Multi-decadal land cover change analysis over Sundarbans Mangrove Forest of Bangladesh: A GIS and remote sensing based approach

Chowdhury, Md. Sharafat; Hafsa, Bibi

doi:10.1016/j.gecco.2022.e02151

Cited by 26 publications

(18 citation statements)

References 49 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Mangroves are an ecosystem with rich biodiversity. They are not only an important habitat for rare and endangered waterfowl but also a habitat and breeding ground for many marine and coastal organisms [16,31]. In China, the number of mangrove species is also abundant, with 37 species belonging to 20 families and 25 genera.…”

Section: Discussionmentioning

confidence: 99%

“…The precise mangrove map generated by using Sentinel-1 and Sentinel-2 images, combined with Google Earth Engine (GEE), provides a new technology for the evaluation of mangrove ecosystem functions [26][27][28][29]. The time series data of satellite sensors have become a necessary means to quantify the changes of mangrove cover at the regional and global levels in order to understand the changes of mangrove growth with time [30,31]. The remote sensing monitoring data in the past 40 years show that the mangrove area changes significantly from year to year in the Guangdong province.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Response Mechanism of Leaf Area Index and Main Nutrient Content in Mangrove Supported by Hyperspectral Data

Chen¹,

Yang

Zhang

et al. 2023

Forests

View full text Add to dashboard Cite

Mangrove is the key vegetation in the transitional zone between land and sea, and its health assessment can indicate the deep-level ecological information. The LAI and six key nutrients of mangrove were selected as quantitative evaluation indicators, and the decisive evaluation method of mangrove growth was expected. The mangrove reserve of Dongzhai Port National Nature Reserve in Hainan Province, China, was selected as the study area, with an area of 17.71 km2. The study area was divided into adjacent urban areas, aquaculture areas, and agricultural production areas, and key indicators are extracted from satellite hyperspectral data. The extraction process includes spectral data preprocessing, spectral transformation, spectral combination, spectral modeling, and precision inspection. The spatial distribution of LAI and six key nutrient components of mangrove in the study area were obtained. LAI and Chla need to calculate the index after high-order differentiation of the spectrum; MSTR and Chlb need to calculate the envelope after the second-order differential of the spectrum; TN and TP are directly changed by original or exponential spectrum; the spectral transformation method adopted by TK was homogenization after first-order differential. The results of the strength of nutrient content along the three regions show that there was no significant difference in the retrieval index of mangroves in the three regions, and the overall health level of mangroves was consistent. Chla was the key identification component of mangrove growth and health. The contents of nutrient elements with correlation coefficient exceeding 0.80 include MSTR and TK (0.98), Chla and TP (0.96), Chla and TK (0.87), MSTR and Chla (0.86), MSTR and TK (0.83), and MSTR and TP (0.81). The study quantifies the relationship between different LAI and nutrient content of mangrove leaves from the perspectives of water, leaf biology, and chemical elements, which improved our understanding of the relationship between key components during mangrove growth for the first time.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Response Mechanism of Leaf Area Index and Main Nutrient Content in Mangrove Supported by Hyperspectral Data

Chen¹,

Yang

Zhang

et al. 2023

Forests

View full text Add to dashboard Cite

show abstract

“…Researchers have assessed the mangroves at different periods for Bangladesh and India. Multi‐decadal land cover change analysis over Sundarbans mangrove forest of Bangladesh indicated that the mangroves area of 4006.3 km 2 in 2020 (Chowdhury & Hafsa, 2022). The Forest Survey of India (FSI, 2021), reported the mangrove area of 2110 km 2 on the Indian side.…”

