| 机载LiDAR生成亚热带森林林下DTM的地面误差分析 |
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| 引用本文： | 武晓天,李慧姝,阮芳,冯皓宁,陈明强,王长委,王斌.机载LiDAR生成亚热带森林林下DTM的地面误差分析[J].测绘通报,2021,0(11):101-105. |
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| 作者姓名： | 武晓天 李慧姝 阮芳 冯皓宁 陈明强 王长委 王斌 |
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| 作者单位： | 1. 广东省国土资源技术中心, 广东 广州 510075;2. 华南农业大学资源环境学院, 广东 广州 510642;3. 广州建通测绘地理信息技术股份有限公司, 广东 广州 510663;4. 广东省国土资源测绘院, 广东 广州 510550 |
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| 基金项目： | 2018年省级促进经济发展专项资金（GDME-2018E005）；广东省2017—2019年基础测绘项目；2020年广东省自然资源厅科技项目（GDZRZYKJ-ZC2020003） |
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| 摘 要： | 目前LiDAR技术已经成为DTM的主要生产方法。地面误差对LiDAR生成DTM的精度影响比较明显，特别是由于亚热带森林植被覆盖区LiDAR激光点云少，生成的DTM更复杂，需要分析地面误差对LiDAR生成林下DTM的精度影响。本文以华南农业大学增城教学科研基地为研究对象，从森林郁闭度和坡度两个方面探讨了地面误差对机载LiDAR数据生成林下DTM精度的影响。研究结果发现高程误差会随郁闭度的增大而增大；而随坡度变化趋势不明显，但是坡度为15°时成为误差的分水岭，其前后误差差异比较明显。总体而言，郁闭度的影响更为明显。
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| 关 键 词： | LiDAR DTM 亚热带森林 精度 |
| 收稿时间： | 2020-11-02 |
| 修稿时间： | 2021-04-12 |
Ground error analysis of DTM extracted by airborne LiDAR in subtropical forest |
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| WU Xiaotian,LI Huizhu,RUAN Fang,FENG Haoning,CHEN Mingqiang,WANG Changwei,WANG Bin.Ground error analysis of DTM extracted by airborne LiDAR in subtropical forest[J].Bulletin of Surveying and Mapping,2021,0(11):101-105. |
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| Authors: | WU Xiaotian LI Huizhu RUAN Fang FENG Haoning CHEN Mingqiang WANG Changwei WANG Bin |
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| Institution: | 1. Land and Resources Technology Center of Guangdong Province, Guangzhou 510075, China;2. College of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China;3. Guangzhou Jiantong Surveying, Mapping and Geoinformation Technology Co., Ltd., Guangzhou 510663, China;4. Institute of Land Resource Surveying and Mapping of Guangdong Province, Guangzhou 510550, China |
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| Abstract: | LiDAR is one of the main measurement techniques used nowadays for the derivation of DTM. Ground errors have a significant influence on the accuracy of DTM generated by LiDAR. In particular, due to the complex under-forest vegetation structure of the subtropical forest, the DTM will be more complicated. Therefore, it is necessary to analyze the influence of ground errors on the under forest DTM generated by LiDAR. Taking Zengcheng Teaching and Research Base of South China Agricultural University as the study area, the paper discusses the influence of ground error on the accuracy of under forest DTM generated by airborne LiDAR data from forest canopy density and slope. The results show that the elevation RMSE will increase with canopy closure increasing while the elevation RMSE does not change significantly with the slope rising. However, the slope of 15 degrees is the watershed of the elevation RMSE. When the slope exceeds to 15 degrees, the elevation RMSE will rise rapidly. In general, the influence of canopy closure is more apparent on the accuracy of DTM generated by LiDAR. |
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| Keywords: | LiDAR DTM subtropical forest accuracy |
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