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李增元，陈尔学.2021.中国林业遥感发展历程.遥感学报，25（1）： 292-301
Li Z Y and Chen E X. 2021. Development course of forestry remote sensing in China. National Remote Sensing Bulletin， 25（1）：292-301
根据林业遥感科研项目成果和行业应用表现出的阶段性特点，将中国林业遥感发展历程划分为3个阶段： 1951年—1980年为以航空遥感像片为主的目视解译应用阶段，建立了航空摄影和地面综合调查相结合的森林调查技术体系；1981年—2000年为卫星遥感开拓创新阶段，首次研发了针对森林资源调查的卫星遥感数字图像处理系统，在可再生资源遥感调查、遥感系列制图、生态效益评价等关键技术领域均取得了重大突破，并将应用领域扩展到湿地资源、荒漠化和沙化土地、林业灾害等遥感调查、监测领域；2001年—2020年为定量遥感发展与综合应用服务平台形成阶段，通过深入开展林业遥感应用基础理论和定量遥感技术与方法研究，促进了定量遥感技术的快速发展和林业综合监测技术体系的形成，并构建了林业遥感综合应用服务平台；最后就林草部门在新时期所面对的新要求、新任务，给出了未来林草遥感科研和应用发展建议。
According to the progressing characteristics of research project achievements and industry applications of forestry remote sensing
the development course of China's forestry remote sensing in the past 70 years (1951—2020) is divided into three periods and reviewed. 1951—1980 was the phase of remote sensing application by visual interpretation based on aerial photo. During this phase
China has established forest inventory technology system combining aerial photography and comprehensive ground survey. 1981—2000 was the pioneering and innovative developing phase of satellite remote sensing. For the first time
the satellite remote sensing digital image processing system for forest resource inventory was developed
and some major breakthroughs were made in key technical fields such as renewable resource inventory
series thematic map production
and ecological benefit evaluation using remote sensing. Meanwhile
the application fields have been expanded to the remote sensing inventory and monitoring fields of wetland resources
desertification and desertification land
forestry disasters
etc. 2001—2020 is the phase of rapid development of quantitative remote sensing and initiative construction of comprehensive application service platform. Through in-depth research on the basic theory of forestry remote sensing application and quantitative remote sensing technology
China has promoted the rapid development of quantitative remote sensing technology and designed a comprehensive forestry monitoring technology system
and established a comprehensive forestry remote sensing application service platform. In the end
we put forwards some suggestions for the future development of scientific research and application of forestry remote sensing
in order to meet the new requirements and tasks faced by the forestry and grassland sectors in a new era.
中国林业遥感发展历程林业综合监测高分遥感
Chinaforestry remote sensingdevelopment coursethree periodshigh resolution remote sensing
Bai L N and Li Z Y. 1995. Preliminary research of expert system for forest type classification of ERS - 1 SAR image. Remote Sensing Technology and Application, 10(2): 69-72
