Sentinel-2数据在森林覆盖变化自动评估中的应用——Białowież原始森林案例研究

IF 0.6 Q4 ENGINEERING, CIVIL Civil and Environmental Engineering Reports Pub Date : 2021-12-01 DOI:10.2478/ceer-2021-0054
R. Pelc-Mieczkowska
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引用次数: 0

摘要

摘要哨兵2号任务是欧洲航天局地球观测计划哥白尼的一部分,专门为地球表面观测设计,提供了13个波段的图像。该图像用于分析土地监测、应急管理、安全和气候变化等许多主题领域。本文分析了Sentinel-2数据在森林覆盖变化自动检测中的应用。作为输入数据,B02、B03、B04和B08波段已被用于计算归一化差异植被指数(NDVI)和增强归一化差异植被指标(ENDVI)。为了跟踪森林覆盖率多年来的变化,对每个像素计算了连续年份之间植被指数值的差异。然后将阈值设置在0.15的水平。高于阈值的差异值意味着植被质量显著下降,可以被视为森林砍伐地区。
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The Application of Sentinel-2 Data for Automatic Forest Cover Changes Assessment – Białowieża Primeval Forest Case Study
Abstract Sentinel-2 mission, as a part of European Space Agency Earth Observation Program Copernicus, designed specifically for Earth surface observations provides images in 13 bands. That imaging is used to analyse many subject areas as Land monitoring, Emergency management, Security and Climate change. In the presented paper the application of Sentinel-2 data for automatic forest cover changes detection has been analysed. As input data, B02, B03, B04 and B08 bands have been used to compute Normalized Difference Vegetation Index (NDVI) and Enhanced Normalized Difference Vegetation Index (ENDVI). To track changes in the forest cover over the years, for each pixel the difference in the value of vegetation indices between consecutive years have been calculated. Then the threshold was set at the level of 0.15. The values of differences above the threshold mean a significant decrease in the quality of vegetation and may be considered areas of deforestation.
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14.30%
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审稿时长
52 weeks
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