English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/143608
logo share SHARE logo core CORE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:


Impact of day/night time land surface temperature in soil moisture disaggregation algorithms

AuthorsPablos, Miriam ; Piles, María ; Sánchez, Nilda; Vall-llossera, Mercè; Martínez-Fernández, José; Camps, Adriano
Issue Date2016
PublisherAssociazione Italiana di Telerilevamento
CitationEuropean Journal of Remote Sensing 49: 899-916 (2016)
AbstractSince its launch in 2009, the ESA’s SMOS mission is providing global soil moisture (SM) maps at ~40 km, using the first L-band microwave radiometer on space. Its spatial resolution meets the needs of global applications, but prevents the use of the data in regional or local applications, which require higher spatial resolutions (~1-10 km). SM disaggregation algorithms based generally on the land surface temperature (LST) and vegetation indices have been developed to bridge this gap. This study analyzes the SM-LST relationship at a variety of LST acquisition times and its influence on SM disaggregation algorithms. Two years of in situ and satellite data over the central part of the river Duero basin and the Iberian Peninsula are used. In situ results show a strong anticorrelation of SM to daily maximum LST (R≈0.5 to -0.8). This is confirmed with SMOS SM and MODIS LST Terra/Aqua at day time-overpasses (R≈-0.4 to -0.7). Better statistics are obtained when using MODIS LST day (R≈0.55 to 0.85; ubRMSD≈0.04 to 0.06 m/m) than LST night (R≈0.45 to 0.80; ubRMSD≈0.04 to 0.07 m/m) in the SM disaggregation. An averaged ensemble of day and night MODIS LST Terra/Aqua disaggregated SM estimates also leads to robust statistics (R≈0.55 to 0.85; ubRMSD≈0.04 to 0.07 m/m) with a coverage improvement of~10-20 %
Description18 pages, 5 figures, 1 table
Publisher version (URL)https://dx.doi.org/10.5721/EuJRS20164947
Identifiersdoi: 10.5721/EuJRS20164947
issn: 2279-7254
Appears in Collections:(ICM) Artículos
Files in This Item:
File Description SizeFormat 
Pablos_et_al_2016.pdf782,04 kBAdobe PDFThumbnail
Show full item record
Review this work

Related articles:

WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.