白黎娜, 李增元. 1995. ERS—1 SAR图像森林类型分类专家系统研制探讨. 遥感技术与应用, 10(2):69-72 [DOI: 10.11873/j.issn.1004-0323.1995.2.69http://dx.doi.org/10.11873/j.issn.1004-0323.1995.2.69]
Chen E X and Li Z Y. 2004. Study on ENVISAT ASAR image geolocation method. Journal of Image and Graphics, 9(8): 991-996
陈尔学, 李增元. 2004. ENVISAT ASAR影像地理定位方法. 中国图象图形学报, 9(8): 991-996 [DOI: 10.3969/j.issn.1006-8961.2004.08.017http://dx.doi.org/10.3969/j.issn.1006-8961.2004.08.017]
Chen E X and Li Z Y. 2006. The algorithm for direct geo location of space borne SAR imagery based on slant angle coordinate transformation. Chinese High Technology Letters, 16(10): 1082-1086
陈尔学, 李增元. 2006. 基于斜角坐标系变换的星载SAR直接定位算法. 高技术通讯, 16(10): 1082-1086 [DOI: 10.3321/j.issn:1002-0470.2006.10.020http://dx.doi.org/10.3321/j.issn:1002-0470.2006.10.020]
Chen E X, Li Z Y, Pang Y and Tian X. 2007b. Polarimetric synthetic aperture radar interferometry based mean tree height extraction technique. Scientia Silvae Sinicae, 43(4): 66-70
陈尔学, 李增元, 庞勇, 田昕. 2007b. 基于极化合成孔径雷达干涉测量的平均树高提取技术. 林业科学, 43(4): 66-70 [DOI: 10.3321/j.issn:1001-7488.2007.04.011http://dx.doi.org/10.3321/j.issn:1001-7488.2007.04.011]
Chen E X, Li Z Y, Tan B X, Liang Y Z and Zhang Z L. 2007a. Validation of statistic based forest types classification methods using hyperspectral data. Scientia Silvae Sinicae, 43(1): 84-89
陈尔学, 李增元, 谭炳香, 梁毓照, 张则路. 2007a. 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 [DOI: 10.3321/j.issn:1001-7488.2007.01.014http://dx.doi.org/10.3321/j.issn:1001-7488.2007.01.014]
Cheng H Z, Liu X T, Pang Z H, Yu R A and Zhao Q K. 1992. Disaster division of dendrolimus superans butler with aid of space remote sensing technology. Journal of Northeast Forestry University, 20(5): 25-32
程焕章, 刘新田, 逄增和, 于瑞安, 赵启凯. 1992. 航天遥感技术在落叶松毛虫危害区划中的应用研究. 东北林业大学学报, 20(5): 25-32
Dai C D. 1992. Detecting vegetation damage by remote sensing. Journal of Natural Disasters, 1(2): 40-46
戴昌达. 1992. 植物病虫害的遥感探测. 自然灾害学报, 1(2): 40-46
Ding S C. 1995. Reviews and prospects on Sichuan forest aerial apping and forestry remote sensing (to be continued). Sichuan Forestry Exploration and Design, (4): 11-15
丁世昌. 1995. 四川森林航测和林业遥感回顾与展望(上). 四川林勘设计, (4): 11-15
Fan F Y, Chen E X, Liu Q W, Pang Y, Li S M and Zhao F. 2010. Forest mean height extraction based on the low-density airborne LiDAR and CCD data. Forest Research, 23(2): 151-156
范凤云, 陈尔学, 刘清旺, 庞勇, 李世明, 赵峰. 2010. 基于低密度机载LiDAR和CCD数据的林分平均高提取. 林业科学研究, 23(2): 151-156 [DOI: 10.13275/j.cnki.lykxyj.2010.02.016http://dx.doi.org/10.13275/j.cnki.lykxyj.2010.02.016]
Feng Y M, Li Z Y and Deng G. 2007. Quantitative estimation for forest stand crown of different stand densities by remote sensing. Scientia Silvae Sinicae, 43(1): 90-94
