COSMO-SkyMed multi-temporal data for land cover classification and soil moisture retrieval over an agricultural site in Southern Australia

Giuseppe Satalino, Rocco Panciera, Anna Balenzano, Francesco Mattia, Jeffrey Walker

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

13 Citations (Scopus)

Abstract

This paper uses a time-series of COSMO-SkyMed SAR images for land cover classification and soil moisture retrieval over an agricultural area located in Southern Australia. The SAR products analyzed are 11 StripMap Ping Pong images, at HH and HV polarizations, acquired at 21° incidence angle and with a revisiting time of either 8 or 16 days. The classification accuracy has been assessed as a function of the polarization and the number of images analyzed. Results confirm that the temporal information is crucial to improve the classification results. An overall accuracy of approximately 82% was achieved for 10 classes. Moreover, soil moisture (mv) maps over bare or sparsely vegetated areas have been retrieved by means of the SMOSAR-X ('Soil MOisture retrieval from multi-temporal SAR data') algorithm, developed in view of the forthcoming Sentinel-1 data and then adapted to X-band SAR data. The SMOSAR-X algorithm is shown to produce mv maps with an rmse of 6.6% v/v. 

Original languageEnglish
Title of host publication2012 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2012) -Proceedings
Subtitle of host publicationJuly 22–27, 2012, Munich, Germany
EditorsIrena Hajnsek, Helmut Rott
Place of PublicationPiscataway, NJ
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages5701-5704
Number of pages4
ISBN (Electronic)9781467311588, 9781467311595
ISBN (Print)9781467311601
DOIs
Publication statusPublished - 2012
EventIEEE International Geoscience and Remote Sensing Symposium 2012 - International Congress Centre, Munich, Germany
Duration: 22 Jul 201227 Jul 2012
Conference number: 32nd
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6334512 (IEEE Conference Proceedings)

Conference

ConferenceIEEE International Geoscience and Remote Sensing Symposium 2012
Abbreviated titleIGARSS 2012
CountryGermany
CityMunich
Period22/07/1227/07/12
Internet address

Keywords

  • COSMO-SkyMed
  • Multitemporal Classification
  • SAR
  • Soil Moisture retrieval
  • X-band

Cite this

Satalino, G., Panciera, R., Balenzano, A., Mattia, F., & Walker, J. (2012). COSMO-SkyMed multi-temporal data for land cover classification and soil moisture retrieval over an agricultural site in Southern Australia. In I. Hajnsek, & H. Rott (Eds.), 2012 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2012) -Proceedings: July 22–27, 2012, Munich, Germany (pp. 5701-5704). [6352317] IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/IGARSS.2012.6352317