Data assimilation plays a dual role in advancing the “scientific” understanding and serving
as an “engineering tool” for the Earth system sciences. Land data assimilation (LDA) has …

Soil moisture (SM) is a key hydrologic state variable that is of significant importance for
numerous Earth and environmental science applications that directly impact the global …

A Global Land Data Assimilation System (GLDAS) has been developed. Its purpose is to
ingest satellite-and ground-based observational data products, using advanced land surface …

This paper reviews methods for estimating evaporation from landscapes, regions and larger
geographic extents, with remotely sensed surface temperatures, and highlights uncertainties …

Despite significant recent developments in computational power and distributed hydrologic
modeling, the issue of how to adequately address the uncertainty associated with …

The sensitivity of Synthetic Aperture Radar (SAR) to soil moisture is well established,
however, the retrieval of soil moisture from SAR is confounded by the effects of surface …

" Four pedometricians have written this new book on sampling. They are often consulted by
colleagues who need to plan sampling schemes for monitoring, but have not felt able to …

Although surface soil moisture data from different sources (satellite retrievals, ground
measurements, and land model integrations of observed meteorological forcing data) have …

Tremendous efforts have been made for obtaining surface soil moisture (SM) at high spatial
resolutions from microwave-based products via spatial downscaling. In recent years …

Microwave remote sensing of soil moisture has been an active area of research since the
1970s but has yet found little use in operational applications. Given recent advances in …