冯益明, 李增元, 邓广. 2007. 不同密度林分冠幅的遥感定量估计. 林业科学, 43(1): 90-94 [DOI: 10.3321/j.issn:1001-7488.2007.01.015http://dx.doi.org/10.3321/j.issn:1001-7488.2007.01.015]
Feng Y M, Li Z Y and Zhang X. 2006. Estimating forest stand crown based on high spatial resolution image. Scientia Silvae Sinicae, 42(5): 110-113
冯益明, 李增元, 张旭. 2006. 基于高空间分辩率影像的林分冠幅估计. 林业科学, 42(5): 110-113 [DOI: 10.11707/j.1001-7488.20060520http://dx.doi.org/10.11707/j.1001-7488.20060520]
He Q S, Chen E X, Cao C X, Liu Q W and Pang Y. 2009. A study of forest parameters mapping technique using airborne LIDAR data. Advances in Earth Science, 24(7): 748-755
何祺胜, 陈尔学, 曹春香, 刘清旺, 庞勇. 2009. 基于LIDAR数据的森林参数反演方法研究. 地球科学进展, 24(7): 748-755 [DOI: 10.3321/j.issn:1001-8166.2009.07.008http://dx.doi.org/10.3321/j.issn:1001-8166.2009.07.008]
Ji P, Yi H R and Bai L N. 1993. Artificial Neural Network to Identify Abnormally High Temperature Points in NOAA Data. The Progress of Monitoring and Evaluation of Natural Disasters by Remote Sensing. Beijing: Science and Technology Press: 48-52
纪平, 易浩若, 白黎娜. 1993. 人工神经网络识别NOAA数据异常高温点的研究—重大自然灾害遥感监测与评估研究进展. 北京: 科学技术出版社: 48-52
Li F, Ma Y, Zhang X, Yu X W, Feng P F and Zhang M B. 2014b. Research and design of a forest management mobile service cloud platform for the natural forest protection project//Proceedings of 2014 International Conference on Future Communication Technology and Engineering. Shenzhen: Science and Engineering Research Center
Li F, Ma Y, Zhang X, Zhang M B, Yu X W and Feng P F. 2014a. Intelligent management platform of forestry based on LBS cloud services//Proceedings of 2014 International Conference on Environmental Engineering and Computer Application. Hong Kong, China: Science and Engineering Research Center
Li L Y. 1991. Application and development of remote sensing technology in forestry. Remote Sensing of Environment China, 6(3): 191-194
李留瑜. 1991. 林业遥感应用现状与遥感技术发展浅议. 环境遥感, 6(3): 191-194
Li X W, Guo H D, Li Z and Wang C L. 2005. Method study of vegetation height estimation using SIR-C dual frequency polarimetric SAR interferometry data. Chinese High Technology Letters, 15(7): 79-84
李新武, 郭华东, 李震, 王长林. 2005. 用SIR-C航天飞机双频极化干涉雷达估计植被高度的方法研究. 高技术通讯, 15(7): 79-84 [DOI: 10.3321/j.issn:1002-0470.2005.07.016http://dx.doi.org/10.3321/j.issn:1002-0470.2005.07.016]
Li Z X. 1990. Retrospect and prospect of forestry remote sensing. Yunnan Forest Investigation. Forest Inventory and Planning, (2): 35-36 (李芝喜. 1990. 林业遥感的回顾与展望. 云南林业调查规划, (2): 35-36)
Li Z Y, Che X J, Liu M, Bai L N and Tan B X. 1994. Preliminary research on the application of ERS–1 SAR in forest. Forest Research, 7(6): 692-696
李增元, 车学俭, 刘闽, 白黎娜, 谭炳香. 1994. ERS-1SAR影像森林应用研究初探. 林业科学研究, 7(6): 692-696
