Chinese Journal of Plant Ecology >
Estimates of subtropical forest biomass based on airborne LiDAR and Landsat 8 OLI data
# Co-first authors
Received date: 2014-10-11
Accepted date: 2015-02-15
Online published: 2015-04-21
Estimating forest biomass at regional scale with high accuracy is among the pressing challenges in evaluating ecosystem functions and characteristics (e.g., carbon storage).
This study is based on airborne small-footprint discrete-return LiDAR data, Landsat 8 OLI multispectral data, and in situ measurements from 55 forest plots in Yushan, Changshu, Jiangsu Province. A total of 87 independent variables (53 from OLI metrics and 34 from LiDAR metrics) were used in the Pearson correlation analysis for estimating aboveground (WA) and belowground (WB) biomass by identifying the significant independent variables. Three independent models by using OLI, LiDAR and their combinations (i.e., the combo model) were established through stepwise regression analysis.
The correlation coefficients of determination (R2) for WA and WB models are greater than 0.4. The R2 seemed much higher when the estimations were type-specific (e.g., coniferous, broad-leaf and mixed forest), with R2 of >0.67. The Combo model by forest type yielded an R2 of 0.88 for WA and 0.92 for WB, while the OLI-based model had R2 of 0.73 and 0.81 for WA and WB, respectively. The LiDAR-based model has R2 of 0.86 and 0.83 for WA and WB, respectively.
XU Ting,CAO Lin,SHEN Xin,SHE Guang-Hui . Estimates of subtropical forest biomass based on airborne LiDAR and Landsat 8 OLI data[J]. Chinese Journal of Plant Ecology, 2015 , 39(4) : 309 -321 . DOI: 10.17521/cjpe.2015.0030
| [1] | Cao L, Coops NC, Innes J, Dai JS, She GH (2014a). Mapping above- and below-ground biomass components in subtropical forests using small-footprint LiDAR.Forests, 5, 1356-1373. |
| [2] | Cao L, Coops NC, Hermosilla T, Innes J, Dai JS, She GH (2014b). Using small-footprint discrete and full-waveform airborne LiDAR metrics to estimate total biomass and biomass components in subtropical forests.Remote Sensing, 6, 7110-7135. |
| [3] | Cao L, Dai JS, Xu JX, Xu ZQ, She GH (2014). Optimized extraction of forest parameters in subtropical forests based on airborne small footprint LiDAR technology.Journal of Beijing Forestry University, 36(5), 13-21.(in Chinese with English abstract) |
| [3] | [曹林, 代劲松, 徐建新, 许子乾, 佘光辉 (2014). 基于机载小光斑LiDAR技术的亚热带森林参数信息优化提取. 北京林业大学学报, 36(5), 13-21.] |
| [4] | Dixon RK, Solomon AM, Brown S, Houghton RA, Trexier MC, Wisniewski J (1994). Carbon pools and flux of global forest ecosystems.Science, 263, 185-190. |
| [5] | Dong LX (2008). Estimation of Forest Canopy Height and Biomass in Three Gorges Reservoir Area Based on Multi-source Remote Sensing Data. PhD dissertation, Graduate University of Chinese Academy of Sciences, Beijing.(in Chinese) |
| [5] | [董立新 (2008). 基于多源遥感数据的三峡库区森林冠层高度与生物量估算方法研究. 博士学位论文, 中国科学院研究生院, 北京.] |
| [6] | Dubayah RO, Drake JB (2000). Lidar remote sensing for forestry.Journal of Forestry, 98(6), 44-46. |
| [7] | Fang JY, Chen AP, Zhao SQ, Ci LJ (2002). Estimating biomass carbon of China’s forests: Supplementary notes on report published in Science (291: 2320-2322) by FANG et al. (2001).Acta Phytoecologica Sinica, 26, 243-249.(in Chinese with English abstract) |
| [7] | [方精云, 陈安平, 赵淑清, 慈龙俊 (2002). 中国森林生物量的估算: 对Fang等Science一文(Science, 2001, 291: 2320-2322)的若干说明. 植物生态学报, 26, 243-249.] |
| [8] | Fang JY, Wang W (2007). Soil respiration as a key below ground process: issues and perspectives. Journal of Plant Ecology (Chinese Version), 31, 345-347.(in Chinese with English abstract) |
| [8] | [方精云, 王娓 (2007). 作为地下过程的土壤呼吸: 我们理解了多少? 植物生态学报, 31, 345-347.] |
| [9] | Feng ZW, Wang XK, Wu G (1999). The Forest Ecosystem Biomass and Productivity in China. Science Press, Beijing. 99-187.(in Chinese) |
| [9] | [冯宗炜, 王效科, 吴刚 (1999). 中国森林生态系统的生物量和生产力. 科学出版社, 北京. 99-187.] |
