Consistency between In Situ, Model-Derived and High-Resolution-Image-Based Soil Temperature Endmembers: Towards a Robust Data-Based Model for Multi-Resolution Monitoring of Crop Evapotranspiration

Remote Sensing

Vivien Georgiana Stefan¹  Olivier Merlin¹  Salah Er-Raki³  Maria-José Escorihuela⁵  Said Khabba²  Soe Myint⁴ 

[1] Centre d’Etudes Spatiales de la Biosphère (CESBIO), 18 avenue Edouard Belin, Toulouse 31401, France; E-Mail:;Faculté des Sciences Semlalia Marrakech (FSSM), Université Cadi Ayyad, Avenue Prince Moulay Abdellah, BP 2390, Marrakech 40000, Morocco; E-Mail:;Faculté des Sciences et Techniques (FST), Université Cadi Ayyad, Avenue Abdelkarim Khettabi, BP 549, Marrakech 40000, Morocco; E-Mail:;Centre d’Etudes Spatiales de la Biosphère (CESBIO), 18 avenue Edouard Belin, Toulouse 31401, France; E-Mail;isardSAT, Parc Tecnologic BCNord, Marie Curie 8-14, Barcelona 08042, Spain; E-Mail:

关键词: evapotranspiration;    energy balance;    temperature endmembers;    SEB-1S;    ASTER;    multi-resolution;   

DOI  :  10.3390/rs70810444

来源: mdpi

【 摘 要 】

Due to their image-based nature, “contextual” approaches are very attractive to estimate evapotranspiration (ET) from remotely-sensed land surface temperature (LST) data. Their application is however limited to highly heterogeneous areas where the soil and vegetation temperature endmembers (Tends) can be observed at the thermal sensor resolution. This paper aims to develop a simple theoretical approach to estimate Tends independently from LST images. Soil Tends are simulated by a soil energy balance model forced by meteorological data. Vegetation Tends are obtained from soil Tends and air temperature. Model-derived soil Tends are first evaluated with in situ measurements made over an irrigated area in Morocco. The root mean square difference (RMSD) between modeled and ground-based soil Tends is estimated as 2.4for the image-based and model-derived Tends, respectively. In light of the above results, Tends should be estimated a priori when contextual models are applied to low resolution images. Moreover, the consistency over highly heterogeneous areas between model-derived and high-resolution image-based Tends provides a meaningful basis for developing mixed modeling observational approaches.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.