基于Landsat数据的南京市植被覆盖度动态监测与评估文献综述

 2022-08-03 11:22:20

Mapping major land cover dynamics in Beijing using all Landsat images in Google Earth Engine

基于谷歌地球引擎中的大地卫星图像绘制北京主要土地覆盖动态分析

Huabing Huang a, ⁎ , Yanlei Chen b , Nicholas Clinton c , Jie Wang a , Xiaoyi Wang a , Caixia Liu a , Peng Gong d ,Jun Yang d , Yuqi Bai d , Yaomin Zheng a , Zhiliang Zhu

keywords

关键词

Vegetation dynamics、Land cover change、Urbanization、Afforestation

植被动态变化、土地覆盖变化，城市化、植树造林

A B S T R A C T摘要

Land cover in Beijing experienced a dramatic change due to intensive human activities, such as urbanization and afforestation. However, the spatial patterns of the dynamics are still unknown. The archived Landsat images provide an unprecedented opportunity to detect land cover changes over the past three decades. In this study, we used the Normalized Difference Vegetation Index (NDVI) trajectory to detect major land cover dynamics in Beijing. Then, we classified the land cover types in 2015 with the Google Earth Engine (GEE) cloud calculation. By overlaying the latest land cover types and the spatial distribution of land cover dynamics, we determined the main types where a land cover change occurred. The overall change detection accuracy for three types (vegetation loss associated with negative change in NDVI, vegetation gain associated with positive change in NDVI, and no changes) is 86.13%.We found that the GEE is a fast and powerful tool for land cover mapping, and we obtained a classification map with an overall accuracy of 86.61%. Over the past 30 years, 1402.28km 2 of land was with vegetation loss and 1090.38 km 2 of land was revegetated in Beijing. The spatial pattern of vegetation loss and vegetation gain shows significant differences in different zones from the center of the city. We also found that 1162.71 km 2 of land was converted to urban and built-up, whereas 918.36 km 2 of land was revegetated to cropland, shrub land, forest, and grassland. Moreover, 202.67km 2 and 156.75km 2 of the land was transformed to forest and shrub land in the plain of Beijing that were traditionally used for cropland and housing.

由于密集的人类活动如城市化和植树造林，北京的土地覆盖经历了一个动态的变化过程。然而，动态变化的空间格局尚未可知。存档的陆地卫星影像图片提供了一个前所未有的机会去探索过去30年的土地覆盖变化。在这项研究中，利用归一化差值植被指数（简称NDVI）轨迹去探索北京的主要土地覆盖动态变化。然后，利用谷歌地球引擎云计算对2015年土地覆盖类型进行分类。通过与最近土地覆盖类型和土地覆盖动态变化的空间分布进行叠加，我们查明了发生土地覆盖变化的主要类型。三种类型（在NDVI中，植被减少为负面变化，植被增加为正面变化，以及没有变化）综合变化调查的准确度为86.61%。在过去30年中，北京有1402.28平方千米的土地上植被覆盖减少，1090.38平方千米的土地植被恢复。植被减少和增加的空间模型展示了城市中心不同地区的显著变化。我们也发现有1162.71平方千米的土地转而用于城市化和城市建设，尽管已有918.36平方千米的土地重新被植被覆盖，形成农田，灌木林地，森林和草地。另外，在北京的平原中202.67平方千米和156.75平方千米转变为森林和灌木林的土地是过去通常用于农田和建房的土地。

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