Sentinel-1 high resolution soil moisture

Mattia, F.; Balenzano, A.; Satalino, G.; Lovergine, F.; Loew, A.; Peng, Jian; 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.; Wu, X.; McNairn, H.; Merzouki, A.; Powers, J.; Caldwell, T.; Entekhabi, D.; Cosh, M.; Jackson, T.

doi:10.1109/IGARSS.2017.8128257

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Sentinel-1 high resolution soil moisture

Mattia, F., Balenzano, A., Satalino, G., Lovergine, F., Loew, A., Peng, J., et al. (2017). Sentinel-1 high resolution soil moisture. In IGARSS 2017 - International Geoscience and Remote Sensing Symposium (pp. 5533-5536).

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Item Permalink: https://hdl.handle.net/21.11116/0000-0000-AEA0-7 Version Permalink: https://hdl.handle.net/21.11116/0000-0007-118D-7

Genre: Conference Paper

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Creators:
Mattia, F., Author
Balenzano, A., Author
Satalino, G., Author
Lovergine, F., Author
Loew, A., Author
Peng, Jian¹, Author
Wegmuller, U., Author
Santoro, M., Author
Cartus, O., Author
Dabrowska-Zielinska, K., Author
Musial, J., Author
Davidson, M.W.J., Author
Yueh, S., Author
Kim, S., Author
Das, N., Author
Colliander, A., Author
Johnson, J., Author
Ouellette, J., Author
Walker, J., Author
Wu, X., Author
McNairn, H., AuthorMerzouki, A., AuthorPowers, J., AuthorCaldwell, T., AuthorEntekhabi, D., AuthorCosh, M., AuthorJackson, T., Author more..

Affiliations:
1Terrestrial Remote Sensing / HOAPS, The Land in the Earth System, MPI for Meteorology, Max Planck Society, ou_913559

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Abstract: Existing global soil moisture products normally have spatial resolutions of tens of kilometers, which are too coarse for regional hydrological studies. To solve this problem, various downscaling methods have been proposed to enhance the spatial resolution of those soil moisture products. The aim of this study is to investigate the validity and robustness of a simple Vegetation Temperature Condition Index (VTCI) downscaling scheme over different climates and regions. Both polar orbiting (MODIS) and geostationary (MSG SEVIRI) satellite data are used to improve the spatial resolution of the European Space Agency's Water Cycle Multi-mission Observation Strategy and Climate Change Initiative (ESA CCI) soil moisture product. The results show that the downscaling method can significantly improve the spatial details of CCI soil moisture while maintain the accuracy of CCI soil moisture. The application of the scheme with different satellite platforms and over different regions further demonstrate the robustness and effectiveness of the proposed method. © 2017 IEEE.

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Language(s): eng - English

Dates: Date issued: 2017

Publication Status: Issued

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Identifiers: DOI: 10.1109/IGARSS.2017.8128257

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Title: 37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017

Place of Event: Fort Worth; United States

Start-/End Date: 2017-07-23 - 2017-07-28

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Title: IGARSS 2017 - International Geoscience and Remote Sensing Symposium

Source Genre: Proceedings

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Pages: - Volume / Issue: 2017 Sequence Number: 8128257 Start / End Page: 5533 - 5536 Identifier: -