Stand volume estimation by combining low laser-sampling density LiDAR data with QuickBird panchromatic imagery in closed-canopy Japanese cedar (Cryptomeria japonica) plantations

被引:28
|
作者
Takahashi, Tomoaki [1 ]
Awaya, Yoshio [2 ]
Hirata, Yasumasa [1 ]
Furuya, Naoyuki [3 ]
Sakai, Toru [4 ]
Sakai, Atsushi [3 ]
机构
[1] Forestry & Forest Prod Res Inst, Tsukuba, Ibaraki 3058687, Japan
[2] Gifu Univ, River Basin Res Ctr, Gifu 5011193, Japan
[3] Japan Int Res Ctr Agr Sci, Tsukuba, Ibaraki 3058686, Japan
[4] Natl Inst Humanities, Res Inst Humanity & Nat, Kita Ku, Kyoto 6038047, Japan
关键词
TREE HEIGHT; STEM VOLUME; DON; D; PLANTATIONS; SCANNING LASER; BASAL AREA; PREDICTION; BIOMASS; SIZE;
D O I
10.1080/01431160903380623
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
This study proposes a simple method for stand volume estimation by combining low laser-sampling density Light Detection and Ranging (LiDAR) data (i.e. 1 hit per 4 m(2)) with high-resolution optical imagery (i.e. 0.6 m) in coniferous plantations. The study area was in closed-canopy, mountainous, Japanese cedar (Cryptomeria japonica) plantations on undulating terrain at an elevation of 135-391 m above sea level. A total of 25 circular plots (0.04 ha) were established and stand volumes within plots were investigated in the field. The field-measured, plot-level stand volume ranged from 262.8 to 984.0 m(3) ha(-1) and the average value was 555.7 m(3) ha(-1). We used the measurements as validation data to evaluate estimates derived from an empirical regression model that was constructed on the basis of the allometry between crown diameter and diameter at breast height (DBH) from previous research. As a result, stand volume at various stand conditions could be estimated precisely regardless of different laser footprint sizes of 0.16-0.47 m when combining low-density LiDAR data with QuickBird panchromatic imagery. The maximum random error and root mean square error (RMSE) in stand volume estimates by data combination were 10% and 39% of the average stand volume, respectively. Thus, this method based on allometry and using low-density LiDAR data and high-resolution optical imagery could be capable of offering precise stand volume estimates in coniferous forests in different localities.
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页码:1281 / 1301
页数:21
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