SOIL MOISTURE MONITORING OF AGRICULTURAL FIELDS IN BURKINA FASO USING DUAL POLARIZED SENTINEL-1A DATA
Paper in proceeding, 2019

We investigated the correlation between backscatter and soil moisture considering precipitation and crop effects using dual polarized Sentinel-1A data. The analyzed data consist of a time-series of 38 Sentinel-1A GRD images acquired on a 12-days repeat cycle from July 2017 to October 2018 over Sapone in Burkina Faso. We show that the temporal change of backscatter corresponds to the soil moisture content rather than crops.

radar scattering

agriculture

synthetic aperture radar (SAR)

soil moisture content

Author

Y. Miura

Tohoku University

Leif Eriksson

Chalmers, Space, Earth and Environment, Microwave and Optical Remote Sensing, Radar Remote Sensing

M. Ostwald

University of Gothenburg

M. Karlson

Linköping University

H. R. Bazie

University of Ouagadougou

M. J. Soja

MJ Soja Consulting

J. Sanou

Inst Environm & Rech Agr INERA

J. Bayala

World Agroforestry Centre (ICRAF)

H. Reese

University of Gothenburg

2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019)

2153-6996 (ISSN)

7045-7048
978-1-5386-9154-0 (ISBN)

IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Yokohama, Japan,

Subject Categories

Soil Science

Agricultural Science

Geochemistry

DOI

10.1109/IGARSS.2019.8898897

ISBN

9781538691540

More information

Latest update

12/8/2021