Abstract
The relationship between the physic features of the Earth’s surface and its temperature has been significantly investigated for further soil moisture assessment. In this study, the spatiotemporal impacts of surface properties on land surface temperature (LST) were examined by using Landsat-8 Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS) and meteorological data. The significant distinctions were observed during a crop growing season through the contrast in the correlation between different multi-spectral satellite indices and LST, in which the highest correlation of −0.65 was found when the Normalized Difference Latent heat Index (NDLI) was used. A new index, named as Temperature-soil Moisture Dryness Index (TMDI), is accordingly proposed to assess surface moisture and evapotranspiration (ET) variability. It is based on a triangle space where NDLI is set as a reference basis for examining surface water availability and the variation of LST is an indicator as a consequence of the cooling effect by ET. TMDI was evaluated against ET derived from the commonly-used model, namely Surface Energy Balance Algorithm for Land (SEBAL), as well as compared to the performance of Temperature Vegetation Dryness Index (TVDI). This study was conducted over five-time points for the 2014 winter crop growing season in southern Taiwan. Results indicated that TMDI exhibits significant sensitivity to surface moisture fluctuation by showing a strong correlation with SEBAL-derived ET with the highest correlation of −0.89 was found on 19 October. Moreover, TMDI revealed its superiority over TVDI in the response to a rapidly changing surface moisture due to water supply before the investigated time. It is suggested that TMDI is a proper and sensitive indicator to characterize the surface moisture and ET rate. Further exploitation of the usefulness of the TMDI in a variety of applications would be interesting.
Highlights
Space Technology Institute, Vietnam Academy of Science and Technology, Hanoi 10000, Vietnam; Center for Space and Remote Sensing Research, National Central University, Taoyuan 320317, Taiwan
Results indicated that Temperature-soil Moisture Dryness Index (TMDI) exhibits significant sensitivity to surface moisture fluctuation by showing a strong correlation with Surface Energy Balance Algorithm for Land (SEBAL)-derived ET with the highest correlation of −0.89 was found on 19 October
This study aims to: (1) provide a reference for selecting the appropriate indicators for characterizing surface properties and their correlation with land surface temperature (LST) variability; and (2) propose a new and advantageous index for rapid surface moisture status and ET assessment by using remote sensing data, in which a potential multi-spectral index was set as a reference basis for examining surface water availability and the variation of LST was set as the parameter of ET cooling effect
Summary
Space Technology Institute, Vietnam Academy of Science and Technology, Hanoi 10000, Vietnam; Center for Space and Remote Sensing Research, National Central University, Taoyuan 320317, Taiwan. A new index, named as Temperature-soil Moisture Dryness Index (TMDI), is proposed to assess surface moisture and evapotranspiration (ET) variability. It is based on a triangle space where NDLI is set as a reference basis for examining surface water availability and the variation of LST is an indicator as a consequence of the cooling effect by ET. TMDI was evaluated against ET derived from the commonly-used model, namely Surface Energy Balance Algorithm for Land (SEBAL), as well as compared to the performance of Temperature Vegetation Dryness Index (TVDI). Results indicated that TMDI exhibits significant sensitivity to surface moisture fluctuation by showing a strong correlation with SEBAL-derived ET with the highest correlation of −0.89 was found on 19 October. Further exploitation of the usefulness of the TMDI in a variety of applications would be interesting
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
