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  Soil moisture downscaling using a simple thermal based proxy

Peng, J., & Loew, A. (2017). Soil moisture downscaling using a simple thermal based proxy. In IGARSS 2017 - International Geoscience and Remote Sensing Symposium (pp. 2503-2506).

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Item Permalink: https://hdl.handle.net/21.11116/0000-0000-AE94-5 Version Permalink: https://hdl.handle.net/21.11116/0000-0007-118C-8
Genre: Conference Paper

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 Creators:
Peng, Jian1, Author           
Loew, A.1, Author
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: 2017
 Publication Status: Issued
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 Rev. Type: -
 Identifiers: DOI: 10.1109/IGARSS.2017.8127503
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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: 8127503 Start / End Page: 2503 - 2506 Identifier: -