使用Sentinel-1卫星图像来量化油棕种植:喀麦隆的一个案例研究
Christopher Chalmers1, Elizabeth D Crook1, Ada N Acobta1
1Department of Earth System Science, University of California, Irvine, Irvine, California, United States of America.
PloS one
|December 31, 2025
概括
喀麦隆的油棕种植正在迅速扩大,在2015年至2025年期间,研究区域的油棕种植增加了13-55%. 这种农业扩张显著影响了森林覆盖面,特别是在南方地区.
科学领域:
- 环境科学 环境科学
- 遥感 遥感 遥感 遥感
- 农业科学 农业科学
背景情况:
- 全球热带森林砍伐正在增加,威胁着生态系统和服务.
- 棕油的高需求推动了热带地区的农业扩张.
- 喀麦隆面临的经济依赖棕树的扩张,冒着森林覆盖面的风险.
研究的目的:
- 从2015年到2025年,量化喀麦隆棕油面积的变化.
- 评估棕油扩张对森林覆盖面的影响.
- 评估Sentinel-1SAR数据和随机森林监测的实用性.
主要方法:
- 采用了"卫星卫星-1"合成孔径雷达 (SAR) 卫星数据.
- 采用随机森林机器学习算法进行土地覆盖分类.
- 针对喀麦隆的关键地区进行了集中分析,以进行详细的量化.
主要成果:
- 在2015年至2025年间,油棕种植在分析区域增长了13-55%.
- 由于棕油的扩张,南方地区的森林覆盖面变化最为显著.
- 证实了"哨兵一号"和"随机森林"的监测效果.
结论:
- 棕油的扩张是喀麦隆森林砍伐的一个重要驱动因素.
- 遥感和机器学习是跟踪农业影响的有效工具.
- 可持续的土地利用规划对于减轻棕油生产地区的森林砍伐至关重要.
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