Shoreline changes and its impact on the mangrove ecosystems of some islands of Indian Sundarbans, North-East coast of India

Thakur, Sandeep; Mondal, Ismail; Bar, Somnath; Nandi, Subhanil; Ghosh, Phani Bhusan; Das, Papita; De, Tarun Kumar

doi:10.1016/j.jclepro.2020.124764

Cited by 50 publications

(10 citation statements)

References 46 publications

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“…The process of calculating LST is explained below by following the method of Thakur et al. (2020a , b ) and Kafy et al. (2021) (Eqs.…”

Section: Methodsmentioning

confidence: 99%

“…LULC changes can occur as a result of both human and climate-related factors. Demand for additional settlements, for example, frequently results in the irreversible loss of working and natural land cover, which can lead to localized changes in weather patterns, precipitation, and temperature ( Morshed et al., 2021 ; Mondal et al., 2021a , b , 2022 ; Thakur et al., 2020a , 2020b ; Gazi and Mondal 2018 ). These changes have the ability to influence the Earth's climate by modifying local, regional, and global circulation patterns, changing the reflectivity of the Earth's surface, and increasing the CO2 in the atmosphere when they are accumulated over huge areas ( Fattah et al., 2021a ).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A GIS and remote sensing approach for measuring summer-winter variation of land use and land cover indices and surface temperature in Dhaka district, Bangladesh

Sresto¹,

Siddika²,

Fattah³

et al. 2022

Heliyon

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“…The process of calculating LST is explained below by following the method of Thakur et al. (2020a , b ) and Kafy et al. (2021) (Eqs.…”

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A GIS and remote sensing approach for measuring summer-winter variation of land use and land cover indices and surface temperature in Dhaka district, Bangladesh

Sresto¹,

Siddika²,

Fattah³

et al. 2022

Heliyon

View full text Add to dashboard Cite

“…Sea level rise may also be a contributing factor [106] but there is no reliable information for this part of Vietnam. Due to coastal erosion, mangroves tend to move landward or die due to bank slumping, especially in deltaic regions [107,108]. The loss of mudflat areas through erosion decreased the number of potential areas for planting mangroves in both Thanh Hoa and Nghe An provinces.…”

Section: Natural Factorsmentioning

confidence: 99%

Mangrove Forest Landcover Changes in Coastal Vietnam: A Case Study from 1973 to 2020 in Thanh Hoa and Nghe An Provinces

Nguyen

Hardy

Le³

et al. 2021

Forests

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Mangrove forests can ameliorate the impacts of typhoons and storms, but their extent is threatened by coastal development. The northern coast of Vietnam is especially vulnerable as typhoons frequently hit it during the monsoon season. However, temporal change information in mangrove cover distribution in this region is incomplete. Therefore, this study was undertaken to detect change in the spatial distribution of mangroves in Thanh Hoa and Nghe An provinces and identify reasons for the cover change. Landsat satellite images from 1973 to 2020 were analyzed using the NDVI method combined with visual interpretation to detect mangrove area change. Six LULC classes were categorized: mangrove forest, other forests, aquaculture, other land use, mudflat, and water. The mangrove cover in Nghe An province was estimated to be 66.5 ha in 1973 and increased to 323.0 ha in 2020. Mangrove cover in Thanh Hoa province was 366.1 ha in 1973, decreased to 61.7 ha in 1995, and rose to 791.1 ha in 2020. Aquaculture was the main reason for the loss of mangroves in both provinces. Overall, the percentage of mangrove loss from aquaculture was 42.5% for Nghe An province and 60.1% for Thanh Hoa province. Mangrove restoration efforts have contributed significantly to mangrove cover, with more than 1300 ha being planted by 2020. This study reveals that improving mangrove restoration success remains a challenge for these provinces, and further refinement of engineering techniques is needed to improve restoration outcomes.

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“…These data are superior for studying variation in vegetation in response to climate change and significant regional changes in vegetation coverage and can reflect the expansion or contraction of vegetation coverage in response to external environmental influences. In addition, vegetation variation can also be reflected through Landsat data [10]. Landsat data have worked better in studies of the mangrove forests coverage, mapping the degradation of mangroves due to shoreline changes [11].…”

Section: Introductionmentioning

confidence: 99%

Trend Analysis of Coverage Variation in Pinus yunnanensis Franch. Forests under the Influence of Pests and Abiotic Factors

Liu

Zhang

et al. 2022

Forests

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The Yunnan pine (Pinus yunnanensis Franch.) is one of the primary forest vegetation types in Yunnan Province and has prominent economic value and ecological significance. Monitoring changes in Yunnan pine forests contributes to their health management. The normalized differential vegetation index (NDVI) is an essential indicator for studying regional vegetation change. Landsat images were used to analyze the NDVI changes of Yunnan pine forests in rainy and dry seasons as well as the NDVI changes of Yunnan pine forests from 2009 to 2020. The results showed that the NDVI in Yunnan pine forests showed opposite trends in the rainy and dry seasons, with an increase in the rainy season and a decrease in the dry season. The areas of NDVI decline during the rainy season are mainly located at the edges of the forest area, with very few within the forest area. The main reason for the decline in NDVI within the forest area was pests. From 2009 to 2020, the areas where NDVI increased and decreased were 92.23% and 7.77% of the pine forests, respectively. The decreasing areas were mainly located at the edges of the pine forests, with sporadic distribution within the forest areas. The drought led to a significant decline in NDVI in the forest area in 2010 and 2013. Due to the lack of protective measures, the forest area in Xijiekou Town was severely infested with pests, with complex NDVI changes and strong fluctuations, and areas of severe pest infestation could be detected by NDVI imagery. This study is meaningful for forest protection and explores the potential capability of Landsat imagery for pest detection.

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Shoreline changes and its impact on the mangrove ecosystems of some islands of Indian Sundarbans, North-East coast of India

Cited by 50 publications

References 46 publications

A GIS and remote sensing approach for measuring summer-winter variation of land use and land cover indices and surface temperature in Dhaka district, Bangladesh

A GIS and remote sensing approach for measuring summer-winter variation of land use and land cover indices and surface temperature in Dhaka district, Bangladesh

Mangrove Forest Landcover Changes in Coastal Vietnam: A Case Study from 1973 to 2020 in Thanh Hoa and Nghe An Provinces

Trend Analysis of Coverage Variation in Pinus yunnanensis Franch. Forests under the Influence of Pests and Abiotic Factors

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