ASSESSMENT OF RELATIONSHIP BETWEEN LAND SURFACE TEMPERATURE AND NORMALIZED DIFFERENT VEGETATION INDEX USING LANDSAT IMAGES IN SOME REGIONS OF DIYALA GOVERNORATE

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 agric...

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Published inIraqi journal of agricultural science Vol. 52; no. 4; pp. 793 - 801
Main Author & Al-Timimi, Al-Jbouri
Format Journal Article
LanguageEnglish
Published Baghdad Jami'at Baghdad 01.01.2021
Baghdad University
Subjects
Agriculture
Climate
Climatic conditions
Correlation coefficient
Correlation coefficients
Economic conditions
Geographic information systems
Humidity
Land surface temperature
Landsat
Landsat satellites
NDVI, LST, Remote Sensing, GIS, Landsat Images, Iraq
Normalized difference vegetative index
Radiation
Relative humidity
Remote sensing
Satellite imagery
Satellites
Solar radiation
Temperature
Topography
Vegetation
Baghdad Iraq
Iraq
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Summary: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.
ISSN:0075-0530
2410-0862
DOI:10.36103/ijas.v52i4.1388