Li Z Y and Chen E X. 2019. Technology and Method of Forest Parameters Inversion by Synthetic Aperture Radar. Beijing: Science Press: 61-65
李增元, 陈尔学. 2019. 合成孔径雷达森林参数反演技术与方法. 北京: 科学出版社: 61-65
Li Z Y, Chen E X, Gao Z H, Qin X L, Wu H G and Xia C Z. 2013. Current development status and proposals for national forest remote sensing techniques and applications. Bulletin of Chinese Academy of Sciences, 28: 132-144
李增元, 陈尔学, 高志海, 覃先林, 武红敢, 夏朝宗. 2013. 中国林业遥感技术与应用发展现状及建议. 中国科学院院刊, 28: 132-144 [DOI: 10.3969/j.issn.1000-3045.2013.Z01.016http://dx.doi.org/10.3969/j.issn.1000-3045.2013.Z01.016]
Li Z Y, Gao Z H, Li F, Wu H G, Zhang X, Chen E X, Zhang H Q, Qin X L and Xia C Z. 2015. Construction and application of high-resolution forestry remote sensing application demonstration system. Satellite Application, (3): 25-30
李增元, 高志海, 李凡, 武红敢, 张旭, 陈尔学, 张怀清, 覃先林, 夏朝中. 2015. 高分林业遥感应用示范系统的建设与应用. 卫星应用, (3): 25-30
Li Z Y, Liu Q H, Yan G J, Wang J D, Niu Z, Jiang L M and Chen E X. 2019b. Quantitative Remote Sensing Model and Inversion of Complex Surface. Beijing: Science Press
李增元, 柳钦火, 阎广建, 王锦地, 牛铮, 蒋玲梅, 陈尔学. 2019b. 复杂地表定量遥感模型与反演. 北京: 科学出版社
Li Z Y, Pang Y and Chen E X. 2003. Regional forest mapping using ERS SAR interferometric technology. Geography and Geo-information Science, 19(4): 66-70
李增元, 庞勇, 陈尔学. 2003. ERS SAR干涉测量技术用于区域尺度森林制图研究. 地理与地理信息科学, 19(4): 66-70 [DOI: 10.3969/j.issn.1672-0504.2003.04.017http://dx.doi.org/10.3969/j.issn.1672-0504.2003.04.017]
Li Z Y, Qin X L, Gao Z H, Deng G and Chen E X. 2018. Research on forestry application of high resolution remote sensing. Satellite Application, (11): 61-65
李增元, 覃先林, 高志海, 邓广, 陈尔学. 2018. 高分遥感林业应用研究. 卫星应用, (11): 61-65 [DOI: 10.3969/j.issn.1674-9030.2018.11.015]
Lin H, Ning X B and Lü Y. 2004. Compiling the standing volume table of Chinese fir based on the high-resolution satellite image. Scientia Silvae Sinicae, 40(4): 33-39
林辉, 宁晓波, 吕勇. 2004. 基于高分辨率卫星图像的立木材积表的编制. 林业科学, 40(4): 33-39 [DOI: 10.11707/j.1001-7488.20040406http://dx.doi.org/10.11707/j.1001-7488.20040406]
Lin H, Tong X D and Huang Z Y. 2002. A review on remote sensing's application, puzzle and prospect in forestry. Remote Sensing Information, (1): 39-43, 51
林辉, 童显德, 黄忠义. 2002. 遥感技术在我国林业中的应用与展望. 遥感信息, (1): 39-43, 51 [DOI: 10.3969/j.issn.1000-3177.2002.01.009http://dx.doi.org/10.3969/j.issn.1000-3177.2002.01.009]
Liu L J, Pang Y, Fan W Y, Li Z Y and Li M Z. 2011. Integration of airborne hyperspectral CASI and SASI data for tree species mapping in the boreal forest, China. Remote Sensing Technology and Application, 26(2): 129-136
刘丽娟, 庞勇, 范文义, 李增元, 李明泽. 2011. 整合机载CASI和SASI高光谱数据的北方森林树种填图研究. 遥感技术与应用, 26(2): 129-136 [DOI: 10.11873/j.issn.1004-0323.1994.4.61http://dx.doi.org/10.11873/j.issn.1004-0323.1994.4.61]
