1 |
Brown S L, Schroeder P E. Spatial patterns of aboveground production and mortality of woody biomass for Eastern U.S. forests[J].Ecological Applications,1999,9(3):968-980. DOI: [0968:SPOAPA]2.0.CO;2.
doi: 10.1890/1051-0761(1999)009
|
2 |
Wang Rui, Xing Yanqiu, Qiu Sai, et al. Study on estimation of forest canopy height over sloping terrain based on ICESat-GLAS full waveform data[J]. Journal of Anhui Agricultural Sciences, 2014, 42(9): 2790-2793.
|
2 |
王蕊,邢艳秋,邱赛,等. 基于ICESat-GLAS全波形数据的坡地森林冠层高度估测[J]. 安徽农业科学, 2014, 42(9): 2790-2793.
|
3 |
Pang Yong, Li Zengyuan, Chen Bowei, et al. Status and development of spaceborne Lidar applications in forestry [J]. Aerospace Shanghai,2019,36(3):20-28.
|
3 |
庞勇,李增元,陈博伟,等. 星载激光雷达森林探测进展及趋势[J]. 上海航天,2019,36(3):20-28.
|
4 |
Pang Yong, Li Zengyuan, Chen Erxue,et al.Lidar remote sensing technology and its application in forestry[J]. Scientia Silvae Sinicae,2005,41(3):129-136.
|
4 |
庞勇,李增元,陈尔学,等.激光雷达技术及其在林业上的应用[J].林业科学,2005,41(3):129-136.
|
5 |
Xu Chunxiao, Zhou Feng. Development and applications of space-borne Laser remote sensing technology[J]. Spacecraft Recovery & Remote Sensing,2009,30(4):26-31.
|
5 |
许春晓,周峰. 星载激光遥感技术的发展及应用[J]. 航天返回与遥感,2009,30(4):26-31.
|
6 |
Zhao Yiming, Li Yanhua, Shang Yanan, et al. Application and development direction of Lidar[J]. Journal of Telemetry, Tracking and Command,2014,35(5):4-22.
|
6 |
赵一鸣,李艳华,商雅楠,等. 激光雷达的应用及发展趋势[J]. 遥测遥控,2014,35(5):4-22.
|
7 |
Lefsky M A, Cohen W B, Acker S A, et al. Lidar remote sensing of the canopy structure and biophysical properties of douglas-fir western hemlock forests[J]. Remote Sensing of Environment,1999,70(3):339-361. DOI: .
doi: 10.1016/S0034-4257(99)00052-8
|
8 |
Zhang Zhijie, Xie Huan, Tong Xiaohua, et al. Research progress of full waveform processing technology of satellite laser altimetry[J]. Science of Surveying and Mapping,2019,44(12):168-178.
|
8 |
张志杰,谢欢,童小华,等. 星载激光测高全波形数据处理技术研究进展[J]. 测绘科学,2019,44(12):168-178.
|
9 |
Wang Yuanyuan, Li Guicai, Ding Jianhua, et al. A combined GLAS and MODIS estimation of the global distribution of mean forest canopy height[J]. Remote Sensing of Environment,2016,174:24-43. DOI: .
doi: 10.1016/j.rse.2015.12.005
|
10 |
Cai Longtao, Xing Yanqiu, Yue Chunyu,et al.Estimation of AGB based on ICESat-GLAS waveform and LPA data[J]. Infrared and Laser Engineering,2020,49(S2):56-63.
|
10 |
蔡龙涛,邢艳秋,岳春宇,等.基于ICESat-GLAS波形与LPA数据估测森林生物量[J]. 红外与激光工程,2020,49():56-63.
|
11 |
Yue Chunyu, Zheng Yongchao, Xing Yanqiu, et al. Technical and application development study of space-borne LiDAR in forestry remote sensing[J]. Infrared and Laser Engineering,2020, 49(11): 105-114.
|
11 |
岳春宇,郑永超,邢艳秋,等. 星载激光遥感林业应用发展研究[J]. 红外与激光工程, 2020, 49(11):105-114.
|
12 |
Guerra-Hernández Juan, Pascual Adrián. Using GEDI Lidar data and airborne laser scanning to assess height growth dynamics in fast-growing species:A showcase in Spain[J]. Forest Ecosystems, 2021,8(1):182-198.
|
13 |
Sun T, Qi J B, Huang H G. Discovering forest height changes based on spaceborne Lidar data of ICESat-1 in 2005 and ICESat-2 in 2019:A case study in the Beijing-Tianjin-Hebei region of China[J]. Forest Ecosystems,2020,7(4):704-715.
|
14 |
Yang Ting, Wang Cheng, Li Guicai, et al. Mapping of forest canopy height in China based on spaceborne Lidar glas and optical MODIS data[J]. Scientia Sinica(Terrae),2014,44(11): 2487-2498.
