Arid
DOI10.1117/12.760720
Quantitative evaluation of desertification extent based on geographic unit by remote
Wang, Zhoulong; Wang, Dapeng; Zhang, Chunlai2; Zhang, Anding
通讯作者Wang, Zhoulong
会议名称15th International Conference on Geoinformatics
会议日期MAY 25-27, 2007
会议地点Nanjing, PEOPLES R CHINA
英文摘要

The quantitative evaluation of desertification extent with remotely sensed imagery has been a hot spot of remote sensing application research. The evaluation process should consider the principles of dominance, integration and so on. Traditional evaluation methods to desertification extent are usually carried out at the scale of discrete pixels, which fails to taken into account of the influence of adjacent pixels and results in noises on the evaluation result images, inducing the unilateralism result. If we try to use filters to reduce the noises, then the evaluation results will be wrong contrasting with its real result. Based on former researches and the geographic science principle, this paper discusses the method of assessing desertification extent at the scale of geographic unit, in which the geographic unit is determined by vegetation coverage index and spatial information. The test results show that this method provides more accurate assessment of the ground situation avoiding the limitations of traditional methods.


英文关键词desertification quantitative evaluation scale geographic unit
来源出版物GEOINFORMATICS 2007: REMOTELY SENSED DATA AND INFORMATION, PTS 1 AND 2
ISSN0277-786X
出版年2007
卷号6752
ISBN978-0-8194-6912-0
出版者SPIE-INT SOC OPTICAL ENGINEERING
类型Proceedings Paper
语种英语
国家Peoples R China
收录类别CPCI-S
WOS记录号WOS:000251046800069
WOS类目Remote Sensing ; Optics
WOS研究方向Remote Sensing ; Optics
资源类型会议论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/296522
作者单位1.Ludong Univ, Coll Geog & Resource Management, Yantai 264025, Peoples R China;
2.Beijing Normal Univ, Key Lab Environm Change & Nat Disaster, Minist Educ China, China Ctr Desert Res, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Wang, Zhoulong,Wang, Dapeng,Zhang, Chunlai,et al. Quantitative evaluation of desertification extent based on geographic unit by remote[C]:SPIE-INT SOC OPTICAL ENGINEERING,2007.
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