Abstract

Vietnam secures a place among the top countries that possess the largest mangrove areas worldwide. The mangrove forests are mainly found in the Northern, Northeast, Central and Southern Delta, providing goods to habitants, and make significant help mitigate global climate change. Despite this, mangroves are severely threatened because of extensive deforestation in Vietnam. Recent advances have utilized remotely sensed imagery to present the spatial and temporal distribution of mangroves. Nevertheless, the approach is limited by imagery availability and computing resources, and difficult to share within the community. Therefore, a shareable Web-based tool that reinforces coastal managers to monitor the changes in mangroves is needed. Recently, Google Earth Engine (GEE) is a cloud-based geospatial analysis platform, which allows users to freely exploit the availability of satellite imagery and harness their computing capacity. This research aims to use GEE to detect mangrove changes, a case study in Tien Yen district, Quang Ninh, over a period from 2010 to 2020. Four supervised classification algorithms, including Random Forest (RF), Support Vector Machine (SVM), Naïve Bayes classifier, and Classification and Regression Trees (CART) have been implemented on GEE platform to select the best algorithm to produce spatial-temporal mangrove maps, then change detection of mangroves is performed. The results showed that RF demonstrated the highest accuracy with overall accuracy and kappa values of 91.04% and 0.75 respectively. The mangrove areas statistically reported by the GEE-based platform are in line with the governmental statistic report annually, marking the capabilities of GEE in natural resource management.

Details

Title
Google Earth Engine-based Mangrove Mapping and Change Detections for Sustainable Development in Tien Yen District, Quang Ninh Province, Vietnam
Author
Manh Ha Nguyen 1 ; Nguyen, Ngoc Thang 1 ; Gabriel Yedaya Immanuel Ryadi 2 ; Manh Van Nguyen 3 ; Thi Loi Duong 3 ; Chao-Hung, Lin 2 ; Nguyen, Thanh Binh 1 

 Institute of Geography, Vietnam Academy of Science and Technology, Vietnam; Institute of Geography, Vietnam Academy of Science and Technology, Vietnam 
 Department of Geomatics, National Cheng Kung University, Taiwan; Department of Geomatics, National Cheng Kung University, Taiwan 
 Faculty of Geography, Hanoi National University of Education, Vietnam; Faculty of Geography, Hanoi National University of Education, Vietnam 
Pages
119-125
Publication year
2024
Publication date
2024
Publisher
Copernicus GmbH
ISSN
21949042
e-ISSN
21949050
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3126763697
Copyright
© 2024. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.