Examination of the quantitative relationship between vegetation canopy height and LAI

Advances in Meteorology

Volumn 2013, Issue , 2013, Pages

  Yuan, Yongwei ^a   Wang, Xinsheng ^a   Yin, Fang ^b,c   Zhan, Jinyan ^d  

^a HUBEI UNIVERSITY   (China)

^b INSTITUTE OF GEOGRAPHIC SCIENCES AND NATURAL RESOURCES RESEARCH   (China)

^c INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^d BEIJING NORMAL UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84893675111     PISSN: 16879309     EISSN: 16879317     Source Type: Journal    
DOI: 10.1155/2013/964323     Document Type: Article

References (34)

1. Nemani R. R., Running S. W., Pielke R. A., Chase T. N., Global vegetation cover changes from coarse resolution satellite data. Journal of Geophysical Research D 1996 101 3 7157 7162 2-s2.0-0029751617
2. Darvishzadeh R., Skidmore A., Schlerf M., Atzberger C., Inversion of a radiative transfer model for estimating vegetation LAI and chlorophyll in a heterogeneous grassland. Remote Sensing of Environment 2008 112 5 2592 2604 2-s2.0-41449108067 10.1016/j.rse.2007.12.003
3. Takahashi H. G., Yoshikane T., Hara M., Takata K., Yasunari T., High-resolution modelling of the potential impact of land surface conditions on regional climate over Indochina associated with the diurnal precipitation cycle. International Journal of Climatology 2010 30 13 2004 2020 2-s2.0-77949403946 10.1002/joc.2119
4. Selkowitz D. J., Green G., Peterson B., Wylie B., A multi-sensor lidar, multi-spectral and multi-angular approach for mapping canopy height in boreal forest regions. Remote Sensing of Environment 2012 121 458 471 2-s2.0-84858729939 10.1016/j.rse.2012.02.020
5. Chen J. M., Black T. A., Measuring leaf area index of plant canopies with branch architecture. Agricultural and Forest Meteorology 1991 57 1-3 1 12 2-s2.0-0026380713 (Pubitemid 23395551)
6. Wu B., Zeng Y., Huang J., Overview of LAI/FPAR retrieval from remotely sensed data. Advance in Earth Sciences 2004 10 4 585 590
7. Bonan G. B., Importance of leaf area index and forest type when estimating photosynthesis in boreal forests. Remote Sensing of Environment 1993 43 3 303 314 2-s2.0-0027335302 (Pubitemid 23379938)
8. Jensen J. L. R., Humes K. S., Vierling L. A., Hudak A. T., Discrete return lidar-based prediction of leaf area index in two conifer forests. Remote Sensing of Environment 2008 112 10 3947 3957 2-s2.0-50849113061 10.1016/j.rse.2008.07.001
9. Raupach M. R., Simplified expressions for vegetation roughness length and zero-plane displacement as functions of canopy height and area index. Boundary-Layer Meteorology 1994 71 1-2 211 216 2-s2.0-0028173787 (Pubitemid 288957)
10. Kaimal J. C., Finnigan J. J., Atmospheric Boundary Layer Flows: Their Structure and Measurement 1994 New York, NY, USA Oxford University Press
11. Desai A. R., Noormets A., Bolstad P. V., Chen J., Cook B. D., Davis K. J., Euskirchen E. S., Gough C., Martin J. G., Ricciuto D. M., Schmid H. P., Tang J., Wang W., Influence of vegetation and seasonal forcing on carbon dioxide fluxes across the Upper Midwest, USA: implications for regional scaling. Agricultural and Forest Meteorology 2008 148 2 288 308 2-s2.0-38949101178 10.1016/j.agrformet.2007.08.001 (Pubitemid 351215058)
