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Distribution and Variation of Forests in China from 2001 to 2011: A Study Based on Remotely Sensed Data

机译:2001-2011年中国森林分布与变化:基于遥感数据的研究

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Forests are one of the most important components of the global biosphere and have critical influences on the Earth’s ecological balance. Regularly updated forest cover information is necessary for various forest management applications as well as climate modeling studies. However, map products are not widely updated at continental or national scales because the current land cover products have overly coarse spatial resolution or insufficiently large training data sets. This study presents the results of forests distribution and variation information over China using Moderate Resolution Imaging Spectroradiometer (MODIS) Normalized Difference Vegetation Index (NDVI) time series data with the first layer of MODIS Land Cover Type product (MODIS LC-1). The NDVI time series histogram characteristic curves for forestland were estimated from MODIS LC-1 and MODIS NDVI time series data. Based on the differences of histograms among different forests, we obtained the 2001–2011 forests distribution for China at a spatial resolution of 500-m × 500-m. The overall accuracy of validation was 80.4%, an increase of 12.8% relative to that obtained using MODIS LC-1 data. The 2001–2011 forestland pure and mixed pixels of China accounted for an average of 33.72% of all pixels. There is a gradual increase in China’s forestland coverage during 2001–2011; however, the relationship is not statistically significant.
机译:森林是全球生物圈最重要的组成部分之一,对地球的生态平衡具有至关重要的影响。定期更新的森林覆盖率信息对于各种森林管理应用程序以及气候模型研究而言是必要的。但是,由于当前的土地覆盖产品的空间分辨率过大或训练数据集不足,因此地图产品并未在大陆或国家范围内得到广泛更新。本研究使用中等分辨率成像光谱仪(MODIS)归一化植被指数(NDVI)时间序列数据和MODIS土地覆盖类型产品(MODIS LC-1)的第一层数据,介绍了中国森林的分布和变化信息。根据MODIS LC-1和MODIS NDVI时间序列数据估算了林地的NDVI时间序列直方图特征曲线。根据不同森林之间直方图的差异,我们获得了2001-2011年中国森林分布,其空间分辨率为500-m×500-m。验证的总体准确性为80.4%,相对于使用MODIS LC-1数据获得的准确性提高了12.8%。 2001年至2011年,中国林地的纯像素和混合像素平均占所有像素的33.72%。在2001年至2011年期间,中国的林地覆盖面积逐渐增加;但是,该关系在统计上并不显着。

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