Stochastic ensemble methods for multi-SAR-mission soil moisture retrieval
Author:
Funder
Australian Research Council
Publisher
Elsevier BV
Subject
Computers in Earth Sciences,Geology,Soil Science
Reference56 articles.
1. Downscaling SMAP radiometer soil moisture over the CONUS using an ensemble learning method;Abbaszadeh;Water Resour. Res.,2019
2. RF-MEP: a novel random Forest method for merging gridded precipitation products and ground-based measurements;Baez-Villanueva;Remote Sens. Environ.,2020
3. Soil moisture estimation using multi-incidence and multi-polarization ASAR data;Baghdadi;Int. J. Remote Sens.,2006
4. Signal level comparison between TerraSAR-X and COSMO-SkyMed SAR sensors;Baghdadi;IEEE Geosci. Remote Sens. Lett.,2014
5. A new empirical model for radar scattering from bare soil surfaces;Baghdadi;Remote Sens.,2016
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