Assessing changes in mangrove forest cover and carbon stocks in the Lower Mekong Region using Google Earth Engine

Megha Bajaj , Nophea Sasaki , Takuji W. Tsusaka , Manjunatha Venkatappa , Issei Abe , Rajendra P. Shrestha
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Abstract

The Lower Mekong Region (LMR) faces significant loss of mangrove forests, yet limited studies have explored this decline in the region. Here, we employ Google Earth Engine and Landsat satellite imagery to assess changes in mangrove forest cover across Myanmar, Thailand, Vietnam, and Cambodia between 1989 and 2020, with a five-year interval. Accordingly, we estimated carbon stock changes due to changes of forest cover. Our analysis yielded an overall average accuracy of 92.10% and an average kappa coefficient of 0.89 across the four countries. The findings reveal a 0.9% increase in mangrove area in Myanmar, 2.5% in Thailand, and 1.3% in Cambodia, while Vietnam experienced a 0.2% loss annually between 1989 and 2020. Carbon stocks in mangrove forests were estimated at 577.0 ​Tg of carbon or TgC, 250.0 TgC, 61.6 TgC, and 269.0 TgC in 1989 for Myanmar, Thailand, Cambodia, and Vietnam respectively, and increased to 736.0 TgC, 443.0 TgC, 86.7 TgC, and 254 TgC in 2020. Increase in mangrove areas resulted in carbon removals of 42.8 TgCO2 year−1 over the same period above. Depending on policies in these respective countries, such carbon removals could be used to claim for result-based payment under the REDD ​+ ​scheme of the United Nations Framework Convention on Climate Change.

利用谷歌地球引擎评估湄公河下游地区红树林覆盖率和碳储量的变化
湄公河下游地区(LMR)面临着红树林大量减少的问题,但对该地区红树林减少情况的研究却十分有限。在此,我们利用谷歌地球引擎和大地遥感卫星图像评估了 1989 年至 2020 年间缅甸、泰国、越南和柬埔寨红树林覆盖率的变化,间隔时间为五年。据此,我们估算了森林覆盖率变化引起的碳储量变化。我们的分析结果表明,四个国家的总体平均准确率为 92.10%,平均卡帕系数为 0.89。研究结果表明,1989 年至 2020 年间,缅甸的红树林面积增加了 0.9%,泰国增加了 2.5%,柬埔寨增加了 1.3%,而越南则每年减少 0.2%。据估计,1989 年缅甸、泰国、柬埔寨和越南红树林的碳储量分别为 577.0 Tg(TgC)、250.0 TgC、61.6 TgC 和 269.0 TgC,2020 年分别增至 736.0 TgC、443.0 TgC、86.7 TgC 和 254 TgC。在上述同期,红树林面积的增加导致每年碳清除量达到 42.8 TgCO2-1。根据这些国家各自的政策,这些碳清除量可用于根据《联合国气候变化框架公约》的 REDD + 计划申请基于结果的付款。
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