Comparison of UAV-based LiDAR and digital aerial photogrammetry for measuring crown-level canopy height in the urban environment

《Comparison of UAV-based LiDAR and digital aerial photogrammetry for measuring crown-level canopy height in the urban environment》

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作者: Longfei Zhou;Ran Meng;Yiyang Tan;Zhengang Lv;Yutao Zhao;Binyuan Xu;Feng Zhao

来源: URBAN FORESTRY & URBAN GREENING,Vol.69,Issue1,Article 127489

语言: 英文

关键字: Computer vision;Precision forestry;UAV photogrammetry;Urban forest inventory;Urban greenspace

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of UAV-based LiDAR and digital aerial photogrammetry for measuring crown-level canopy height in the urban environment","usesAbstractUrl":true,"renderingMode":"Abstract","isAbstract":true,"isContentVisible":false,"ajaxLinks":{"citingArticles":true,"referredToBy":true,"toc":true,"recommendations":true,"authorMetadata":true},"eligibleForUniversalPdf":false},"authors":{"content":[{"#name":"author-group","$":{"id":"aug0005"},"$$":[{"#name":"author","$":{"id":"aut0005","author-id":"S1618866722000322-fe2f14226afa98ba4b30c2e76dc97b22"},"$$":[{"#name":"given-name","_":"Longfei;College of Resources and Environment, Huazhong Agricultural University, Wuhan 430070, China;Interdisciplinary Sciences Research Institute, Huazhong Agricultural University, Wuhan 430070, China;School of Oceanography, Shanghai Jiao Tong University, Shanghai 200240, China;Key Laboratory of Geographical Process Analysis & Simulation of Hubei province/College of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, China;College of Resources and Environment, Huazhong Agricultural University, Wuhan 430070, China;Interdisciplinary Sciences Research Institute, Huazhong Agricultural University, Wuhan 430070, China;School of Oceanography, Shanghai Jiao Tong University, Shanghai 200240, China;Key Laboratory of Geographical Process Analysis & Simulation of Hubei province/College of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, China

摘要: Spatial information on urban forest canopy height (FCH) is fundamental for urban forest monitoring and assisting urban planning and management. Traditionally, ground-based canopy height measurements are time-consuming and laborious, making it challenging for periodic inventory of urban FCH at crown level. Airborne-light detection and ranging (LiDAR) sensor can efficiently measure crown-level FCH; however, the high cost of airborne-LiDAR data collection over large scales hinders its wide applications at a high temporal resolution. Previous studies have shown that in some cases, the Unmanned Aerial Vehicle (UAV)-digital aerial photogrammetry (DAP) approach (i.e., UAV-based structure from motion algorithm) is equivalent to or even outperform airborne-LiDAR in measuring forest structure, but few studies have evaluated their performances in measuring FCH in more complex urban environment, across non-ground coverage (including both canopy and building coverage) and topographical slope gradients. Also, the contribution of multi-angle measurement technique from UAV-DAP to FCH estimation accuracy has rarely been explored in the urban environment. Here, we compared the performances of UAV-LiDAR and UAV-DAP approaches on measuring thousands of crown-level FCH at different non-ground coverage and topographical slope areas in an urban environment. Specifically, UAV-LiDAR-based spatial measurements of crown-level FCH were used as the reference after ground-based validation (R2 = 0.88, RMSE = 2.36 m). The accuracy of UAV-DAP approach with/without multi-angle measurement in different non-ground coverage and topographical slope areas were then analyzed. The results showed that although the DAP multi-angle-based approach can improve the accuracy of spatial measurement for crown-level FCH in some cases, non-ground coverage (including both canopy and building coverage) was still the main factor affecting the broad applications of DAP approach in measuring urban FCH: at areas where non-ground coverage < 0.95, no matter how topographical slope varied, the accuracy of DAP approach was high (R2 = 0.86∼0.94, RMSE = 1.56∼2.93 m); at areas where non-ground coverage > 0.95, except for the case of flat areas (i.e., topographical slope <= 2°), the accuracy of DAP was poor (R2 = 0.20, RMSE = 12.34 m). However, using LiDAR-digital terrain model (DTM) instead of DAP-DTM, at areas where non-ground coverage > 0.95, can significantly improve the accuracy of UAV-DAP approach in measuring crown-level FCH (R2 = 0.91, RMSE =1.61 m). Our study thus provides a complete guidance on the usage of cost-effective UAV-DAP approach for measuring crown-level FCH in the urban environment, which will be helpful for precise urban forest management and improving the efficiency of urban environmental planning.