• Journal of Infrared and Millimeter Waves
  • Vol. 34, Issue 2, 243 (2015)
LUO She-Zhou1、2、*, WANG Cheng1, XI Xiao-Huan1, NIE Sheng1, XIA Shao-Bo1, and WAN Yi-Ping1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.11972/j.issn.1001-9014.2015.02.020 Cite this Article
    LUO She-Zhou, WANG Cheng, XI Xiao-Huan, NIE Sheng, XIA Shao-Bo, WAN Yi-Ping. Forest leaf area index estimation using combined ICESat/GLAS and optical remote sensing image[J]. Journal of Infrared and Millimeter Waves, 2015, 34(2): 243 Copy Citation Text show less
    References

    [2] Lowman M D, Rinker h B. Forest canopies. 2nd edition. Elsevier/Academic Press, SanDiego, CA, 2004.

    [3] Chen J M, Pavlic G, Brown L, et al. Derivation and validation of canada wide coarse resolution leaf area index maps using high resolution satellite imagery and ground measurements[J]. Remote Sensing of Environment, 2001, 80(1): 165-184.

    [4] Chen J M, Cihlar J. Retrieving leaf area index of boreal conifer forests using Landsat TM images[J]. Remote Sensing of Environment, 1996, 55(2): 153-162.

    [5] Jonckheere I, Fleck S, Nackaerts K, et al. Review of methods for in situ leaf area index determination Part Ⅰ. Theories, sensors and hemispherical photography[J]. Agricultural and Forest Meteorology, 2004, 121(1-2): 19-35.

    [7] Wang Q, Adiku S, Tenhunen J, et al. On the relationship of NDVI with leaf area index in a deciduous forest site[J]. Remote Sensing of Environment, 2005, 94(2): 244-255.

    [10] Colombo R, Bellingeri D, Fasolini D, et al. Retrieval of leaf area index in different vegetation types using high resolution satellite data[J]. Remote Sensing of Environment, 2003, 86(1): 120-131.

    [11] Eriksson H, Eklundh L, Kuusk A, et al. Impact of understory vegetation on forest canopy reflectance and remotely sensed LAI estimates[J]. Remote Sensing of Environment, 2006, 103(4): 408-418.

    [12] Hall S A, Burke I C, Box D O, et al. Estimating stand structure using discrete-return LiDAR: an example from low density, fire prone ponderosa pine forests. Forest Ecology and Management[J]. 2005, 208(1-3): 189-209.

    [13] Tang H, Dubayah R, Swatantran A, et al. Retrieval of vertical LAI profiles over tropical rain forests using waveform lidar at La Selva, Costa Rica[J]. Remote Sensing of Environment, 2012, 124: 242-250.

    [17] Sun G, Ranson K J, Kimes D S, et al. Forest vertical structure from GLAS: An evaluation using LVIS and SRTM data[J]. Remote Sensing of Environment, 2008, 112(1): 107-117.

    [18] Korhonen L, Korpela I, Heiskanen J, et al. Airborne discrete-return LiDAR data in the estimation of vertical canopy cover, angular canopy closure and leaf area index[J]. Remote Sensing of Environment, 2011, 115(4): 1065-1080.

    [19] Peduzzi A, Wynne R H, Fox T R, et al. Estimating leaf area index in intensively managed pine plantations using airborne laser scanner data[J]. Forest Ecology and Management, 2012, 270: 54-65.

    [20] Dupuya S, Lainéa G,Tassinb J, et al. Characterization of the horizontal structure of the tropical forest canopy using object-based LiDAR and multispectral image analysis[J]. International Journal of Applied Earth Observation and Geoinformation, 2013, 25: 76-86.

    [23] Solberg S. Mapping gap fraction, LAI and defoliation using various ALS penetration variables[J]. International Journal of Remote Sensing, 2010, 31(5): 1227-1244.

    [24] Lefsky M A, Hudak A T, Cohen W B, et al. Geographic variability in LiDAR predictions of forest stand structure in the Pacific Northwest[J]. Remote Sensing of Environment, 2005, 95(4): 532-548.

    [25] Koch B. Status and future of laser scanning, synthetic aperture radar and hyperspectral remote sensing data for forest biomass assessment[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2010, 65(6): 581-590.

    [26] Zhao K, Popescu S. Lidar-based mapping of leaf area index and its use for validating GLOBCARBON satellite LAI product in a temperate forest of the southern USA[J]. Remote Sensing of Environment, 2009, 113(8): 1628-1645.

    [31] Duong V H, Lindenbergh R, Pfeifer N, et al. Single and two epoch analysis of ICESat full waveform data over forested areas[J]. International Journal of Remote Sensing, 2008, 29(5): 1453-1473.

    [32] Chen Q. Retrieving vegetation height of forests and woodlands over mountainous areas in the Pacific Coast region using satellite laser altimetry[J]. Remote Sensing of Environment, 2010, 114(7): 1610-1627.

    [33] Jiang Z, Huete A R, Chen J. et al. Analysis of NDVI and scaled difference vegetation index retrievals of vegetation fraction[J]. Remote Sensing of Environment, 2006, 101(3): 366-378.

    [35] Pang Y, Lefsky M, Andersen H, et al. Validation of the ICEsat vegetation product using crown-area-weighted mean height derived using crown delineation with discrete return lidar data[J]. Canadian Journal of Remote Sensing, 2008, 34(Suppl.2), 471-484.

    [36] Lefsky M A, Keller M, Pang Y, et al. Revised method for forest canopy height estimation from Geoscience laser Altimeter System waveforms[J]. Journal of Applied Remote Sensing, 2007, 1: 1-18.

    [38] 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.

    [39] Richardson J J, Moskal L M, Kim S H, et al. Modeling approaches to estimate effective leaf area index from aerial discrete-return LiDAR[J]. Agricultural and Forest Meteorology, 2009, 149(6-7): 1152-1160.

    [40] Brovelli M A, Crespib M, Fratarcangeli F, et al. Accuracy assessment of high resolution satellite imagery orientation by leave-one-out method[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2008, 63(4): 427-440.

    LUO She-Zhou, WANG Cheng, XI Xiao-Huan, NIE Sheng, XIA Shao-Bo, WAN Yi-Ping. Forest leaf area index estimation using combined ICESat/GLAS and optical remote sensing image[J]. Journal of Infrared and Millimeter Waves, 2015, 34(2): 243
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