International Journal of

ADVANCED AND APPLIED SCIENCES

EISSN: 2313-3724, Print ISSN: 2313-626X

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 Volume 8, Issue 12 (December 2021), Pages: 63-79

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 Original Research Paper

 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

 Author(s): A. B. M. Abu Haider 1, *, Abd Wahid Bin Rasib 1, Baharin Bin Ahmad 1, Sumaiya Jarin Ahammed 2

 Affiliation(s):

 1Department of Geoinformation, Faculty of Built Environment and Surveying, University Teknologi Malaysia, Johor Bahru, Malaysia
 2Department of Civil Engineering, International University of Business Agriculture and Technology, Dhaka, Bangladesh

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 * Corresponding Author. 

  Corresponding author's ORCID profile: https://orcid.org/0000-0002-2581-2190

 Digital Object Identifier: 

 https://doi.org/10.21833/ijaas.2021.12.009

 Abstract:

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. 

 © 2021 The Authors. Published by IASE.

 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

 Keywords: MNDWI, NDVI, NDBaI, Land surface temperature, Jobai Beel

 Article History: Received 28 May 2021, Received in revised form 11 September 2021, Accepted 6 October 2021

 Acknowledgment 

The authors would like to express their profound gratitude to the Faculty of Built Environment and Surveying (FABU), Universiti Teknologi Malaysia (UTM), for all the support that has been provided. The authors would also like to address a special thanks to grants awarded under UTM CR DID VOT 4C255 and UTM IIIG VOT 01M78.

 Compliance with ethical standards

 Conflict of interest: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

 Citation:

 Abu Haider ABM, Rasib AWB, and Ahmad BB et al. (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): 63-79

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 Figures

 Fig. 1 Fig. 2 Fig. 3 Fig. 4 Fig. 5 Fig. 6 Fig. 7 Fig. 8 Fig. 9 Fig. 10 Fig. 11 

 Tables

 Table 1 Table 2 Table 3 Table 4 Table 5 Table 6 Table 7 Table 8 Table 9 Table 10 Table 11 Table 12 Table 13 Table 14 Table 15    

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