{"title":"激光雷达DTM:伪影,河流高度校正","authors":"Jean-François Parrot , Carolina Ramírez Núñez","doi":"10.14350/rig.47372","DOIUrl":null,"url":null,"abstract":"<div><p><span>l</span>i<span>dar</span> data provide high-resolution Digital Elevation Models (<span>dem</span>s), but some artifacts affect their accuracy and precision. This includes the <span>dem</span>s generated by the Mexican National Institute of Statistics and Geography (Instituto Nacional de Estadisitica y Geografia, <span>inegi</span>), especially <span>l</span>i<span>dar</span> Digital Terrain Models (<span>dtm</span>s) related to the bare earth surface. These artifacts correspond to triangular facets observed in different small and scattered areas, as well as on the surface of the rivers. When dense gallery forests are present, river surfaces have a high roughness also associated with multiple triangular facets. The treatments developed in this research mitigate and/or eliminate these drawbacks and improve the <span>l</span>i<span>dar</span> <span>dtm</span>s. Calculations based on the elevation Root Mean Square Roughness and the elevation Root Mean Square Error confirm that the method presented here allows <span>dtm</span> products to be improved in order to realize accurate simulations and precise measurements.</p></div>","PeriodicalId":39866,"journal":{"name":"Investigaciones Geograficas","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.14350/rig.47372","citationCount":"3","resultStr":"{\"title\":\"LiDAR DTM: artifacts, and correction for river altitudes\",\"authors\":\"Jean-François Parrot , Carolina Ramírez Núñez\",\"doi\":\"10.14350/rig.47372\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p><span>l</span>i<span>dar</span> data provide high-resolution Digital Elevation Models (<span>dem</span>s), but some artifacts affect their accuracy and precision. This includes the <span>dem</span>s generated by the Mexican National Institute of Statistics and Geography (Instituto Nacional de Estadisitica y Geografia, <span>inegi</span>), especially <span>l</span>i<span>dar</span> Digital Terrain Models (<span>dtm</span>s) related to the bare earth surface. These artifacts correspond to triangular facets observed in different small and scattered areas, as well as on the surface of the rivers. When dense gallery forests are present, river surfaces have a high roughness also associated with multiple triangular facets. The treatments developed in this research mitigate and/or eliminate these drawbacks and improve the <span>l</span>i<span>dar</span> <span>dtm</span>s. Calculations based on the elevation Root Mean Square Roughness and the elevation Root Mean Square Error confirm that the method presented here allows <span>dtm</span> products to be improved in order to realize accurate simulations and precise measurements.</p></div>\",\"PeriodicalId\":39866,\"journal\":{\"name\":\"Investigaciones Geograficas\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.14350/rig.47372\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Investigaciones Geograficas\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0188461116300346\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Social Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Investigaciones Geograficas","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0188461116300346","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 3
摘要
激光雷达数据提供高分辨率的数字高程模型(dem),但一些人为因素会影响其准确性和精度。这包括墨西哥国家统计和地理研究所(Instituto Nacional de Estadisitica y Geografia, inegi)生成的dem,特别是与裸地表面相关的激光雷达数字地形模型(dtms)。这些人工制品对应于在不同的小而分散的区域以及河流表面观察到的三角形面。当存在茂密的廊道森林时,河流表面也具有与多个三角形面相关的高粗糙度。本研究开发的治疗方法减轻和/或消除了这些缺点,并改善了激光雷达成像。基于高程均方根粗糙度和高程均方根误差的计算证实,本文提出的方法可以对dtm产品进行改进,以实现精确的模拟和精确的测量。
LiDAR DTM: artifacts, and correction for river altitudes
lidar data provide high-resolution Digital Elevation Models (dems), but some artifacts affect their accuracy and precision. This includes the dems generated by the Mexican National Institute of Statistics and Geography (Instituto Nacional de Estadisitica y Geografia, inegi), especially lidar Digital Terrain Models (dtms) related to the bare earth surface. These artifacts correspond to triangular facets observed in different small and scattered areas, as well as on the surface of the rivers. When dense gallery forests are present, river surfaces have a high roughness also associated with multiple triangular facets. The treatments developed in this research mitigate and/or eliminate these drawbacks and improve the lidardtms. Calculations based on the elevation Root Mean Square Roughness and the elevation Root Mean Square Error confirm that the method presented here allows dtm products to be improved in order to realize accurate simulations and precise measurements.
期刊介绍:
Investigaciones Geográficas, es una revista arbitrada y de circulación internacional, en donde se publican contribuciones de especialistas en geografía y disciplinas afines, con trabajos originales de investigación, ya sean avances teóricos, nuevas tecnologías o estudios de caso sobre la realidad geográfica mexicana y mundial.