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基于RS和GIS技术的贵州省植被生态环境监测分析
引用本文:牛鲁燕,郑有飞,吴荣军,莫瑶,吴战平.基于RS和GIS技术的贵州省植被生态环境监测分析[J].环境监测管理与技术,2009,21(3):14-18.
作者姓名:牛鲁燕  郑有飞  吴荣军  莫瑶  吴战平
作者单位:1. 江苏省气象灾害重点实验室,江苏,南京,210044;南京信息工程大学环境科学与工程学院,江苏,南京,210044
2. 贵州省山地环境气候研究所,贵州,贵阳,550044
基金项目:贵州省气象局气象科技开放基金 
摘    要:为阐明贵州省植被生态环境变化的整体状况,基于RS和GIS技术,应用美国国家航空航天局最新的全球植被指数变化研究数据(GIMMS),通过计算月归一化植被指数(NDVI)变化率,并对研究区一元线性回归模拟,分析了贵州省1982年-2003年的地表植被覆盖。结果表明:22年来,研究区植被覆盖呈增加趋势,表明贵州省植被生态环境向好的方向发展;贵州省平均植被覆盖在春季和秋季呈上升趋势,夏季和冬季呈下降趋势,其中春季对植被覆盖总变化量的贡献最大;植被覆盖程度增减因区域不同而异,变化程度呈增加的区域主要位于贵,ki-I省的中部地区;变化程度呈减小的区域分布在贵州省的四周边缘。

关 键 词:遥感  地理信息系统  植被覆盖  生态环境监测  贵州

The Analysisof Vegetation EntironmentM onitoring in Chinese Guizhou Based on RS and GIS Technology
NIU Lu-yan,ZHENG You-fei,WU Rong-jun,MO Yao,WU Zhan-ping.The Analysisof Vegetation EntironmentM onitoring in Chinese Guizhou Based on RS and GIS Technology[J].The Administration and Technique of Environmental Monitoring,2009,21(3):14-18.
Authors:NIU Lu-yan  ZHENG You-fei  WU Rong-jun  MO Yao  WU Zhan-ping
Institution:NIU Lu-yan, ZHENG You-fei, WU Rong-jun, MO Yao, WU Zhan-ping (1. Jiangsu Key Laboratory of Meteorological Disaster- KLME, Nanjing, Jiangsu 210044, China; 2. Nanjing University of Information Science and Technology, Nanjing , Jiangsu 210044, China; 3. Guizhou Mountain Environment Cimate Institute, Guiyang, Guizhou 550044, China)
Abstract:The Normalized Difference Vegetation Index (NDVI) were used in Global Inventory Modeling and Mapping Studies (GIMMS) of NASA, monthly from 1982 to 2003 based on RS&GIS technology, to illustrate the vegetation cover of earth surface in Guizhou. The change rates of NDVI were calculated by the linear regression to analysis the spatial distribution and dynamic change of vegetation coverage. The main conclusions indicated that NDVI values seemed to be turning up in the area during recent 22 years ( 1982--2003 ). That suggested the vegetation cover was improved in Guizhou. The NDVI increased in the spring and autumn and decreased in the summer and winter. The spring made the largest vegetation contribution in all seasons. Vegetation cover was different from the area and the variation was positive in the central area but negative around the edges of Guizhou.
Keywords:Remote sensing  GIS  Vegetation cover  Entironmentmonitoring  Guizhou
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