infrasonic activity --- open-vent activity --- fissural eruption --- long- and short-term precursors --- SO2 fluxes --- UV Camera --- Etna Volcano --- explosive basaltic volcanism --- Bezymianny --- monitoring --- lava dome --- inflation --- SAR imaging --- radar pixel offsets --- acoustic infrasound --- volcanic emissions --- ground-based remote sensing --- Sentinel missions --- Convolutional Neural Network (CNN) --- Synthetic Aperture Radar (SAR) imaging --- InSAR processing --- infrared remote sensing --- SO2 gas emission --- satellite remote sensing --- ash fall --- lava flows --- pyroclastic density currents --- mapping --- volcanic hazard --- gas emissions --- edifice growth and collapse --- volcanic unrest --- thermal anomalies

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Remote sensing data and methods are increasingly being implemented in assessments of volcanic processes and risk. This happens thanks to their capability to provide a spectrum of observation and measurement opportunities to accurately sense the dynamics, magnitude, frequency, and impacts of volcanic activity. This book includes research papers on the use of satellite, aerial, and ground-based remote sensing to detect thermal features and anomalies, investigate lava and pyroclastic flows, predict the flow path of lahars, measure gas emissions and plumes, and estimate ground deformation. The multi-disciplinary character of the approaches employed for volcano monitoring and the combination of a variety of sensor types, platforms, and methods that come out from the papers testify to the current scientific and technology trends toward multi-data and multi-sensor monitoring solutions. The added value of the papers lies in the demonstration of how remote sensing can improve our knowledge of volcanoes that pose a threat to local communities; back-analysis and critical revision of recent volcanic eruptions and unrest periods; and improvement of modeling and prediction methods. Therefore, the selected case studies also demonstrate the societal impact that this scientific discipline can potentially have on volcanic hazard and risk management.

Research & information: general --- volcanic thermal anomalies --- change detection --- Villarrica Volcano --- small satellites --- FireBIRD --- TET-1 --- gas emission monitoring --- X-band InSAR --- scanning Mini-DOAS --- Multi-GAS --- volcanic gases --- precipitable water vapor --- radar path delay --- Láscar volcano --- Mt. Etna --- multi-platform satellite observations --- RSTVOLC --- Stromboli volcano --- landslides --- effusive activity --- Ground-Based InSAR --- infrared live cam --- seismic monitoring --- PLEIADES --- Digital Elevation Models --- optical sensors --- volcano remote sensing --- volcano deformation --- SAR interferometry --- post-unrest deflation --- inversion modelling --- Santorini --- hyperspectral --- FENIX --- lava field --- SMACC --- LSMA --- volcano monitoring --- thermal imaging --- time series --- Seasonal-Trend Decomposition --- heat flux --- emissivity --- lava flow modeling --- remote sensing --- volcanic eruption interpretation --- eruption forecasting --- MSG SEVIRI --- wavelet --- thermal measurements --- lava fountain --- lava flow --- Mt.Etna --- eruptive style --- Timanfaya volcanic area --- HDR geothermal systems --- GPR --- EMI --- magnetic anomalies --- seasonality --- lahars hazard --- magma accumulation --- pyroclastic flows --- ash plumes --- volcanic cloud --- Landsat 8 --- elevation model --- Volcán de Colima --- lava flow volume estimation --- SPOT --- EO-1 ALI --- MODIS data --- SENTINEL-2 images --- infrasonic activity --- open-vent activity --- fissural eruption --- long- and short-term precursors --- SO2 fluxes --- UV Camera --- Etna Volcano --- explosive basaltic volcanism --- Bezymianny --- monitoring --- lava dome --- inflation --- SAR imaging --- radar pixel offsets --- acoustic infrasound --- volcanic emissions --- ground-based remote sensing --- Sentinel missions --- Convolutional Neural Network (CNN) --- Synthetic Aperture Radar (SAR) imaging --- InSAR processing --- infrared remote sensing --- SO2 gas emission --- satellite remote sensing --- ash fall --- lava flows --- pyroclastic density currents --- mapping --- volcanic hazard --- gas emissions --- edifice growth and collapse --- volcanic unrest --- thermal anomalies --- volcanic thermal anomalies --- change detection --- Villarrica Volcano --- small satellites --- FireBIRD --- TET-1 --- gas emission monitoring --- X-band InSAR --- scanning Mini-DOAS --- Multi-GAS --- volcanic gases --- precipitable water vapor --- radar path delay --- Láscar volcano --- Mt. Etna --- multi-platform satellite observations --- RSTVOLC --- Stromboli volcano --- landslides --- effusive activity --- Ground-Based InSAR --- infrared live cam --- seismic monitoring --- PLEIADES --- Digital Elevation Models --- optical sensors --- volcano remote sensing --- volcano deformation --- SAR interferometry --- post-unrest deflation --- inversion modelling --- Santorini --- hyperspectral --- FENIX --- lava field --- SMACC --- LSMA --- volcano monitoring --- thermal imaging --- time series --- Seasonal-Trend Decomposition --- heat flux --- emissivity --- lava flow modeling --- remote sensing --- volcanic eruption interpretation --- eruption forecasting --- MSG SEVIRI --- wavelet --- thermal measurements --- lava fountain --- lava flow --- Mt.Etna --- eruptive style --- Timanfaya volcanic area --- HDR geothermal systems --- GPR --- EMI --- magnetic anomalies --- seasonality --- lahars hazard --- magma accumulation --- pyroclastic flows --- ash plumes --- volcanic cloud --- Landsat 8 --- elevation model --- Volcán de Colima --- lava flow volume estimation --- SPOT --- EO-1 ALI --- MODIS data --- SENTINEL-2 images --- infrasonic activity --- open-vent activity --- fissural eruption --- long- and short-term precursors --- SO2 fluxes --- UV Camera --- Etna Volcano --- explosive basaltic volcanism --- Bezymianny --- monitoring --- lava dome --- inflation --- SAR imaging --- radar pixel offsets --- acoustic infrasound --- volcanic emissions --- ground-based remote sensing --- Sentinel missions --- Convolutional Neural Network (CNN) --- Synthetic Aperture Radar (SAR) imaging --- InSAR processing --- infrared remote sensing --- SO2 gas emission --- satellite remote sensing --- ash fall --- lava flows --- pyroclastic density currents --- mapping --- volcanic hazard --- gas emissions --- edifice growth and collapse --- volcanic unrest --- thermal anomalies