Sensitivity of Sentinel-1 Interferometric Coherence to Crop Structure and Soil Moisture

Davide Palmisano, Giuseppe Satalino, Anna Balenzano, Fabio Bovenga, Francesco Mattia, Michele Rinaldi, Sergio Ruggieri, Henning Skriver, Malcolm W.J. Davidson, Oliver Cartus, Urs Wegmuller

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

This paper investigates the sensitivity of Sentinel-1 (S-1) interferometric coherence to crop structure and near surface soil moisture (SSM) content. The study analyzes a data set collected in 2017 over the Apulian Tavoliere agricultural site (Southern Italy). The data set includes: i) in situ data over more than 600 agricultural fields monitored during the 2017 winter and spring growing seasons; ii) time-series of S-1 IW VV & VH backscatter & interferometric coherence; iii) time series of S-1 SSM maps. The temporal behavior of S-1 coherence and VH backscatter has been assessed over the monitored agricultural fields. Initial results indicate a stronger sensitivity of S-1 coherence than VH backscatter to crop geometric structure. In addition, an analysis at site scale, conducted before and after an important rain event, indicates a change of SSM from 0.18 to 0.30 m3/m3 along with a change of S-1 coherence from 0.61 to 0.53.
Original languageEnglish
Title of host publicationIGARSS 2019 - IEEE International Geoscience and Remote Sensing Symposium
PublisherIEEE
Publication date2019
Pages6219-6222
ISBN (Electronic)978-1-5386-9154-0
DOIs
Publication statusPublished - 2019
EventIEEE International Geoscience and Remote Sensing Symposium 2019 (IGARSS 2019 ) - PACIFICO Yokohama, Yokohama, Japan
Duration: 28 Jul 20192 Aug 2019

Conference

ConferenceIEEE International Geoscience and Remote Sensing Symposium 2019 (IGARSS 2019 )
LocationPACIFICO Yokohama
CountryJapan
CityYokohama
Period28/07/201902/08/2019
SeriesIEEE International Geoscience and Remote Sensing Symposium Proceedings
ISSN2153-6996

Keywords

  • Interferometric coherence
  • Crop segmentation
  • Soil moisture
  • Sentinel-1

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