Satellite Soil Moisture Retrieval: Techniques and Applications offers readers a better understanding of the scientific underpinnings, development, and application of soil moisture retrieval techniques and their applications for environmental modeling and management, bringing together a collection of recent developments and rigorous applications of soil moisture retrieval techniques from optical and infrared datasets, such as the universal triangle method, vegetation indices based approaches, empirical models, and microwave techniques, particularly by utilizing earth observation datasets such as IRS III, MODIS, Landsat7, Landsat8, SMOS, AMSR-e, AMSR2 and the upcoming SMAP.Through its coverage of a wide variety of soil moisture retrieval appl...
Monitoring soil moisture at the Earth'surface is of great importance for drought early warnings. Spa...
Requests for regional soil moisture observations are increasing to parameterize complex hydrological...
Soil moisture (SM) is a key hydrologic state variable that is of significant importance for numerous...
Satellite Soil Moisture Retrieval: Techniques and Applications offers readers a better understanding...
Monitoring soil moisture dynamics from local to global scales is essential for a wide range of appli...
Monitoring soil moisture dynamics from local to global scales is essential for a wide range of appli...
Soil moisture influences numerous environmental processes occurring over large spatial and temporal ...
Soil moisture (SM) is a key hydrologic state variable that is of significant importance for numerous...
This chapter describes the emerging applications for satellite-based soil moisture (SM) data and pro...
Soil moisture is an important variable in hydrological modelling used for real time flood forecastin...
Advances in Earth Observation (EO) technology, particularly over the last two decades, have shown th...
Accurate soil moisture indicator is critically important for hydrological applications such as water...
Sindh province has diverse agro-climatological regions ranging from irrigated agricultural belt in t...
International audienceAn algorithm has been developed that employs neural network technology to retr...
Since soil moisture is a key variable in interactions between land surface and atmosphere it is impo...
Monitoring soil moisture at the Earth'surface is of great importance for drought early warnings. Spa...
Requests for regional soil moisture observations are increasing to parameterize complex hydrological...
Soil moisture (SM) is a key hydrologic state variable that is of significant importance for numerous...
Satellite Soil Moisture Retrieval: Techniques and Applications offers readers a better understanding...
Monitoring soil moisture dynamics from local to global scales is essential for a wide range of appli...
Monitoring soil moisture dynamics from local to global scales is essential for a wide range of appli...
Soil moisture influences numerous environmental processes occurring over large spatial and temporal ...
Soil moisture (SM) is a key hydrologic state variable that is of significant importance for numerous...
This chapter describes the emerging applications for satellite-based soil moisture (SM) data and pro...
Soil moisture is an important variable in hydrological modelling used for real time flood forecastin...
Advances in Earth Observation (EO) technology, particularly over the last two decades, have shown th...
Accurate soil moisture indicator is critically important for hydrological applications such as water...
Sindh province has diverse agro-climatological regions ranging from irrigated agricultural belt in t...
International audienceAn algorithm has been developed that employs neural network technology to retr...
Since soil moisture is a key variable in interactions between land surface and atmosphere it is impo...
Monitoring soil moisture at the Earth'surface is of great importance for drought early warnings. Spa...
Requests for regional soil moisture observations are increasing to parameterize complex hydrological...
Soil moisture (SM) is a key hydrologic state variable that is of significant importance for numerous...