Improvement of spatially continuous forest LAI retrieval by integration of discrete airborne LiDAR and remote sensing multi-angle optical data

Agricultural and Forest Meteorology

Volumn 189-190, Issue , 2014, Pages 60-70

  Ma, Han ^a,b   Song, Jinling ^a,b   Wang, Jindi ^a,b   Xiao, Zhiqiang ^a,b   Fu, Zhuo ^c  

^a INSTITUTE OF REMOTE SENSING APPLICATIONS   (China)

^b BEIJING NORMAL UNIVERSITY   (China)

^c NANJING INSTITUTE OF ENVIRONMENTAL SCIENCES   (China)

Author keywords

Canopy height; Forest; LAI; LiDAR; MISR; MODIS

Indexed keywords

ALGORITHM; CLIMATE MODELING; ESTIMATION METHOD; FOREST CANOPY; GLOBAL CLIMATE; LEAF AREA INDEX; LIDAR; OPTICAL METHOD; REGRESSION ANALYSIS; REMOTE SENSING;

CHINA; GANSU;

EID: 84893390328     PISSN: 01681923     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.agrformet.2014.01.009     Document Type: Article

References (38)

1. Boggs P.T., Tolle J.W. Sequential quadratic programming. Acta Numerica 1995, 4:1-51.
2. Chen G., Wulder M.A., White J.C., Hilker T., Coops N.C. LiDAR calibration and validation for geometric-optical modeling with Landsat imagery. Remote Sensing of Environment 2012, 124:384-393.
3. Chen J.M. Optically-based methods for measuring seasonal variation of leaf area index in boreal conifer stands. Agricultural and Forest Meteorology 1996, 80:135-163.
4. Chen J.M., Black T.A. Defining leaf area index for non-flat leaves. Plant, Cell & Environment 1992, 15:421-429.
5. Chen J.M., Cihlar J. Plant canopy gap-size analysis theory for improving optical measurements of leaf-area index. Applied Optics 1995, 34:6211-6222.
6. Chen J.M., Govind A., Sonnentag O., Zhang Y., Barr A., Amiro B. Leaf area index measurements at Fluxnet-Canada forest sites. Agricultural and Forest Meteorology 2006, 140:257-268.
7. Demcsak M. HDF-EOS Library Users Guide for the ECS Project. Function Reference Guide. Document 170-TP-006-003 1997, vol. 2. Hughes Applied Information Systems, Upper Marlboro, MD, USA.
8. Diner D.J., Beckert J.C., Reilly T.H., Bruegge C.J., Conel J.E., Kahn R.A., Martonchik J.V., Ackerman T.P., Davies R., Gerstl S.A.W. Multi-angle Imaging SpectroRadiometer (MISR) instrument description and experiment overview. IEEE Transactions on Geoscience and Remote Sensing 1998, 36:1072-1087.
9. Dubayah R., Sheldon S., Clark D., Hofton M., Blair J., Hurtt G., Chazdon R. Estimation of tropical forest height and biomass dynamics using LiDAR remote sensing at La Selva, Costa Rica. Journal of Geophysical Research 2010, 115:G00E09.
10. Fu Z., Wang J., Song J.L., Zhou H.M., Pang Y., Chen B.S. Estimation of forest canopy leaf area index using MODIS, MISR, and LiDAR observations. Journal of Applied Remote Sensing 2011, 5:053530.
11. apar, and net primary production of terrestrial ecosystems. Remote Sensing of Environment 1999, 70:29-51.
12. Hu S., Zhang W. A quality assessment of MODIS LAI product in Heihe and Hanjiang River Basins. Remote Sensing Information 2005, 4:22-27.
13. Jensen J.L., Humes K.S., Hudak A.T., Vierling L.A., Delmelle E. Evaluation of the MODIS LAI product using independent LiDAR-derived LAI: a case study in mixed conifer forest. Remote Sensing of Environment 2011, 115:3625-3639.
14. Kimes D., Ranson K., Sun G., Blair J. Predicting LiDAR measured forest vertical structure from multi-angle spectral data. Remote Sensing of Environment 2006, 100:503-511.
15. Lefsky M.A. A global forest canopy height map from the Moderate Resolution Imaging Spectroradiometer and the Geoscience Laser Altimeter System. Geophysical Research Letters 2010, 37:1-5.
16. Lefsky M.A., Cohen W.B., Parker G.G., Harding D.J. LiDAR remote sensing for ecosystem studies. BioScience 2002, 52:19-30.
17. Lefsky M.A., Harding D.J., Keller M., Cohen W.B., Carabajal C.C., Espirito-Santo F.D.B., Hunter M.O., de Oliveira R. Estimates of forest canopy height and aboveground biomass using ICESat. Geophysical Research Letters 2005, 32:L22S02.
