Spectroscopic classification of tropical forest species using radiative transfer modeling

Remote Sensing of Environment - Tập 115 - Trang 2415-2422 - 2011
Jean-Baptiste Féret1, Gregory P. Asner1
1Department of Global Ecology, Carnegie Institution for Science, 260 Panama Street, Stanford, CA 94305, USA

Tài liệu tham khảo

Asner, 1998, Biophysical and biochemical sources of variability in canopy reflectance, Remote Sensing of Environment, 64, 134, 10.1016/S0034-4257(98)00014-5 Asner, 2003, Global synthesis of leaf area index observations: Implications for ecological and remote sensing studies, Global Ecology and Biogeography, 12, 191, 10.1046/j.1466-822X.2003.00026.x Asner, 2005, Remote analysis of biological invasion and biogeochemical change, Proceedings of the National Academy of Sciences of the United States of America, 102, 4383, 10.1073/pnas.0500823102 Asner, 2008, Spectral and chemical analysis of tropical forests: Scaling from leaf to canopy levels, Remote Sensing of Environment, 112, 3958, 10.1016/j.rse.2008.07.003 Asner, 2009, Airborne spectranomics: Mapping canopy chemical and taxonomic diversity in tropical forests, Frontiers in Ecology and the Environment, 7, 269, 10.1890/070152 Asner, 2010, Combined effect of climate and land-use change on the future of humid tropical forests, Conservation Letters, 3, 395, 10.1111/j.1755-263X.2010.00133.x Asner, 2011, Taxonomy and remote sensing of leaf mass per area (LMA) in humid tropical forests, Ecological Applications, 21, 85, 10.1890/09-1999.1 Asner, 2011, Canopy phylogenic, chemical and spectral assembly in a lowland Amazonian forest, The New Phytologist, 189, 999, 10.1111/j.1469-8137.2010.03549.x Bacour, 2006, Neural network estimation of LAI, fAPAR, fCover and LAI×Cab, from top of canopy MERIS reflectance data: Principles and validation, Remote Sensing of Environment, 105, 313, 10.1016/j.rse.2006.07.014 Baret, 1994, Use of spectral analogy to evaluate canopy reflectance sensitivity to leaf optical properties, Remote Sensing of Environment, 48, 253, 10.1016/0034-4257(94)90146-5 Barlow, 2007, Quantifying the biodiversity value of tropical primary, secondary, and plantation forests, Proceedings of the National Academy of Sciences, 104, 18555, 10.1073/pnas.0703333104 Barry, 2009, Estimation of chlorophyll content in Eucalyptus globulus foliage with the leaf reflectance model PROSPECT, Agricultural and Forest Meteorology, 149, 1209, 10.1016/j.agrformet.2009.01.005 Campbell, 1990, Derivation of an angle density function for canopies with ellipsoidal leaf angle distributions, Agricultural and Forest Meteorology, 49, 173, 10.1016/0168-1923(90)90030-A Carlson, 2007, Hyperspectral remote sensing of canopy biodiversity in Hawaiian lowland rainforests, Ecosystems, 10, 536, 10.1007/s10021-007-9041-z Castro-Esau, 2006, Variability in leaf optical properties of Mesoamerican trees and the potential for species classification, American Journal of Botany, 93, 517, 10.3732/ajb.93.4.517 Clark, 2005, Hyperspectral discrimination of tropical rain forest tree species at leaf to crown scales, Remote Sensing of Environment, 96, 375, 10.1016/j.rse.2005.03.009 Cochrane, 2000, Using vegetation reflectance variability for species level classification of hyperspectral data, International Journal of Remote Sensing, 21, 2075, 10.1080/01431160050021303 Combal, 2002, Retrieval of canopy biophysical variables from bidirectional reflectance: Using prior information to solve the ill-posed inverse problem, Remote Sensing of Environment, 84, 1, 10.1016/S0034-4257(02)00035-4 Féret, 2008, PROSPECT-4 and 5: Advances in the leaf optical properties model separating photosynthetic pigments, Remote Sensing of Environment, 112, 3030, 10.1016/j.rse.2008.02.012 Féret, J. -B., François, C., Gitelson, A. A., Asner, G. P., Barry, K. M., Panigada, C., Richardson, A. D., & Jacquemoud, S. (submitted for publication). Design of optimal spectral indices for the retrieval of leaf pigments, water and dry matter content. Remote Sensing of Environment. Féret, J. -B., & Asner, G. P. (in preparation). A method to extract leaf spectral absorption from canopy reflectance. Fourty, 1996, Leaf optical properties with explicit description