Assessment of Land Use Land Cover Changes for Predicting Vulnerable Agricultural Lands in River Basins of Bangladesh Using Remote Sensing and a Fuzzy Expert System

被引:6
|
作者
Alam, Kazi Faiz [1 ]
Ahamed, Tofael [2 ]
机构
[1] Univ Tsukuba, Grad Sch Sci & Technol, Tsukuba, Ibaraki 3058577, Japan
[2] Univ Tsukuba, Fac Life & Environm Sci, Tsukuba, Ibaraki 3058577, Japan
关键词
LULC; river basin; agricultural land use; vulnerability; fuzzy expert system; remote sensing; ArcGIS; Google Earth Engine; Bangladesh; DECISION-MAKING; GIS; SUITABILITY; DELINEATION; BIVARIATE;
D O I
10.3390/rs14215582
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The aim of this study was to assess the LULC changes over 26 years from 1995 to 2021 to find the most changed land use conditions within the 25 km territory of the main river systems of Bangladesh. In addition, the prediction of vulnerable areas for agricultural land use in terms of inundation by river water was also analyzed. The study area includes river networks distributed through eight administrative divisions (Rangpur, Rajshahi, Mymensingh, Sylhet, Dhaka, Khulna, Barishal and Chittagong) of Bangladesh, covering an area of 64,556 km(2). The study was conducted by identifying permanent water bodies from NDWI indices and preparing LULC maps that include the five main land use classes (water body, bare land, vegetation, agricultural land, and urban area) in the Google Earth Engine platform using supervised classification. The LULC maps were then analyzed in the ArcGIS (R) environment. A vulnerability map for agricultural land use was also prepared using a fuzzy expert-based system applying multicriteria analysis. From the land use land cover map of the study area, it was found that among the five land use classes, water bodies, bare land, vegetation, and urban areas increased in size by 3.65%, 2.18%, 3.31% and 2.55%, respectively, whereas agricultural land use significantly decreased by 11.68%. This decrease in agricultural land use was common for the analyzed area of all administrative divisions. According to the vulnerable area map of the eight divisions, more than 50% of the analyzed area of the Khulna and Dhaka divisions and more than 40% of the analyzed area of the Rajshahi, Mymensingh, Sylhet, Barishal and Chittagong divisions were highly vulnerable to agricultural land use due to the possibility of inundation by water. However, approximately 44% of the analyzed area of the Rangpur division was not vulnerable for agricultural land use. The prepared LULC and vulnerability maps can be helpful for the future land use planning of Bangladesh to meet the increasing demand for food production and livelihoods for increasing populations.
引用
收藏
页数:26
相关论文
共 50 条
  • [1] Climate-Adaptive Potential Crops Selection in Vulnerable Agricultural Lands Adjacent to the Jamuna River Basin of Bangladesh Using Remote Sensing and a Fuzzy Expert System
    Alam, Kazi Faiz
    Ahamed, Tofael
    REMOTE SENSING, 2023, 15 (08)
  • [2] Erosion vulnerable area assessment of Jamuna River system in Bangladesh using a multi-criteria-based geospatial fuzzy expert system and remote sensing
    Alam, Kazi Faiz
    Ahamed, Tofael
    ASIA-PACIFIC JOURNAL OF REGIONAL SCIENCE, 2023, 7 (02) : 433 - 454
  • [3] Harnessing complexity: integrating remote sensing and fuzzy expert system for evaluating land use land cover changes and identifying mangrove forest vulnerability in Bangladesh
    Islam, Md. Monirul
    Al Rafi, Dewan Abdullah
    Jannat, Arifa
    Aruga, Kentaka
    Liebenehm, Sabine
    Hossain, Radita
    JOURNAL OF COASTAL CONSERVATION, 2025, 29 (01)
  • [4] MONITORING LAND USE/LAND COVER CHANGES IN A RIVER BASIN DUE TO URBANIZATION USING REMOTE SENSING AND GIS APPROACH
    Shukla, Satyavati
    Khire, M. V.
    Gedam, S. S.
    ISPRS TECHNICAL COMMISSION VIII SYMPOSIUM, 2014, 40-8 : 949 - 953
  • [5] Monitoring of land use and land cover changes by using remote sensing and GIS techniques at human-induced mangrove forests areas in Bangladesh
    Faruque, Md Jamal
    Vekerdy, Zoltan
    Hasan, Md Yeasir
    Islam, Kamal Ziaul
    Young, Beverly
    Ahmed, Mohammad Tofayal
    Monir, Minhaj Uddin
    Shovon, Shaik Muntasir
    Kakon, Jannatul Ferdaus
    Kundu, Prionti
    REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT, 2022, 25
  • [6] Land use/land cover changes (LULCC) using remote sensing analyses in Rizal, Philippines
    Olfato-Parojinog, Anne
    Sobremonte-Maglipon, Pauline Angela
    Limbo-Dizon, James Eduard
    Almadrones-Reyes, King Joshua
    Dagamac, Nikki Heherson A.
    GEOJOURNAL, 2023, 88 (06) : 6105 - 6118
  • [7] Land use/land cover changes (LULCC) using remote sensing analyses in Rizal, Philippines
    Anne Olfato-Parojinog
    Pauline Angela Sobremonte-Maglipon
    James Eduard Limbo-Dizon
    King Joshua Almadrones-Reyes
    Nikki Heherson A. Dagamac
    GeoJournal, 2023, 88 : 6105 - 6118
  • [8] Land use and land cover change in Greater Dhaka, Bangladesh: Using remote sensing to promote sustainable urbanization
    Dewan, Ashraf M.
    Yamaguchi, Yasushi
    APPLIED GEOGRAPHY, 2009, 29 (03) : 390 - 401
  • [9] Erosion vulnerable area assessment of Jamuna River system in Bangladesh using a multi-criteria-based geospatial fuzzy expert system and remote sensing
    Kazi Faiz Alam
    Tofael Ahamed
    Asia-Pacific Journal of Regional Science, 2023, 7 : 433 - 454
  • [10] Determination of Land Use And Land Cover Changes in Canakkale Province Using Remote Sensing
    Sayi, O.
    Genc, L.
    JOURNAL OF TEKIRDAG AGRICULTURE FACULTY-TEKIRDAG ZIRAAT FAKULTESI DERGISI, 2013, 10 (03): : 64 - 73