Comprehensive analysis of Land Surface Temperature with different indices using Landsat – 8 (OLI TIRS) data in Kanpur Metropolis, India
| Main Author: | Dr. Sukamal Maity |
|---|---|
| Format: | Article Journal |
| Bahasa: | aig |
| Terbitan: |
, 2020
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/5234590 |
Daftar Isi:
- Urbanization has a significant impact on land use by interchanging areas of vegetation with the residential and commercial landscape which reflects a heterogeneous urban infrastructure; this escalates the land Surface Temperature (LST), which has become major Eco-environmental anxiety. Hence, the study of Land Surface Temperature (LST) and its correlation with other indices in urban areas using satellite data is more important. The present study focuses on the relation of LST with the selected indices based on Landsat 8 OLI (Operational Land Imager) and TIRS (Thermal Infrared Sensor) data in Kanpur Metropolis, India. These satellites data of October 20 were computed and analyzed through regression analysis between LST and Normalized Difference Vegetation Index (NDVI), Normalized Difference Built-up Index (NDBI), Normalized Difference Water Index (NDWI), and Normalized Difference Soil Index (NDSI). LST was retrieved by thermal data examination which represents the spatiotemporal distribution of surface temperature. Mean LST varied from 33.94 OC to 24.12OC. NDBI is reciting the built-up index and NDVI the proportion of vegetation in the Metropolis area. Correlation results of LST with NDBI, NDSI, and NDBI with NDSI, NDWI have shown a strong positive relationship i.e. 0.74, 0.72, 0.89, and 0.64 respectively along with the R2 = 0.545, 0.525, 0.787, and 0.407 respectively, whereas the correlation of, NDVI with NDBI and NDWI has a strong negative relationship i.e. – 0.76 and – 0.98 respectively along with the. R2 = 0.575 and 0.9615. A Global Moran’s I and LISA Index analysis was done for all of the indicators.