Study on Extraction of Forest Parameters by High Spatial Resolution Remote Sensing

Abstract

Abstract: Study and application of forest parameters extractionby high spatial resolution remote sensing was introduced in this article, combined with achievements in this field made by researchers all over the world.Extraction of such different forest parameters was described respectively as single tree crown contour, diameter at breast height, biomass, identification and classification of species, LAI, canopy density, wood structure and property.Finally, the problems of forest parameters extraction by high spatial resolution remote sensing were discussed, and the prospect of forest parameters extraction by high spatial resolution remote sensing was expected.

Key words: high spatial resolution, remote sensing, forest parameters, extraction of tree crown, biomass

CLC Number:

TP79

LIU Xiaoshuang, HUANG Jianwen, JU Hongbo. Study on Extraction of Forest Parameters by High Spatial Resolution Remote Sensing[J]. FOREST RESOURCES WANAGEMENT, 2009, 0(2): 111-117.

References

[1]尹占娥.现代遥感导论[M].北京.科学出版社,2008:11.
[2]李小文,刘素红.遥感原理与应用[M].北京.科学出版社,2008:4.
[3]Li X,Strahler A.H.Geometric-optical modeling of a conifer forest canopy[J].IEEE Transactions on Geoscience and Remote Sensing,1985(23):705-721.
[4]Franklin J,Strahler A H.Invertible canopy reflectance modeling of vegetation structure in semi-arid woodland[J].IEEE Transactions on Geoscience and Remote Sensing,1988(26):809-825.
[5]HWu Y,Strahler A H.Remote estimation of crown size,stand density and foliage biomass on the Oregon transect[J].Ecological Applications,1993(4):299-312.
[6]Cohen W B,Spies T A.Semivariograms of digital imagery foranalysis of conifer canopy structure[J].Remote Sensing of Environment,1990(34):167-178.
[7]Gougeon F A.A crown-following approach to the automatic delineation of individual tree crowns in high spatial resolution aerial images[J].Canadian Journal of Remote Sensing,1995(21):274-282.
[8]Pollock R J.The automatic recognition of individual trees in aerial images of forests based on a synthetic tree crown image model[D].The University of British Colombia,Vancouver,Canada,1996:172.
[9]Brandtberg T,Walter F.Automated delineation of individual tree crowns in high spatial resolution aerial images by multiple-scale analysis[J].Machine Vision and Applications,1998(11):64-73.
[10]Pouliot D A,King D J,Bell F W,et al.Automated tree crown detection and delineation in high-resolution digital camera imagery of coniferous forest regeneration[J].Remote Sensing of Environment,2002(82):322-334.
[11]Culvenor D S.TIDA:An algorithm for the delineation of tree crowns in high spatial resolution remotely sensed imagery[J].Computers & Geosciences,2002(28):33-44.
[12]熊轶群,吴健平.基于高分辨率遥感图像的树冠面积提取方法[J].地理与地理信息科学,2007(6):31-33.
[13]Duchaufour A.The management of the forest at compiègne[J].Forestry Journal,1903(42):65-78.
[14]Bechtold W A.Largest-crown-width prediction models for 53 species in the western United States[J].Western Journal of Applied Forestry,2004(19):245-251.
[15]Read J M,Clark D B,Venticinque E M,Moreira M P.Applicationof merged 1-m and 4-m resolution satellite data to research and management intropical forests[J].Journal of Applied Ecology,2003(40):592-600.
[16]Hemery G E,Savill P S,Pryor S N.Applications of the crowndiameter-stem diameter relationship for different species of broadleaved trees[J].Forest Ecology and Management,2005(215):285-294.
[17]唐守正,张会儒,胥辉.相容性生物量模型的建立及其估计方法研究[J].林业科学,2000(36):19-27.
[18]徐新良,曹明奎.森林生物量遥感估算与应用分析[J].地球信息科学,2006(8):123-128.
[19]徐小军,杜华强,周国模,等.基于遥感植被生物量估算模型自变量相关性分析综述[J].遥感技术与应用,2008(23):239-247.
[20]Clark D B,Clark D A.Landscape-scale variation in forest structure and biomass in a tropical rain forest[J].Forest Ecology and Management,2000(137):185-198.
[21]Alves L F,Santos F A M.Tree allometry and crown shape of four tree species in Atlantic rain forest,southeast,Brazil[J].Journal of Tropical Ecology,2002(18): 245-260.
[22]Brown S,Gillespie A.J.R,Lugo A.E.Biomass of tropical forests of south and southeast Asia[J].Canadian Journal of Forest Research,1991(21):111-117.
[23]Leckie D G,Gougeon F A,Walsworth N,Paradine D.Stand delineation and composition estimation using semi-automated individual tree crownanalysis[J].Remote Sensing of Environment,2003(85):355-369.
[24]Chen J M,Black T A.Defining leaf area index for non-flat leaves[J],Plant Cell and Environment,1992(15):421-429.
[25]Chen J M,Cihlar J.Retrieving Leaf Area Index of Boreal Conifer Forests Using Landsat TM images[J].Remote Sensing of Environment,1996(55):153-162.
[26]金慧然,陶欣,范闻捷,等.应用北京一号卫星数据监测高分辨率叶面积指数的空间分布[J].自然科学进展,2007,9(17):1229-1234.
[27]孙鹏森,刘世荣,刘京涛,等.利用不同分辨率卫星影像的NDVI数据估算叶面积指数(LAI)——以岷江上游为例[J].生态学报,2006,11(26):3826-3834.
[28]吴炳方,曾源,黄进良.遥感提取植物生理参数LAI/ FPAR的研究进展与应用[J].地球科学进展,2004,4(19):585-590.
[29]Sprintsin M,Karnieli A,Berliner P,et al.The effect of spatial resolution on the accuracy of leaf area index estimation for a forest planted in the desert transition zone[J].Remote Sensing of Environment,2007(109):416-428.
[30]李崇贵,赵宪文.森林郁闭度定量估测遥感比值波段的选择[J].林业科学,2005,4(41):72-77.
[31]Morales R.M,Miura T,Idol T.An assessment of Hawaiian dry forest condition with fine resolution remote sensing[J].Forest Ecology and Management,2008(255):2524-2532.
[32]刘杏娥,江泽慧,费本华,等.利用遥感技术预测人工林木材性质及其产品价值的初探[J].林业科学研究,2005,4(18):425-429.
[33]王小青.基于遥感技术的小黑杨木材产量和质量预测[D].北京:中国林业科学研究院,2007.
[34]Song C.Estimating tree crown size with spatial information ofhigh resolution optical remotely sensed imagery[J].International Journal of Remote Sensing,2006,28(15):3305-3318.