四川省2009—2020年植被覆盖度时空变化遥感动态监测

何利平; 简季

doi:10.13961/j.cnki.stbctb.2022.02.028

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四川省2009—2020年植被覆盖度时空变化遥感动态监测

试验研究

- 四川省2009—2020年植被覆盖度时空变化遥感动态监测
- Remote Sensing Dynamic Monitoring on Temporal and Spatial Changes of Vegetation Coverage in Sichuan Province from 2009 to 2020
- 水土保持通报 2022年42卷第2期页码：203-209
- 作者机构：
  
  成都理工大学地球科学学院,四川,成都,610059
- 作者简介：
- 基金信息：
  
  国家自然科学基金项目“上下文感知的旅游信息智能推荐方法”(41771444)
- DOI：10.13961/j.cnki.stbctb.2022.02.028
  中图分类号： Q948
- 纸质出版：2022
- 稿件说明：
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何利平, 简季. 四川省2009—2020年植被覆盖度时空变化遥感动态监测[J]. 水土保持通报, 2022,42(2):203-209.

He Liping, Jian Ji. Remote Sensing Dynamic Monitoring on Temporal and Spatial Changes of Vegetation Coverage in Sichuan Province from 2009 to 2020[J]. Bulletin of Soiland Water Conservation, 2022, 42(2): 203-209.
何利平, 简季. 四川省2009—2020年植被覆盖度时空变化遥感动态监测[J]. 水土保持通报, 2022,42(2):203-209. DOI： 10.13961/j.cnki.stbctb.2022.02.028.

He Liping, Jian Ji. Remote Sensing Dynamic Monitoring on Temporal and Spatial Changes of Vegetation Coverage in Sichuan Province from 2009 to 2020[J]. Bulletin of Soiland Water Conservation, 2022, 42(2): 203-209. DOI： 10.13961/j.cnki.stbctb.2022.02.028.

摘要

[目的] 监测和分析四川省2009—2020年植被覆盖度时空变化特征，为定量评估区域生态环境提供重要的基础研究数据，也为城市规划及可持续城市发展提供科学参考。[方法] 借助Google Earth Engine云计算平台，获取了2009—2020年四川省Landsat系列影像，利用像元二分模型对研究区植被覆盖度进行了定量估算。[结果] ①2009—2020年间，四川省主要以高、中高植被覆盖度为主，其面积可达全省面积的80%，而低、中低植被覆盖度面积所占比例低于10%。②从空间上分布，四川省植被覆盖度空间差异比较明显，植被覆盖度较低区域主要分布在成都平原经济区及川西部分地区； ③从空间变化特征上分析，2009—2020年研究区的植被覆盖度整体呈现基本稳定趋势(44.39%)，植被覆盖度改善的区域面积(30.78%)大于植被覆盖度退化区域(24.82%)，其中明显退化区域面积所占比例最少，仅占全省面积的4.96%。[结论] 总体上，2009—2020年四川省的植被覆盖状况良好，以高、中高植被覆盖度为主，植被覆盖度呈现基本稳定趋势。

Abstract

[Objective] The temporal and spatial variation characteristics of vegetation coverage in Sichuan Province from 2009 to 2020 were monitored and analyzed

in order to provide important basic research data for quantitative assessment of the regional ecological environment

and scientific references for urban planning and sustainable urban development. [Methods] Landsat images of Sichuan Province from 2009 to 2020 were acquired from the Google Earth Engine cloud computing platform

and the vegetation coverage area was quantitatively estimated by the binary pixel model. [Results] ① In the 11 years from 2009 to 2020

Sichuan Province was mainly dominated by high and medium high vegetation coverage

accounting for 80% of the province’s area

while the proportion of low and medium low vegetation coverage was less than 10%. ② From the perspective of spatial distribution

the spatial difference of fractional vegetative cover (FVC) in Sichuan Province was obvious. The areas with low FVC were mainly located in the Chengdu Plain Economic Zone and some areas in Western Sichuan Province. ③ From the analysis of spatial change characteristics

FVC in the study area showed a basically stable trend (44.39%) from 2009 to 2020. The area of FVC improvement (30.78%) was larger than that of FVC degradation (24.82%)

and the area of obvious degradation accounted for the least proportion (only 4.96% of the province’s area). [Conclusion] On the whole

vegetation coverage in Sichuan Province from 2009 to 2020 was in good condition

mainly with high and medium high vegetation coverage. The vegetation coverage showed a basically stable trend. From 2009 to 2020

the area of Sichuan Province was mainly dominated by high and medium high FVC levels that accounted for 80% of the province’s area

while the area of low and medium low FVC accounted for less than 10% of the area.

关键词

Keywords

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