Sentinel-1 SAR interferometry for agriculture: description of an experiment in Oryol, Russia

DOI: 10.35595/2414-9179-2020-3-26-124-131

View or download the article (Eng)

About the Authors

Giovanni Nico

Consiglio Nazionale delle Ricerche, Istituto per le Applicazioni del Calcolo,
Via Amendola, 122/O, 70126, Bari, Italy,
E-mail: g.nico@ba.iac.cnr.it

Saint Petersburg State University, Earth Institute, Department of Cartography and Geoinformatics,
10th line VI, 33, 199178, Saint Peterburg, Russia,
E-mail: g.nico@spbu.ru

Lyubov N. Trofimetz

Oryol State University, Institute of Natural Sciences and Biotechnology, Department of Geography, Ecology and General Biology,
Komsomolskaya str., 95, 302026, Oryol, Russia,
E-mail: trofimetc_l_n@mail.ru

Olimpia Masci

DIAN s.r.l.,
Via Ferruccio Parri, 44, 75100, Matera, Italy,
E-mail: o.masci@dianalysis.eu

Abstract

In this work we describe an experiment to be carried out in the basin of Suhaya Orlitsa river (Oryol region, central part of European Russia) to compare in-situ measurements of soil moisture with estimates obtained using Synthetic Aperture Radar (SAR) interferometry. The Sentinel-1 mission of the European Space Agency (ESA), acquiring C-band SAR images regularly over all Earth regions since 2014 with a mean revisiting time of 6 days, is used. In-situ measurements of soil moisture are planned in a time interval of 3 hours in coincidence of each Sentinel-1 passage, using a temporal sampling of 15 minutes. Test measurements are planned at the end of the month of April, when the soil accumulates water. The aim of the experiment is to demonstrate the feasibility of using Sentinel-1 images to densify the network of in-situ measurements of soil moisture on the territory of Russia. The application of SAR interferometry is investigated as it requires less in-situ measurements than methods based on the use of radar cross-section and the inversion of models of electromagnetic scattering from natural surfaces. Examples of interferometric coherence and phase images obtained by processing Sentinel-1 images acquired on 20th September 2019 and 2nd October 2019 over the study area are shown.

Keywords

Synthetic Aperture Radar (SAR), SAR Interferometry (InSAR), soil moisture, Sentinel-1

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For citation: Nico G., Trofimetz L.N., Masci O. Sentinel-1 SAR interferometry for agriculture: description of an experiment in Oryol, Russia. InterCarto. InterGIS. GI support of sustainable development of territories: Proceedings of the International conference. Moscow: Moscow University Press, 2020. V. 26. Part 3. P. 124–131. DOI: 10.35595/2414-9179-2020-3-26-124-131