12. Patenaude G., Milne R., Dawson T. P., Synthesis of remote sensing approaches for forest carbon estimation: reporting to the Kyoto Protocol. Environmental Science and Policy 2005 8 2 161 178 2-s2.0-18144423162 10.1016/j.envsci.2004.12.010 (Pubitemid 40613695)
13. Andersen H., Reutebuch S. E., McGaughey R. J., A rigorous assessment of tree height measurements obtained using airborne lidar and conventional field methods. Canadian Journal of Remote Sensing 2006 32 5 355 366 2-s2.0-33846784000
14. Bastiaanssen W. G. M., Menenti M., Feddes R. A., Holtslag A. A. M., A remote sensing surface energy balance algorithm for land (SEBAL): 1. Formulation. Journal of Hydrology 1998 212-213 198 212 2-s2.0-0032418987 10.1016/S0022-1694(98)00253-4 (Pubitemid 29020066)
15. Allen R. G., Tasumi M., Trezza R., Satellite-based energy balance for mapping evapotranspiration with internalized calibration (METRIC)-model. Journal of Irrigation and Drainage Engineering 2007 133 4 380 394 2-s2.0-34547127637 10.1061/(ASCE)0733-9437(2007)133:4(380) (Pubitemid 47102986)
16. Cowan I. R., Mass, heat and momentum exchange between stands of plants and their atmospheric environment. Quarterly Journal of the Royal Meteorological Society 1968 94 402 523 544 10.1002/qj.49709440208
17. Tanner C. B., Pelton W. L., Potential evapotranspiration estimates by the approximate energy balance method of Penman. Journal of Geophysical Research 1960 65 10 3391 3413 10.1029/JZ065i010p03391
18. Rannik Ü., Markkanen T., Raittila J., Hari P., Vesala T., Turbulence statistics inside and over forest: influence on footprint prediction. Boundary-Layer Meteorology 2003 109 2 163 189 2-s2.0-0141940220 10.1023/A:1025404923169 (Pubitemid 37240959)
19. Pitman A. J., Assessing the sensitivity of a land-surface scheme to the parameter values using a single column model. Journal of Climate 1994 7 12 1856 1869 2-s2.0-0028590518
20. Verhoef A., McNaughton K. G., Jacobs A. F. G., A parameterization of momentum roughness length and displacement height for a wide range of canopy densities. Hydrology and Earth System Sciences 1997 1 1 81 91 2-s2.0-0031394322
21. Nakai T., Sumida A., Daikoku K., Matsumoto K., van der Molen M. K., Kodama Y., Kononov A. V., Maximov T. C., Dolman A. J., Yabuki H., Hara T., Ohta T., Parameterisation of aerodynamic roughness over boreal, cool- and warm-temperate forests. Agricultural and Forest Meteorology 2008 148 12 1916 1925 2-s2.0-50249146909 10.1016/j.agrformet.2008.03.009
22. Hollinger D. Y., Ollingerw S. V., Richardsonw A. D., Meyersz T. P., Dail D. B., Martinw M. E., Scott N. A., Arkebauerk T. J., Baldocchi D. D., Clark K. L., Curtis P. S., Davis K. J., Desai A. R., Dragonikk D., Goulden M. L., Gu L., Katulzzz G. G., Pallardy S. G., Pawu K. T., Schmid H. P., Stoy P. C., Suyker A. E., Verma S. B., Albedo estimates for land surface models and support for a new paradigm based on foliage nitrogen concentration. Global Change Biology 2010 16 2 696 710 2-s2.0-78149264771 10.1111/j.1365-2486.2009.02028.x
23. Anderson J., Martin M. E., Smith M., Dubayah R. O., Hofton M. A., Hyde P., Peterson B. E., Blair J. B., Knox R. G., The use of waveform lidar to measure northern temperate mixed conifer and deciduous forest structure in New Hampshire. Remote Sensing of Environment 2006 105 3 248 261 2-s2.0-33750719368 10.1016/j.rse.2006.07.001 (Pubitemid 44708259)
