Divisão de Sensoriamento Remoto, Instituto Nacional de Pesquisas Espaciais, São José dos Campos - SP, Brazil.
Department of Geographical Sciences, University of Maryland, College Park, Maryland, MD 20740, USA.
Sensors (Basel). 2019 Nov 18;19(22):5020. doi: 10.3390/s19225020.
Open global forest cover data can be a critical component for Reducing Emissions from Deforestation and Forest Degradation (REDD+) policies. In this work, we determine the best threshold, compatible with the official Brazilian dataset, for establishing a forest mask cover within the Amazon basin for the year 2000 using the Tree Canopy Cover 2000 GFC product. We compared forest cover maps produced using several thresholds (10%, 30%, 50%, 80%, 85%, 90%, and 95%) with a forest cover map for the same year from the Brazilian Amazon Deforestation Monitoring Project (PRODES) data, produced by the National Institute for Space Research (INPE). We also compared the forest cover classifications indicated by each of these maps to 2550 independently assessed Landsat pixels for the year 2000, providing an accuracy assessment for each of these map products. We found that thresholds of 80% and 85% best matched with the PRODES data. Consequently, we recommend using an 80% threshold for the Tree Canopy Cover 2000 data for assessing forest cover in the Amazon basin.
开放的全球森林覆盖数据可以成为减少毁林和森林退化所致排放（REDD+）政策的一个关键组成部分。在这项工作中，我们使用 2000 年树冠覆盖物产品，确定了与官方巴西数据集兼容的最佳阈值，以便在亚马逊流域内建立 2000 年的森林掩模覆盖。我们将使用几种阈值（10%、30%、50%、80%、85%、90%和 95%）生成的森林覆盖图与巴西亚马逊毁林监测项目（PRODES）同年的森林覆盖图进行了比较，该图由国家空间研究所（INPE）生成。我们还将每个地图的森林覆盖分类与 2000 年的 2550 个独立评估的陆地卫星像素进行了比较，为每个地图产品提供了准确性评估。我们发现，80%和 85%的阈值与 PRODES 数据最为匹配。因此，我们建议在评估亚马逊流域的森林覆盖时，对 2000 年树冠覆盖物数据使用 80%的阈值。
