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首页> 外文期刊>Advances in Remote Sensing >Comparison of a New Percent Tree Cover Dataset with Existing One and Categorical Land Cover Datasets in Eurasia
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Comparison of a New Percent Tree Cover Dataset with Existing One and Categorical Land Cover Datasets in Eurasia

机译：将新百分比的树木覆盖数据集与欧亚大陆的现有和分类陆地覆盖数据集进行比较

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The global tree cover percentage is an important parameter used to understand the global environment. However, the available percent tree cover products on global or continental-scale are few, and efforts to quantitatively validate these maps have been limited. We produced a new percent tree cover dataset at 500 m resolution in 2008 for Eurasia using reference data interpreted from Google Earth. It is a part of percent tree cover (PTC) data in Global Mapping project. In this study, the dataset was compared with existing global percent tree cover dataset, MODIS Vegetation Continuous Fields, MOD44B. We assessed the agreement of these datasets with two existing global categorical land cover datasets and statistic data in Eurasia. The result showed that estimates of tree cover in our new map and MOD44B were relatively similar at randomly sampled sites. Our map and MOD44B agreed with either or both of land cover maps at 93% of sites and 91% of sites, respectively, for pixel blocks. However, we found that MOD44B disagreed with our map and categorical land cover datasets at about half of the sampled sites where the difference of tree cover percentage between our map and MOD44B was large, especially in the areas with significant differences (more than 50%). Disagreed areas were concentrated in forests of Russia and Indonesia, and in herbaceous dominated vegetation of UK and Ireland. We also found that both our map and MOD44B were somewhat different from the data reported by FRA 2010.
机译：全局树盖百分比是用于了解全局环境的重要参数。然而，全球或大陆规模的可用百分比树覆盖产品很少，并且努力定量验证这些地图。我们使用从Google地球解释的参考数据制作了2008年为2008年的500米分辨率的新百分比百分比。它是全球映射项目中树覆盖（PTC）数据的一部分。在本研究中，将数据集与现有的全球百分比树覆盖数据集进行比较，Modis植被连续字段，Mod44b。我们评估了这些数据集的协议，其中包含两个现有的全球分类土地覆盖数据集和欧亚大陆的统计数据。结果表明，在随机采样的位置，我们的新地图和Mod44b中的树木覆盖的估计相对相似。我们的地图和Mod44b分别同意93 ％站点的陆地覆盖映射和91 ％的站点，用于像素块。但是，我们发现Mod44b与我们的地图和分类的土地覆盖数据集不同意，在大约一半的采样站点中，我们的地图和Mod44b之间的树木占百分比差异很大，特别是在具有显着差异的区域（超过50 ％） ）。不同意的地区集中在俄罗斯和印度尼西亚的森林中，并在英国和爱尔兰的草本主导植被中。我们还发现，我们的地图和MOD44B都与2010年报告的数据有所不同。

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