Liu Q W, Li Z Y, Chen E X, Pang Y, Li S M and Tian X. 2011. Feature analysis of LIDAR waveforms from forest canopies. Science China Earth Sciences, 54(8): 1206-1214 [DOI: 10.1007/s11430-011-4212-3http://dx.doi.org/10.1007/s11430-011-4212-3]
Liu Q W, Li Z Y, Chen E X, Pang Y, Tian X and Cao C X. 2010. Estimating biomass of individual trees using point cloud data of airborne. Chinese High Technology Letters, 20(7): 765-770
刘清旺, 李增元, 陈尔学, 庞勇, 田昕, 曹春香. 2010. 机载LIDAR点云数据估测单株木生物量. 高技术通讯, 20(7): 765-770 [DOI: 10.3772/j.issn.1002-0470.2010.07.019http://dx.doi.org/10.3772/j.issn.1002-0470.2010.07.019]
Liu X S, Huang J W and Ju H B. 2010. Research progress in the methods and applications of individual tree crown's automatic extraction by high spatial resolution remote sensing. Journal of Zhejiang Forestry College, 27(1): 126-133
刘晓双, 黄建文, 鞠洪波. 2010. 高空间分辨率遥感的单木树冠自动提取方法与应用. 浙江林学院学报, 27(1): 126-133 [DOI: 10.3969/j.issn.2095-0756.2010.01.021http://dx.doi.org/10.3969/j.issn.2095-0756.2010.01.021]
Ma A P. 2019. “Arme” forestry with modern high-resolution remote sensing technology. China Rural Science and Technology, (1): 38-40
马爱平. 2019. 用现代化高分遥感技术“武装”林业. 中国农村科技, (1): 38-40
Ma Y, Li F, Zhang X and Zhang M B. 2015. The design and implementation of a forestry cloud service platform//Proceedings of International Conference on Computer Science and Systems Engineering. Hong Kong, China: [s.
n.]: 371-378
Mo Q, Chen Z B, Xie S Q, Chen M J and Xia C Z. 2017. Developing a system for monitoring high resolution forestry ecological projects. Journal of Zhejiang Agriculture and Forestry University, 34(4): 737-742
莫琴, 陈志泊, 谢士琴, 陈明健, 夏朝宗. 2017. 高分辨率林业生态工程监测系统研建与应用. 浙江农林大学学报, 34(4): 737-742 [DOI: 10.11833/j.issn.2095-0756.2017.04.021http://dx.doi.org/10.11833/j.issn.2095-0756.2017.04.021]
Pang Y, Huang K B, Li Z Y, Qin X L andChen E X. 2011. Forest aboveground biomass analysis using remote sensing in the greater Mekong subregion. Resources Science, 33(10): 1863-1869
庞勇, 黄克标, 李增元, 覃先林, 陈尔学. 2011. 基于遥感的湄公河次区域森林地上生物量分析. 资源科学, 33(10): 1863-1869
Pang Y, Sun G Q and Li Z Y. 2006a. Large footprint lidar waveform modelling of forest spatial patterns. Journal of Remote Sensing, 10(1): 97-103
庞勇, 孙国清, 李增元. 2006a. 林木空间格局对大光斑激光雷达波形的影响模拟. 遥感学报, 10(1): 97-103 [DOI: 10.11834/jrs.20060115http://dx.doi.org/10.11834/jrs.20060115]
Pang Y, Yu X F, Li Z Y, Sun G Q, Chen E X and Tan B X. 2006b. Waveform length extraction from ICEsat GLAS data and forest application analysis. Scientia Silvae Sinicae, 42(7): 137-140
庞勇, 于信芳, 李增元, 孙国清, 陈尔学, 谭炳香. 2006b. 星载激光雷达波形长度提取与林业应用潜力分析. 林业科学, 42(7): 137-140 [DOI: 10.3321/j.issn:1001-7488.2006.07.024http://dx.doi.org/10.3321/j.issn:1001-7488.2006.07.024]
