A D-vine copula quantile regression approach for soil moisture retrieval from dual polarimetric SAR Sentinel-1 over vegetated terrains

Author:

Nguyen Hoang Hai,Cho Seongkeun,Jeong Jaehwan,Choi Minha

Funder

National Research Foundation of Korea

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference68 articles.

1. Pair-copula constructions of multiple dependence;Aas;Insur. Math. Econ.,2009

2. Coupling SAR C-band and optical data for soil moisture and leaf area index retrieval over irrigated grasslands;Baghdadi,2016

3. Calibration of the water cloud model at C-band for winter crop fields and grasslands;Baghdadi;Remote Sens.,2017

4. Soil moisture retrieval from dense temporal series of C-band SAR data over agricultural sites;Balenzano;Int. Geosci. Remote Sens. Symp.,2011

5. Surface soil moisture retrievals over partially vegetated areas from the synergy of Sentinel-1 and Landsat 8 data using a modified water-cloud model;Bao;Int. J. Appl. Earth Obs. Geoinf.,2018

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