Framework of dynamic analysis and modelling forest above-ground biomass by multi-mode remote sensing information

doi:10.13466/j.cnki.lyzygl.2015.02.022

Abstract

Abstract: Forest dominates the global carbon cycle and forest above-ground biomas(ACB) has been the critica index for carbon seuestratio capaciy,the main parameler of cabhon budgel, he maleria basis for oher ecogical functions. However,any individual mehod such as fores-inventory -based mehod remooesensing-baned melhlod, lrobsovaron-baind method and clogicl-mooe mehod, canmon describ the forest AGB and its dynamic information eficienl.l In orler lo geneat uhe hih-prcision time-space-se-ries,physielcuanli sy nery forest AGB and is dynamic produces , this study proposes the new idea and methodology for improving the space-time series modeling forest AGB , that is , the framework of the remote sensing dynamic information model will be established by use of new -prototype and multi-mode remote sensing data and their products , by the knowledge of dynamic information of forest ecological process and the characteristics from various observation data ,and by data assimilation algorithm.

Key words: multi-mode remote sensing, forest above- ground biomass, dynamic analysis and modelling, data assimilation

CLC Number:

SHI Jun, TIANXin, YAN Min. Framework of dynamic analysis and modelling forest above-ground biomass by multi-mode remote sensing information[J]. FOREST RESOURCES WANAGEMENT, 2015, 0(2): 125-132.

