Global soil moisture trend analysis using microwave remote sensing data and an automated polynomial-based algorithm

Author:

Mohseni Farzane,Jamali Sadegh,Ghorbanian Arsalan,Mokhtarzade Mehdi

Funder

European Commission

Lunds Universitet

Publisher

Elsevier BV

Subject

Oceanography,Global and Planetary Change

Reference77 articles.

1. Using remote sensing technology to detect, model and map desertification: a review;Albalawi;J. Food Agric. Environ.,2013

2. Skill and global trend analysis of soil moisture from reanalyses and microwave remote sensing;Albergel;J. Hydrometeorol.,2013

3. Evaluating soil moisture retrievals from ESA’s SMOS and NASA’s SMAP brightness temperature datasets;Al-Yaari;Remote Sens. Environ.,2017

4. Effects of soil texture and organic matter on evaporative loss of soil moisture;Amooh;J. Glob. Agric. Ecol,2015

5. Mapping soil moisture with the OPtical TRApezoid Model (OPTRAM) based on long-term MODIS observations;Babaeian;Remote Sens. Environ.,2018

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