Estimates of forest canopy height and aboveground biomass using ICESat

被引:564
|
作者
Lefsky, MA
Harding, DJ
Keller, M
Cohen, WB
Carabajal, CC
Espirito-Santo, FD
Hunter, MO
de Oliveira, R
机构
[1] Colorado State Univ, Dept Forest Sci, Ft Collins, CO 80523 USA
[2] NASA, Goddard Space Flight Ctr, Planetary Geodynam Branch, Greenbelt, MD 20771 USA
[3] Forest Serv, Int Inst Trop Forestry, USDA, San Juan, PR USA
[4] Univ New Hampshire, Complex Syst Res Ctr, Durham, NH 03824 USA
[5] Forest Serv, Forestry Sci Lab, Pacific NW Res Stn, USDA, Corvallis, OR 97331 USA
[6] NASA, Goddard Space Flight Ctr, NVI Inc, Space Geodesy Branch, Greenbelt, MD 20771 USA
[7] Inst Nacl Pesquisas Espaciais, BR-12227010 Sao Jose Dos Campos, Brazil
[8] EMBRAPA Amazonia Oriental, BR-66095100 Belem, Para, Brazil
关键词
D O I
10.1029/2005GL023971
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Exchange of carbon between forests and the atmosphere is a vital component of the global carbon cycle. Satellite laser altimetry has a unique capability for estimating forest canopy height, which has a direct and increasingly well understood relationship to aboveground carbon storage. While the Geoscience Laser Altimeter System (GLAS) onboard the Ice, Cloud and land Elevation Satellite (ICESat) has collected an unparalleled dataset of lidar waveforms over terrestrial targets, processing of ICESat data to estimate forest height is complicated by the pulse broadening associated with large-footprint, waveform-sampling lidar. We combined ICESat waveforms and ancillary topography from the Shuttle Radar Topography Mission to estimate maximum forest height in three ecosystems; tropical broadleaf forests in Brazil, temperate broadleaf forests in Tennessee, and temperate needleleaf forests in Oregon. Final models for each site explained between 59% and 68% of variance in field-measured forest canopy height (RMSE between 4.85 and 12.66 m). In addition, ICESat-derived heights for the Brazilian plots were correlated with field-estimates of aboveground biomass (r(2) = 73%, RMSE = 58.3 Mgha(-1)).
引用
收藏
页码:1 / 4
页数:4
相关论文
共 50 条
  • [1] Estimates of forest canopy height and aboveground biomass using ICESat (vol 33, art no L05501, 2006)
    Lefsky, MA
    Harding, DJ
    Keller, M
    Cohen, WB
    Carabajal, CC
    Espirito-Santo, FD
    Hunter, MO
    de Oliveira, R
    de Camargo, PB
    [J]. GEOPHYSICAL RESEARCH LETTERS, 2006, 33 (05)
  • [2] Estimating aboveground biomass and forest canopy cover with simulated ICESat-2 data
    Narine, Lana L.
    Popescu, Sorin
    Neuenschwander, Amy
    Zhou, Tan
    Srinivasan, Shruthi
    Harbeck, Kaitlin
    [J]. REMOTE SENSING OF ENVIRONMENT, 2019, 224 (1-11) : 1 - 11
  • [3] Use of local and global maps of forest canopy height and aboveground biomass to enhance local estimates of biomass in miombo woodlands in Tanzania
    Naesset, Erik
    McRoberts, Ronald E.
    Pekkarinen, Anssi
    Saatchi, Sassan
    Santoro, Maurizio
    Trier, Oivind D.
    Zahabu, Eliakimu
    Gobakken, Terje
    [J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2020, 93
  • [4] Use of local and global maps of forest canopy height and aboveground biomass to enhance local estimates of biomass in miombo woodlands in Tanzania
    Naesset, Erik
    McRoberts, Ronald E.
    Pekkarinen, Anssi
    Saatchi, Sassan
    Santoro, Maurizio
    Trier, Oivind D.
    Zahabu, Eliakimu
    Gobakken, Terje
    [J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2020, 89
  • [5] ESTIMATION OF FOREST HEIGHT AND ABOVEGROUND BIOMASS FROM ICESAT/GLAS DATA IN EUCALYPTUS PLANTATIONS IN BRAZIL
    Baghdadi, Nicolas
    le Maire, Guerric
    Fayad, Ibrahim
    Bailly, Jean-Stephane
    Nouvellon, Yann
    Lemos, Cristiane
    Hakamada, Rodrigo
    [J]. 2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2014, : 725 - 728
  • [6] Assessing the Accuracy of GEDI Data for Canopy Height and Aboveground Biomass Estimates in Mediterranean Forests
    Dorado-Roda, Ivan
    Pascual, Adrian
    Godinho, Sergio
    Silva, Carlos A.
    Botequim, Brigite
    Rodriguez-Gonzalvez, Pablo
    Gonzalez-Ferreiro, Eduardo
    Guerra-Hernandez, Juan
    [J]. REMOTE SENSING, 2021, 13 (12)
  • [7] Estimates of Forest Canopy Height Using a Combination of ICESat-2/ATLAS Data and Stereo-Photogrammetry
    Lin, Xiaojuan
    Xu, Min
    Cao, Chunxiang
    Dang, Yongfeng
    Bashir, Barjeece
    Xie, Bo
    Huang, Zhibin
    [J]. REMOTE SENSING, 2020, 12 (21) : 1 - 21
  • [8] Mapping forest aboveground biomass with a simulated ICESat-2 vegetation canopy product and Landsat data
    Narine, Lana L.
    Popescu, Sorin
    Zhou, Tan
    Srinivasan, Shruthi
    Harbeck, Kaitlin
    [J]. ANNALS OF FOREST RESEARCH, 2019, 62 (01) : 69 - 86
  • [9] Combining GEDI and sentinel data to estimate forest canopy mean height and aboveground biomass
    Guo, Qiyu
    Du, Shouhang
    Jiang, Jinbao
    Guo, Wei
    Zhao, Hengqian
    Yan, Xuzhe
    Zhao, Yinpeng
    Xiao, Wanshan
    [J]. ECOLOGICAL INFORMATICS, 2023, 78
  • [10] Estimation of Forest Canopy Height and Aboveground Biomass from Spaceborne LiDAR and Landsat Imageries in Maryland
    Wang, Mengjia
    Sun, Rui
    Xiao, Zhiqiang
    [J]. REMOTE SENSING, 2018, 10 (02)