Estimating time-dependent vegetation biases in the SMAP soil moisture product
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چکیده
منابع مشابه
Soil Moisture Active Passive (SMAP) Algorithm Theoretical Basis Document (ATBD) SMAP Calibrated, Time-Ordered Brightness Temperatures L1B_TB Data Product
(Page intentionally left blank) Algorithm Theoretical Basis Documents (ATBDs) provide the physical and mathematical descriptions of the algorithms used in the generation of science data products. The ATBDs include a description of variance and uncertainty estimates and considerations of calibration and validation, exception control and diagnostics. Internal and external data flows are also desc...
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The Soil Moisture Active Passive (SMAP) satellite makes coincident global measurements of soil moisture using an L-band radar instrument and an L-band radiometer. It is crucial to evaluate the errors in the newest L-band SMAP satellite-derived soil moisture products, before they are routinely used in scientific research and applications. This study represents the first evaluation of the SMAP ra...
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The Soil Moisture Active Passive Experiments (SMAPEx): Towards Soil Moisture Retrieval from the SMAP Mission
21 NASA's Soil Moisture Active Passive (SMAP) mission will carry the first combined spaceborne L-22 band radiometer and Synthetic Aperture Radar (SAR) system with the objective of mapping near-23 surface soil moisture and freeze/thaw state globally every 2-3 days. SMAP will provide three soil 24 moisture products; (i) high-resolution from radar (~3km), (ii) low-resolution from radiometer 25 (~3...
متن کاملThe Compact Polarimetry alternative for Soil Moisture Estimation using SMAP
In this paper, we investigate the potential of the compact polarimetry mode at longer wavelengths from space for soil moisture estimation using SMAP data. Compact polarimetry consists of transmitting a single polarization while receiving two polarizations. At longer wavelengths, one of the main challenges associated with compact polarimetry from space is Faraday rotation estimation and correcti...
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ژورنال
عنوان ژورنال: Hydrology and Earth System Sciences
سال: 2018
ISSN: 1607-7938
DOI: 10.5194/hess-22-4473-2018