大气调整对 WorldView-2 图像中的海草密度的分类和量化影响
Victoria J Hill1, Richard C Zimmerman1, Paul Bissett2
1Department of Ocean and Earth Sciences, Old Dominion University, Norfolk, VA 23529, USA.
Remote sensing
|February 16, 2024
概括
大气校正方法影响海草绘图的准确性. 暗物体减去 (DOS) 将海草叶面积指数 (LAI) 估计值降低了50%,突出了改善蓝色碳评估大气校正的需要.
科学领域:
- 遥感是一种远程传感.
- 海洋生态海洋生态学
- 蓝碳科学 蓝碳科学
背景情况:
- 准确的海草测绘对于全球蓝色碳估计至关重要.
- 卫星图像中的大气干扰会影响海草检测和密度评估.
- 世界视图2图像用于绘制海草分布和碳库存的地图.
研究的目的:
- 评估大气校正方法对使用WorldView-2图像的海草绘制的影响.
- 为了比较实证线高度 (ELH) 和暗物体减法 (DOS) 的有效性,用于海草分析.
- 开发一种方法来纠正海草叶面积指数 (LAI) 和地表碳 (AGC) 估计中的低估值.
主要方法:
- 使用ELH和DOS方法对WorldView-2图像进行大气校正.
- 在现场测量放出水的辐射,光学特性和海草LAI的收集.
- 校正和未经校正的数据之间的海草分类准确性和LAI检索的比较.
主要成果:
- DOS校正导致蓝色和绿色带的剩余亮度,但对海草分类的影响很小.
- 与ELH纠正的图像和地面数据相比,DOS纠正的图像显示LAI检索减少了多达50%.
- ELH校正提供了更准确的LAI检索,更好地与现场观测保持一致.
结论:
- 大气纠正不完全,特别是DOS,导致海草LAI和相关的蓝色碳被低估.
- 该研究提供了一种方法来纠正LAI低估,以改善海草密度和从卫星数据中检索蓝色碳.
- 准确的大气校正对于可靠的海草监测和使用遥感测量蓝碳量化至关重要.
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