区域范围的森林地表生物质绘制,使用时间一致的ICESat-2,Landsat和现场库存数据
Kasip Tiwari1, Lana L Narine2, Adam Maggard2
1The Timberland Group Forestry Services Limited Liability Company, Atlanta, Georgia.
PloS one
|September 11, 2025
概括
准确地绘制森林生物质地图对于碳储存至关重要. 这项研究结合了Landsat和ICESat-2数据,发现支持向量机回归Kriging是估计美国东南部森林地面生物质的最佳方法.
科学领域:
- 林业和遥感 林业和遥感
- 地理空间分析的研究.
- 生态生态学 生态生态学
背景情况:
- 准确估计森林地表生物质 (AGB) 对于了解碳储存,生态系统健康和生物多样性至关重要.
- 美国东南地区的森林对碳捕获具有重要意义,但大面积的AGB测绘面临着挑战.
- 最近的地球观测任务为植被特征提供了新的机会.
研究的目的:
- 评估Landsat和ICESat-2数据对区域AGB估计的协同效用.
- 通过使用卫星衍生变量来确定AGB估计的最佳建模技术.
- 开发美国东南部森林的高分辨率AGB基线地图.
主要方法:
- 机器学习 (随机森林,支持矢量机) 和地理统计 (Kriging) 方法的比较.
- 使用ICESat-2天花板高度,Landsat图像,数字海拔模型和天花板覆盖数据.
- 在大约254,266平方公里范围内开发和验证了AGB模型.
主要成果:
- 支持向量机回归造 (SVMRK) 证明了卓越的性能 (R2 = 0.61,RMSE = 23.99 Mg/ha).
- 模型实现了R2值从0.34到0.61和RMSEs在22到31Mg/ha之间.
- 为2020年生成了一个30米分辨率的AGB基线图.
结论:
- 联合使用Landsat和ICESat-2数据为大面积的AGB绘图提供了一种可行的方法.
- SVMRK是一种高效的方法,用于整合各种数据源用于AGB估计.
- 生成的AGB地图作为区域森林监测的有价值的基线.
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