结构复杂性偏差 植被 绿色 措施 措施
Yelu Zeng1,2, Dalei Hao3, Taejin Park4,5
1College of Land Science and Technology, China Agricultural University, Beijing, China. zengyelu123@gmail.com.
Nature ecology & evolution
|September 14, 2023
概括
复杂的森林结构的阴影比作物阴影更多地减少了卫星观测的植被绿色 (VIs). 这就解释了为什么在森林中VIs的出现率低于作物,影响了全球植被评估.
科学领域:
- 地球观测 地球观测
- 生态生态学 生态生态学
- 遥感 遥感 遥感 遥感
背景情况:
- 植被的绿色,用光谱植被指数 (VIs) 测量,反映了叶子的丰富和健康.
- 矛盾的是,卫星VI显示亚马逊热带雨林的价值低于美国玉米带作物,尽管森林叶面积更大.
研究的目的:
- 调查森林和作物之间矛盾的VI背后的驱动因素.
- 评估阴影对VI的影响及其对全球植被监测的影响.
主要方法:
- 在美国玉米带和亚马逊雨林上分析了卫星衍生的VI.
- 研究了来自不同结构复杂性的宏观影子的影响 (森林与作物).
- 检查了太阳传感器几何在影子检测中的作用.
主要成果:
- 复杂的森林结构产生宏观的阴影,与同质作物相比,显著降低VI测量.
- 这种阴影效应是卫星观测几何学的固有工件.
- 在亚马逊地区,土地从森林转化为作物显示,尽管叶面积减少,但VI增加.
结论:
- 影子是一个关键的,往往被忽视的因素,解释基于卫星的VI.
- 对VI和太阳引起的叶绿素光的误解可能会出现,而不考虑阴影影响.
- 准确的全球植被评估需要将影子效应纳入遥感数据分析.
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