基于Sentinel-2遥感影像的植被覆盖度反演及变化分析——以上海市奉贤区为例
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杜俊翰1997年生/男/四川南充人/华东师范大学地理科学学院硕士在读/研究方向为遥感数据信息提取与分析(上海200241)

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Inversion and Change Analysis of Vegetation Coverage Based on Sentinel-2 Remote Sensing Image —A Case Study of Fengxian District, Shanghai
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    摘要:

    植被覆盖度可以较好反映一个地区的植被生长状况,是衡量地面植被生长特征的一个重要指标。本文通过研究2017-2020年间上海市奉贤区的Sentinel-2遥感数据,利用归一化植被指数(NDVI)以及像元二分模型对该区域内植被覆盖度进行估算,并对植被覆盖度和相应的景观格局指数的变化进行了分析。结果表明,2017-2020年间奉贤区植被覆盖度呈现较为明显的变化,低等级植被覆盖度区域面积增加,高等级植被覆盖度区域面积减少,植被覆盖度总体呈减少趋势。

    Abstract:

    Vegetation coverage can well reflect vegetation’s growth status in an area and is an important indicator to measure the growth characteristics of ground vegetation. Based on the Sentinel-2 remote sensing data of Fengxian District, Shanghai from 2017 to 2020, this paper used a normalized vegetation index (NDVI) and the binary pixel model to estimate the vegetation coverage area. Moreover, it analyzed the changes in vegetation coverage and the corresponding landscape pattern index. The results showed that the vegetation coverage of Fengxian District had changed significantly from 2017 to 2020. The low-grade vegetation coverage area increased, while the size of high-level vegetation coverage decreased, and the vegetation coverage generally showed a decreasing trend.

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  • 在线发布日期: 2020-12-16
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