18. Lefsky M.A., Keller M., Pang Y., De Camargo P.B., Hunter M.O. Revised method for forest canopy height estimation from Geoscience Laser Altimeter System waveforms. Journal of Applied Remote Sensing 2007, 1:013537.
19. Li X., Strahler A.H. Geometric-optical bidirectional reflectance modeling of the discrete crown vegetation canopy: Effect of crown shape and mutual shadowing. IEEE Transactions on Geoscience and Remote Sensing 1992, 30:276-292.
20. Li X., Wang J., Hu B., Strahler A.H. On utilization of a priori knowledge in inversion of remote sensing models. Science in China Series D: Earth Sciences 1998, 41:580-585.
21. Li X., Yan G., Liu Y., Wang J., Zhu C. Uncertainty and sensitivity matrix of parameters in inversion of physical BRDF models. Journal of Remote Sensing 1997, S1:113-122.
22. Liang S. Quantitative Remote Sensing of Land Surfaces 2004, John Wiley & Sons, New Jersey.
23. Lucht W., Schaaf C.B., Strahler A.H. An algorithm for the retrieval of albedo from space using semiempirical BRDF models. IEEE Transactions on Geoscience and Remote Sensing 2000, 38:977-998.
24. Neilson R.P., Drapek R.J. Potentially complex biosphere responses to transient global warming. Global Change Biology 1998, 4:505-521.
25. Popescu S.C., Wynne R.H., Nelson R.F. Estimating plot-level tree heights with LiDAR: local filtering with a canopy-height based variable window size. Computers and Electronics in Agriculture 2002, 37:71-95.
26. Popescu S.C., Zhao K., Neuenschwander A., Lin C. Satellite LiDAR vs. small footprint airborne LiDAR: comparing the accuracy of aboveground biomass estimates and forest structure metrics at footprint level. Remote Sensing of Environment 2011, 115:2786.
27. Riaño D., Valladares F., Condés S., Chuvieco E. Estimation of leaf area index and covered ground from airborne laser scanner (LiDAR) in two contrasting forests. Agricultural and Forest Meteorology 2004, 124:269-275.
28. Roujean J.L. A bidirectional reflectance model of the earth's surface for the correction of remote sensing data. Journal of Geophysical Research: Atmospheres 1992, 97(20):20455-20468.
29. Schaaf C.B., Gao F., Strahler A.H., Lucht W., Li X., Tsang T., Strugnell N.C., Zhang X., Jin Y., Muller J.P. First operational BRDF, albedo nadir reflectance products from MODIS. Remote Sensing of Environment 2002, 83:135-148.
30. Sun G., Ranson K., Zhang Z. Forest vertical parameters from LiDAR and multi-angle imaging spectrometer data. Journal of Remote Sensing - Beijing 2006, 10:523.
31. Swatantran A., Dubayah R., Roberts D., Hofton M., Blair J.B. Mapping biomass and stress in the Sierra Nevada using LiDAR and hyperspectral data fusion. Remote Sensing of Environment 2011, 115(11):2917-2930.
32. Tan B., Woodcock C., Hu J., Zhang P., Ozdogan M., Huang D., Yang W., Knyazikhin Y., Myneni R. The impact of gridding artifacts on the local spatial properties of MODIS data: Implications for validation, compositing, and band-to-band registration across resolutions. Remote Sensing of Environment 2006, 105:98-114.
33. Tarantola A. Inverse Problem Theory and Methods for Model Parameter Estimation 2005, Society for Industrial Mathematics, Albert.
34. Vermote E., Vermeulen A. Atmospheric correction algorithm: spectral reflectances (MOD09). ATBD version 4 1999.
35. Wang Z., Schaaf C.B., Lewis P., Knyazikhin Y., Schull M.A., Strahler A.H., Yao T., Myneni R.B., Chopping M.J., Blair B.J. Retrieval of canopy height using moderate-resolution imaging spectroradiometer (MODIS) data. Remote Sensing of Environment 2011, 115(6):1595-1601.
36. Wanner W., Li X., Strahler A. On the derivation of kernels for kernel-driven models of bidirectional reflectance. Journal of Geophysical Research 1995, 100:21077-21090.
37. Xing B., Ju W., Zhu G., Li X., Liu Y., Zhou Y. The comparison of different methods to measure leaf area index of forests in Maoershan Mountain, Northeastern China. IEEE 2010, 1-5.
38. 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. Remote Sensing of Environment 2009, 113:1628-1645.