[1] BADHWAR G D. Classification of corn and soybeans using multitemporal thematic mapper data[J]. Remote Sensing Environ, 1984, 16(2): 175-181.
[2] McDONALD A J, GEMMELL F M, LEWIS P E. Investigation of the utility of spectral vegetation indices for determining information on coniferous forests[J]. Remote Sensing Environ, 1998, 66(3): 250-272.
[3] NEMANI R, RUNNING S. Land cover characterization using multitemporal red, near-IR, and thermal-IR sta from NOAA/AVHRR[J]. Ecol Appl, 1997, 7(1): 79. doi: 10.2307/2269408.
[4] 赵东方.基于SPOT 5影像针叶林信息提取:以攸县黄丰桥林场为例[J].中南林业调查规划, 2013, 32(3): 36-40.

ZHAO Dongfang. Coniferous forest information extraction based on the SPOT 5 images: case of Huangfengqiao Forestry Farm[J]. Cent South For Invent Plann, 2013, 32(3): 36-40.
[5] 王敏, 李凤日, 王二丽, 等.基于大比例尺航片的针叶树种分类[J].东北林业大学学报, 2011, 39(11): 117-121.

WANG Min, LI Fengri, WANG Erli, et al. Classification of coniferous species based on large-scale aerial photographs[J]. J Northeast For Univ, 2011, 39(11): 117-121.
[6] 马延辉.南方针叶林遥感信息提取研究[D].长沙: 中南林业科技大学, 2010.

MA Yanhui. Study on Extraction of Coniferous Forest Information in South China [D]. Changsha: Central South University of Foresty & Technology, 2010.
[7] 张士亮.辽宁抚顺落叶松人工林单木生物量回归模型分析[J].防护林科技, 2017(11): 5-8, 20

ZHANG Shiliang. Regression model of Larix gmelinii plantation in Wendao Forest Farm of Fushun Country of Liaoning Province[J]. Prot For Sci Technol, 2017(11): 5-8, 20.
[8] 唐月坤, 王嗣奇, 张彦东.氮磷施肥对落叶松叶片非结构性碳浓度的影响[J].森林工程, 2018(4): 1-6.

TANG Yuekun, WANG Siqi, ZHANG Yandong. Effect of nitrogen and phosphorus fertilizers on foliar non-structural carbohydrates concentration in Larix olgensis[J]. For Eng, 2018(4): 1-6.
[9] KITAOKA S, KOIKE T. Invasion of broad-leaf tree species into a larch plantation: seasonal light environment, photosynthesis and nitrogen allocation[J]. Physiol Plant, 2010, 121(4): 604-611.
[10] 孙国龙, 李文博, 黄选瑞, 等.华北落叶松人工林天然更新及与土壤因子的关系[J].安徽农业大学学报, 2017, 44(6): 1047-1051.

SUN Guolong, LI Wenbo, HUANG Xuanrui, et al. Natural regeneration of the Larix principis-rupprechtii plantation and its relation to the soil factors[J]. J Anhui Agric Univ, 2017, 44(6): 1047-1051.
[11] 李晓莎, 许晴, 许中旗, 等.冀北山地华北落叶松人工林土壤养分的变化规律[J].西北林学院学报, 2016, 31(0): 23-28.

LI Xiaosha, XU Qing, XU Zhongqi, et al. Changes of soil nutrients in Larix principis-rupprechtii plantations in North Mountain of Hebei[J]. J Northwest For Univ, 2016, 31(5): 23-28.
[12] 付晓霞, 王志明, 王选遥, 等.落叶松落叶病和枯梢病合并防治研究[J].吉林林业科技, 2016, 45(2): 30-34, 40.

FU Xiaoxia, WANG Zhiming, WANG Xuanyao, et al. The combination control research of Mycosphaerella laricis-leptolepiis and Botryosphaeria laricina[J]. J Jilin For Sci Technol, 2016, 45(2): 30-34, 40.
[13] 赵英时.遥感应用分析原理与方法[M].北京:科学出版社, 2003.
[14] 陈亮, 刘希, 张元.结合光谱角的最大似然法遥感影像分类[J].测绘工程, 2007(3): 40-42, 47.

CHEN Liang, LIU Xi, ZHANG Yuan. A study of image classification based on MLC combined with spectral angle[J]. Eng Surv Mapp, 2007(3): 40-42, 47.
[15] 陆晓果, 王同科, 梁社芳, 等.最大似然分类的训练样本敏感度研究[J].中国农业信息, 2018, 30(2): 80-89.

LU Xiaoguo, WANG Tongke, LIANG Shefang, et al. Study on training sample sensitivity of maximum likelihood classification[J]. China Agric Inf, 2018, 30(2): 80-89.
[16] 王振武, 孙佳骏, 于忠义, 等.基于支持向量机的遥感图像分类研究综述[J].计算机科学, 2016, 43(9): 11-17, 31.

WANG Zhenwu, SUN Jiajun, YU Zhongyi, et al. Review of remote sensing image classification based on support vector machine[J]. Comput Sci, 2016, 43(9): 11-17, 31.
[17] 孙继平, 佘杰.基于支持向量机的煤岩图像特征抽取与分类识别[J].煤炭学报, 2013, 38(增刊2): 508-512.

SUN Jiping, SHE Jie. Coal-rock imagefeature extraction and recognition based on support vector machine[J]. J China Coal Soc, 2013, 38(suppl 2): 508-512.
[18] 李梦颖, 邢艳秋, 刘美爽, 等.基于支持向量机的Landsat 8影像森林类型识别研究[J].中南林业科技大学学报, 2017, 37(4): 52-58.

LI Mengying, XING Yanqiu, LIU Meishuang, et al. Identification of forest type with Landsat 8 image based on SVM[J]. J Cent South Univ For Technol, 2017, 37(4): 52-58.
[19] 梁继, 王建, 王建华.基于光谱角分类器遥感影像的自动分类和精度分析研究[J].遥感技术与应用, 2002(6): 299-303, 405.

LIANG Ji, WANG Jian, WANG Jianhua. Automatic classification and precision analysis of remote sensing images based on spectral angle classifier[J]. Remote Sensing Technol Appl, 2002(6): 299-303, 405.
[20] 杨宝林, 张国丽.改进的光谱角法在Landsat 8 OLI影像土地利用分类中的应用[J].航天返回与遥感, 2015, 36(6): 80-86.

YANG Baolin, ZHANG Guoli. The application of improved spectral angle mapper in land use classification using Landsat 8 OLI Image[J]. Spacecr Recovery Remote Sensing, 2015, 36(6): 80-86.
[21] 臧守信.多源遥感森林碳储量估测系统研发及应用[D].西安: 西安科技大学, 2017.

ZANG Shouxin. Research and Application of Multi-source Remote Sensing Forest Carbon Storage Estimation System[D]. Xi'an: Xi'an University of Science and Technology, 2017.