摘要
土地覆被变化作为全球环境变化的一种表现,同时又对全球环境产生影响。分析区域土地覆被动态变化,是开展全球变化、生态系统评估以及人类与环境之间相互作用研究的基础性工作。本研究以中国西北地区(新疆维吾尔自治区、青海省、甘肃省、宁夏回族自治区、陕西省以及内蒙古自治区的阿拉善盟)为研究区,通过收集区域1990年、2005年和2010年的Landsat TM以及2000年的Landsat ETM+遥感影像数据,基于eCognition软件平台,采用面向对象计算机自动分类与人工目视解译相结合的方法,提取研究区四期土地覆被数据。最后采用野外样本点调查、高分辨率影像识别和Google Earth的样本点识别对数据精度进行验证。本数据集可以作为区域生态环境评估的本底数据,也是区域规划、气候变化研究、环境建模以及生物多样性和生态系统碳储量研究的基础数据。
Land cover change is one of the most direct manifestations of global environmental change,which influences global environment.An analysis of regional land cover dynamics lays a basis for researches on global change,ecosystem assessment and the interaction between human and environment.In this study we take northwest China as research area,including Xinjiang Uygur Autonomous Region,Qinghai Province,Gansu Province,Ningxia Hui Autonomous Region,Shaanxi Province and Alxa League of Inner Mongolia Autonomous Region.We collect Landsat TM image data of the area in 1990,2005 and 2010,and Landsat ETM+image data in 2000.Through the eCognition platform,we extract land cover data of the four periods using the object-oriented automatic classification and artificial visual interpretation methods.Finally,data accuracy is verified through three methods,including field sample point survey,high-resolution image recognition and Google Earth sample point identification.This dataset can be used as the background data for regional eco-environment assessment,regional planning,climate change research,environmental modeling,biodiversity studies,and ecosystem carbon research.
作者
谢家丽
颜长珍
常存
Xie Jiali;Yan Changzhen;Chang Cun(Key Laboratory of Desert and Desertification,Northwest Institute of Eco-Environment and Resources,Chinese Academy of Sciences,Lanzhou 730000,P.R.China;State Key Laboratory of Desert and Oasis Ecology,Xinjiang Institute of Ecology and Geography,Chinese Academy of Sciences,Urumqi 830001,P.R.China)
基金
西北地区地面–遥感数据信息平台建设项目(KFJ-EW-STS-006)
国家科技基础条件平台“特殊环境特殊功能观测研究台站共享服务平台”项目(Y719H71006)
中国科学院信息化专项“寒旱区环境演变研究‘科技领域云’的建设与应用”项目(XXH13506)
