Uncertainty estimates in the NISAR high-resolution soil moisture retrievals from multi-scale algorithm-Reference-Cited by-同舟云学术

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Uncertainty estimates in the NISAR high-resolution soil moisture retrievals from multi-scale algorithm

Published:2024-09 Issue: Volume:311 Page:114288
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Lal Preet,Singh Gurjeet,Das Narendra N.,Entekhabi Dara,Lohman Rowena B.,Colliander Andreas

Funder

National Aeronautics and Space Administration

Publisher

Elsevier BV

Reference48 articles.

1. Estimating soil moisture using remote sensing data: a machine learning approach;Ahmad;Adv. Water Resour.,2010

2. Statistical Inference;Casella,2002

3. Initial results from the 2019 NISAR Ecosystem Cal/Val Exercise in the SE USA;Chapman,2019

4. Validation of soil moisture data products from the NASA SMAP mission;Colliander;IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens.,2022

5. An algorithm for merging SMAP radiometer and radar data for high-resolution soil-moisture retrieval;Das;IEEE Trans. Geosci. Remote Sens.,2011

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