Pang Y, Zhao F, Li Z Y, Zhou S F, Deng G, Liu Q W and Chen E X. 2008. Forest height inversion using airborne lidar technology. Journal of remote sensing, 12(1): 152-158
庞勇, 赵峰, 李增元, 周淑芳, 邓广, 刘清旺, 陈尔学. 2008. 机载激光雷达平均树高提取研究. 遥感学报, 2008, 12(1): 152-158 [DOI: 10.11834/jrs.200801200http://dx.doi.org/10.11834/jrs.200801200]
Qin X L, Li Z Y and Yi H R. 2005. Extraction method of tree crown using high-resolution satellite image. Remote Sensing Technology and Application, 20(2): 228-232
覃先林, 李增元, 易浩若. 2005. 高空间分辨率卫星遥感影像树冠信息提取方法研究. 遥感技术与应用, 20(2): 228-232 [DOI: 10.3969/j.issn.1004-0323.2005.02.003http://dx.doi.org/10.3969/j.issn.1004-0323.2005.02.003]
Sun S H. 2000. China's forestry remote sensing in the new century. Satellite Application, 8(2): 43-45, 50
孙司衡. 2000. 迈进新世纪的我国林业遥感. 卫星应用, 8(2): 43-45, 50
Sun X and Tan B X. 2012. A study of estimating method for forest LAI using hyperspectral remote sensing. Journal of Chinese Urban Forestry, 10(4): 1-4
孙晓, 谭炳香. 2012. 高光谱遥感森林叶面积指数估测方法研究. 中国城市林业, 10(4): 1-4 [DOI: 10.3969/j.issn.1672-4925.2012.04.002http://dx.doi.org/10.3969/j.issn.1672-4925.2012.04.002]
Tan B X, Li Z Y, Chen E X and Pang Y. 2005. Preprocessing of EO-1 hyperion hyperspectral data. Remote Sensing Information, (6): 36-41
谭炳香, 李增元, 陈尔学, 庞勇. 2005. EO-1 Hyperion高光谱数据的预处理. 遥感信息, (6): 36-41 [DOI: 10.3969/j.issn.1000-3177.2005.06.010]
Tan B X, Li Z Y, Chen E X, Pang Y and Lei Y C. 2006. Estimating forest crown closure using Hyperion hyperspectral data. Journal of Beijing Forestry University, 28(3): 95-101
谭炳香, 李增元, 陈尔学, 庞勇, 雷渊才. 2006. Hyperion高光谱数据森林郁闭度定量估测研究. 北京林业大学学报, 28(3): 95-101 [DOI: 10.3321/j.issn:1000-1522.2006.03.017http://dx.doi.org/10.3321/j.issn:1000-1522.2006.03.017]
Tong Q X, Tang C and Li H G. 1999. A creative action: the second experiment of Teng Chong aerial remote sensing. Geo-Information Science, 1(1): 67-75
童庆禧, 唐川, 励惠国. 1999. 腾冲航空遥感试验推陈出新. 地球信息科学, 1(1): 67-75 [DOI: 10.3969/j.issn.1560-8999.1999.01.017http://dx.doi.org/10.3969/j.issn.1560-8999.1999.01.017]
Tong Q X, Zheng L F, Wang J N, Wang X J, Dong W D, Hu Y M and Dang S X. 1997. Study on imaging spectrometer remote sensing information for wetland vegetation. Journal of Remote Sensing, 1(1): 50-57
童庆禧, 郑兰芬, 王晋年, 王向军, 董卫东, 胡远满, 党顺行. 1997. 湿地植被成象光谱遥感研究. 遥感学报, 1(1): 50-57 [DOI: 10.11834/jrs.19970108http://dx.doi.org/10.11834/jrs.19970108]
Wu C Z, Feng Y M, Shu Q T, Li Z Y, Wu H G and Che T T. 2011. Designing and realizing the forestry sub-compartment remote sensing division system based on high-spatial resolution images. Journal of Zhejiang Forestry College, 28(1): 40-45
吴春争, 冯益明, 舒清态, 李增元, 武红敢, 车腾腾. 2011. 基于高空间分辨率影像的林业小班遥感区划系统设计与实现. 浙江农林大学学报, 28(1): 40-45 [DOI: 10.3969/j.issn.2095-0756.2011.01.007http://dx.doi.org/10.3969/j.issn.2095-0756.2011.01.007]
