[1] Shi Y F, Skidmore A K, Wang T J et al. Tree species classification using plant functional traits from LiDAR and hyperspectral data[J]. International Journal of Applied Earth Observation and Geoinformation, 73, 207-219(2018).

[2] Skidmore A K, Pettorelli N, Coops N C et al. Environmental science: agree on biodiversity metrics to track from space[J]. Nature, 523, 403-405(2015). http://www.nature.com/articles/523403a

[3] Bruggisser M, Roncat A, Schaepman M E et al. Retrieval of higher order statistical moments from full-waveform LiDAR data for tree species classification[J]. Remote Sensing of Environment, 196, 28-41(2017). http://www.sciencedirect.com/science/article/pii/S0034425717301840

[4] Harrison D, Rivard B, Sánchez-Azofeifa A. Classification of tree species based on longwave hyperspectral data from leaves, a case study for a tropical dry forest[J]. International Journal of Applied Earth Observation and Geoinformation, 66, 93-105(2018). http://adsabs.harvard.edu/abs/2018IJAEO..66...93H

[5] Fassnacht F E, Latifi H, Stereńczak K et al. Review of studies on tree species classification from remotely sensed data[J]. Remote Sensing of Environment, 186, 64-87(2016). http://www.sciencedirect.com/science/article/pii/S0034425716303169

[6] Moore M M, Bauer M E. Classification of forest vegetation in north-central Minnesota using Landsat Multispectral Scanner and Thematic Mapper data[J]. Forest Science, 36, 330-342(1990). http://europepmc.org/abstract/AGR/IND91004822

[7] Walsh S J. Coniferous tree species mapping using LANDSAT data[J]. Remote Sensing of Environment, 9, 11-26(1980). http://europepmc.org/abstract/AGR/IND80077154

[8] Zhang C Y, Qiu F. Mapping individual tree species in an urban forest using airborne lidar data and hyperspectral imagery[J]. Photogrammetric Engineering & Remote Sensing, 78, 1079-1087(2012). http://www.ingentaconnect.com/content/asprs/pers/2012/00000078/00000010/art00005

[9] Richter R, Reu B, Wirth C et al. The use of airborne hyperspectral data for tree species classification in a species-rich Central European forest area[J]. International Journal of Applied Earth Observation and Geoinformation, 52, 464-474(2016). http://www.sciencedirect.com/science/article/pii/S0303243416301258

[10] Pant P, Heikkinen V, Hovi A et al. Evaluation of simulated bands in airborne optical sensors for tree species identification[J]. Remote Sensing of Environment, 138, 27-37(2013). http://www.sciencedirect.com/science/article/pii/S0034425713002289

[11] Liu H J, Wu C S. Crown-level tree species classification from AISA hyperspectral imagery using an innovative pixel-weighting approach[J]. International Journal of Applied Earth Observation and Geoinformation, 68, 298-307(2018).

[12] Cho M A, Debba P, Mathieu R et al. Improving discrimination of savanna tree species through a multiple-endmember spectral angle mapper approach: canopy-level analysis[J]. IEEE Transactions on Geoscience and Remote Sensing, 48, 4133-4142(2010). http://www.cabdirect.org/abstracts/20123348790.html

[13] Pinacho-Pinacho C D, García-Varela M, Sereno-Uribe A L et al. . A hyper-diverse genus of Acanthocephalans revealed by tree-based and non-tree-based species delimitation methods: ten cryptic species of Neoechinorhynchus in Middle American freshwater fishes[J]. Molecular Phylogenetics and Evolution, 127, 30-45(2018).

[14] Åkerblom M, Raumonen P, Mäkipää R et al. Automatic tree species recognition with quantitative structure models[J]. Remote Sensing of Environment, 191, 1-12(2017). http://www.sciencedirect.com/science/article/pii/S0034425716304746

[15] do Amaral C H et al. . Characterization of indicator tree species in neotropical environments and implications for geological mapping[J]. Remote Sensing of Environment, 216, 385-400(2018).

[16] Strnad D, Kohek Š. Kolmani S. Fuzzy modelling of growth potential in forest development simulation[J]. Ecological Informatics, 48, 80-88(2018). http://www.onacademic.com/detail/journal_1000040414624210_3294.html

[17] Piiroinen R, Fassnacht F E, Heiskanen J et al. Invasive tree species detection in the Eastern Arc Mountains biodiversity hotspot using one class classification[J]. Remote Sensing of Environment, 218, 119-131(2018).

[18] Heinzel J, Koch B. Corrigendum to “investigating multiple data sources for tree species classification in temperate forest and use for single tree delineation”[J]. International Journal of Applied Earth Observation and Geoinformation, 21, 101-110(2013).

[19] Huang Z W, Liu F, Hu G W. Improved method for LiDAR point cloud data filtering based on hierarchical pseudo-grid[J]. Acta Optica Sinica, 37, 0828004(2017).

[20] Teng W X, Wen X R, Wang N et al. Individual tree crown extraction in high resolution remote sensing image based on iterative H-minima improved watershed algorithm[J]. Laser & Optoelectronics Progress, 55, 122802(2018).

[21] Yun T, An F, Li W Z et al. A novel approach for retrieving tree leaf area from ground-based LiDAR[J]. Remote Sensing, 8, 942(2016). http://www.tandfonline.com/servlet/linkout?suffix=CIT0012&dbid=16&doi=10.1080%2F2150704X.2018.1444286&key=10.3390%2Frs8110942