欢迎访问林草资源研究

FOREST RESOURCES WANAGEMENT ›› 2019›› Issue (4): 124-131.doi: 10.13466/j.cnki.lyzygl.2019.04.018

Previous Articles     Next Articles

Dynamic Monitoring of Multi-year Vegetation Coverage in Sichuan Province Based on Google Earth Engines

FENG Li(), HU Wenying, LI Yingxin, ZHANG Enwei   

  1. Yunnan Normal University,Kunming 650500
  • Received:2019-06-12 Revised:2019-07-05 Online:2019-08-28 Published:2020-10-20

Abstract:

Dynamic monitoring of vegetation coverage is an important part of studying regional ecological environment.This article uses the Google Earth Engine remote sensing big data cloud computing platform to collect the composite NDVI remote sensing images of Landsat TM/OLI in Sichuan Province from 2001-2016,and make comprehensive use of the methods of maximum synthesis,pixel binary model and trend analysis to estimate the vegetation coverage in Sichuan Province from 2001 to 2016 and analyze the changes in vegetation coverage in Sichuan Province in the past 16 years .The results show that,firstly,GEE's powerful cloud computing capability can be used to dynamically monitoring long time series in large study areas.Secondly,from 2001 to 2016,the vegetation coverage in Sichuan Province showed a relatively good overall situation and the vegetation cover change trend was relatively stable.Thirdly,the vegetation coverage in Sichuan province presents uneven spatial distribution,and generally shows a trend of gradual decrease from the edge to the center.In the past 16 years,the vegetation coverage in this region has shown a slight increase trend.In general,the vegetation coverage in Sichuan province is in good condition.

Key words: vegetation coverage, pixel binary model, temporal and spatial change, dynamic monitoring

CLC Number: