基于Sentinel-2A影像的红树林冠层覆盖度估算

Artha Parela, M. Kamal
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引用次数: 0

摘要

监测红树林的状况对于支持有效管理和防止森林退化非常重要。评估红树林退化的一个重要生物物理方面是冠层覆盖度分数(Fcover),它显示了特定地面面积上冠层覆盖度的百分比。本研究的地点是Bedul红树林,这是一个生态旅游区,位于印尼东爪哇的Alas Purwo国家公园。本研究的目的是利用Sentinel-2A图像对Bedul生态旅游区的红树林植被进行估算和绘制。利用半球形相机对红树林冠层进行了原位测量。采用半经验方法对Sentinel-2A图像进行Fcover建模。使用土壤调整植被指数(SAVI)图像作为Sentinel-2A的Fcover模型的代理。通过相关和回归统计分析,确定Fcover场值对与SAVI像素值对之间的关系强度、关系形态和关系方向。建模结果表明,Fcover范围为0 ~ 0.91 (n: 24)。本区红树林的冠层盖度以密级为主,表明红树林状况良好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimation of Mangrove Fractional Canopy Cover using Sentinel-2A Imagery
Monitoring the condition of mangrove forests is very important to support effective management and protect from forests degradation. One important biophysical aspect for assessing mangrove degradation is the fractional canopy cover (Fcover), which shows the percentage of the canopy cover over a specified ground area. The location of this research is Bedul Mangrove which is an ecotourism area located in Alas Purwo National Park, East Java, Indonesia. The aim of this study is to estimate and map the mangrove Fcover in the Bedul ecotourism area using Sentinel-2A imagery. A field survey was carried out to measure in-situ mangrove forest canopy using a hemispherical camera. Semi-empirical approach was used for Fcover modeling of Sentinel-2A image. A Soil Adjusted Vegetation Index (SAVI) image was used as a proxy for Fcover modelling from Sentinel-2A. Statistical analysis of correlation and regression was performed to determine the strength, shape, and direction of the relationship between the pairs of Fcover field values and the SAVI pixel values. The modeling result shows that the Fcover ranges from 0 to 0.91 (n: 24). Mangrove canopy cover in this location is dominated by dense canopy cover classes which indicate that the mangrove forest is in good condition.
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