ESTIMATION OF SOIL MOISTURE AND EARTH’S SURFACE TEMPERATURE USINGLANDSAT-8 SATELLITE DATA
Paper ID : 1132-SMPR
Authors:
Mahmood Entezari *1, Ali Esmaeily2, Saeid Niazmardi2
1M.Sc. student of Geospatial Information Systems Eng., Graduate University of Advanced Technology, Kerman, Iran
2Assistant professor, Dept. of Surveying Eng., Graduate University of Advanced Technology, Kerman, Iran
Abstract:
Soil moisture estimation is essential for optimal water and soil resources management. Surface soil moisture is an important variable in the natural water cycle, which plays an important role in the global equilibrium of water and energy due to its impact on hydrological, ecological and meteorological processes. Soil moisture changes due to the variability of soil characteristics, topography and vegetation in time and place. Soil moisture measurements are performed directly using in situ methods and indirect, by means of transfer functions or remote sensing. Since in-site measurements are usually costly and time-consuming in large areas, we can use methods such as remote sensing to estimate soil moisture at very large scales. The purpose of this study is to estimate soil moisture using surface temperature and vegetation indices for large areas. In this paper, ground temperature was calculated using Landsat-8 thermal band for Mashhad city and was used to estimate the soil moisture content of the study area. The results showed that urban areas had the highest temperature and less humidity at the time of imaging. The validation will be provided in the full paper later.It can be concluded that the thermal data from Landsat-8 was suitable for the preparation of soil moisture maps.
Keywords:
Soil moisture,LST, Landsat-8, NDVI, GIS, Mashhad
Status : Conditional Accept (Poster)