Wu H G. 1995. Application of satellite remote sensing technology in the assessment of forest damage. World Forestry Research, 8(2): 24-29
武红敢. 1995. 卫星遥感技术在森林病虫害监测中的应用. 世界林业研究, 8(2): 24-29
Wu J Y and Ni J. 1995. Spectral characteristics of the pine leaves damaged by pine moth and a model for detecting the damage early. Journal of Remote Sensing, 10(4): 250-258
吴继友, 倪健. 1995. 松毛虫危害的光谱特征与虫害早期探测模式. 遥感学报, 10(4): 250-258 [DOI: 10.11834/jrs.1995034http://dx.doi.org/10.11834/jrs.1995034]
Xiong Y Q and Wu J P. 2007. Tree-crown area detection algorithm for high spatial resolution remote-sensing image. Geography and GEO-Information Science, 23(6): 30-33
熊轶群, 吴健平. 2007. 基于高分辨率遥感图像的树冠面积提取方法. 地理与地理信息科学, 23(6): 30-33 [DOI: 10.3969/j.issn.1672-0504.2007.06.007http://dx.doi.org/10.3969/j.issn.1672-0504.2007.06.007]
Xu G H. 1994. Application and prospect on remote sensing and resources and environment information system. Remote Sensing of Environment China, 19(4): 241-246
徐冠华. 1994. 遥感与资源环境信息系统应用与展望. 环境遥感, 19(4): 241-246 [DOI: 10.11834/jrs.1994033http://dx.doi.org/10.11834/jrs.1994033]
Yang C J, Chen D Q and Wei Y M. 1999. Application of remote sensing and GIS in monitoring and management of forest disease and insect damage. Journal of Catastrophology, 14(1): 6-10
杨存建, 陈德清, 魏一鸣. 1999. 遥感和GIS在森林病虫害监测管理中的应用模式. 灾害学, 14(1): 6-10
Yang X G, Fan W Y and Yu Y. 2010. Leaf chlorophyll content retrieval from hyperspectral remote sensing images. Journal of Northeast Forestry University, 38(6): 123-124, 135
杨曦光, 范文义, 于颖. 2010. 基于Hyperion数据的森林叶绿素含量反演. 东北林业大学学报, 38(6): 123-124, 135 [DOI: 10.3969/j.issn.1000-5382.2010.06.041http://dx.doi.org/10.3969/j.issn.1000-5382.2010.06.041]
Yi H R, Bai L N and Ji P. 1994. Research method for remote sensing image processing using expert system. Forest Research, 7(1): 13-19
易浩若, 白黎娜, 纪平. 1994. 专家系统用于遥感图像处理的方法研究. 林业科学研究, 7(1): 13-19
Yi H R and Ji P. 1998. The methods of evaluating burned area of forest fire by using remote sensing. Remote Sensing Technology and Application, 13(2): 10-14
易浩若, 纪平. 1998. 森林过火面积的遥感测算方法. 遥感技术与应用, 13(2): 10-14 [DOI: 10.11873/j.issn.1004-0323.1998.2.10http://dx.doi.org/10.11873/j.issn.1004-0323.1998.2.10]
Zeng Q W and Wu H G. 2009. Development of hyperspectral remote sensing application in forest species identification. Forest Resources Management, (5): 109-114
曾庆伟, 武红敢. 2009. 基于高光谱遥感技术的森林树种识别研究进展. 林业资源管理, (5): 109-114 [DOI: 10.3969/j.issn.1002-6622.2009.05.023]
Zhang B. 1996. Application of remote sensing technology on research of the wetland in China. Remote Sensing Technology and Application, 11(1): 67-71
张柏. 1996. 遥感技术在中国湿地研究中的应用. 遥感技术与应用, 11(1): 67-71 [DOI: 10.11873/j.issn.1004-0323.1996.1.67http://dx.doi.org/10.11873/j.issn.1004-0323.1996.1.67]
