Including Sentinel-1 radar data to improve the disaggregation of MODIS land surface temperature data-Reference-Cited by-同舟云学术

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Including Sentinel-1 radar data to improve the disaggregation of MODIS land surface temperature data

Published:2019-04 Issue: Volume:150 Page:11-26
ISSN:0924-2716
Container-title:ISPRS Journal of Photogrammetry and Remote Sensing
language:en
Short-container-title:ISPRS Journal of Photogrammetry and Remote Sensing

Author:

Amazirh Abdelhakim,Merlin Olivier,Er-Raki Salah

Funder

European Commission Horizon 2020 Programme for Research and Innovation

French Agence Nationale de la Recherche

Moroccan CNRST

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Computer Science Applications,Engineering (miscellaneous),Atomic and Molecular Physics, and Optics

Reference51 articles.

1. Utility of thermal sharpening over Texas high plains irrigated agricultural fields;Agam;J. Geophys. Res. Atmos.,2007

2. A vegetation index based technique for spatial sharpening of thermal imagery;Agam;Remote Sens. Environ.,2007

3. Modified Penman-Monteith equation for monitoring evapotranspiration of wheat crop: relationship between the surface resistance and remotely sensed stress index;Amazirh;Biosyst. Eng.,2017

4. Retrieving surface soil moisture at high spatio-temporal resolution from a synergy between Sentinel-1 radar and Landsat thermal data: a study case over bare soil;Amazirh;Remote Sens. Environ.,2018

5. A thermal-based remote sensing technique for routine mapping of land-surface carbon, water and energy fluxes from field to regional scales;Anderson;Remote Sens. Environ.,2008

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