Kamal's scientific contributions

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Publications (1)


Fig. 1: Study Area, 2017 Source: Compose by Author
LANDSAT 8_OLI & TIRS
LANDSAT 5_OLI & TIRS
Area under Land surface temperature, April, 1999
Estimation of Land Surface Temperature using LANDSAT DATA: A case study of Agra city, India
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January 2019

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Kamal

Land Surface Temperature (LST) is an important indicator for the study of climate change, urban environment, heat balance studies, hydrological and agricultural process, and urban land use and land cover as well as user input for climate models. LANDSAT data is utilized for the number of applications such as environment study, digester and resource management. This study has been made to estimate, LST using Arc GIS over Agra, India, using LANDSAT 8 and 5 satellite data. The LST has been estimated with respect to Normalized Difference Vegetation Index (NDVI) values determined from the Red and Near Infrared bands. The Land Surface Emissivity (LSE) is retrieved directly from the Thermal Infrared bands. The present study focuses on ArcGIS Raster functions and Raster calculation using the thermal band 10 and 11 of Landsat 8 satellite and thermal band 6 of Landsat 5 on the month of April. The results are feasible to calculate NDVI, LSE, and LST with appropriate accuracy. In the last drive out the temperature variance in different land use and land cover area of Agra city, India.

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Citations (1)


... In Table 2, the details of urban vegetation classes and NDVI value are provided [39]: Equation (2) was used to calculate the proportion of vegetation (PV) [40]. ...

Reference:

Spatiotemporal Analysis of Urban Heat Islands and Vegetation Cover Using Emerging Hotspot Analysis in a Humid Subtropical Climate
Estimation of Land Surface Temperature using LANDSAT DATA: A case study of Agra city, India