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Spatial distribution of Crofton weeds in southwest China with MODIS NDVI of long time series

机译:长时间序列MODIS NDVI在中国西南克罗弗顿杂草的空间分布

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Crofton weed, which was introduced to the southwest of China in the 1940s via the border between China and Burma, now has a seriously damaging effect on the biodiversity and the living environment in those regions, including Yunnan, Sichuan, Guizhou, Guangxi, Tibet, Chongqing, and Hubei. To help monitor this situation effectively, there have been many researches that utilize remote sensing images to identify the spread of Crofton weed. However, most of these researches found it difficult to identify Crofton weed because it is mixed and entangled with a large number of other vegetation. In our research, data processing includes three steps: 1) Retrieving the spectral feature values of Crofton weed at the different growth stages through long time regional sampling; 2) Comparing the NDVI of Crofton weeds, forests, crops, water bodies, residential areas in the typical sampling regions by using the time series data of remote sensing images; and finally, 3) Classifying the remote sensing images of the research regions according to the distinctive features of NDVI curves based on the time series data. The outcome of following these three data processing steps is a relatively accurate classification result, which produces a high-accuracy distribution map of the Crofton weed.
机译:Crofton杂草于1940年代通过中国和缅甸的边界传入中国西南部,如今对云南,四川,贵州,广西,西藏,重庆和湖北。为了帮助有效地监视这种情况,已有许多研究利用遥感图像来识别Crofton杂草的扩散。但是,大多数研究发现很难识别Crofton杂草,因为它与大量其他植被混合并纠缠在一起。在我们的研究中,数据处理包括三个步骤:1)通过长时间的区域采样来检索不同生长阶段的Crofton杂草的光谱特征值; 2)利用遥感影像的时间序列数据,比较典型采样区内的克罗夫顿杂草,森林,农作物,水体,居民区的NDVI;最后,根据时间序列数据,根据NDVI曲线的鲜明特征,对研究区域的遥感图像进行分类。遵循这三个数据处理步骤的结果是一个相对准确的分类结果,从而产生了Crofton杂草的高精度分布图。

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