摘要
利用2000年以来的MODIS数据,计算出NDVI指数,基于变化矢量分析方法对吉林省2000年以来植被的时空变化规律进行分析。结果表明:(1)2000年以来,吉林省平均植被指数呈上升趋势;(2)2000—2022年植被指数变化以中、低变化为主,其中高变化主要集中在吉林省西部草地,中变化主要分布在中西部农田分布区域;(3)NDVI变化整体表现为稳中略增,增加区主要分布在吉林省的西部,减少区零星分布在各地区;(4)2000—2022年吉林省草地植被变化强度较大,NDVI变化整体表现为稳中有增的趋势,并且增加较为明显;(5)2000—2022年吉林省森林植被变化强度以中、低变化为主,NDVI表现为波动中平稳变化,没有明显的趋势。
Based on the MODIS data since 2000,calculated the NDVI index,and analyzed the temporal and spatial changes of vegetation in Jilin Province since 2000 based on the change vector analysis method.The results showed that:(1)Since 2000,the average vegetation index in Jilin Province had been increasing;(2)The vegetation index changes from 2000 to 2022 were mainly medium and low,with high changes mainly concentrated in the grassland in the west of Jilin Province,and medium changes mainly distributed in the farmland distribution areas in the central and western regions;(3)The overall NDVI change showed a steady and slight increase.The increase area was mainly distributed in the west of Jilin Province,while the decrease area was scattered in various regions;(4)From 2000 to 2022,the intensity of grassland vegetation change in Jilin Province was large,and the NDVI change showed a steady and increasing trend,and the increase was relatively obvious;(5)From 2000 to 2022,the intensity of forest vegetation change in Jilin Province was dominated by medium and low changes,and NDVI showed moderate and stable changes without obvious trend.This study has important practical significance for timely understanding the ecological environment dynamics and ecological governance effect in Jilin Province.
作者
马艳敏
李建平
许翔驰
高岩
王颖
Ma Yan-min(Jilin Provincial Institute of Meteorological Sciences,Changchun,Jilin 130062)
出处
《农业灾害研究》
2023年第6期176-178,共3页
Journal of Agricultural Catastrophology
关键词
植被变化
遥感监测
吉林省
Vegetation change
Remote sensing monitoring
Jilin Province