Application of UAV Photogrammetric System for Monitoring Ancient Tree Communities in Beijing

被引:28
作者
Qiu, Zixuan [1 ]
Feng, Zhong-Ke [1 ]
Wang, Mingming [1 ]
Li, Zhenru [2 ]
Lu, Chao [3 ]
机构
[1] Beijing Forestry Univ, Precis Forestry Key Lab Beijing, Beijing 100083, Peoples R China
[2] Daxing Dist Gardening & Greening Bur, Beijing 102600, Peoples R China
[3] Beijing Daxing Fruit & Forestry Inst, Beijing 102600, Peoples R China
基金
中国国家自然科学基金;
关键词
UAV photogrammetry; forest modeling; ancient trees measurement; tree age prediction; STRUCTURE-FROM-MOTION; AIRBORNE LIDAR DATA; CANOPY HEIGHT; BUNDLE ADJUSTMENT; INDIVIDUAL TREES; SELF-CALIBRATION; AERIAL IMAGES; FOREST; GROWTH; VOLUME;
D O I
10.3390/f9120735
中图分类号
S7 [林业];
学科分类号
0829 ; 0907 ;
摘要
Ancient tree community surveys have great scientific value to the study of biological resources, plant distribution, environmental change, genetic characteristics of species, and historical and cultural heritage. The largest ancient pear tree communities in China, which are rare, are located in the Daxing District of Beijing. However, the environmental conditions are tough, and the distribution is relatively dispersed. Therefore, a low-cost, high-efficiency, and high-precision measuring system is urgently needed to complete the survey of ancient tree communities. By unmanned aerial vehicle (UAV) photogrammetric program research, ancient tree information extraction method research, and ancient tree diameter at breast height (DBH) and age prediction model research, the proposed method can realize the measurement of tree height, crown width, and prediction of DBH and tree age with low cost, high efficiency, and high precision. Through experiments and analysis, the root mean square error (RMSE) of the tree height measurement was 0.1814 m, the RMSE of the crown width measurement was 0.3292 m, the RMSE of the DBH prediction was 3.0039 cm, and the RMSE of the tree age prediction was 4.3753 years, which could meet the needs of ancient tree survey of the Daxing District Gardening and Greening Bureau. Therefore, a UAV photogrammetric measurement system proved to be capable when applied in the survey of ancient tree communities and even in partial forest inventories.
引用
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页数:25
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共 65 条
[51]  
[邱梓轩 Qiu Zixuan], 2017, [农业机械学报, Transactions of the Chinese Society for Agricultural Machinery], V48, P202
[52]  
[邱梓轩 Qiu Zixuan], 2017, [农业机械学报, Transactions of the Chinese Society for Agricultural Machinery], V48, P179
[53]   Assessing Handheld Mobile Laser Scanners for Forest Surveys [J].
Ryding, Joseph ;
Williams, Emily ;
Smith, Martin J. ;
Eichhorn, Markus P. .
REMOTE SENSING, 2015, 7 (01) :1095-1111
[54]   UAV lidar and hyperspectral fusion for forest monitoring in the southwestern USA [J].
Sankey, Temuulen ;
Donager, Jonathon ;
McVay, Jason ;
Sankey, Joel B. .
REMOTE SENSING OF ENVIRONMENT, 2017, 195 :30-43
[55]   UAV hyperspectral and lidar data and their fusion for arid and semi-arid land vegetation monitoring [J].
Sankey, Temuulen T. ;
McVay, Jason ;
Swetnam, Tyson L. ;
McClaran, Mitchel P. ;
Heilman, Philip ;
Nichols, Mary .
REMOTE SENSING IN ECOLOGY AND CONSERVATION, 2018, 4 (01) :20-33
[56]   Structure from motion photogrammetry in physical geography [J].
Smith, M. W. ;
Carrivick, J. L. ;
Quincey, D. J. .
PROGRESS IN PHYSICAL GEOGRAPHY-EARTH AND ENVIRONMENT, 2016, 40 (02) :247-275
[57]   Characterizing the Height Structure and Composition of a Boreal Forest Using an Individual Tree Crown Approach Applied to Photogrammetric Point Clouds [J].
St-Onge, Benoit ;
Audet, Felix-Antoine ;
Begin, Jean .
FORESTS, 2015, 6 (11) :3899-3922
[58]   Small area estimations of proportion of forest and timber volume combining Lidar data and stereo aerial images with terrestrial data [J].
Steinmann, Katharina ;
Mandallaz, Daniel ;
Ginzler, Christian ;
Lanz, Adrian .
SCANDINAVIAN JOURNAL OF FOREST RESEARCH, 2013, 28 (04) :373-385
[59]   Retrieval of forest structural parameters using LiDAR remote sensing [J].
van Leeuwen, Martin ;
Nieuwenhuis, Maarten .
EUROPEAN JOURNAL OF FOREST RESEARCH, 2010, 129 (04) :749-770
[60]   The nature of tree growth and the "age-related decline in forest productivity" [J].
Weiner, J ;
Thomas, SC .
OIKOS, 2001, 94 (02) :374-376