陈尔学,李增元,谭炳香,等.2007.高光谱数据森林类型统计模式识别方法比较评价.林业科学,43(1):84-89. (Chen E X, Li Z Y, Tan B X, et al. 2007.Validation of statistic based forest types classification methods using hyperspectral data.Scientia Silvae Sinicae,43(1):84-89.) 刘勇洪,牛 铮,王长耀.2006. 基于MODIS数据的决策树分类方法研究与应用.遥感学报,9(4):405-412. (Liu Y H, Niu Z, Wang C Y. 2006. Research and application of the decision tree classification using MODIS data. Journal of Remote Sensing, 9(4):405-412.[in Chinese]) 穆少杰,李建龙,陈奕兆,等.2012. 2001-2010年内蒙古植被覆盖度时空变化特征. 地理学报, 67(9), 1255-1268. (Mu S J, Li J L, Chen Y Z, et al. 2012. Spatial differences of variations of vegetation coverage in Inner Mongolia during 2001-2010. Acta Geographica Sinica, 67(9):1255-1268.[in Chinese]) 王新闯,齐 光,于大炮,等.2011.吉林省森林生态系统的碳储量、碳密度及其分布.应用生态学报, 22(8):2013-2020. (Wang X C, Qi G, Yu D P, et al. 2011.Carbon storage,density,and distribution in forest ecosystems in Jilin Province of northeast China. Chinese Journal of Applied Ecology, 22(8):2013-2020.[in Chinese]) 曾庆伟,武红敢.2009.基于高光谱遥感技术的森林树种识别进展.林业资源管理,10(5):109-114. (Zeng Q W, Wu H G.2009.Development of hyperspectral remote sensing application in forest species identification.Forest Resources Management,10(5):109-114.) 曾庆伟.2010.基于Hyperion高光谱数据的森林类型精细识别研究.北京:中国林业科学研究院博士学位论文. (Zeng Q W. 2010. Forest type precise identification based on Hyperion data. Beijing:PhD thesis of Chinese Academy of Forestry.[in Chinese]) 张煜星,王祝雄,武红敢,等.2007.遥感技术在森林资源清查中应用研究. 北京:中国林业出版社. (Zhang Y X, Wang Z X, Wu H G, et al. 2007. Application of remote sensing technology in forest resource inventory. Beijing:China Forestry Publishing House.[in Chinese]) 张元明,陈亚宁,张小雷.2004.塔里木河下游植物群落分布格局及其环境解释.地理学报, 59(6):903-910. (Zhang Y M, Chen Y N, Zhang X L. 2004. Plant communities and their interrelations with environmental factors in the lower reaches of Tarim River. Acta Geographica Sinica, 59(6):903-910.[in Chinese]) Brus D J, Hengeveld G M, Walvoort D J J, et al. 2012. Statistical mapping of tree species over Europe. European Journal of Forest Research,131(1):145-157. Buyantuyev A, Wu J, Gries C. 2007.Estimating vegetation cover in an urban environment based on Landsat ETM+ imagery:a case study in Phoenix, USA. International Journal of Remote Sensing, 28(2):269-291. Franco-Lopez H, Ek A R, Bauer M E.2001. Estimation and mapping of forest stand density, volume, and cover type using the k-nearest neighbors method. Remote Sensing of Environment,77(3):251-274. Liu T, Yang X. 2013.Mapping vegetation in an urban area with stratified classification and multiple end member spectral mixture analysis. Remote Sensing of Environment, 133:251-264. McKenzie N J, Ryan P J. 1999.Spatial prediction of soil properties using environmental correlation. Geoderma, 89(1):67-94. McRoberts R E, Nelson M D, Wendt D G.2002. Stratified estimation of forest area using satellite imagery, inventory data, and the k-Nearest Neighbors technique. Remote Sensing of Environment, 82(2):457-468. Nielsen S E,Haney A. 1998. Gradient responses for understory species in a bracken-grassland and northern dry forest ecosystem of northeast Wisconsin. Trans Wisc Acad Sci Arts Lett, 86:149-166. Ohmann J L, Gregory M J. 2002.Predictive mapping of forest composition and structure with direct gradient analysis and nearest-neighbor imputation in coastal Oregon, USA. Canadian Journal of Forest Research, 32(4):725-741. Ruefenacht B, Finco M V, Nelson M D, et al. 2008.Conterminous US and Alaska forest type mapping using forest inventory and analysis data. Photogrammetric Engineering & Remote Sensing,74(11):1379-1388. Small C, Lu J W T.2006. Estimation and vicarious validation of urban vegetation abundance by spectral mixture analysis. Remote Sensing of Environment, 100(4):441-456. Tomppo E. 1991. Satellite image-based national forest inventory of Finland. International Archives of Photogrammetry and Remote Sensing, 28:419-424. Wilson B T, Lister A J, Riemann R I.2012. A nearest-neighbor imputation approach to mapping tree species over large areas using forest inventory plots and moderate resolution raster data. Forest Ecology and Management, 271:182-198. Xian G, Zhu Z, Hoppus M, et al.2002. Application of decision-tree techniques to forest group and basal area mapping using satellite imagery and forest inventory data.Pecora, 15:10-15. Zhu Z, Evans D L.1994. US forest types and predicted percent forest cover from AVHRR data. Photogrammetric Engineering and Remote Sensing, 60(5):525-531. |