[1] Hyyppä J, Hyyppä H, Leckie D, et al. Review of methods of small-footprint airborne laser scanning for extracting forest inventory data in boreal forests[J]. International Journal of Remote Sensing, 2008, 29: 1339-1366. doi: 10.1080/01431160701736489
[2] Jaakkola A, Hyyppä J, Kukko A, et al. A low-cost multi-sensoral mobile mapping system and its feasibility for tree measurements[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2010, 65: 514-522. doi: 10.1016/j.isprsjprs.2010.08.002
[3] Kellner J R, Armston J, Birrer M, et al. New opportunities for forest remote sensing through ultra-high-density drone lidar[J]. Surveys in Geophysics, 2019, 40: 959-977. doi: 10.1007/s10712-019-09529-9
[4] Hu T, Sun X, Su Y, et al. Development and performance evaluation of a very low-cost UAV-lidar system for forestry applications[J]. Remote Sensing, 2021, 13: 77.
[5] Wallace L, Lucieer A, Watson C, et al. Development of a UAV-LiDAR system with application to forest inventory[J]. Remote Sensing, 2012, 4: 1519-1543. doi: 10.3390/rs4061519
[6] Renslow M S, Greefield P, Guay T. Evaluation of multi-return LiDAR for forestry applications[C]. Report Prepared for the Inventory and Monitoring Steering Committee of the USDA Forest Service. US Department of Agriculture Forest Service—Engineering. Remote Sensing Applications Center, November 2000. RSAC-2060/4810-LSP-0001-RPT1.
[7] Singh K K, Chen G, Vogler J B, et al. When big data are too much: effects of LiDAR returns and point density on estimation of forest biomass[J]. IEEE J-STARS, 2016, 9(7): 3210-3218.
[8] Vauhkonen J, Ørka H O, Holmgren J, et al. Tree species recognition based on airborne laser scanning and complementary data sources[A] // Maltamo M, Næsset E, Vauhkonen J. Forestry applications of airborne laser scanning: concepts and case studies. Managing forest ecosystems 27, Springer Science C Business Media Dordrecht 2014, 135-156.
[9] Latifi H, Fassnacht F E, Müller J, et al. Forest inventories by LiDAR data: A comparison of single tree segmentation and metric-based methods for inventories of a heterogeneous temperate forest[J]. International Journal of Applied Earth Observation and Geoinformation, 2015, 42: 162-174. doi: 10.1016/j.jag.2015.06.008
[10] Puliti S, Olerka H, Gobakken T, et al. Inventory of small forest areas using an unmanned aerial system[J]. Remote Sensing, 2015, 7: 9632-9654. doi: 10.3390/rs70809632
[11] Pearse G D, Dash J P, Persson H J, et al. Comparison of high-density LiDAR and satellite photogrammetry for forest inventory[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2018, 142: 257-267. doi: 10.1016/j.isprsjprs.2018.06.006
[12] Gobakken T, Næsset E. Assessing effects of laser point density, ground sampling intensity, and field sample plot size on biophysical stand properties derived from airborne laser scanner data[J]. Canadian Journal of Forest Research, 2008, 38: 1095-1109. doi: 10.1139/X07-219
[13] Hao Y, Widagdo F R A, Liu X, et al. Estimation and calibration of stem diameter distribution using UAV laser scanning data: A case study for larch (Larix olgensis) forests in Northeast China[J]. Remote Sensing of Environment, 2022, 268: 112769. doi: 10.1016/j.rse.2021.112769
[14] Zhang B, Li X, Du H, et al. Estimation of urban forest characteristic parameters using UAV-Lidar coupled with canopy volume[J]. Remote Sensing, 2022, 14: 6375. doi: 10.3390/rs14246375
[15] Sumnall M J, Albaugh T J, Carter D R, et al. Effect of varied unmanned aerial vehicle laser scanning pulse density on accurately quantifying forest structure[J]. International Journal of Remote Sensing, 2022, 43: 721-750. doi: 10.1080/01431161.2021.2023229
[16] Peng X, Zhao A, Chen Y, et al. Tree height measurements in degraded tropical forests based on UAV-LiDAR data of different point cloud densities: A case study on Dacrydium pierrei in China[J]. Forests, 2021, 12: 328. doi: 10.3390/f12030328
[17] Singh K K, Chen G, McCarter J B, et al. Effects of LiDAR point density and landscape context on estimates of urban forest biomass[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2015, 101: 310-322. doi: 10.1016/j.isprsjprs.2014.12.021
[18] Zhang Q, Hu M, Zhou Y, et al. Effects of UAV-LiDAR and photogrammetric point density on tea plucking area identification[J]. Remote Sensing, 2022, 14: 1505. doi: 10.3390/rs14061505
[19] Magnusson M, Fransson J E S, Holmgren J. Effects on estimation accuracy of forest variables using different pulse density of laser data[J]. Forest Science, 2007, 53(6): 619-626.
