Subhanil Guha
Biographic Data
| ID | 5776512 |
|---|---|
| NAME | Subhanil Guha |
| GIVEN NAMES | Subhanil |
| FAMILY NAME | Guha |
| SIGNATURE | GUHA S |
| AFFILIATIONS | National Institute of Technology Raipur |
| ORCID | 0000-0002-2967-7248 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 2 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 1 |
Seasonal variability of LST-NDVI correlation on different land use/land cover using Landsat satellite sensor
A long-term monthly assessment of land surface temperature and normalized difference vegetation index using Landsat data
The present study assesses the monthly variation of land surface temperature (LST) and the relationship between LST and normalized difference vegetation index (NDVI) in Raipur City of India using one hundred and eighteen Landsat images from 1988 to 2019. The results show that a monthly variation is observed in the mean LST. The highest mean LST is found in April (38.79oC), followed by May (36.64oC), June (34.56oC), and March (32.11oC).The lowest …
An assessment on the relationship between land surface temperature and normalized difference vegetation index
A long-term seasonal analysis on the relationship between LST and NDBI using Landsat data
A case study on the relationship between land surface temperature and land surface indices in Raipur City, India
Land surface temperature (LST) depends primarily on the land surface material and climatic conditions. The present study focuses on deriving the LST of Raipur City and generating the relationship between LST and some land surface indices, like NDVI, NDWI, NDBI, NMDI, and NDBaI for better land-use planning and environmental management inside the city. These land surface indices respond in different ways with the changes of LST in an urban landscap…
Analytical study of land surface temperature with NDVI and NDBI using Landsat 8 OLI and Tirs data in Florence and Naples city, Italy
The present study focuses on determining the relationship of estimated land surface temperature (LST) with normalized difference vegetation index (NDVI) and normalized difference built-up index (NDBI) for Florence and Naples cities in Italy using Landsat 8 data. The study also classifies different land use/land cover LU–LC) types using NDVI and NDBI threshold values, iterative self-organizing data analysis technique and maximum likelihood classif…
A case study on the relationship between land surface temperature and land surface indices in Raipur City, India
Land surface temperature (LST) depends primarily on the land surface material and climatic conditions. The present study focuses on deriving the LST of Raipur City and generating the relationship between LST and some land surface indices, like NDVI, NDWI, NDBI, NMDI, and NDBaI for better land-use planning and environmental management inside the city. These land surface indices respond in different ways with the changes of LST in an urban landscap…
Analytical study of land surface temperature with NDVI and NDBI using Landsat 8 OLI and Tirs data in Florence and Naples city, Italy
The present study focuses on determining the relationship of estimated land surface temperature (LST) with normalized difference vegetation index (NDVI) and normalized difference built-up index (NDBI) for Florence and Naples cities in Italy using Landsat 8 data. The study also classifies different land use/land cover LU–LC) types using NDVI and NDBI threshold values, iterative self-organizing data analysis technique and maximum likelihood classif…
A case study on the relationship between land surface temperature and land surface indices in Raipur City, India
Land surface temperature (LST) depends primarily on the land surface material and climatic conditions. The present study focuses on deriving the LST of Raipur City and generating the relationship between LST and some land surface indices, like NDVI, NDWI, NDBI, NMDI, and NDBaI for better land-use planning and environmental management inside the city. These land surface indices respond in different ways with the changes of LST in an urban landscap…
A long-term monthly assessment of land surface temperature and normalized difference vegetation index using Landsat data
The present study assesses the monthly variation of land surface temperature (LST) and the relationship between LST and normalized difference vegetation index (NDVI) in Raipur City of India using one hundred and eighteen Landsat images from 1988 to 2019. The results show that a monthly variation is observed in the mean LST. The highest mean LST is found in April (38.79oC), followed by May (36.64oC), June (34.56oC), and March (32.11oC).The lowest …
An assessment on the relationship between land surface temperature and normalized difference vegetation index
A long-term seasonal analysis on the relationship between LST and NDBI using Landsat data
Seasonal variability of LST-NDVI correlation on different land use/land cover using Landsat satellite sensor
Climate change (6 works) · Environmental Science (6 works) · Geography (6 works) · Land Use and Ecosystem Services (6 works) · Normalized Difference Vegetation Index (6 works) · Urban Heat Island Mitigation (6 works) · Climatology (5 works) · Geology (5 works) · Physical geography (5 works) · Urban Green Space and Health (5 works)