AMSR2 Soil Moisture Downscaling Using Temperature and Vegetation Data
نویسندگان
چکیده
منابع مشابه
Downscaling of seasonal soil moisture forecasts using satellite data
A new approach to downscaling soil moisture forecasts from the seasonal ensemble prediction forecasting system of the ECMWF (European Centre for Medium-Range Weather Forecasts) is presented in this study. Soil moisture forecasts from this system are rarely used nowadays, although they could provide valuable information. Weaknesses of the model soil scheme in forecasting soil water content and t...
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[1] Soil moisture (SM) at the local scale is required to account for small-scale spatial heterogeneity of land surface because many hydrological processes manifest at scales ranging from cm to km. Although remote sensing (RS) platforms provide large-scale soil moisture dynamics, scale discrepancy between observation scale (e.g., approximately several kilometers) and modeling scale (e.g., few hu...
متن کاملPassive microwave soil moisture downscaling using evaporative fraction
This paper develops two different approaches for downscaling (disaggregation) passive microwave derived soil moisture from coarse resolution L-band observations. Ground and airborne data collected over Walnut Gulch experimental watershed during the Monsoon ’90 experiment were used to test these approaches. These data consisted of eight micrometeorological stations (METFLUX) and six flights of t...
متن کاملEvaluation of AMSR2 soil moisture products over the contiguous United States using in situ data from the International Soil Moisture Network
High quality soil moisture datasets are required for various environmental applications. The launch of the Advanced Microwave Scanning Radiometer 2 (AMSR2) on board the Global Change Observation Mission 1—Water (GCOM-W1) in May 2012 has provided global near-surface soil moisture data, with an average revisit frequency of two days. Since AMSR2 is a new passive microwave system in operation, it i...
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ژورنال
عنوان ژورنال: Remote Sensing
سال: 2018
ISSN: 2072-4292
DOI: 10.3390/rs10101575