IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 2020 · 32 citations · 25 references
Natural ResourcesEarth SciencesHydrologyHydrometeorologyRemote SensingSoil ScienceDroughtDrought MonitoringSatellite HydrometeorologySatellite SensorsSoil MoistureExtreme Weather EventsSatellite-based Drought MonitoringSoil Moisture EstimationSoil Moisture MonitoringSoil Moisture ObservationSoil Moisture PredictionSoil Moisture Remote SensingWater Availability Monitoring
Socially and economically costly extreme weather events have become more prevalent in the last decade. Monitoring and early warning systems could help mitigate the impact of such events by allowing people to better prepare themselves to manage their responses to these events. One significant element of an effective warning system is soil moisture because it is a key determinant of the exchange of water and heat energy between the land and atmosphere, the partitioning of precipitation between infiltration and runoff, and therefore has an influence on weather patterns and streamflow. In addition, soil moisture governs plant water availability – the key to crop yield forecasting. For these reasons, a wide range of organizations use soil moisture information to better predict and monitor climate and weather phenomena such as floods and droughts. By improving soil moisture estimates, it may be possible to improve the monitoring and early warning systems upon which these organizations rely, and hence better mitigate the impacts of extreme weather events. Through case studies, this article discusses several uses of soil moisture data products from NASA's Soil Moisture Active Passive (SMAP) mission to help improve soil moisture-related monitoring and early warning systems.
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Assessment of the SMAP Passive Soil Moisture Product
S. Chan, Rajat Bindlish, Peggy O’Neill et al. · IEEE Transactions on Geoscience and Remote Sensing · 2016 · 648 citations · Full text
John Bolten, Wade T. Crow, Xiwu Zhan et al. · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 2009 · 375 citations · Full text