24. Kimes D. S., Ranson K. J., Sun G., Blair J. B., Predicting lidar measured forest vertical structure from multi-angle spectral data. Remote Sensing of Environment 2006 100 4 503 511 2-s2.0-32344440535 10.1016/j.rse.2005.11.004 (Pubitemid 43216258)
25. Lefsky M. A., Cohen W. B., Parker G. G., Harding D. J., Lidar remote sensing for ecosystem studies: lidar, an emerging remote sensing technology that directly measures the three-dimensional distribution of plant canopies, can accurately estimate vegetation structural attributes and should be of particular interest to forest, landscape, and global ecologists. Bioscience 2002 52 1 19 30 10.1641/0006-3568(2002)052[0019:LRSFES]2.0.CO;2
26. Chopping M., Moisen G. G., Su L., Laliberte A., Rango A., Martonchik J. V., Peters D. P. C., Large area mapping of southwestern forest crown cover, canopy height, and biomass using the NASA Multiangle Imaging Spectro-Radiometer. Remote Sensing of Environment 2008 112 5 2051 2063 2-s2.0-41249099819 10.1016/j.rse.2007.07.024
27. Hayashi M., Saigusa N., Oguma H., Yamagata Y., Forest canopy height estimation using ICESat/GLAS data and error factor analysis in Hokkaido, Japan. ISPRS Journal of Photogrammetry and Remote Sensing 2013 81 12 18 10.1016/j.isprsjprs.2013.04.004
28. Gamon J. A., Field C. B., Goulden M. L., Griffin K. L., Hartley A. E., Joel G., Penuelas J., Valentini R., Relationships between NDVI, canopy structure, and photosynthesis in three Californian vegetation types. Ecological Applications 1995 5 1 28 41 2-s2.0-0029132359
29. Gao S., Niu Z., Huang N., Hou X., Estimating the leaf area index, height and biomass of maize using HJ-1 and RADARSAT-2. International Journal of Applied Earth Observation and Geoinformation 2013 24 1 8 10.1016/j.jag.2013.02.002
30. Asrar G., Myneni R. B., Choudhury B. J., Spatial heterogeneity in vegetation canopies and remote sensing of absorbed photosynthetically active radiation: a modeling study. Remote Sensing of Environment 1992 41 2-3 85 103 2-s2.0-0027010136
31. Baldocchi D., Falge E., Gu L., Olson R., Hollinger D., Running S., Anthoni P., Bernhofer C., Davis K., Evans R., Fuentes J., Goldstein A., Katul G., Law B., Lee X., Malhi Y., Meyers T., Munger W., Oechel W., Paw U. K. T., Pilegaard K., Schmid H. P., Valentini R., Verma S., Vesala T., Wilson K., Wofsy S., FLUXNET: a new tool to study the temporal and spatial variability of ecosystem-scale carbon dioxide, water vapor, and energy flux densities. Bulletin of the American Meteorological Society 2001 82 11 2415 2434 2-s2.0-0001633245 (Pubitemid 33642006)
32. Turner B. L. II, Skole D., Sanderson S., Fischer G., Fresco L. O., Leemans R., Land-use and land-cover change: science/research plan. HDP Report7/IGBP Report 1995 35 2-s2.0-0029529473
33. Cohen W. B., Maiersperger T. K., Yang Z., Gower S. T., Turner D. P., Ritts W. D., Berterretche M., Running S. W., Comparisons of land cover and LAI estimates derived from ETM+ and MODIS for four sites in North America: a quality assessment of 2000/2001 provisional MODIS products. Remote Sensing of Environment 2003 88 3 233 255 2-s2.0-0842306348 10.1016/j.rse.2003.06.006 (Pubitemid 38178940)
34. Cho J., Miyazaki S., Yeh P. J. F., Kim W., Kanae S., Oki T., Testing the hypothesis on the relationship between aerodynamic roughness length and albedo using vegetation structure parameters. International Journal of Biometeorology 2012 56 2 411 418 2-s2.0-84857062549 10.1007/s00484-011-0445-2