Sentinel-1 high resolution soil moisture

F. Mattia, A. Balenzano, G. Satalino, F. Lovergine, A. Loew, J. Peng, U. Wegmuller, M. Santoro, O. Cartus, K. Dabrowska-Zielinska, J. Musial, M. W.J. Davidson, S. Yueh, S. Kim, N. Das, A. Colliander, J. Johnson, J. Ouellette, J. Walker, X. WuH. McNairn, A. Merzouki, J. Powers, T. Caldwell, D. Entekhabi, M. Cosh, T. Jackson

Research output: Chapter in Book/Report/Conference proceedingConference PaperOther

5 Citations (Scopus)

Abstract

The systematic retrieval of near surface soil moisture (SSM) fields at high resolution (e.g., 0.1-1.0 km) is a challenging task that requires the exploitation of new retrieval algorithms and SAR data with advanced observational capabilities (in terms of spatial/temporal resolution, radiometric accuracy, very large swath, long-term continuity and rapid data dissemination). The launch of the Sentinel-1 (S-1) constellation provides these capabilities and calls for the development and validation of pre-operational SSM products at high resolution. The objective of this paper is to present and initially assess a SSM retrieval algorithm developed in view of S-1 data exploitation. The activity is supported by a large scientific community engaged in fostering a more effective interaction between researchers working in the field of high and low resolution SSM retrieval.

Original languageEnglish
Title of host publication2017 IEEE International Geoscience and Remote Sensing Symposium
Subtitle of host publicationInternational Cooperation for Global Awareness, IGARSS 2017 - Proceedings
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages5533-5536
Number of pages4
Volume2017-July
ISBN (Electronic)9781509049516
DOIs
Publication statusPublished - 1 Dec 2017
EventIEEE International Geoscience and Remote Sensing Symposium 2017 - Fort Worth, United States of America
Duration: 23 Jul 201728 Jul 2017
Conference number: 37th
https://www2.securecms.com/IGARSS2017/Default.asp

Conference

ConferenceIEEE International Geoscience and Remote Sensing Symposium 2017
Abbreviated titleIGARSS 2017
CountryUnited States of America
CityFort Worth
Period23/07/1728/07/17
Internet address

Keywords

  • Hydrology
  • New Algorithms
  • SAR
  • Soil Moisture
  • Validation

Cite this

Mattia, F., Balenzano, A., Satalino, G., Lovergine, F., Loew, A., Peng, J., Wegmuller, U., Santoro, M., Cartus, O., Dabrowska-Zielinska, K., Musial, J., Davidson, M. W. J., Yueh, S., Kim, S., Das, N., Colliander, A., Johnson, J., Ouellette, J., Walker, J., ... Jackson, T. (2017). Sentinel-1 high resolution soil moisture. In 2017 IEEE International Geoscience and Remote Sensing Symposium: International Cooperation for Global Awareness, IGARSS 2017 - Proceedings (Vol. 2017-July, pp. 5533-5536). [8128257] IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/IGARSS.2017.8128257