Titlebook: Remote Sensing of Hydrological Extremes; Venkat Lakshmi Book 2017 Springer International Publishing Switzerland 2017 Emergency Management.

effrontery

Remote Sensing of Drought: Vegetation, Soil Moisture, and Data Assimilationted to limited duration of records, this can be overcome by merging the remote-sensing observations with model simulations through data assimilation. The application of data assimilation as a promising approach is described for drought monitoring over the Pacific Northwest US.

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defeatist

Munificent

Remote Sensing of Drivers of Spring Snowmelt Flooding in the North Central U.S.to estimate SWE and soil moisture are summarized, and past remote sensing research conducted in the region is reviewed. Considerations for incorporation of remote sensing estimates into the operational flood forecasting workflow and models are also discussed, using the NOAA National Weather Service

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vitreous-humor

Optical and Physical Methods for Mapping Flooding with Satellite Imagerynstrate visual impacts of the differences over the same study area. The increase in the quantity and variety of flood mapping techniques using satellite data has allowed broader and less-technical audiences to be able to benefit from flood products and may help to mitigate pervasive economic and soc

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Monocle

Drought Monitoring and Assessment Using Remote Sensingn this contribution, we briefly review some commonly used drought indices focusing on the use of remote sensing. A unified framework for drought monitoring and assessment is proposed by the use of standardised indices, such as the standardised precipitation index (SPI) for precipitation, the standar

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Monitoring Drought in Brazil by Remote Sensingdeficits over Southeastern and Northeastern Brazil. Drought has impacted significantly all of the three remotely sensed variables mentioned above in different degrees for the two studied regions. It was also observed that a positive correlation between monthly time series of GRACE and 16 reservoirs