摘要
针对已有坡度相关研究多选取黄土高原等特殊地貌,且基于单一分辨率,缺乏普遍适用性。该文以德宏州地区的大起伏山地、平原的多分辨率DEM为数据源,采用排序分析、单因素方差分析、回归分析、LSD、对比分析等6种坡度算法提取样区坡度,以比较不同地貌类型在不同分辨率下的坡度平均值、中误差等指标。实验结果表明,地貌类型及分辨率均应作为坡度算法选择的重要依据,这为地理国情监测中地形地貌研究提供了重要参考价值。
Slope is one of the important index factors of topography in geographical conditions monitoring（GeoCM）.Related studies that mostly were based on special landform and a single resolution lack of a better applicability.Herein,the data sets with two kinds of typical physiognomies and multi-resolution DEM from Dehong Zhou was chosen for the research in this paper.Six slope algorithms for extracting the slope of the zones are used,and the experiment results from six different algorithms were compared including the ordination analysis,single factor analysis of variance and regression analysis,LSD comparative analysis and other methods.Experimental results demonstrated that geomorphic types and resolution should be both considered as the important basis for the selection of gradient algorithms,which can provide a reasonable reference for the research of the terrain and landform in GeoCM..
出处
《测绘科学》
CSCD
北大核心
2017年第3期29-34,共6页
Science of Surveying and Mapping
基金
测绘地理信息公益性行业科研专项经费项目(201512033)
国家高新技术研究发展专项经费项目(2012AA12A309)
国家质量监督检验检疫总局公益性行业科研专项(201410308)
测绘地理信息公益性行业科研专项经费项目(201512027)
关键词
坡度算法
多分辨率
地貌类型
slope algorithm
multi-resolution
geomorphic types
