摘要
利用2000—2019年5个时相的陆地资源卫星TM/ETM/OLI遥感影像数据,结合基础地理信息数据,综合利用植被指数、空间主成分分析、最大似然监督分类和决策树判别方法,获得了20a广西森林、灌草、农用植被信息数据。利用GIS技术、时空变化模型和土地利用转移矩阵,分析20a广西喀斯特地区植被分布格局及时空变化特征。结果表明,在广西喀斯特地区,植被分布格局差异显著,灌草分布面积最广,农田植被次之,森林植被最小;植被分布动态变化较剧烈,2000—2019年植被总面积总体呈减少变化趋势,其中2000—2015年植被分布面积动态变化较剧烈,之后开始减弱;植被类型之间均存在相互转移变化,灌草植被转移变化最小、稳定性最高,森林次之,农田植被最低。
Based on the Landsat TM/ETM/OLI remote sensing image data in 2000—2019,combined with the basic geographic information data,the vegetation index,spatial principal component analysis,maximum likelihood supervised classification and decision tree discrimination methods were used comprehensively to obtain the 20a forest,shrub-grass,agricultural vegetation information data in Guangxi.The distribution pattern and spatial-temporal change characteristics of vegetation in Guangxi in 20a were also analyzed using GIS technology,spatial-temporal change model and land use transfer matrix.The results showed that:In the karst region of Guangxi,the distribution pattern of vegetation was notably different.Shrub-grass had the widest range of distribution,followed by farmland vegetation and the smallest forest vegetation;The distribution of flora experienced major dynamic changes.The total vegetation area showed a downward trend from 2000—2019,with the most rapid changes in vegetation distribution occurring from 2000 to 2015,after which they started to weaken;All vegetation types exhibited mutual transfer modifications.Shrub-grass had the lowest transfer change,with the highest stability,followed by forest and the lowest farmland vegetation.
作者
莫建飞
陈诚
陈燕丽
周希源
孙明
Mo Jianfei;Chen Cheng;Chen Yanli;Zhou Xiyuan;Sun Ming(Guangxi Institute of Meteorological Sciences,Nanning 530022,China;Guangxi Ecological Meteorology and Satellite Remote Sensing Center,Nanning 530022,China;Guilin Meteorological Bureau,Guangxi Guilin 541001,China)
出处
《气象研究与应用》
2022年第4期13-19,共7页
Journal of Meteorological Research and Application
基金
广西重点研发计划项目(桂科AB17292051、桂科AB21238010、桂科AB20159022)
广西气象局重点项目(桂气科2019Z04)。
关键词
植被分布格局
时空变化
监督分类
GIS
广西喀斯特地区
Vegetation distribution pattern
temporal and spatial variation
supervised classification
GIS
the karst region of Guangxi