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应用多源遥感数据对天山草地资源分类的比较研究
引用本文:隋晓青,安沙舟,王堃,范燕敏,靳瑰丽. 应用多源遥感数据对天山草地资源分类的比较研究[J]. 草地学报, 2007, 15(2): 145-152
作者姓名:隋晓青  安沙舟  王堃  范燕敏  靳瑰丽
作者单位:1. 新疆农业大学草业工程学院,新疆草地资源与生态重点实验室,新疆,乌鲁木齐,830052;中国农业大学动物科技学院草地研究所,北京,100094
2. 新疆农业大学草业工程学院,新疆草地资源与生态重点实验室,新疆,乌鲁木齐,830052
3. 中国农业大学动物科技学院草地研究所,北京,100094
基金项目:教育部春晖计划项目 , 新疆重点实验室基金
摘    要:利用多源遥感数据和"3S"技术平台,采用监督分类法对天山北坡山体垂直带内草地资源进行分类并获取资源分布格局图,探讨多源遥感数据在草地资源类型分类中的应用程度和发展前景.结果表明:ETM 和CBERS都比较适合草地资源分类,除在低山、部分中山分类难度大、正确率低外,在其它区域都能划分到"类"一级,但在"型"级划分上,个别类中有所混淆;MODIS卫星数据不适于作草地资源分类信息源,仅能划分出几个复合的大类.

关 键 词:天山北坡  草地资源  分类  多源遥感数据  应用程度  多源遥感数据  天山草地  资源分类  比较  研究  Region  Autonomous  Uygur  Xinjiang  Tianshan Mountains  Resources  Rangeland  Classification  Remote Sensing Data  信息源  卫星数据  MODIS  划分  区域
文章编号:1007-0435(2007)02-0145-08
收稿时间:2006-11-24
修稿时间:2007-01-25

Classification of Rangeland Resources Types in Tianshan Mountains of Xinjiang Uygur Autonomous Region, Based on Multi-source Remote Sensing Data
SUI Xiao-qing,AN Sha-zhou,WANG Kun,Fan Yan-min,Jin Gui-li. Classification of Rangeland Resources Types in Tianshan Mountains of Xinjiang Uygur Autonomous Region, Based on Multi-source Remote Sensing Data[J]. Acta Agrestia Sinica, 2007, 15(2): 145-152
Authors:SUI Xiao-qing  AN Sha-zhou  WANG Kun  Fan Yan-min  Jin Gui-li
Affiliation:1.College of Grassland Science and Technology, Xinjiang Agricultural University, Xinjiang Laboratory of Grassland Resources and Ecology Urumqi, Xinjiang Uygur Autonomous Region 830052, China; 2. Institute of Grassland Science, College of Animal Science and Technology, China Agricultural University, Beijing 100094, China
Abstract:Taken the northern slopes of the Tianshan Mountains as the research area,the multi-source remote sensing data were applied to investigate and classify in rangeland resources types based on supervised classification method(MLC) combined with "3S" technical platform.The result shows that ETM and CBERS are suitable for classificating in rangeland resources,they can discern types of the first unit,except for plains and sections of the medium-height mountains where data of remote sensing are got lower accuracy,but there are the mixed types in the second unit;MODIS is not suitable for the application in classifing the rangeland resources types because of its lower special resolution.
Keywords:Northern slopes of the Tianshan Mountains  Rangeland resources  Classification  Multi-source remote sensing data
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