[1] JONES T G, COOPS N C, SHARMA T. Assessing the utility of airborne hyperspectral and LiDAR data for species distribution mapping in the coastal Pacific Northwest, Canada[J]. Remote Sens Environ, 2010, 114(12):2841-2852.
[2] FALKOWSKI M J, HUDAK A T, CROOKSTON N L, et al. Landscape-scale parameterization of a tree-level forest growth model:a k-nearest neighbor imputation approach incorporating LiDAR data[J]. Can J For Res, 2010, 40(2):184-199.
[3] YU Xiaowei, HYYPPÄJ, KAARTINEN H, et al. Automatic detection of harvested trees and determination of forest growth using airborne laser scanning[J]. Remote Sens Environ, 2004, 90(4):451-462.
[4] 王妮, 彭世揆, 李明诗.基于树种分类的高分辨率遥感数据纹理特征分析[J].浙江农林大学学报, 2012, 29(2):210-217.

WANG Ni, PENG Shikui, LI Mingshi. High-resolution remote sensing of textural images for tree species classification[J]. J Zhejiang A&F Univ, 2012, 29(2):210-217.
[5] LEFSKY M A, COHEN W B, PARKER G G, et al. LiDAR remote sensing for ecosystem studies[J]. BioScience, 2002, 52(1):19-30.
[6] ASNER G P, KNAPP D E, KENNEDY-BOWDOIN T, et al. Invasive species detection in Hawaiian rainforests using airborne imaging spectroscopy and LiDAR[J]. Remote Sens Environ, 2008, 112(5):1942-1955.
[7] 刘丽娟, 庞勇, 范文义, 等.机载LiDAR和高光谱融合实现温带天然林树种识别[J].遥感学报, 2013, 17(3):679-695.

LIU Lijuan, PANG Yong, FAN Wenyi, et al. Fused airborne LiDAR and hyperspectral data for trees pecies identification in a natural temperate forest[J]. J Remote Sens, 2013, 17(3):679-695.
[8] 董彦芳, 庞勇, 许丽娜, 等.高光谱遥感影像与机载LiDAR数据融合的地物提取方法研究[J].遥感信息, 2014, 29(6):73-76.

DONG Yanfang, PANG Yong, XU Lina, et al. Feature extraction based on fusion of hyperspectral image and airborne LiDAR data[J]. Remote Sens Inf, 2014, 29(6):73-76.
[9] CAO Lin, COOPS N C, INNES J L, et al. Tree species classification in subtropical forests using small-footprint full-waveform LiDAR data[J]. Int J Appl Earth Obs, 2016, 49:39-51.
[10] ALONZO M, BOOKHAGEN B, ROBERTS D A. Urban tree species mapping using hyperspectral and lidar data fusion[J]. Remote Sens Environ, 2014, 148:70-83.
[11] DALPONTE M, BRUZZONE L, GIANELLE D. Fusion of hyperspectral and LIDAR remote sensing data for classification of complex forest areas[J]. IEEE Trans Geosci Remote Sens, 2008, 46(5):1416-1427.
[12] 王春来, 张森原, 崔璐, 等.训练样本数量选择和总体分类精度的关系研究[J].河南城建学院学报, 2015, 24(3):51-55.

WANG Chunlai, ZHANG Senyuan, CUI Lu, et al. Relationship between number of training samples selection and accuracy of overall classification[J]. J Henan Univ Urban Cunstruct, 2015, 24(3):51-55.
[13] PANG Yong, LI Zengyuan, JU Hongbo, et al. LiCHy:The CAF's LiDAR, CCD and hyperspectral integrated airborne observation system[J]. Remote Sens, 2016, 8(5):398. doi:10.3390/rs8050398.
[14] 郝建亭, 杨武年, 李玉霞, 等.基于FLAASH的多光谱影像大气校正应用研究[J].遥感信息, 2008(1):78-81.

HAO Jianting, YANG Wunian, LI Yuxia, et al. Atmospheric correction of multi-spectral imagery ASTER[J]. Remote Sens Inf, 2008(1):78-81.
[15] GEORGE R, PADALIA H, KUSHWAHA S P S. Forest tree species discrimination in western Himalaya using EO-1 Hyperion[J]. Int J Appl Earth Obs, 2014, 28(1):140-149.
[16] 冯云云, 刘丽娟, 陆灯盛, 等.基于曲线误差指数的高光谱降维方法评价指标研究[J].浙江农林大学学报, 2017, 34(5):765-774.

FENG Yunyun, LIU Lijuan, LU Dengsheng, et al. A comparative study of reduction methods for airborne hyperspectral images[J]. J Zhejiang A&F Univ, 2017, 34(5):765-774.
[17] GREEN P E, CAROLL J D. Analyzing Multivariate Data[M]. Illinois:The Dryden Press, 1978.
[18] DYE M, MUTANGA O, ISMAIL R. Examining the utility of random forest and AISA Eagle hyperspectral image data to predict Pinus patula age in KwaZulu-Natal, South Africa[J]. Geocarto Int, 2011, 26(4):275-289.
[19] 杜朋选. 川滇高山栎生理活动对不同程度水分胁迫的反射光谱响应[D]. 北京: 中国林业科学研究院, 2011.

DU Pengxuan. Quercus aquifoliodes Physical Activity in Response to Different Degrees of Water Stress on the Reflection Spectral[D]. Beijing: Chinese Academy of Forestry, 2011.