Section: Discussionmentioning

confidence: 99%

Are the Sundarbans, the World's largest mangroves region under threat?—An ecosystem‐based geospatial approach to assess changes past, present, and future in relation to natural and human‐induced factors

et al. 2022

View full text Add to dashboard Cite

The World's most extensive mangrove region, the Sundarbans ecosystem, is highly biodiverse but severely stressed. Past, present, and future potential changes in Sundarbans mangroves have been assessed from multi-temporal satellite data of 1980, 2000, and 2020, elevation data, and topographical maps using geospatial techniques, digital shoreline analysis system, land change modelling, and ground truth verification. The mangrove loss was 16,025 ha between 1980 and 2020 and is predicted to be 22,286 ha between 2020 and 2050. Major changes were observed in mangroves, waterbodies, mudflats, agriculture, and aquaculture. The shoreline change by endpoint rate indicated the erosion rate by 5.81 m yr À1 in 2000-2020 compared to À0.90 m yr À1 in 1980-2000. The weighted linear regression indicated the average erosion and accretion rate of À5.96 m-yr À1 and 4.92 m yr À1 , respectively, with erosion in 76% of transects and accretion in the remaining 24% between 1980 and 2020.A sea-level rise by 1 m will inundate 17,486 ha of mangroves. The finding revealed the dynamic nature of mangroves, past and expected future loss, the severely eroding transects, hotspots, and the consequences of mangrove loss on depending the population. As fringe mangroves will be at greater risk, speedy measures are needed to stabilize the highly eroding regions.climate change vulnerability, geographical information system (GIS), natural and anthropogenic factors, sea-level rise, shoreline change, Sundarban mangroves | INTRODUCTIONMangroves are carbon-rich ecosystems that thrive in intertidal coastal saline zones or brackishwater. They protect the coast from hurricanes, tsunamis, and shoreline erosion, serve as breeding grounds for many shrimps and finfishes, offer medicine, firewood, food, and building construction materials for the local population (Dasgupta et al., 2019;Giri et al., 2007;Menéndez et al., 2020). Despite their importance for maintaining biodiversity, coastal ecology, and supporting local livelihoods, mangroves are greatly threatened across the globe (Friess et al., 2019). The development of satellite, remote sensing, and geospatial analysis software have helped researchers and environmentalists to assess mangrove dynamics and deforestation. Due to timeseries data generation capability, remote sensing science has become

show abstract

“…The test is performed using the Kappa Index to assess model accuracy. In remote sensing, image interpretation requires an accuracy test [7]. The classification algorithm's accuracy and validity are evaluated using the Kappa method.…”

Section: Data Preparation and Analysismentioning

confidence: 99%

Using Geographic Information System Technology for Land-Use Modelling on Developing area of Tanah Datar Sumatera Barat

Antomi

Koestoer²,

Arif

et al. 2023

TEM Journal

View full text Add to dashboard Cite

GIS technology has advanced rapidly in recent decades to become a standard tool for managing and analyzing spatial data to solve spatial problems. Spatial modelling is one of the GIS products that can be used as a reference for future policy development for effective spatial management. This research aims to create land use models for the Tanah Datar area of West Sumatra in 2025 and 2035. The model is created using the Cellular Automata method and remote sensing data. The land use data from 1989 and 2002 became the model's base year, and 2019 served as the basis for testing the model's accuracy. According to the modelling results, there are several trends in land use change. Dryland agriculture expanded significantly, indicating an improvement in the pattern of agricultural land use. This condition suggests that regional development should focus more on potential and good spatial management.

show abstract

Multi-decadal land cover change analysis over Sundarbans Mangrove Forest of Bangladesh: A GIS and remote sensing based approach

Cited by 26 publications

References 49 publications

Response Mechanism of Leaf Area Index and Main Nutrient Content in Mangrove Supported by Hyperspectral Data

Response Mechanism of Leaf Area Index and Main Nutrient Content in Mangrove Supported by Hyperspectral Data

Are the Sundarbans, the World's largest mangroves region under threat?—An ecosystem‐based geospatial approach to assess changes past, present, and future in relation to natural and human‐induced factors

Using Geographic Information System Technology for Land-Use Modelling on Developing area of Tanah Datar Sumatera Barat

Contact Info

Product

Resources

About