曹 林,佘光辉,代劲松,等. 2013. 激光雷达技术估测森林生物量的研究现状及展望. 南京林业大学学报:自然科学版,37(3):163-169. (Cao L, She G H, Dai J S, et al. 2013. Status and prospects of the LiDAR-based forest biomass estimation. Journal of Nanjing Forestry University:Natural Science Edition, 37(3):163-169.[in Chinese]) 陈尔学. 1999. 合成孔径雷达森林生物量估测研究进展. 世界林业研究,12(6):18-23. (Chen E X. 1999. Development of forest biomass estimation using SAR data. World Forestry Research, 12(6):18-23.[in Chinese]) 李春萍,李 刚,肖春旺. 2007. 异速生长关系在陆地生态系统生物量估测中的应用. 世界科技研究与发展, 29(2):51-57. (Li C P, Li G, Xiao C W. 2007. The application of allometric relationships in biomass estimation in terrestrial ecosystems. World Sci-Tech R & D, 29(2):51-57.[in Chinese]) 李文梅,李增元,陈尔学,等. 2014. 层析SAR反演森林垂直结构参数现状及发展趋势. 遥感学报,18(4):741-751. (Li W M, Li Z Y, Chen E X, et al. 2014. Status and development of tomographic SAR for forest vertical structural parameters inversion. Journal of Remote Sensing, 18(4):741-751.[in Chinese]) 刘 华,雷瑞德.2005.我国森林生态系统碳储量和碳平衡的研究方法及进展.西北植物学报,25(4):835-843. (Liu H, Lei R D. 2005. Research methods and advances of carbon storage and balance in forest ecosystems of China.Acta Botanica Boreali-Occidentalia Sinica, 25(4):835-843.) 刘 茜,杨 乐,柳钦火,等. 2015. 森林地上生物量遥感反演方法综述. 遥感学报, 19(1):62-74. (Liu Q, Yang L, Liu Q H, et al. 2015. Review of forest above ground inversion methods based on remote sensing technology. Journal of Remote Sensing, 19(1):62-74.[in Chinese]) 骆社周,王 成,习晓环,等. 2015. 星载激光雷达GLAS与TM光学遥感联合反演森林叶面积指数. 红外与毫米波学报,34(2):243-249. (Luo S Z, Wang C, Xi X H, et al. 2015. Forest leaf area index estimation using combined ICESat/GLAS and optical remote sensing image. Journal of Infrared Millimeter Waves, 34(2):243-249.[in Chinese]) 穆喜云,张秋良,刘清旺,等. 2015. 基于激光雷达的大兴安岭典型森林生物量制图技术研究. 遥感技术与应用, 30(2):220-225. (Mu X Y, Zhang Q L, Liu Q W, et al. 2015. A study on typical forest biomass mapping technology of great Khingan using airborne laser scanner data. Remote Sensing Technology and Application, 30(2):220-225.[in Chinese]) 庞 礴, 代大海, 邢世其, 等. 2013. SAR层析成像技术的发展和展望. 系统工程与电子技术, 35(7):1421-1429. (Pang B, Dai D H, Xing S Q, et al. 2013. Development and perspective of tomographic SAR imaging technique. Systems Engineering and Electronics, 35(7):1421-1429.[in Chinese]) 庞 蕾, 张继贤, 范洪冬. 2010. 多基线干涉SAR测量技术发展与趋势分析. 电子学报, 38(9):2152-2157. (Pang L, Zhang J X, Fan H D. 2010. Progress and tendency of multibaseline synthetic aperture radar interferometry technique. Acta Electronica Sinica, 38(9):2152-2157.[in Chinese]) 庞 勇,李增元,陈尔学,等. 2005. 激光雷达技术及其在林业上的应用. 林业科学,41(3):129-136. (Pang Y, Li Z Y, Chen E X, et al. 2005. Lidar remote sensing technology and its application in forestry. Scientia Silvae Sinicae, 41(3):129-136.[in Chinese]) 汤旭光,刘殿伟,王宗明,等. 2012. 森林地上生物量遥感估算研究进展. 生态学杂志, 31(5):1311-1318. (Tang X G, Liu D W, Wang Z M, et al. 2012. Estimation of forest aboveground biomass based on remote sensing data:a review. Chinese Journal of Ecology, 31(5):1311-1318.