Forest leaf area index estimation using combined ICESat/GLAS and optical remote sensing image

Hongwai Yu Haomibo Xuebao/Journal of Infrared and Millimeter Waves

Volumn 34, Issue 2, 2015, Pages 243-249

  Luo, She Zhou ^a,b   Wang, Cheng ^a   Xi, Xiao Huan ^a   Nie, Sheng ^a   Xia, Shao Bo ^a   Wan, Yi Ping ^a  

^a INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^b BEIJING CITY UNIVERSITY   (China)

Author keywords

Echo intensity; Geoscience laser altimeter system (GLAS); LAI; Laser penetrate index; LiDAR; Neural network

Indexed keywords

ANEROID ALTIMETERS; FORESTRY; GEOLOGY; METEOROLOGICAL INSTRUMENTS; OPTICAL RADAR; RADIO ALTIMETERS; REGRESSION ANALYSIS; REMOTE SENSING;

ECHO INTENSITY; ECOLOGICAL ENVIRONMENTS; GENERALIZATION CAPABILITY; GEOSCIENCE LASER ALTIMETER SYSTEMS; LEAVE-ONE-OUT CROSS-VALIDATION (LOOCV); OPTICAL REMOTE SENSING; REMOTELY SENSED IMAGES; WAVEFORM CHARACTERISTICS;

NEURAL NETWORKS;

ESTIMATION; IMAGE ANALYSIS; NEURAL NETWORKS; REMOTE SENSING;

EID: 84929460496     PISSN: 10019014     EISSN: None     Source Type: Journal    
DOI: 10.11972/j.issn.1001-9014.2015.02.020     Document Type: Article

References (40)

1. FANG Jing-Yun, ZHU Jiang-Ling, WANG Shao-Peng, et al. Global warming, human-induced carbon emissions, and their uncertainties [J]. Science China Earth Sciences, 2011, 41(10): 1385-1395.
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.
6. ZHANG Jia-Hua, FU Cong-Bin, YAN Xiao-Dong, et al. Global respondence analysis of LAI versus surface air temperature and precipitation variations [J]. Chinese Journal of Geophysics, 2002, 45(5): 631-637.
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.
8. LUO She-Zhou, CHENG Feng, WANG Fang-Jian, et al. Leaf area index inversion based on TM in Linzhi, Tibet [J]. Remote Sensing Technology and Application, 2012, 27(5): 740-745.
9. LIU Liang-Yun, ZHANG Bing, ZHENG Lan-Fen, et al. Target classification and soil water content regression using land surface temperature (LST) and vegetation index (VI) [J]. Journal of Infrared Millimeter Waves, 2002, 21(4): 269-273.
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.
14. LIU Cun, LI Nan, WU Hang-Bin, et al. Adjustment model of boundary extraction for urban complicate building based on LiDAR data [J]. Journal of Tongji University(Natural Science), 2012, 40(9): 1399-1405.
15. MA Hong-Chao, YAO Chun-Jing, ZHANG Sheng-De. Some technical issues of airborne LIDAR system applied to Wenchuan earthquake relief works [J]. Journal of Remote Sensing, 2008, 12(6): 925-932.
16. LIU Zheng-Jun, QIAN Jian-Guo, ZHANG Zheng-Peng, et al. Experiment on high resolution DTM acquisition by 3D terrestrial laser scanner [J]. Science of surveying and Mpping, 2006, 31(4): 72-74.
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.
21. ZHOU Meng-Wei, LIU Qin-Huo, LIU Qiang, et al. Inversion of leaf area index based on small-footprint waveform airborne LIDAR [J]. Transactions of the CSAE, 2011, 27(4): 207-213.
22. CUI Yao-Kui, ZHAO Kai-Guang, FAN Wen-Jie, et al. Retrieving crop fractional cover and LAI based on airborne Lidar data [J]. Journal of Remote Sensing, 2011, 15(6): 1276-1288.
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.
27. PANG Yong, YU Xin-Fang, LI Zeng-Yuan, et al. Waveform length extraction from ICEsat GLAS data and forest application analysis [J]. Scientia Silvae Sinicae, 2006, 42(7): 136-140.
28. XING Yan-Qiu, WANG Li-Hai. ICESat-GLAS full waveform-based Study on forest canopy height retrieval in sloped area-a case study of forests in Changbai Mountains, Jilin [J]. Geomatics and Information Science of Wuhan University, 2009, 34(6): 696-700.
29. LI Ran, WANG Cheng, SU Guo-Zhong, et al. Development and applications of spaceborne LiDAR [J]. Science & Technology Review, 2007, 25(14): 58-63.
30. DONG Li-Xin, WU Bing-Fang, TANG Shi-Hao. Estimation of forest aboveground biomass by integrating GLAS and ETM data [J]. Acta Scientiarum Naturalium Universitatis Pekinensis, 2011, 47(4): 703-710.
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.
34. LI Miao-Miao, WU Bing-Fang, YAN Chang-Zhen, et al. Estimation of vegetation fraction in the upper basin of Miyun reservoir by remote sensing [J]. Resources science 2004, 26(4): 153-159.
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.
37. LUO She-Zhou, WANG Cheng, ZHANG Gui-Bin, et al. Forest leaf area index(LAI) inversion using airborne LiDAR data [J]. Chinese Journal of Geophysics, 2013, 56(5): 1467-1475.
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.