Inversion of large-scale citrus soil moisture using multi-temporal Sentinel-1 and Landsat-8 data

Author:

Wu Zongjun,Cui Ningbo,Zhang Wenjiang,Gong Daozhi,Liu Chunwei,Liu Quanshan,Zheng Shunsheng,Wang Zhihui,Zhao Lu,Yang Yenan

Funder

Sichuan Province Science and Technology Support Program

European Space Agency

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Elsevier BV

Reference89 articles.

1. Spectral wheat yield prediction modeling using SPOT satellite imagery and leaf area index;Aboelghar;Arab. J. Geosci.,2014

2. Review of machine learning approaches for biomass and soil moisture retrievals from remote sensing data;Ali;Remote. Sens.,2015

3. Two new soil moisture indices based on the NIR-red triangle space of Landsat-8 data;Amani;Int. J. Appl. Earth Obs. Geoinf.,2016

4. Developing pedotransfer functions using Sentinel-2 satellite spectral indices and Machine learning for estimating the surface soil moisture;Azadeh;J. Hydrol.,2022

5. Sentinel-1 soil moisture at 1 km resolution: a validation study;Balenzano;Remote Sens. Environ.,2021

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