Читать книгу Sustainable Development Practices Using Geoinformatics - Группа авторов - Страница 23

The vegetation cover of a locality significantly influences LST. LST can reflect the scenario of land surface water and heat exchange process broadly. Therefore, in this study, we retrieved and tried to explore relationship between LST, NDVI, and LULC using temporal Landsat 5 and Landsat 8 remote sensing images. The results obtained shows that the spatial distribution of LST and NDVI is having negative relationship, analyzed after removing water body data (Figure 1.8A, 1.8B & 1.8C). Moreover, it is clear from the figures given below that in all directions from center of the city the NDVI is showing inverse relationship in 2001, 2011, and 2017. However, it is also deduced from the analysis of LST against land use (LULC) that built-up area shows highest LST as against green space and built-up area with green space (Figure 1.9). Moreover, the present analysis also shows that there is average rise in temperature from 2001 to 2017 through 2011 for each land use class. The LST observed for the green space is also comparable to the water body. The coefficient of regression is found to be negative as observed from regression analysis between NDVI and LST for the Barasat Municipality (Figure 1.10).