Open AccessASSESSMENT OF RELATIONSHIP BETWEEN LAND SURFACE TEMPERATURE AND NORMALIZED DIFFERENT VEGETATION INDEX USING LANDSAT IMAGES IN SOME REGIONS OF DIYALA GOVERNORATE
Author(s) -
Al-Jbouri Al-Timimi
Publication year - 2021
Publication title -
iraqi journal of agricultural science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.232
H-Index - 7
eISSN - 2410-0862
pISSN - 0075-0530
DOI - 10.36103/ijas.v52i4.1388
Subject(s) - normalized difference vegetation index , vegetation index , environmental science , vegetation (pathology) , correlation coefficient , remote sensing , enhanced vegetation index , satellite , relative humidity , physical geography , index (typography) , geography , climate change , meteorology , geology , mathematics , statistics , medicine , oceanography , pathology , aerospace engineering , world wide web , computer science , engineering
Agriculture is the most important and most dependent economic activity and influenced by climatic conditions as the climate elements represented by solar radiation, temperature, wind and relative humidity. Therefore, is necessary that analyze and understand the relationship between climate and agriculture. The aim of this study to assessment the relationship between land surface temperature (LST) and normalized difference vegetation index (NDVI) for three regions of Diyala Governorate in Iraq (Al Muqdadya, Baladrooz, and Baquba) by through using of remote sensing techniques and geographic information system (GIS).The Normalized difference vegetation index NDVI and land surface temperature (LST) were used in two of the Landsat-5 ETM + and Landsat-8 OLI satellite imagery during the years 1999 and 2019. The results showed that increased in NDVI and decreased in LST for 2019, while for 1999 increased in LST and decreased in NDVI for the three regions. Finally, the regression was used to obtain that correlation between LST and NDVI. It was concluded that the correlation coefficient between NDVI and LST is negative, where the strongest correlation was 0.76 for Baquba and weakest correlation was 0.55 for Muqdadyia.