Retrieving forest biomass through integration of CASI and LiDAR data

被引：0
|
作者：
Lucas, R.M. [1 ]
Lee, A.C. [2 ]
Bunting, P.J. [1 ]
机构：
[1] Institute of Geography and Earth Sciences, The University of Wales, Penglais Campus, Aberystwyth, Ceredigion SY23 3DB, United Kingdom
[2] School of Resources, Environment and Society, Australian National University, Canberra, ACT 0200, Australia
来源：
International Journal of Remote Sensing | 2008年 / 29卷 / 05期
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Forestry
引用
收藏
页码：1553 / 1577
相关论文
共 50 条
  • [1] Retrieving forest biomass through integration of CASI and LiDAR data
    Lucas, R. M.
    Lee, A. C.
    Bunting, P. J.
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2008, 29 (05) : 1553 - 1577
  • [2] INTEGRATION OF SPACEBORNE LIDAR DATA TO IMPROVE THE FOREST BIOMASS MAP IN MADAGASCAR
    El Hajj, Mohammad
    Baghdadi, Nicolas
    Fayad, Ibrahim
    Vieilledent, Ghislain
    Bailly, Jean-Stephane
    Dinh Ho Tong Minh
    2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2017, : 5786 - 5789
  • [3] On the integration of LiDAR and field data for riparian biomass estimation
    Latella, M.
    Raimondo, T.
    Belcore, E.
    Salerno, L.
    Camporeale, C.
    JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2022, 322
  • [4] Forest inventory height update through the integration of lidar data with segmented Landsat imagery
    Wulder, MA
    Seemann, D
    CANADIAN JOURNAL OF REMOTE SENSING, 2003, 29 (05) : 536 - 543
  • [5] On neural network algorithms for retrieving forest biomass from SAR data
    Del Frate, F
    Solimini, D
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2004, 42 (01): : 24 - 34
  • [6] Retrieving forest biomass from SAR data inverted by a neural network algorithm
    Del Frate, F
    Solimini, D
    SECOND INTERNATIONAL WORKSHOP ON RETRIEVAL OF BIO- & GEO-PHYSICAL PARAMETERS FROM SAR DATA FOR LAND APPLICATIONS, 1998, 441 : 333 - 340
  • [7] Retrieving Forest Canopy Elements Clumping Index Using ICESat GLAS Lidar Data
    Cui, Lei
    Jiao, Ziti
    Zhao, Kaiguang
    Sun, Mei
    Dong, Yadong
    Yin, Siyang
    Zhang, Xiaoning
    Guo, Jing
    Xie, Rui
    Zhu, Zidong
    Li, Sijie
    Tong, Yidong
    REMOTE SENSING, 2021, 13 (05) : 1 - 22
  • [8] Spatial distribution of forest aboveground biomass in China: Estimation through combination of spaceborne lidar, optical imagery, and forest inventory data
    Su, Yanjun
    Guo, Qinghua
    Xue, Baolin
    Hu, Tianyu
    Alvarez, Otto
    Tao, Shengli
    Fang, Jingyun
    REMOTE SENSING OF ENVIRONMENT, 2016, 173 : 187 - 199
  • [9] RELATING SAR TOMOGRAPHY TO TROPICAL FOREST BIOMASS VIA LIDAR DATA
    Yang, Xinwei
    d'Alessandro, Mauro Mariotti
    Tebaldini, Stefano
    Liao, Mingsheng
    IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2018, : 9034 - 9037
  • [10] Estimation of forest aboveground biomass and uncertainties by integration of field measurements, airborne LiDAR, and SAR and optical satellite data in Mexico
    Mikhail Urbazaev
    Christian Thiel
    Felix Cremer
    Ralph Dubayah
    Mirco Migliavacca
    Markus Reichstein
    Christiane Schmullius
    Carbon Balance and Management, 13
12345