[in Chinese]) Brovelli M A, Crespib M, Fratarcangeli F, et al. 2008. Accuracy assessment of high resolution satellite imagery orientation by leave-one-out method. ISPRS Journal of Photogrammetry and Remote Sensing, 63(4):427-440. Chave J, Condit R, Aguilar S, et al. 2004. Error propagation and scaling for tropical forest biomass estimates. Philosophical Transactions of the Royal Society of London, 359(1443):409-420. Chave J, Andalo C, Brown S, et al. 2005. Tree allometry and improved estimation of carbon stocks and balance in tropical forests. Oecologia, 145(1):87-99. Chave J, Coomes D, Jansen S, et al. 2009. Towards a worldwide wood economics spectrum. Ecology Letters, 12(4):351-366. Cloude S R, Papathanassiou K P. 2003. Three-stage inversion process for polarimetric SAR interferometry. IET Radar, Sonar and Navigation, 150(3):125-134. Cloude S R. 2006. Polarization coherence tomography. Radio Science, 41(RS4017):1-27. Gourlet-Fleury S, Guehl J M, Laroussinie O. 2004. Ecology and management of a neotropical rainforest-lessons drawn from Paracou, a long-term experimental research site in French Guiana. Ecology and Management of a Neotropical Rainforest, Paris:Elsevier, 3-60. Houghton R A, Hall F, Goetz S J, et al. 2009. Importance of biomass in the global carbon cycle. Journal of Geophysical Research Biogeosciences, 114(G00E03). Imhoff M L. 1995. Radar backscatter and biomass saturation:ramifications for global biomass inventory. IEEE Transactions on Geoscience and Remote Sensing, 33(2):511-518. Krim H, Viberg M. 1996. Two decades of array signal processing research. IEEE Signal Processing Magazine, 13(4):67-94. Le Toan T, Quegan S, Davidson M W J, et al. 2011. The BIOMASS mission:mapping global forest biomass to better understand the terrestrial carbon cycle. Remote Sensing of Environment, 115(11):2850-2860. Minh D H T, Le Toan T, Rocca F, et al. 2014. Relating P-band synthetic aperture radar tomography to tropical forest biomass. IEEE Transactions on Geoscience and Remote Sensing, 52(2):967-979. Minh D H T, Tebaldini S, Rocca F, et al. 2015. Capabilities of BIOMASS tomography for investigating tropical forests. IEEE Transactions on Geoscience and Remote Sensing, 53(2):965-975. Minh D H T, Le Toan T, Rocca F, et al. 2016. SAR tomography for the retrieval of forest biomass and height:cross-validation at two tropical forest sites in French Guiana. Remote Sensing of Environment, 175:138-147. Reigber A, Moreira A. 2000. First demonstration of airborne SAR tomography using multibaseline L-band data. IEEE Transactions on Geoscience and Remote Sensing, 38(5):2142-2152. Réjou-Méchain M, Tymen B, Blanc L, et al. 2015. Using repeated small-footprint LiDAR maps to infer spatial variation and dynamics of a high-biomass neotropical forest. Remote Sensing of Environment, 169:93-101. Sandberg G, Ulander L M H, Fransson J E S, et al. 2009. Comparison of L-and P-band biomass retrievals based on backscatter from the BioSAR campaign. IEEE International Geoscience and Remote Sensing Symposium, Cape Town, South Africa. Treuhaft R N. 2002. Forest leaf area density profiles from the quantitative fusion of radar and hyperspectral data. Journal of Geophysical Research, 107(D21):ACL 7-1-ACL 7-13. Vincent G, Sabatier D, Blanc L, et al. 2012. Accuracy of small footprint airborne LiDAR in its predictions of tropical moist forest stand structure. Remote Sensing of Environment, 125:23-33. |