Evaluation of spatiotemporal dynamics of land cover and land surface temperature using spectral indices and supervised classification: a case study of Jobai Beel Area, Bangladesh
This study aims to evaluate the spatiotemporal change of land cover (LC) and surface temperature of the Jobai Beel area, an exclusive agriculture zone, situated in the far-flung area of northwest Bangladesh using satellite data. Multi-temporal Landsat series of data from 1989 to 2020 and geospatial...
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Institute of Advanced Science Extension (IASE)
2021
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| Online Access: | http://eprints.utm.my/id/eprint/95513/1/BaharinAhmad2021_EvaluationofSpatiotemporalDynamicsofLandCover.pdf http://eprints.utm.my/id/eprint/95513/ http://dx.doi.org/10.21833/IJAAS.2021.12.009 |
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my.utm.955132022-05-31T12:45:44Z http://eprints.utm.my/id/eprint/95513/ Evaluation of spatiotemporal dynamics of land cover and land surface temperature using spectral indices and supervised classification: a case study of Jobai Beel Area, Bangladesh Abu Haider, A. B. M. Rasib, Abd. Wahid Ahmad, Baharin Ahammed, Sumaiya Jarin G70.39-70.6 Remote sensing HD Industries. Land use. Labor This study aims to evaluate the spatiotemporal change of land cover (LC) and surface temperature of the Jobai Beel area, an exclusive agriculture zone, situated in the far-flung area of northwest Bangladesh using satellite data. Multi-temporal Landsat series of data from 1989 to 2020 and geospatial techniques have been employed to evaluate the LC change and land surface temperature (LST) variation. Different spectral indices such as NDVI, MNDWI, NDBal have been used to retrieve individual LC. Corresponding LST has also been extracted using the thermal bands. Supervised Classification and the post-classification change detection technique were employed to determine the temporal changes and validate the individual LC. The results were employed to assess the LST variation associated with LC changes. The results reveal that the area had undergone a drastic and inconsistent heterogeneous LC transformation during the study period. Water and vegetation areas have expanded at a rate of 0.24km2/year and 0.45km2/year respectively, while bare lands have shrunk at a rate of 0.70km2/year. In general, Bare land exhibits a significant positive correlation, when Vegetation areas show a significant negative correlation with LST. However, the correlation between water areas and LST was found statistically insignificant. Agriculture in the form of vegetation has been found the most dominating land cover character throughout the study period, which has been regulating the LST variation across the area. Institute of Advanced Science Extension (IASE) 2021-12 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/95513/1/BaharinAhmad2021_EvaluationofSpatiotemporalDynamicsofLandCover.pdf Abu Haider, A. B. M. and Rasib, Abd. Wahid and Ahmad, Baharin and Ahammed, Sumaiya Jarin (2021) Evaluation of spatiotemporal dynamics of land cover and land surface temperature using spectral indices and supervised classification: a case study of Jobai Beel Area, Bangladesh. International Journal of Advanced and Applied Sciences, 8 (12). pp. 63-79. ISSN 2313-626X http://dx.doi.org/10.21833/IJAAS.2021.12.009 DOI:10.21833/IJAAS.2021.12.009 |
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G70.39-70.6 Remote sensing HD Industries. Land use. Labor Abu Haider, A. B. M. Rasib, Abd. Wahid Ahmad, Baharin Ahammed, Sumaiya Jarin Evaluation of spatiotemporal dynamics of land cover and land surface temperature using spectral indices and supervised classification: a case study of Jobai Beel Area, Bangladesh |
| description |
This study aims to evaluate the spatiotemporal change of land cover (LC) and surface temperature of the Jobai Beel area, an exclusive agriculture zone, situated in the far-flung area of northwest Bangladesh using satellite data. Multi-temporal Landsat series of data from 1989 to 2020 and geospatial techniques have been employed to evaluate the LC change and land surface temperature (LST) variation. Different spectral indices such as NDVI, MNDWI, NDBal have been used to retrieve individual LC. Corresponding LST has also been extracted using the thermal bands. Supervised Classification and the post-classification change detection technique were employed to determine the temporal changes and validate the individual LC. The results were employed to assess the LST variation associated with LC changes. The results reveal that the area had undergone a drastic and inconsistent heterogeneous LC transformation during the study period. Water and vegetation areas have expanded at a rate of 0.24km2/year and 0.45km2/year respectively, while bare lands have shrunk at a rate of 0.70km2/year. In general, Bare land exhibits a significant positive correlation, when Vegetation areas show a significant negative correlation with LST. However, the correlation between water areas and LST was found statistically insignificant. Agriculture in the form of vegetation has been found the most dominating land cover character throughout the study period, which has been regulating the LST variation across the area. |
| format |
Article |
| author |
Abu Haider, A. B. M. Rasib, Abd. Wahid Ahmad, Baharin Ahammed, Sumaiya Jarin |
| author_facet |
Abu Haider, A. B. M. Rasib, Abd. Wahid Ahmad, Baharin Ahammed, Sumaiya Jarin |
| author_sort |
Abu Haider, A. B. M. |
| title |
Evaluation of spatiotemporal dynamics of land cover and land surface temperature using spectral indices and supervised classification: a case study of Jobai Beel Area, Bangladesh |
| title_short |
Evaluation of spatiotemporal dynamics of land cover and land surface temperature using spectral indices and supervised classification: a case study of Jobai Beel Area, Bangladesh |
| title_full |
Evaluation of spatiotemporal dynamics of land cover and land surface temperature using spectral indices and supervised classification: a case study of Jobai Beel Area, Bangladesh |
| title_fullStr |
Evaluation of spatiotemporal dynamics of land cover and land surface temperature using spectral indices and supervised classification: a case study of Jobai Beel Area, Bangladesh |
| title_full_unstemmed |
Evaluation of spatiotemporal dynamics of land cover and land surface temperature using spectral indices and supervised classification: a case study of Jobai Beel Area, Bangladesh |
| title_sort |
evaluation of spatiotemporal dynamics of land cover and land surface temperature using spectral indices and supervised classification: a case study of jobai beel area, bangladesh |
| publisher |
Institute of Advanced Science Extension (IASE) |
| publishDate |
2021 |
| url |
http://eprints.utm.my/id/eprint/95513/1/BaharinAhmad2021_EvaluationofSpatiotemporalDynamicsofLandCover.pdf http://eprints.utm.my/id/eprint/95513/ http://dx.doi.org/10.21833/IJAAS.2021.12.009 |
| _version_ |
1735386813564977152 |
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13.211869 |