[1] |
Villanueva M, Proupín J, Rodríguez-Añón J A, et al. Energetic characterization of forest biomass by calorimetry and thermal analysis[J]. Journal of Thermal Analysis and Calorimetry, 2011, 104(1): 61-67.
DOI
URL
|
[2] |
孟宪宇. 2006. 测树学. 北京: 中国林业出版社.
|
|
MENG Xianyu. 2006. Dendrometry. Beijing: China Forestry Publishing House.
|
[3] |
丛沛桐, 祖元刚, 王瑞兰. GIS与ANN整合技术在森林资源蓄积量预测中的应用[J]. 地理科学, 2004, 24(5):591-596.
|
|
CONG Peitong, ZU Yuangang, WANG Ruilan, etc. The application of GIS and ANN integration technology in the prediction of forest reserves[J]. Geographical Sciences, 2004, 24(5): 591-596.
|
[4] |
李明辉, 何风华, 刘云, 等. 天山云杉种群空间格局与动态[J]. 生态学报, 2005, 25(5): 1000-1006.
|
|
LI Minghui, HE Fenghua, LIU Yun, et al. Spatial distribution pattern of tree individuals in the Picea Schrenkiana var tianshanica[J]. Acta Ecologica Sinica, 2005, 25(5): 1000-1006.
|
[5] |
王雅佩, 王振锡, 刘梦婷, 等. 基于无人机影像天山云杉林主伐迹地提取研究[J]. 新疆农业科学, 2019, 56(7): 1315-1327.
DOI
|
|
WANG Yapei, WANG Zhenxi, LIU Mengting, et al. Research on estimation of stand density of regenerate Picea Schrenkiana var tianshanica based on UAV Image[J]. Xinjiang Agricultural Sciences, 2019, 56(7): 1315-1327.
DOI
|
[6] |
吴娇娇, 张亚红, 杨凯博, 等. 机载激光雷达在林业中的应用[J]. 安徽农业科学. 2016, 44(35): 209-212.
|
|
WU Jiaojiao, ZHANG Yahong, YANG Kaibo, et al. Application of airborne lidar in forestry[J]. Journal of Anhui Agricultural Sciences. 2016, 44(35): 209-212.
|
[7] |
Nsset E, Gobakken T. Estimation of above-and below-ground bio-mass across regions of the boreal forest zone using airborne laser[J]. Remote Sensing of Environment, 2008, 112(60): 3079-3090.
DOI
URL
|
[8] |
洪奕丰, 张守功, 陈伟, 等. 基于机载激光雷达的落叶松组分生物量反演[J]. 林业科学研究, 2019, 32(5): 83-90.
|
|
HONG Yifeng, ZHANG Shougong, CHEN Wei, et al. Retrieval of larch component biomass based on airborne lidar[J]. Forestry Science Research, 2019, 32(5): 83-90.
|
[9] |
Naesset E. Predicting forest stand characteristics with airborne scanning lase using a practical two-stage procedure and field data[J]. Remote Sensing of Environment, 2002, 80(1): 88-99.
DOI
URL
|
[10] |
穆喜云, 张秋良, 刘清旺, 等. 基于机载LiDAR数据的林分平均高及郁闭度反演[J]. 东北林业大学学报, 2015, 43(9): 84-89.
|
|
MU Xiyun, ZHANG Qiuliang, LIU Qingwang, et al. Inversion of forest height and canopy closure using airborne lidar data Inversion of average stand height and canopy closure based on airborne LiDAR data[J]. Journal of Northeast Forestry University, 2015, 43(9): 84-89.
|
[11] |
Wallace L, Lucieer A, Watson C, et al. Development of a UAV-Li-DAR system with application to forest inventory[J]. Remote Sensing, 2012, 4: 1519-1543.
DOI
URL
|
[12] |
Argialis A, Erfanifard Y, Dehghani M, et al. Woodland mapping atsingle-tree levels using object-oriented classification of Unmanned Aerial Vehicle images[J]. Remote Sensing and Spatial Information Sciences, 2017,(4): 43-49.
|
[13] |
吕金城, 王振锡, 杨勇强. 基于无人机影像的天山云杉林树高提取及蓄积量的反演[J]. 新疆农业科学, 2021, (10):2-9.
|
|
LU Jincheng, WANG Zhenxi, YANG Yongqiang, etc. The height extraction and stock volume inversion of Tianshan spruce forest based on UAV images[J]. Xinjiang Agricultural Sciences, 2021, (10): 2-9.
|
[14] |
KRAUS K, PFEIFER N. Determination of terrain models in wooded areas with airborne laser scanner data[J]. ISPRS Journal of Photogrammetry & Remote Sensing, 1998, 53(4):193-203.
|
[15] |
庞勇, 李增元, 陈尔学, 等. 激光雷达技术及其在林业上的应用[J]. 林业科学, 2005, 41(3):129-136.
|
|
PANG Yong, LI Zengyuan, CHEN Erxue, et al. Lidar technology and its application in forestry[J]. Forestry Science, 2005, 41(3):129-136.
|
[16] |
马利群, 李爱农. 激光雷达在森林垂直结构参数估算中的应用[J]. 世界林业研究, 2011, 24(1):41-45.
|
|
MA Liqun, LI Ainong. The application of lidar in the estimation of forest vertical structure parameters[J]. World Forestry Research, 2011, 24(1):41-45.
|
[17] |
何祺胜, 陈尔学, 曹春香, 等. 基于LIDAR数据的森林参数反演方法研究[J]. 地球科学进展, 2009(7):748-755.
|
|
He Qisheng, Chen Erxue, Cao Chunxiang, et al. Research on forest parameter inversion method based on LIDAR data[J]. Progress in Earth Science, 2009 (7): 748-755
|
[18] |
马骧, 姜文龙, 闫保银, 等. 基于机载激光雷达的国外松片林蓄积量反演研究[J]. 江苏林业科技, 2021, 48( 3) : 32-37.
|
|
MA Xiang, JIANG Wenlong, YAN Baoyin, et al. Foreign Pine Forest Volume Inversion Research Based on Airborne Lidar[J]. Jiangsu Forestry Science and Technology, 2021, 48(3): 32-37.
|