Abstract：
The term forest canopy density (FCD) refers to one of the important criteria used to evaluate forest\'s ecological health. It plays a significant role in assessing the health of the forest and serves as a key landmark for potential management actions. The canopy coverage or crown cover is referred to the percentage of the forest floor that is covered by the vertical projection of tree crowns and necessary for monitoring the condition of the forest. The present study aims to estimate the forest canopy density (FCD) through Geospatial Techniques for Sathyamangalam Forest for the period between 2016 and 2022 with SENTINEL 2A satellite data. The weighted overlay analysis method was implemented with biophysical parameters, namely, Normalize Difference Vegetation Index (NDVI), Advanced Vegetation Index (AVI), Shadow Index (SI), and Soil Bareness Index (SBI) to analyze the state of the forest and its activity. The results observed significantly that the forest canopy with 158.60 km2 in 2016 which is increased to 190.37 km2 in 2018 (1.14%) then suddenly decreased to 134.85 km2 in 2020 (2.47%). The forest canopy has recovered some of its original area with 168.83 km2 through better environmental conditions during 2021-2022 (1.52%). Therefore, Geospatial Technology plays a significant role in estimating recent changes in regional forest.
摘要：
林冠密度(FCD)是评价森林生态健康的重要指标之一。它在评估森林健康方面发挥着重要作用，并成为潜在管理行动的关键里程碑。冠层覆盖率或树冠覆盖率是指被树冠的垂直投影覆盖的森林地面的百分比，并且是监测森林状况所必需的。本研究旨在通过SENTINEL2A卫星数据，通过2016年至2022年期间的Sathyamangalam森林地理空间技术估算森林冠层密度（FCD）。用生物物理参数实现了加权叠加分析方法，即,归一化植被指数（NDVI），先进植被指数（AVI），阴影指数(SI)，和土壤认知度指数(SBI)来分析森林状况及其活动。结果显着观察到，2016年的森林冠层为158.60km2，2018年增加到190.37km2（1.14％），然后在2020年突然减少到134.85km2（2.47％）。在2021-2022年期间，通过更好的环境条件（1.52％），森林冠层恢复了部分原始面积，面积为168.83km2。因此,地理空间技术在估计区域森林的最新变化中起着重要作用。