of its biochemical composition: Direct and inverse problems, Remote Sensing of Environment, 56, 104, 10.1016/0034-4257(95)00234-0 Friedman, 1989, Regularized discriminant analysis, Journal of the American Statistical Association, 84, 165, 10.1080/01621459.1989.10478752 Fung, 1998, Hyperspectral data analysis for subtropical tree species recognition, Vol. 3, 1298 Fung, 1999 Gong, 1997, Conifer species recognition: exploratory analysis of in situ hyperspectral data, Remote Sensing of Environment, 62, 189, 10.1016/S0034-4257(97)00094-1 Goodenough, 2003, Processing Hyperion and ALI for forest classification, IEEE Transactions on Geoscience and Remote Sensing, 41, 1321, 10.1109/TGRS.2003.813214 Jacquemoud, 1990, PROSPECT: A model of leaf optical properties spectra, Remote Sensing of Environment, 34, 75, 10.1016/0034-4257(90)90100-Z Jacquemoud, 1993, Inversion of the PROSPECT+SAIL canopy reflectance model from AVIRIS equivalent spectra: theoretical study, Remote Sensing of Environment, 44, 281, 10.1016/0034-4257(93)90022-P Jacquemoud, 2009, PROSPECT+SAIL models: A review of use for vegetation characterization, Remote Sensing of Environment, 113, S56, 10.1016/j.rse.2008.01.026 Kokaly, 2009, Characterizing canopy biochemistry from imaging spectroscopy and its application to ecosystem studies, Remote Sensing of Environment, 113, S78, 10.1016/j.rse.2008.10.018 Leckie, 2005, Issues in species classification of trees in old growth conifer stands, Canadian Journal of Remote Sensing, 30, 175, 10.5589/m05-004 Lee, 2004, Hyperspectral versus multispectral data for estimating leaf area index in four different biomes, Remote Sensing of Environment, 91, 508, 10.1016/j.rse.2004.04.010 Martin, 1998, Determining forest species composition using high spectral resolution remote sensing data, Remote Sensing of Environment, 65, 249, 10.1016/S0034-4257(98)00035-2 Martin, 2009, Leaf chemical and optical properties of Metrosideros polymorpha across environmental gradients in Hawaii, Biotropica, 41, 292, 10.1111/j.1744-7429.2009.00491.x Myers, 2002, Biodiversity and biodepletion: The need for a paradigm shift, 46 Nagendra, 2001, Using remote sensing to assess biodiversity, International Journal of Remote Sensing, 22, 2377, 10.1080/01431160117096 Papeş, 2010, Using hyperspectral satellite imagery for regional inventories: a test with tropical emergent trees in the Amazon Basin, Journal of Vegetation Science, 21, 342, 10.1111/j.1654-1103.2009.01147.x Price, 1994, How unique are spectral signatures?, Remote Sensing of Environment, 49, 181, 10.1016/0034-4257(94)90013-2 Rivard, 2008, Species classification of tropical tree leaf reflectance and dependence on selection of spectral bands, 261 Roberts, 1998, Spectral changes with leaf aging in Amazon caatinga, Trees-Structure and Function, 12, 315, 10.1007/s004680050157 Roberts, 2004, Spectral and structural measures of Northwest forest vegetation at leaf to landscape scales, Ecosystems, 7, 545, 10.1007/s10021-004-0144-5 Schulze, 2004, Biodiversity indicator groups of tropical land-use systems: Comparing plants, birds, and insects, Ecological Applications, 14, 1321, 10.1890/02-5409 Ustin, 2009, Retrieval of foliar information about plant pigment systems from high resolution spectroscopy, Remote Sensing of Environment, 113, S67, 10.1016/j.rse.2008.10.019 Van Aardt, 2007, Examining pine spectral separability using hyperspectral data from an airborne sensor: An extension of field-based results, International Journal of Remote Sensing, 28, 431, 10.1080/01431160500444772 Verhoef, W. (1998). Theory of radiative transfer models applied in optical remote sensing of vegetation canopies. Ph.D. dissertation, Wageningen Agricultural Univ., Wageningen, The Netherlands. Verhoef, 2007, Coupled soil–leaf-canopy and atmosphere radiative transfer modeling to simulate hyperspectral multi-angular surface reflectance and TOA radiance data, Remote Sensing of Environment, 109, 166, 10.1016/j.rse.2006.12.013 Vitousek, 2004 Wagner, 1999 Yu, 2006, Object-based detailed vegetation classification with airborne high spatial resolution remote sensing imagery, Photogrammetric Engineering and Remote Sensing, 72, 799, 10.14358/PERS.72.7.799