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

被引:25
|
作者
Hasan, Md. Asif [1 ]
Mia, Md. Bodruddoza [1 ]
Khan, Mahfuzur Rahman [1 ]
Alam, Md. Jahangir [1 ]
Chowdury, Tareq [1 ]
Al Amin, Md. [1 ]
Ahmed, Kazi Matin Uddin [1 ]
机构
[1] Univ Dhaka, Dept Geol, Dhaka 1000, Bangladesh
关键词
Landsat; 8; LULC; Soil moisture; Evapotranspiration; LST; Rohingya influx; INDEX; SATELLITE; RETRIEVAL; NDVI;
D O I
10.1007/s41651-023-00140-6
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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 degrees C and 20.87-34.96 degrees 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.
引用
收藏
页数:22
相关论文
共 50 条
  • [41] Spatial-Temporal Land Use and Land Cover Changes in Urban Areas Using Remote Sensing Images and GIS Analysis: The Case Study of Opole, Poland
    Wiatkowska, Barbara
    Slodczyk, Janusz
    Stokowska, Aleksandra
    [J]. GEOSCIENCES, 2021, 11 (08)
  • [42] Land use/land cover changes of Noyyal watershed in Coimbatore district, India, mapped using remote sensing techniques
    Kinattinkara, Sapna
    Arumugam, Thangavelu
    Kuppusamy, Shanthi
    Krishnan, Manoj
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 29 (57) : 86349 - 86361
  • [43] Land use/land cover changes of Noyyal watershed in Coimbatore district, India, mapped using remote sensing techniques
    Sapna Kinattinkara
    Thangavelu Arumugam
    Shanthi Kuppusamy
    Manoj Krishnan
    [J]. Environmental Science and Pollution Research, 2022, 29 : 86349 - 86361
  • [44] Analysis of Land Use and Land Cover Changes in Urban Areas Using Remote Sensing: Case of Blantyre City
    Gondwe, Jane Ferah
    Lin, Sun
    Munthali, Rodger Millar
    [J]. DISCRETE DYNAMICS IN NATURE AND SOCIETY, 2021, 2021
  • [45] Effect of Land Cover Heterogeneity on Soil Moisture Retrieval Using Active Microwave Remote Sensing Data
    Lakhankar, Tarendra
    Ghedira, Hosni
    Temimi, Marouane
    Azar, Amir E.
    Khanbilvardi, Reza
    [J]. REMOTE SENSING, 2009, 1 (02): : 80 - 91
  • [46] A study of retrieval land surface temperature and evapotranspiration in response to LUCC based on remote sensing data
    Liu, Chaoshun
    Gao, Wei
    Gao, Zhiqiang
    [J]. REMOTE SENSING AND MODELING OF ECOSYSTEMS FOR SUSTAINABILITY IV, 2007, 6679
  • [47] Using temporal variability of land surface temperature and normalized vegetation index to estimate soil moisture condition on forest areas by means of remote sensing
    Przezdziecki, Karol
    Zawadzki, Jaroslaw J.
    Urbaniak, Marek
    Ziemblinska, Klaudia
    Miatkowski, Zygmunt
    [J]. ECOLOGICAL INDICATORS, 2023, 148
  • [48] Remote sensing approach to simulate the land use/land cover and seasonal land surface temperature change using machine learning algorithms in a fastest-growing megacity of Bangladesh
    Kafy, Abdulla-Al
    Abdullah-Al-Faisal
    Shuvo, Ragib Mahmood
    Naim, Md Nazmul Huda
    Sikdar, Md Soumik
    Chowdhury, Radwan Rahman
    Islam, Md Arshadul
    Sarker, Md Hasnan Sakin
    Khan, Md Hasib Hasan
    Kona, Marium Akter
    [J]. REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT, 2021, 21
  • [49] Land Use/Land Cover Dynamic Monitoring and Analysis using Remote Sensing and GIS Techniques: Case Study of Qingpu District, Shanghai
    Lin, Yi
    Liu, Bing
    Xie, Feng
    Ren, Wenwei
    [J]. ADVANCES IN ENVIRONMENTAL SCIENCE AND ENGINEERING, PTS 1-6, 2012, 518-523 : 5704 - 5709
  • [50] Spatiotemporal changes of vegetation and land surface temperature in the refugee camps and its surrounding areas of Bangladesh after the Rohingya influx from Myanmar
    Kazi Jihadur Rashid
    Md. Atikul Hoque
    Tasnia Aysha Esha
    Md. Atiqur Rahman
    Alak Paul
    [J]. Environment, Development and Sustainability, 2021, 23 : 3562 - 3577