[20] BCAL LiDAR Tools, Version 1.5. 2, 2013[CP]. Idaho State University, Department of Geosciences, Boise Center Aerospace Laboratory (BCAL), Boise, Idaho. http://bcal.geology.isu.edu/envitools.shtml.
[21] 郭庆华, 苏艳军, 胡天宇, 等. 激光雷达森林生态应用——理论、方法及实例[M]. 北京: 高等教育出版社, 2018, 208-209.
[22] Bouvier M, Durrieu S, Fournier R A, et al. Generalizing predictive models of forest inventory attributes using an area-based approach with airborne LiDAR data[J]. Remote Sensing of Environment, 2015, 156: 322-334. doi: 10.1016/j.rse.2014.10.004
[23] Li C, Chen Z, Zhou X, et al. Generalized models for subtropical forest inventory attribute estimations using a rule-based exhaustive combination approach with airborne LiDAR-derived metrics[J]. Giscience & Rremote Sensing, 2023, 60(1): 2194601.
[24] 李春干, 李　振, 代华兵. 机载激光雷达森林资源调查与监测[M]. 北京: 科学出版社, 2023, 126-144.
[25] 曾伟生, 唐守正. 立木生物量方程的优度评价和精度分析[J]. 林业科学, 2011, 47(11):106-113.
[26] Montealegre A L, Lamelas M T, de la Riva J, et al. Use of low point density ALS data to estimate stand-level structural variables in Mediterranean Aleppo pine forest[J]. Forestry, 2016, 89: 373-382. doi: 10.1093/forestry/cpw008
[27] Ota T, Kajisa T, Mizoue N, et al. Estimating aboveground carbon using airborne LiDAR in Cambodian tropical seasonal forests for redd + implementation[J]. Journal of Forest Research, 2015, 20(6): 484-492. doi: 10.1007/s10310-015-0504-3
[28] Strunk J, Temesgen H, Andersen H E, et al. Effects of pulse density and sample size on a model-assisted approach to estimate forest inventory variables[J]. Canadian Journal of Remote Sensing, 2012, 38(5): 644-654. doi: 10.5589/m12-052
[29] Næsset E. Practical large-scale forest stand inventory using a small-footprint airborne scanning laser[J]. Scandinavian Journal of Forest Research, 2004, 19: 164-179. doi: 10.1080/02827580310019257
[30] Thomas V, Treitz P, Mccaughey J H, et al. Mapping stand-level forest biophysical variables for a mixedwood boreal forest using LiDAR: an examination of scanning density[J]. Canadian Journal of Forest Research, 2006, 36(1): 34-47. doi: 10.1139/x05-230
[31] Næsset, E. Area-Based Inventory in Norway – From innovation to an operational reality[A] // Maltamo M, Næsset E, Vauhkonen J. Forestry applications of airborne laser scanning: concepts and case studies. Managing forest ecosystems 27, Springer Science C Business Media Dordrecht 2014, 215-240.
[32] Næsset E. Effects of sensors, flying altitudes, and pulse repetition frequencies on forest canopy metrics and biophysical stand properties derived from small-footprint airborne laser data[J]. Remote Sensing of Environment, 2014, 91(2): 243-255.