ANALYSIS OF LST-NDVI SPARSE/DENSE VEGETATION RELATIONSHIP: A CASE STUDY OF IASI COUNTY.

Although we often take the trees and plants around us for granted, almost every aspect of our lives depends upon them. They clothe us, feed us, provide us with oxygen, absorb carbon dioxide and give us building materials and medications. Vegetation, in Iasi County - the study area in this paper, is predominantly of forest-steppe. In this study is investigating correlation LST - sparse/dense vegetation extraction from NDVI, in three different moments of 2017. Landsat 8 images, which have undergone pre-processing, were used as based date. A lot of papers showed that the surface temperature of the work was confirmed from Landsat 5/7/8. Many researches indicated that between LST and NDVI is a linear relationship. It is noticeable that correlation coefficient has closer values to 1 for relationship LST - NDVI dense; R2 is about 0.9, while R2 is about 0.7 for relationship LST - NDVI sparse. In conclusion, this correlation can be used to study vegetation health, drought damage, and areas where Urban Heat Island can occur. [ABSTRACT FROM AUTHOR]