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植物研究  2015 

协同ICESat/GLAS和MISR数据估算小兴安岭地区森林地上生物量

DOI: 10.7525/j.issn.1673-5102.2015.03.012, PP. 397-405

Keywords: 生物量,ICESat/GLAS,MISR

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Abstract:

?大光斑激光雷达ICESat/GLAS波形数据包含大量的地物垂直结构信息,如森林垂直断面、地形等。这些信息与森林地上生物量具有很强的相关性。本研究在雷达波形数据处理的基础上,提取波形参数,分别用线性逐步回归模型和Erf-BP神经网络模型建立波形参数与森林地上生物量的关系式。使用Erf-BP神经网络模型计算研究区域内GLAS光斑点的生物量,协同多角度光学遥感数据MISR应用随机森林机器学习方法构建从点到面的空间尺度生物量扩展模型,最后用样地数据对模型反演的生物量结果进行检验。研究结果表明Erf-BP神经网络模型预测能力(P=0.965,RMSE=3.81t·ha-1)优于线性逐步回归模型(P=0.86,RMSE=4.54t·ha-1);空间尺度扩展模型预测精度P=0.81,RMSE=2.39t·ha-1,反演的森林地上生物量估计值范围在0~144.4t·ha-1,平均地上生物量估计值为59.28t·ha-1,用样地数据检验模型的反演结果(R2=0.72,RMSE=8.98t·ha-1),估计值与实际值较为接近。研究实现使用少量实测数据获取大尺度、高精度森林地上生物量的目的,为森林资源调查、生态研究及碳循环研究提供基础。