References 40

[1]	Melil JM, Premnice 1 C. Faquhar G D,e al. Trrertal bioice response to ewiomomnn chne and febake to dimetl M]//Clime Chmer1995 :The siene of Cimte dune. Cmbidge university pres,196 ,449-481.
[2]	李银鹏,季劲钧.全球陆地生态系统与大气之间碳交换的模拟研究[J].地理学报2001 ,56(4) :379-389.
[3]	Metsarana J M, Lidfer v J. Using dedochroo to obain annual data for modeing stand development: a supplement to permanent sample plous[J]. Foretry .2009 ,82(2):163-173.
[4]	Chiesi M, Maseli F, Moriondo M,et al.Application of BIOME BCC to simulale Mcitermnen farest procses[J] Ecological Modeling .2007 .206(1):179-190.
[5]	K]jun N, Black T A, Gris T J,et al. Response of net ecosystenm producivity of three boreal forst stands to drough[J]. Eosystems,2006 ,9(7):1128-1144.
[6]	王雪军,黄国胜,孙玉军,等.近20年辽宁省森林碳储量及其动态变化[J].生态学报2008 ,28(10) :4757-4764.
[7]	Fang Jinguyu, Chen Anping, Peng Changhui,et al.Changes in For est Biomass Carbon Storage in China Between 1949 and 1998[J]. Science. 2001 ,292(5525) :2320-2322.
[8]	王斌,刘某承,张彪.基于森林资源清查资料的森林植被净生产量及其动态变化研究[J].林业资源管理,2009(1):35-43.
[9]	Hansen M.Volume and biomass estimatio in FIA: national consisteney w. rgional acurey[C]//Pocedin of the third annual forest inventory and alylis symposum.20219-120.
[10]	Fehrmann L, Lehtonen A, Kleim C,et al.Comparison of Linear and Mixed-efiet Regresion Modelsnd a K - neares Neihbor Apprach for Extimation of Sinle - tree Bioas[J]. Can. J. Fr.Res.2008 .38(1):1-9.
[11]	Naver J.Alomeric Equations for Tree Speie and Cathon Slocks for Fores of Northen Mexico[J]. Forel Ecooy and Mamagement ,2009 ,257(2) :427-434.
[12]	Dong J R, Kaufmann R K,Myneni R B,et al.Remote sensing eaimates of boreal and temperate forest woody biomass :Carbon pools,sources ,and sins[J]. Remate Sensing of Environment,2003 ,84(3) :393-410.
[13]	陈尔学,李增元,武红敢,等.基于k- NN和Landsat数据的小面积统计单元森林蓄积估测方法.林业科学研究,2008 ,21(6):745-750.
[14]	Carus 0. Santoro M,Kelndorer J. Mapping forest aboveground biomas in the Northestem United States with ALOS PAISAR dualpolarization L-band[J]. Remote Sensing of Enviroment, 2012,124 :466-478.
[15]	Baler H.,Rowlanl c S,Saich P. Forest! cmopy heignt amnd curbon estimat ion at Monks Wood National Naure Reseve ,UK ,using dualwavelengh SAR iereromernt J]. Remoe Sensin of Envirorment ,2007 ,108(3):224-239.
[16]	陈尔学,李增元,庞勇,等.基于极化合成孔径雷达干涉测量的平均树高提取技:术[J].林业科学,2007 ,43(4) :66-71.
[17]	Treuhaft R N, Asner G P,Law B E.Structure - based forest biomass frum fusion of rader and hyersperer oeatiom[] Georphyial Reserch Leters ,2003.30(9):1472-1475.
[18]	Cartus 0, Santoro M,Schmllils C,et al. Large area forest stem volume mapping in the boreal zone using synery of ERS - 1/2 tandem coherence and MODIS vegetation cont inuous fileds[J]. Remote Sensing of Enwironment,201115(3):931-943.
[19]	庞勇,孙国清,李增元.林木空间格局对大光斑激光雷达波形影响模拟[J].遥感学报2006. 10(1):97-104.
[20]	Amini J,SumantyoJ T s. Employing a Method on SAR and Optical Images for Forest Biomass Estimaion[J]. IEEE Transacions on Ceosdine and Remole Sensin 209.47(12):4020-4026.
[21]	Quaie T, Levis P, Kauwe M DE, et al.Asimilating Canopy Refectance daa ino an Ecosystem Model with an Ensemble Kalman Filter[J]. Remote Sensin of Eavioment, 2008,112(4):1347-1364.
[22]	Lich H. Moleli the primy produdvui of the word[J]. Naureand rsource,1972.8(2)5-10.
[23]	Uchijin z, Seim H. Acolimimai ealation of net primary porductvrity of nat ure vetato((1)Chiugo modlel for evaluating pimary puivi[J]. Joumal of Agriculul Mateomoy 1985,40(4):342-352.
[24]	Running,S w,and Hunt E. R. Generalization of a forest ecosystem process model for other biomes,BIOME-BGC, and an apliation for gobal-cale models[M]//Scaling Pysologca Poces aff to Globe . San Diego: Academnice Pess,1993:141-158.
[25 ]	Parton w J,Scurlock J M ,0jima D s,et al. Observation and modeling of biomass and soil orgnic mater dynamics for the gassland biome wordvide[J]. Global Biogeochemical Cydes, 193,7(4):25 785-809.
[26]	Sich S,Smith B, Prentice I C.Evaluation of ecystem dynamie,plant geography and tresrial carbon eyling in the IPJ dynamic gobal vegetation mode[J]. Global Change Biology .20003 ,9(2):161- 185.
[27]	Veroustraete F,Sabbe H, Eerens H.Estimation of carbon mass fluxes over Europe using the C-Fix mode and Euolux da[J]. Remote Sensing Envronment ,2002 ,83(3):376-399.
[28]	Running s w,Thormton P E, Nemani R, et al. Global trrestrial gross and net primary proucti from the earth obevatin system[M]//Methods in Ecasystem Science. New York: SpringerVerla, 200:44-57.
[29]	Pine s D. Gownd s N. Global primary producion :a remle sensing ppch[J]. Joumal of Biogogaphy, 1995,. 22(4/5):815-835.
[30]	Potter C,Kloster s, Genovese v. Carbon Emisins from Deforesation in the Brarilian Amanon Regon[J]. Bigeocicnces 2009.6:2369-2381.
[31]	Swinbank w C. The measurement of verical transfer for heat and waler wupor by edies in the lower amope J]. Jumal of Mee orolgey ,1951 ,8(3):15-145.
[32]	Falge E,ebuen Bldochi D.at al. Phase and ampliudue ofecoystem cabhon relese and uptake potenias as derived fom FLUXNET measurements[J]. Agriculual and Forest Meorology. 202.11314):75-95.
[33]	Yu Guinui, Wen Xuefa, Sun Xiaomin et al. Overview of China FLUX and evaluatin of its eddy covriance measurement[J]. Ag rulou and Forst Meoon 2001313 -4):125-137.
[34]	Friend A D,Stevens A K, Knox R G,et al.FLUXNET and modelling the global carhon ecyde[J]. Clobal Change Bioloy 2007,13(3):610-633.
[35]	Brswel B H,Sacks w J,linder,.et al. Estima ing diumal to anwal ecosytem paraneters by synhesis of a cabhon fux model wih edy cowarine net cosgemn exchange oeretaon J]. Global Change Biology ,2005 11(2) :335-355.
[36]	Prevev L Baret F, Chary A, ea al. Asimilai of Multi - Sensorand Muti - Temporal Remote Sensing Data to Monior Vegtation and Sol-he Alplll -ReseDA prie[C]//IEEEE Inerataoina Geosciene and Remole Sensing Sympsium.nd Muti - Temporal Remote Sensing Data to Monior Vegtation and Sol-he Alplll -ReseDA prie[C]//IEEEE Inerataoina Geosciene and Remole Sensing Sympsium.1998 ,2399-2401.
[37]	Favard J c, Boiszeon D,Bare F ,er al. ADAM:a rerece dabase lo inestile asisilation of remate sensing obevation ino erp growh mlesclc//Pw. vm-th. Eur. Soe. Agrumomy Comgress. Denmak ,Coperhagn 204:213-214.
[38]	Koistn L, Wamelink w.,Schaepman-Strub G.et al. Assesing and prelicin hodiveniv in a foli cosen:e Asilaion of net pimury poucton dered frm imeg petooe due into a dymamic vegtation model[J]. Remole Sensing of Envirormemt,208,12(5):211-2130.
[39]	Dematy J.Chenalie F, et al.Friend A D.Asimlaion of gobal MODIS lef are index rieras within rerirt hnphehe mol(lJ Ccpyeiee Rere Lutes .2007 34(15) :402-422
[40]	Mo Xngo,Chen JngmingJu Weimin.et al. Opimizain of eco. system mdel parameters through asisilain edy covarince flux data wih an ensemble Kalman flue[J]. Eeologieal Modelin, 2008 ,217(1):157-173.