Assessing changes in land cover, NDVI, and LST in the Sundarbans mangrove forest in Bangladesh and India: A GIS and remote sensing approach

被引:0
|
作者
Kanjin, Kingsley [1 ]
Alam, Bhuiyan Monwar [1 ]
机构
[1] Univ Toledo, Dept Geog & Planning, Toledo, OH 43606 USA
关键词
SURFACE-TEMPERATURE; VEGETATION; CONSERVATION; STRATEGIES; IMPACT; WORLD; DELTA;
D O I
10.1016/j.rsase.2024.101289
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Mangrove ecosystems, although limited in diversity and area compared to tropical forests, provide essential ecological and economic services, such as carbon sequestration and coastal protection. The Sundarbans mangrove forest, shared by Bangladesh and India, is one of the largest mangrove ecosystems in the world and is crucial for biodiversity, economy, and climate regulation. Unfortunately, this ecosystem has been under severe stress over the years, with alarming rates of deforestation leading to habitat loss and a decline in ecosystem services. This study analyzes the spatiotemporal changes in the Sundarbans mangrove forest coverage from 1973 to 2023 using supervised image classification on Landsat images. It also assesses the relationship between the Normalized Difference Vegetation Index and Land Surface Temperature in the Sundarbans using MODIS data which were extracted in Google Earth Engine. It finds that, despite the loss of denser mangrove areas, an improvement in overall vegetation health is visible, which suggests a natural resilience within the Sundarbans mangrove forest. The Land Surface Temperature result shows a weak but statistically significant negative correlation with the Normalized Difference Vegetation Index, indicating that the depletion of the Sundarbans mangrove forest could have an impact on the area's surface temperature. As such, the study regressed the Normalized Difference Vegetation Index on Land Surface Temperature. The results confirm that although the Normalized Difference Vegetation Index has a statistically significant negative impact on Land Surface Temperature, the Coefficient of Determination is low. This suggests that other factors such as water bodies that intersect with the mangrove forest in the area may play an important role in influencing Land Surface Temperature. The paper reveals a nuanced picture of the Sundarbans' ecological state, with both declining mangrove densities and signs of vegetation recovery. It highlights the need for comprehensive conservation strategies to mitigate further ecosystem degradation.
引用
下载
收藏
页数:13
相关论文
共 50 条
  • [21] Application of Remote Sensing for Assessing Forest Cover Conditions of Aurangabad, (MS), India
    Rajendra, Yogesh D.
    Thorat, Sandip S.
    Nagne, Ajay D.
    Baheti, Manasi R.
    Dhumal, Rajesh K.
    Varpe, Amarsinh B.
    Mehrotra, S. C.
    Kale, K. V.
    PROCEEDINGS OF INTERNATIONAL CONFERENCE ON COMMUNICATION AND NETWORKS, 2017, 508 : 313 - 322
  • [22] Assessment and monitoring of long-term forest cover changes in Odisha, India using remote sensing and GIS
    C. Sudhakar Reddy
    C. S. Jha
    V. K. Dadhwal
    Environmental Monitoring and Assessment, 2013, 185 : 4399 - 4415
  • [23] Assessment and monitoring of long-term forest cover changes in Odisha, India using remote sensing and GIS
    Reddy, C. Sudhakar
    Jha, C. S.
    Dadhwal, V. K.
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2013, 185 (05) : 4399 - 4415
  • [24] Land Use/Land Cover Changes over a District in Northern India using Remote Sensing and GIS and their Impact on Society and Environment
    Meer, Mohammad Suhail
    Mishra, Anoop Kumar
    JOURNAL OF THE GEOLOGICAL SOCIETY OF INDIA, 2020, 95 (02) : 179 - 182
  • [25] Land Use/Land Cover Changes over a District in Northern India using Remote Sensing and GIS and their Impact on Society and Environment
    Mohammad Suhail Meer
    Anoop Kumar Mishra
    Journal of the Geological Society of India, 2020, 95 : 179 - 182
  • [26] 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
  • [27] Assessing climatic impacts on land use and land cover dynamics in Peshawar, Khyber Pakhtunkhwa, Pakistan: a remote sensing and GIS approach
    Aslam, Rana Waqar
    Naz, Iram
    Quddoos, Abdul
    Quddusi, Muhammad Rizwan
    GEOJOURNAL, 2024, 89 (05)
  • [28] Assessing land cover and soil quality by remote sensing and geographical information systems (GIS)
    Obade, Vincent de Paul
    Lal, Rattan
    CATENA, 2013, 104 : 77 - 92
  • [29] Land Use/Land Cover Modeling of Sagar Island, India Using Remote Sensing and GIS Techniques
    Mondal, Ismail
    Thakur, Sandeep
    Ghosh, Phanibhusan
    De, Tarun Kumar
    Bandyopadhyay, Jatisankar
    EMERGING TECHNOLOGIES IN DATA MINING AND INFORMATION SECURITY, IEMIS 2018, VOL 1, 2019, 755 : 771 - 785
  • [30] ASSESSING LAND COVER CHANGES CAUSED BY GRANITE QUARRYING USING REMOTE SENSING
    Moeletsi, R. S.
    Tesfamichael, S. G.
    37TH INTERNATIONAL SYMPOSIUM ON REMOTE SENSING OF ENVIRONMENT, 2017, 42-3 (W2): : 119 - 124