| [10] | Fu T, Pang Y, Huang QF, Liu QW, Xu GC (2011). Prediction of subtropical forest parameters using airborne laser scanner.Journal of Remote Sensing, 15, 1092-1104.(in Chinese with English abstract) |
| [10] | [付甜, 庞勇, 黄庆丰, 刘清旺, 徐光彩 (2011). 亚热带森林参数的机载激光雷达估测. 遥感学报, 15, 1092-1104.] |
| [11] | Guo ZF, Chi H, Sun GQ (2010). Estimating forest aboveground biomass using HJ-1 satellite CCD and ICESat GLAS waveform data.Science China Earth Sciences, 53, 16-25. |
| [12] | Jiang GZ, Han B, Gao YB, Yang CJ (2013). Review of 40-year earth observation with landsat series and prospects of LDCM.Journal of Remote Sensing, 17, 1033-1048.(in Chinese with English abstract) |
| [12] | [姜高珍, 韩冰, 高应波, 杨崇俊 (2013). Landsat系列卫星对地观测40年回顾及LDCM前瞻. 遥感学报, 17, 1033-1048.] |
| [13] | Kraus K, Pfeifer N (1998). Determination of terrain models in wooded areas with airborne laser scanner data.ISPRS Journal of Photogrammetry and Remote Sensing, 53, 193-203. |
| [14] | Lefsky MA, Cohen WB, Parker GG, Harding DJ (2002). Lidar remote sensing for ecosystem studies.Bioscience, 52, 19-30. |
| [15] | Li MS, Tan Y, Pan J, Peng SK (2006). Modeling forest aboveground biomass by combining the spectrum, textures with topographic features.Remote Sensing Information, (6), 6-9.(in Chinese with English abstract) |
| [15] | [李明诗, 谭莹, 潘洁, 彭世揆 (2006). 结合光谱、纹理及地形特征的森林生物量建模研究. 遥感信息, (6), 6-9.] |
| [16] | Liu LJ (2011). Forest Parameters Inversion Using Airborne LiDAR and Hyperspectral Data Fusion. PhD dissertation, Northeast Forestry University, Harbin.(in Chinese) |
| [16] | [刘丽娟 (2011). 基于机载LIDAR和高光谱融合的森林参数反演研究. 博士学位论文, 东北林业大学, 哈尔滨.] |
| [17] | Lu DS, Mausel P, Brondzio E, Moran E (2003). Estimation of forest stand parameters using Landsat TM images in the brazilian amazon basin. International Symposium on Remote Sensing of Environment: Information for Risk Management and Sustainable Development, 423-426. |
| [18] | Ma LQ, Li AN (2011). Review of application of LiDAR to estimation of forest vertical structure parameters.World Forestry Research, 24(1), 41-45.(in Chinese with English abstract) |
| [18] | [马利群, 李爱农 (2011). 激光雷达在森林垂直结构参数估算中的应用. 世界林业研究, 24(1), 41-45.] |
| [19] | Næsset E, Gobakken T (2008). Estimation of above- and below-ground biomass across regions of the boreal forest zone using airborne laser.Remote Sensing of Environment, 112, 3079-3090. |
| [20] | Pang Y, Li ZY (2012). Inversion of biomass components of the temperate forest using airborne lidar technology in Xiaoxing’an mountains, northeastern of China.Chinese Journal of Plant Ecology, 36, 1095-1105.(in Chinese with English abstract) |
| [20] | [庞勇, 李增元 (2012). 基于机载激光雷达的小兴安岭温带森林组分生物量反演. 植物生态学报, 36, 1095-1105.] |
| [21] | Popescu SC, Wynne RH, Scrivani JA (2004). Fusion of small footprint LiDAR and multispectral data to estimate plot-level volume and biomass in deciduous and pine forests in Virginia, USA.Forest Sciences, 50, 551-565. |
| [22] | Post WM, Emanuel WR, Zinke PJ, Stangenberger AG (1982). Soil carbon pools and world life zones.Nature, 298, 156-159. |
| [23] | Xu HQ, Tang F (2013). Analysis of new characteristics of the first Landsat 8 image and their eco-environmental significance.Acta Ecologica Sinica, 33, 3249-3257.(in Chinese with English abstract) |
| [23] | [徐涵秋, 唐菲(2013). 新一代Landsat系列卫星: Landsat 8遥感影像新增特征及其生态环境意义. 生态学报, 33, 3249-3257.] |
| [24] | Zhang Z, Tian X, Chen EX, He QS (2011). Review of methods on estimating forest above ground biomass.Journal of Beijing Forestry University, 33(5), 144-150.(in Chinese with English abstract) |
| [24] | [张志, 田昕, 陈尔学, 何祺胜 (2011). 森林地上生物量估测方法研究综述. 北京林业大学学报, 33(5), 144-150.] |
| [25] | Zhu GL, Wei WS, Zhang SM, Wu DX (2008). An overview of methods of measuring underground-biomass and introduction of new technique.Chinese Journal of Grassland, 30(3), 94-99.(in Chinese with English abstract) |
| [25] | [朱桂林, 韦文珊, 张淑敏, 吴冬秀 (2008). 植物地下生物量测定方法概述及新技术介绍. 中国草地学报, 30(3), 94-99.] |
/
| 〈 |
|
〉 |
Copyright © 2026 Chinese Journal of Plant Ecology
Tel: 010-62836134, 62836138, E-mail: apes@ibcas.ac.cn, cjpe@ibcas.ac.cn
