Forest and Grassland Resources Research >
Design and Application of Forest Detecting Based on Airborne Large-Footprint LiDAR System
Received date: 2018-06-01
Revised date: 2018-06-29
Online published: 2020-09-25
LiDAR(Light Laser Detection and Ranging)are drawing more attention with its unique penetration for the detection of large areas of forest.Based on the large-footprint LiDAR system designed by Academy of Forest Inventory and Planning of State Forestry Administration and Beijing Telemetry Technology Research Institute,this paper introduced the working principle of the system,module composition,equipment installation,parameter design,data processing,etc.,and one flight test data of the system was analyzed.The results show that the waveform data obtained through this system can describe buildings,farmland and forest accurately.In addition,compared with the data collected by the small-footprint LiDAR,the overall average accuracy is 89.24%,which proves this system has a high precision in the description of maximum crown height.The result of paired sample T test with no significance of difference also proves the data obtained through the system has a unique performance of estimation in maximum canopy height of the forest.Therefore,the large-footprint LiDAR system can be used to estimate large areas of forest for maximum height,average height,crown density,biomass,volume,leaf area index and a series of forest parameters in the detection of forest in the future.
Key words: forestry; airborne; large-footprint LiDAR; design; application; maximum height
Fayun WU , Xianlian GAO , Chao PAN , Zhongqiu SUN , Lidong WANG , Yingchun LIU . Design and Application of Forest Detecting Based on Airborne Large-Footprint LiDAR System[J]. Forest and Grassland Resources Research, 2018 , 0(4) : 125 -132 . DOI: 10.13466/j.cnki.lyzygl.2018.04.020
| [1] | 邢艳秋, 王蕊, 李增元. 基于星载雷达全波形数据估测森林结构参数研究综述[J]. 世界林业研究, 2013(6):27-32. |
| [2] | ZENG Yuan, Michael Yuan, Schaepman E, et al. Forest structural variables retrieval using EO-1 hyperion data in combination with linear spectral unmixing and an inverted geometric-optical model[J]. Journal of Remote Sensing, 2007,11(5):648-658. |
| [3] | 庞勇, 李增元, Michael Lefsky, 等. 地形对大光斑激光雷达森林回波影响研究[J]. 林业科学研究, 2007(4):464-468. |
| [4] | Jing Z, Jing L I. Review of forest vertical structure parameter inversion based on remote sensing technology[J]. Journal of Remote Sensing, 2013,17(4):697-716. |
| [5] | 张智宇, 王虹, 张文豪, 等. 卫星激光测高植被目标回波的半解析仿真模型[J]. 测绘学报, 2018,47(2):142-152. |
| [6] | Hofton M A, Minster J B, Blair J B. Decomposition of laser altimeter waveforms[J]. IEEE Transactions on Geoscience & Remote Sensing, 2000,38(4):1989-1996. |
| [7] | 胡艳, 王迪, 刘凌菲, 等. 利用大光斑激光雷达估测小兴安岭平均树高[J]. 安徽农业科学, 2014(15):4707-4709. |
| [8] | Lefsky M A, Keller M, Pang Y, et al. Revised method for forest canopy height estimation from Geoscience Laser Altimeter System waveforms[J]. Journal of Applied Remote Sensing, 2007,1(1):6656-6659. |
| [9] | 王蕊, 邢艳秋, 邱赛, 等. 基于ICESat-GLAS全波形数据的坡地森林冠层高度估测[J]. 安徽农业科学, 2014(9):2790-2793. |
| [10] | Lefsky M A. A global forest canopy height map from the Moderate Resolution Imaging Spectrora diometer and the Geoscience Laser Altimeter System[J]. Geophysical Research Letters, 2010,37(15):78-82. |
| [11] | Simard M, Pinto N, Fisher J B, et al. Mapping forest canopy height globally with spaceborne LiDAR[J]. Journal of Geophysical Research Biogeosciences, 2015,116(G4):4021. |
| [12] | 董立新, 戎志国, 李贵才, 等. 吉林长白山森林冠顶高度激光雷达与MERSI联合反演[J]. 武汉大学学报:信息科学版, 2011(9):1020-1024. |
| [13] | 吴迪. 基于GLAS和MISR数据的森林冠层高度和地上生物量遥感估算研究[D]. 哈尔滨:东北林业大学, 2015. |
| [14] | 王蕊, 邢艳秋, 王立海, 等. 联合星载ICESat-GLAS波形与多光谱Landsat-TM影像的森林郁闭度估测[J]. 应用生态学报, 2015(6):1657-1664. |
| [15] | García M, Popescu S, Ria?o D, et al. Characterization of Canopy Fuels using ICESat/GLAS Data[J]. Remote Sensing of Environment, 2012,123(1):81-89. |
| [16] | 刘美爽, 邢艳秋, 李立存, 等. 基于星载激光雷达数据和支持向量分类机方法的森林类型识别[J]. 东北林业大学学报, 2014(2):124-128. |
| [17] | 吴红波. 基于星载大光斑LiDAR数据反演森林冠层高度及应用研究[D]. 哈尔滨:东北林业大学, 2011. |
| [18] | 于颖, 范文义, 李明泽, 等. 利用大光斑激光雷达数据估测树高和生物量[J]. 林业科学, 2010(9):84-87. |
| [19] | Baccini A, Laporte N, Goetz S J, et al. A first map of tropical africa’s above-ground biomass derived from satellite imagery[J]. Environmental Research Letters, 2008,3(4):45011-45019. |
| [20] | 黄克标, 庞勇, 舒清态, 等. 基于ICESat GLAS的云南省森林地上生物量反演[J]. 遥感学报, 2013,17(1):169-183. |
| [21] | Ip A, Elsheimy N, Mostafa M. Performance analysis of integrated sensor orientation[J]. Photogrammetric Engineering & Remote Sensing, 2007,73(1):89-97. |
| [22] | 孙红星, 袁修孝, 付建红. 航空遥感中基于高阶INS误差模型的GPS/INS组合定位定向方法[J]. 测绘学报, 2010,39(1):28-33. |
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