|
14 |
杨婷,王成,李贵才,等. 基于星载激光雷达GLAS和光学MODIS数据中国森林冠层高度制图[J]. 中国科学:地球科学,2014,44(11):2487-2498.
|
15 |
Qi W H, Lee S, Hancock S, et al. Improved forest height estimation by fusion of simulated GEDI Lidar data and TanDEM-X InSAR data[J]. Remote Sensing of Environment,2019,221:621-634. DOI: .
doi: 10.1016/j.rse. 2018.11.035
|
16 |
Xie Dongping, Li Guoyuan, Zhao Yanming, et al. U.S. GEDI space-based Laser altimetry system and its application[J]. Space International, 2018(12): 39-44.
|
16 |
谢栋平,李国元,赵严铭,等. 美国GEDI天基激光测高系统及其应用[J]. 国际太空, 2018(12): 39-44.
|
17 |
Rishmawi K, Huang C Q, Zhan X W. Monitoring key forest structure attributes across the conterminous United States by Integrating GEDI LiDAR measurements and VIIRS data[J]. Remote Sensing,2021,13(3):442-442. DOI: .
doi: 10.3390/RS13030442
|
18 |
Potapov P, Li X Y, Hernandez-Serna A,et al. Mapping global forest canopy height through integration of GEDI and Landsat data[J]. Remote Sensing of Environment,2021,253. DOI: .
doi: 10.1016/J.RSE.2020.112165
|
19 |
Dubayah R, Hofton M, et al. GEDI L2A Elevation and height metrics data global footprint level V001. distributed by NASA EOSDIS land processes DAAC, DOI:10.5067/GEDI/GEDI02_A.001, 2019-03-25 2020-07-29.
|
20 |
Dubayah R, Hofton M. GEDI L2B canopy cover and vertical profile metrics data global footprint level V001[DB/OL]. NASA EOSDIS Land Processes DAAC,DOI:10.5067/GEDI/GEDI02_B.001,2019-03-25 2020-07-29.
|
21 |
Victoria M S, Megan E C, Maxwell B J, et al. Integrating National Ecological Observatory Network (NEON) Airborne Remote Sensing and In-Situ Data for Optimal Tree Species Classification[J]. Remote Sensing,2020,12(9): DOI: 10.3390/ rs12091414.
|
22 |
Liao Kaitao, Qi Shuhua, Wang Cheng,et al. Estimation of forest aboveground biomass and canopy height in Jiangxi Provin-ce using GLAS and Landsat TM images[J].Remote Sensing Technology and Application,2018,33(4):713-720.
|
22 |
廖凯涛,齐述华,王成,等. 结合GLAS和TM卫星数据的江西省森林高度和生物量制图[J]. 遥感技术与应用,2018,33(4):713-720.
|
23 |
Liu L Y, Zhang X.Global Land Cover Product with Fine Classification System at 30-m in 2020. Aerospace Information Research Institute, Chinese Academy of Sciences.http:∥data.casearth.cn/sdo/detail/5d904b7a0887164a5c7fbfa0,2020-11-24 2021-4-1.
|
23 |
刘良云,张肖. 2020年全球30 m精细地表覆盖产品.中国科学院空天信息创新研究院. http://data.casearth.cn/sdo/detail/5d904b7a0887164a5c7fbfa0,2020-11-24 2021-4-1.
|
24 |
Adam M, Urbazaev M, Dubois C, et al. accuracy assessment of GEDI terrain elevation and canopy height estimates in european temperate forests: influence of environmental and acquisition parameters[J]. Remote Sensing, 2020, 12(23): 3948-3948. DOI: .
doi: 10.3390/rs12233948
|
25 |
Lv Hongyan, Feng Qian. A review of random forests algorithm[J]. Journal of the Hebei Academy of Sciences,2019,36(3): 37-41.
|
25 |
吕红燕,冯倩. 随机森林算法研究综述[J]. 河北省科学院学报,2019,36(3):37-41.
|
26 |
Fang Kuangnan, Wu Jianbin, Zhu Jianping, et al. A Review of Technologies on Random Forests[J]. Statistics & Information Forum,2011,26(3):32-38.方匡南,吴见彬,朱建平,等. 随机森林方法研究综述[J]. 统计与信息论坛.2011,26(3):32-38.
|
27 |
Wang C, Zhu X X, Nie S, et al. Ground elevation accuracy verification of ICESat-2 data: A case study in Alaska, USA.[J]. Optics Express,2019,27(26):38168-38179. DOI: .
doi: 10. 1364/OE.27.038168
|
28 |
Tang Xuguang. Estimation of forest aboveground biomass by integrating ICESat/GLAS waveform and TM data[D].Chang-chun:Chinese Academy of Sciences(Northeast Institute Geography and Agroecology),2013.
|
28 |
汤旭光. 基于激光雷达与多光谱遥感数据的森林地上生物量反演研究[D]. 长春: 中国科学院研究生院(东北地理与农业生态研究所),2013.
|