References

[1]  1.Fang J Y,Wang G G,Liu G H.Forest biomass of China:an estimation based on the biomass volume relationship[J].Ecol Appl,1998,8:1084-1091.
[2]  2.Leith H,Whittaker R H.Modeling the Primary Productivity of the World[J].PrimarProductivity of the Biosphere,1975,4:237-263.
[3]  3.Lovell J.Using airborne and ground-based ranging lidar to measure canopy structure in Australian forests[J].Canadian Journal of Remote Sensing,2003,29(5):607-622.
[4]  4.Lee S,Wenge N M,Wenze Y,et al.Physically based vertical vegetation structure retrieval from ICESat data:Validation using LVIS in White Mountain National Forest,New Hampshire,USA[J].Remote Sensing of Environment,2011,115(11):2776-2785.
[5]  5.Choi S H,Ni X L,Shi Y L.Allometric Scaling and Resource Limitations Model of Tree Heights:Part 2.Site Based Testing of the Model[J].Remote Sensing,2013,5:202-223.
[6]  6.Boudreau J.Regional aboveground forest biomass using airborne and spaceborne LiDAR in Québec[J].Remote Sensing of Environment,2008,112(10):3876-3890.
[7]  7.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):045011.
[8]  8.Sun G,Ranson K J,Guo Z.Forest biomass mapping from lidar and radar synergies[J].Remote Sensing of?Environment,2011,115(11):2906-2916.
[9]  9.Helmer E H,Lefsky M A,Roberts D A.Biomass accumulation rates of Amazonian secondary forest and?biomass of old-growth forests from Landsat time series and the Geoscience Laser Altimeter System[J].Journal of Applied Remote Sensing,2009,3(1):033505.
[10]  10.Duncanson L,Niemann K O,Wulder M A.Integration of GLAS and Landsat TM data for aboveground biomass estimation[J].Canadian Journal of Remote Sensing,2010,36(2):129-141.
[11]  11.董立新,吴炳方,唐世浩.激光雷达GLAS与ETM联合反演森林地上生物量研究[J].北京大学学报:自然科学版,2011,47(4):703-710.
[12]  12.Mitchard E T A,Saatchi S S,Lewis S L,et al.Comment on?‘A first map of tropical Africa’s above-ground biomass derived from satellite imagery’[J].Environmental Research Letters,2011,6(4):049001.
[13]  13.Simard M,Twilley R R.A systematic method for 3D mapping of mangrove forests based on Shuttle Radar Topography Mission elevation data,ICEsat/GLAS waveforms andfield data:Application to Ciénaga Grande de Santa Marta,Colombia[J].Remote Sensing of Environment,2008,112:2131-2144.
[14]  14.Mitchard E T A,Saatchi S S,White L J T,et al.Mapping tropical forest biomass with radar and spaceborne LiDAR in Lopé National Park,Gabon:overcoming problems of high biomass and persistent cloud[J].Biogeosciences,2012,9:179-191.
[15]  15.Temilola E F,Simard M.Height and biomass of mangroves in Africa from ICESat/GLAS and SRTM[J].Remote Sensing,2013,34(2):668-681.
[16]  16.Guo Z F,Chi H,Sun G Q.Estimating forest aboveground biomass using HJ-1 Satellite CCD and ICESat GLAS waveform data[J].Science China,2010,53(Suppl.Ⅰ):16-25.
[17]  17.Liang S L.Quantitative remote sensing of land surfaces[M].New York:John Wiley and Sons,2004.
[18]  18.Canisius F,Chen J M.Retrieving forest background reflectance in a boreal region from Multi-angle Imaging Spectro Radiometer(MISR) data[J].Remote Sensing of Environment,2007,107(1):312-321.
[19]  19.Chopping M,Moisen M M,Su L H,et al.Large area mapping of southwestern forest?crown cover,canopy height,and biomass using the NASA Multiangle Imaging?SpectroRadiometer[J].Remote Sensing of Environment,2008,112:2051-2063.
[20]  20.Chopping M,Schaaf C B,Zhao F,et al.Forest structure and aboveground biomass in the southwestern United States from MODIS and MISR[J].Remote Sensing of Environment,2011,115(11),2943-2953.
[21]  21.Brenner A C.Geoscience Laser Altimeter System Algorithm Theoretical Basis Document,version 4[M].Maryland:NASA Goddard Space Flight Center,2003.
[22]  22.Harding D J,Carabajal C C.ICESat waveform measurements of within-footprint topographic relief and vegetation vertical structure[J].Geophysical research letters,2005,32(21):1-4.
[23]  23.庞勇,李增元.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,2007,20(4):464-468.
[24]  24.Duong H.Processing and application of ICESat large footprint full waveform laser range data(PhD dissertation)[D].Netherlands:Delft Univ,2010.
[25]  25.池泓.基于ICESat/GLAS和MODIS数据的中国森林地上生物量估算研究[D].北京:中国科学院遥感应用研究所,2011.
[26]  27.Drake J B.Estimation of tropical forest structural characteristics using large-footprint lidar[J].Remote Sensing of Environment,2001,79(2):305-319.
[27]  28.张俊杰.从星载大光斑激光雷达波形数据中提取森林类型信息:以中国东北冷温带森林为例[D].武汉:武汉大学,2008.
[28]  29.Lefsky M A.Revised method for forest canopy height estimation from Geoscience Laser Altimeter System waveforms[J].Journal of Applied Remote Sensing,2007,1(1):013537-013537-013518.
[29]  30.Kimes D.Predicting lidar measured forest vertical structure from multi-angle spectral data[J].Remote Sensing of Environment,2006,100(4):503-511.
[30]  31.Neuenschwander A L.Landcover classification of small-footprint,full-waveform lidar data[J].Journal of applied remote sensing ,2009,3(1):033544-033544-033513.
[31]  32.Bull M,Matthews J.Multi-angle Imaging Spectro-Radiometer Data Products Specifications[S].California:Jet Propulsion Laboratory,2011.
[32]  33.Canisius F,Chen J M.Retrieving forest background reflectance in a boreal region from Multi-angle Imaging Spectro Radiometer(MISR) data[J].Remote Sensing of Environment,2007,107(1):312-321.
[33]  34.杨金明,范文义.小兴安岭主要树种生物量的理论模型[J].东北林业大学学报,2011,39(3):46-48.
[34]  35.Breiman L.Random forests[J].Machine Learning,2001,45(1):5-32.
[35]  37.王全才.随机森林特征选择[D].大连:大连理工大学,2011.
[36]  38.毛学刚,李明泽.近30年来小兴安岭地区生物量变化及地统计分析[J].地理研究,2011,30(6):1111-1120.
[37]  39.王蒙,李凤日,贾炜玮,等.黑龙江省落叶松人工林碳储量动态研究[J].植物研究,2013,33(5):623-628.
[38]  26.Duncanson L.Estimating forest canopy height and terrain relief from GLAS waveform metrics[J].Remote Sensing of Environment,2010,114(1):138-154.
[39]  36.Liaw A,Wiener M.Classification and Regression by randomForest[J].R News,2002,2(3):18.

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