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Temporal Changes in Land Cover, Land Surface Temperature, Soil Moisture, and Evapotranspiration Using Remote Sensing Techniques—a Case Study of Kutupalong Rohingya Refugee Camp in Bangladesh

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Abstract

This study aims to assess the land use and land cover (LULC), land surface temperature (LST), soil moisture (SM), and evapotranspiration (ET) in the Kutopalong Rohingya refugee camp of the Cox’s Bazar District in Bangladesh and compare the results to their surrounding areas to determine the changes for the duration of 2014–2019. A mix of indices and spatial algorithm-based remote sensing methodologies were applied on Landsat 8 satellite images to extract information on the mentioned surface components and processes. The empirical study suggests that since 2017 land use has become progressively diverse in pattern. A decrease of 6.16% in vegetation cover, respectively, with increased grassland and built-up by 5.13% and 1.79% for the whole of Cox’s Bazar, has been observed during the 5 years. The significant changes are evident in the Kutupalong campsite alone, experiencing an 80.32% decrease in its total forest lands resulting from more than a four-time increase in Rohingya settlements within 2 years. With an overall accuracy of 87%, the findings are consistent with global LULC change patterns. Statistical and correlation analyses were used to explore the LST, SM, and ET. The results illustrate that the highly populated areas are associated with the highest LST and lowest ET, and vice versa. The maximum temperature observed is during the peak refugee intrusion period of 2017, ranging between 20.29–35.89 °C and 20.87–34.96 °C, respectively, for January and December. SM content was estimated for bare lands, and the obtained information indicates that dense human settlement directly and negatively impacts this variable. As a result, land in the entire Rohingya campsite is subject to a shift from moderate to mostly dry soil conditions. Evapotranspiration showed a linear trend with SM change and has decreased over the period.

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Acknowledgements

The authors would like to thank UNICEF Bangladesh for providing support funding for fieldwork. We would like to acknowledge the USGS archives for providing free satellite imagery for the research purpose. Finally, we want to express our sincere acknowledgement to the Editor and unanimous reviewers for helping us improve our manuscript with their valuable comments and suggestions.

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Correspondence to Md. Asif Hasan.

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Hereby, the authors declare that this submission follows the policies outlined in the Guide for Authors and consciously assure that this material is the authors’ own original work, which has not been previously published elsewhere and not currently being considered for publication elsewhere. The manuscript reflects the authors’ own research and analysis in a truthful and complete manner. The manuscript properly credits the meaningful contributions of co-authors and co-researchers. The results are appropriately placed in the context of prior and existing research. All sources used are properly disclosed (correct citation). All procedures performed in the studies do not involve human participants or animals. All authors have been personally and actively involved in substantial work leading to the manuscript, and will take public responsibility for its content.

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Hasan, M.A., Mia, M.B., Khan, M.R. et al. Temporal Changes in Land Cover, Land Surface Temperature, Soil Moisture, and Evapotranspiration Using Remote Sensing Techniques—a Case Study of Kutupalong Rohingya Refugee Camp in Bangladesh. J geovis spat anal 7, 11 (2023). https://doi.org/10.1007/s41651-023-00140-6

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  • DOI: https://doi.org/10.1007/s41651-023-00140-6

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