Zhang G L, Feng Y M, Jia J H, Wu H G and Li Z Y. 2010. Technology study in division of forest resources based on the high-spatial resolution remote sensing images. Remote Sensing Technology and Application, 25(1): 132-137
张艮龙, 冯益明, 贾建华, 武红敢, 李增元. 2001. 基于高空间分辨率影像的小班区划技术研究. 遥感技术与应用, 25(1): 132-137 [DOI: 10.11873/j.issn.1004-0323.2010.1.132http://dx.doi.org/10.11873/j.issn.1004-0323.2010.1.132]
Zhang H. 2002. D-InSAR and PolInSAR: Methods and Applications. Beijing: Graduate School of Chinese Academy of Sciences: 60-114
张红. 2002. D-InSAR与PolInSAR的方法及应用研究. 北京: 中国科学院研究生院(遥感应用研究所): 60-114
Zhang S Q. 2002. Introduction to China wetland science database. Scientia Geographica Sinica, 22(2): 189
张树清. 2002. 中国湿地科学数据库简介. 地理科学, 22(2): 189
Zhang Y X. 2008. Study on Updating Technology of Forest Phase Diagram Based on Spot Data. Beijing: China Forestry Press
张煜星. 2008. 基于SPOT数据的森林林相图更新技术研究. 北京: 中国林业出版社
Zhang Y X and Wang Z X. 2007. Research on Application of Remote Sensing Technology in Forest Resources Inventory. Beijing: China Forestry Press: 16-21
张煜星, 王祝雄. 2007. 遥感技术在森林资源清查中的应用研究. 北京: 中国林业出版社: 16-21
Zhao F, Pang Y, Li Z Y, Zhang H Q, Feng W and Liu Q W. 2009. Extraction of individual tree height using a combination of aerial digital camera imagery and LiDAR. Scientia Silvae Sinicae, 45(10): 81-87
赵峰, 庞勇, 李增元, 张怀清, 丰伟, 刘清旺. 2009. 机载激光雷达和航空数码影像单木树高提取. 林业科学, 45(10): 81-87 [DOI: 10.3321/j.issn:1001-7488.2009.10.014http://dx.doi.org/10.3321/j.issn:1001-7488.2009.10.014]
Zhao X W. 1983. Application of remote sensing in forestry. Forest Science and Technology, (4): 25-27
赵宪文. 1983. 林业遥感应用与研究概况. 林业科技通讯, (4): 25-27 [DOI: 10.13456/j.cnki.lykt.1983.04.007]
Zhao X W. 1995. Monitoring and Assessment of Remote Sensing on Forest Fire. Beijing: China Forestry Press: 1-11
赵宪文. 1995. 森林火灾遥感监测评价. 北京: 中国林业出版社: 1-11
Zhou G Y, Xiong T, Zhang W J and Yang J. 2009. Forest height measurements based on polarimetric SAR interferometry. Journal of Tsinghua University (Science and Technology), 49(4): 510-513
周广益, 熊涛, 张卫杰, 杨健. 2009. 基于极化干涉SAR数据的树高反演方法. 清华大学学报(自然科学版), 49(4): 510-513 [DOI: 10.16511/j.cnki.qhdxxb.2009.04.016http://dx.doi.org/10.16511/j.cnki.qhdxxb.2009.04.016]
Zhu Z D. 1984. The principles and methods for compilling the map of desertification of China. Journal of Desert Research, 4(1): 3-15
朱震达. 1984. 关于沙漠化地图编制的原则与方法. 中国沙漠, 4(1): 3-15
Zhu Z D. 1989. Desertification and Its Control in China. Beijing: Science Press: 18-86
朱震达. 1989. 中国的沙漠化及其治理. 北京: 科学出版社: 18-86
Zhu Z D and Liu S. 1984. The concept of desertification and the differentiation of its development. Journal of Desert Research, 4(3): 2-8
朱震达, 刘恕. 1984. 关于沙漠化的概念及其发展程度的判断. 中国沙漠, 4(3): 2-8
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