ABOVEGROUND BIOMASS ESTIMATION IN TROPICAL FORESTS AT SINGLE TREE LEVEL WITH ALS DATA

被引:1
|
作者
Dalponte, Michele [1 ,2 ]
Jucker, Tommaso [2 ]
Burslem, David F. R. P. [3 ]
Lewis, Simon L. [4 ]
Nilus, Reuben [5 ]
Phillips, Oliver [4 ]
Qie, Lan [4 ]
Coomes, David A. [2 ]
机构
[1] Fdn E Mach, Res & Innovat Ctr, Dept Sustainable Agroecosyst & Bioresources, Via E Mach 1, I-38010 San Michele All Adige, TN, Italy
[2] Univ Cambridge, Dept Plant Sci, Forest Ecol & Conservat Grp, Downing St, Cambridge CB2 3EA, England
[3] Univ Aberdeen, Sch Biol Sci, Zool Bldg,Tillydrone Ave, Aberdeen AB24 2TZ, Scotland
[4] Univ Leeds, Sch Geog, Leeds LS2 9JT, W Yorkshire, England
[5] Forest Res Ctr, Sabah Forestry Dept, POB 1407, Sandakan Sabah 90715, Malaysia
基金
英国自然环境研究理事会;
关键词
aboveground biomass; LiDAR; ALS; tropical forest; MODELS;
D O I
10.1109/IGARSS.2016.7730390
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper we present a study on the estimation of the aboveground biomass in tropical forests at single tree level using airborne laser scanning (ALS) data. Individual tree crowns (ITCs) are firstly detected using a method based on an adaptive window that change its size according to tree height. The diameter at breast height (DBH) and the aboveground biomass (AGB) of each ITC then are predicted using standard allometric models. Lastly, the AGB values are aggregated at plot level, and compared with field measured values. The results show that it is possible to accurately predict the aboveground biomass of tropical forests at single tree level using ALS data.
引用
收藏
页码:5334 / 5337
页数:4
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