{"title":"来自阔叶林流域的GPS与dem的高程估算","authors":"L. Kiser, J. Kelly","doi":"10.4236/jgis.2010.23021","DOIUrl":null,"url":null,"abstract":"Topographic attributes are often used as explanatory variables when providing spatial estimates of various environmental attribute response variables. Elevation of sampling locations can be derived from global positioning systems (GPS) or digital elevation models (DEM). Given the potential for differences in elevation among these two data sources, especially in response to forest canopy cover, our objective was to compare GPS and DEM-derived elevation values during the dormant season. A non-parametric Wilcoxon test indicated GPS elevation was higher than DEM elevation with a mean difference of 6 m. Linear regression analysis indicated that GPS and DEM elevation were well correlated (R2 = 0.71, r = 0.84, p < 0.0001). Although elevation among the two data sources differed, the strong linear relationship allows for correction of elevation values in a predictable manner.","PeriodicalId":93313,"journal":{"name":"Journal of geographic information system","volume":"12 1","pages":"147-151"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"GPS- vs. DEM-Derived Elevation Estimates from a Hardwood Dominated Forest Watershed\",\"authors\":\"L. Kiser, J. Kelly\",\"doi\":\"10.4236/jgis.2010.23021\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Topographic attributes are often used as explanatory variables when providing spatial estimates of various environmental attribute response variables. Elevation of sampling locations can be derived from global positioning systems (GPS) or digital elevation models (DEM). Given the potential for differences in elevation among these two data sources, especially in response to forest canopy cover, our objective was to compare GPS and DEM-derived elevation values during the dormant season. A non-parametric Wilcoxon test indicated GPS elevation was higher than DEM elevation with a mean difference of 6 m. Linear regression analysis indicated that GPS and DEM elevation were well correlated (R2 = 0.71, r = 0.84, p < 0.0001). Although elevation among the two data sources differed, the strong linear relationship allows for correction of elevation values in a predictable manner.\",\"PeriodicalId\":93313,\"journal\":{\"name\":\"Journal of geographic information system\",\"volume\":\"12 1\",\"pages\":\"147-151\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-07-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of geographic information system\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4236/jgis.2010.23021\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of geographic information system","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4236/jgis.2010.23021","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
摘要
在对各种环境属性响应变量进行空间估计时,通常使用地形属性作为解释变量。采样地点的高程可以通过全球定位系统(GPS)或数字高程模型(DEM)得到。考虑到这两种数据源之间的海拔差异,特别是对森林冠层覆盖的响应,我们的目标是比较GPS和dem在休眠季节的海拔值。非参数Wilcoxon检验表明,GPS高程高于DEM高程,平均差6 m。线性回归分析表明,GPS与DEM高程具有较好的相关性(R2 = 0.71, r = 0.84, p < 0.0001)。虽然两个数据源之间的高程不同,但强线性关系允许以可预测的方式校正高程值。
GPS- vs. DEM-Derived Elevation Estimates from a Hardwood Dominated Forest Watershed
Topographic attributes are often used as explanatory variables when providing spatial estimates of various environmental attribute response variables. Elevation of sampling locations can be derived from global positioning systems (GPS) or digital elevation models (DEM). Given the potential for differences in elevation among these two data sources, especially in response to forest canopy cover, our objective was to compare GPS and DEM-derived elevation values during the dormant season. A non-parametric Wilcoxon test indicated GPS elevation was higher than DEM elevation with a mean difference of 6 m. Linear regression analysis indicated that GPS and DEM elevation were well correlated (R2 = 0.71, r = 0.84, p < 0.0001). Although elevation among the two data sources differed, the strong linear relationship allows for correction of elevation values in a predictable manner.