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Vol. 3 No. 2 (2019): NOVEMBER

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Mangrove Mapping and Above-Ground Biomass Change Detection using Satellite Images in Coastal Areas of Thai Binh Province, Vietnam

https://doi.org/10.24259/fs.v3i2.7326
Long Duc Nguyen
Vietnam Academy of Forest Sciences
Cuong Trong Nguyen
Vietnam National University of Forestry
Hoa Sy Le
Vietnam National University of Forestry
Bao Quang Tran
Vietnam National University of Forestry

Corresponding Author(s) : Bao Quang Tran

baofuv@vnuf.edu.vn

Forest and Society, Vol. 3 No. 2 (2019): NOVEMBER

Abstract

Mangroves are recognized as a highly valuable resource due to their provision of multiple ecosystem services. Therefore, mangrove ecosystems mapping and monitoring is a crucial objective, especially for tropical regions. Thai Binh province is one of the most important mangrove ecosystems in Vietnam. The mangrove ecosystem in this province has faced threats of deforestation from urban development, land reclamation, tourism activities, and natural disasters. Recently, to maintain the fundamental functions of the ecosystems, a large mangrove area was planted in Thai Binh. The aim of this research is to detect the change in the mangrove areas and to create an aboveground biomass map for mangrove forests in Thai Binh province. Landsat and Sentinel-2 satellite images from 1998 to 2018 were analysed using the supervised classification method to detect mangrove area change. Mangrove Above-ground Biomass (AGB) was estimated using linear regression between vegetation indices and field AGB survey. The accuracy assessment for the classified images of 1998, 2003 and 2007, 2013 and 2018 are 93%, 86%, 96%, 94% and 91% respectively with kappa of 0.8881, 0.7953, 0.9357, 0.9114 and 0.8761. The mangrove cover in the study area was estimated at 5874.93 ha in 1998. This figure decreased significantly to 4433.85 ha in 2007, before recovery began to take place in the study area, which was estimated at 6587.88 ha in 2018. In 1998, the average AGB in this study area was 22.57 ton/ha, and in 2018 it was 37.74 ton/ha with a standard error of 12.41 ton/ha and the root mean square error (RMSE) was ±12.08 ton/ha.

Keywords

Above Ground Biomass Mangroves Change Detection Remote Sensing
Nguyen, L. D., Nguyen, C. T., Le, H. S., & Tran, B. Q. (2019). Mangrove Mapping and Above-Ground Biomass Change Detection using Satellite Images in Coastal Areas of Thai Binh Province, Vietnam. Forest and Society, 3(2), 248-261. https://doi.org/10.24259/fs.v3i2.7326
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Author Biographies

Long Duc Nguyen, Vietnam Academy of Forest Sciences
Non-Timber Forest Products Research Center
Cuong Trong Nguyen, Vietnam National University of Forestry
Faculty of Forest Resources and Environmental Management
Hoa Sy Le, Vietnam National University of Forestry
Institute of Forest Ecology and Environment
Bao Quang Tran, Vietnam National University of Forestry
Faculty of Forest Resources and Environmental Management
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