越南的土地使用和土地覆盖的分类以及陆地生态系统的碳储存变化,基于哨兵图像
Yang Liu1,2, Kun Yang3,4, Zongqi Peng5,6
1Faculty of Geography, Yunnan Normal University, Kunming, 650500, China.
Scientific reports
|July 2, 2025
概括
越南 越南 越南 越南
科学领域:
- 遥感和地理空间分析
- 环境科学与碳库存估计
- 土地使用和土地覆盖变化 (LULC) 动态
背景情况:
- 越南作为主要大米出口国的角色,需要对碳中和目标进行准确的土地覆盖监测.
- 森林砍伐和工业化对越南的环境可持续性和碳储量构成挑战.
- 现有的土地覆盖地图缺乏对越南详细碳库存评估所需的准确性.
研究的目的:
- 使用谷歌地球引擎 (GEE) 为越南开发一个改进的土地覆盖分类方法.
- 估计和分析2015年至2023年的碳库存变化.
- 确定影响土地覆盖和碳库存变化的关键驱动因素.
主要方法:
- 开发了一种新的土地覆盖分类技术,利用来自Sentinel-1和Sentinel-2数据的米现象特征.
- 利用InVEST模型进行碳库存估计和时空分析.
- 使用地理探测器 (Geo-Detector) 来量化LULC和碳库存变化的驱动因素.
主要成果:
- 新的分类方法实现了超过90%的准确性,超过了全球土地覆盖数据集的性能,并改善了耕地识别.
- 越南在2015年至2023年期间经历了森林和耕地面积的减少,同时草原,建筑用地,裸露土地和水体的增加.
- 发现自然因素 (坡度,高度,温度) 对LULC分布的影响比人类活动更大;人口和经济对建筑用地扩张产生了重大影响.
结论:
- 开发的土地覆盖分类方法为越南多样化的景观提供了卓越的准确性.
- 越南的碳储量平均为2.312亿,从2015年至2023年年均下降0.63%,这凸显了有针对性的保护战略的必要性.
- 准确的土地覆盖数据对于精确的碳库存评估至关重要,对于实现越南碳中和目标至关重要.
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