Quantifying forest canopy traits: Imaging spectroscopy versus field survey

[1]  Clayton C. Kingdon,et al.  Spectroscopic determination of leaf morphological and biochemical traits for northern temperate and boreal tree species. , 2014, Ecological applications : a publication of the Ecological Society of America.

[2]  F. Achard,et al.  Determination of tropical deforestation rates and related carbon losses from 1990 to 2010 , 2014, Global change biology.

[3]  Roberta E. Martin,et al.  Amazonian functional diversity from forest canopy chemical assembly , 2014, Proceedings of the National Academy of Sciences.

[4]  D. Burslem,et al.  Forests and Global Change: Forests and global change: an overview , 2014 .

[5]  Roberta E. Martin,et al.  Landscape-scale changes in forest structure and functional traits along an Andes-to-Amazon elevation gradient , 2013 .

[6]  M. Schaepman,et al.  Review of optical-based remote sensing for plant trait mapping , 2013 .

[7]  Philip Lewis,et al.  Hyperspectral remote sensing of foliar nitrogen content , 2012, Proceedings of the National Academy of Sciences.

[8]  Gregory Asner,et al.  Mapping Savanna Tree Species at Ecosystem Scales Using Support Vector Machine Classification and BRDF Correction on Airborne Hyperspectral and LiDAR Data , 2012, Remote. Sens..

[9]  Roberta E. Martin,et al.  Carnegie Airborne Observatory-2: Increasing science data dimensionality via high-fidelity multi-sensor fusion , 2012 .

[10]  S. Goetz,et al.  Estimated carbon dioxide emissions from tropical deforestation improved by carbon-density maps , 2012 .

[11]  Roberta E. Martin,et al.  Spectroscopy of canopy chemicals in humid tropical forests , 2011 .

[12]  Andrew K. Skidmore,et al.  Dry season mapping of savanna forage quality, using the hyperspectral Carnegie Airborne Observatory sensor , 2011 .

[13]  Gregory P Asner,et al.  Canopy phylogenetic, chemical and spectral assembly in a lowland Amazonian forest. , 2011, The New phytologist.

[14]  S. Ollinger.  Sources of variability in canopy reflectance and the convergent properties of plants. , 2011, The New phytologist.

[15]  Luiz E. O. C. Aragão,et al.  Net primary productivity allocation and cycling of carbon along a tropical forest elevational transect in the Peruvian Andes , 2010 .

[16]  Brian R. Johnson,et al.  Advances in airborne remote sensing of ecosystem processes and properties: toward high-quality measurement on a global scale , 2010, Optical Engineering + Applications.

[17]  Roberta E. Martin,et al.  Brightness-normalized Partial Least Squares Regression for hyperspectral data , 2010 .

[18]  Onisimo Mutanga,et al.  Forage quality of savannas - Simultaneously mapping foliar protein and polyphenols for trees and grass using hyperspectral imagery , 2010 .

[19]  M. Ilman,et al.  Net primary productivity allocation and cycling of carbon along a tropical forest elevational transect in the , 2010 .

[20]  S. Ganguly,et al.  Amazon forests did not green‐up during the 2005 drought , 2009 .

[21]  Yadvinder Malhi,et al.  Basin-wide variations in foliar properties of Amazonian forest: phylogeny, soils and climate. , 2009 .

[22]  Michael E. Schaepman,et al.  Retrieval of foliar information about plant pigment systems from high resolution spectroscopy , 2009 .

[23]  R. Kokaly,et al.  Characterizing canopy biochemistry from imaging spectroscopy and its application to ecosystem studies , 2009 .

[24]  W. Verhoef,et al.  PROSPECT+SAIL models: A review of use for vegetation characterization , 2009 .

[25]  L. Poorter,et al.  Causes and consequences of variation in leaf mass per area (LMA): a meta-analysis. , 2009, The New phytologist.

[26]  Roberta E. Martin,et al.  Spectral and chemical analysis of tropical forests: Scaling from leaf to canopy levels , 2008 .

[27]  S. Ollinger,et al.  A generalizable method for remote sensing of canopy nitrogen across a wide range of forest ecosystems , 2008 .

[28]  Gregory P Asner,et al.  The biogeochemical heterogeneity of tropical forests. , 2008, Trends in ecology & evolution.

[29]  Roberta E. Martin,et al.  PROSPECT-4 and 5: Advances in the leaf optical properties model separating photosynthetic pigments , 2008 .

[30]  Gregory Asner,et al.  Hyperspectral Remote Sensing of Canopy Chemistry, Physiology, and Biodiversity in Tropical Rainforests , 2008 .

[31]  O. Phillips,et al.  The RAINFOR database: monitoring forest biomass and dynamics , 2007 .

[32]  J. Chambers,et al.  Regional ecosystem structure and function: ecological insights from remote sensing of tropical forests. , 2007, Trends in ecology & evolution.

[33]  E. Ainsworth,et al.  Estimation of total phenolic content and other oxidation substrates in plant tissues using Folin–Ciocalteu reagent , 2007, Nature Protocols.

[34]  Anne-Laure Boulesteix,et al.  Partial least squares: a versatile tool for the analysis of high-dimensional genomic data , 2006, Briefings Bioinform..

[35]  Roberta E. Martin,et al.  Carnegie Airborne Observatory: in-flight fusion of hyperspectral imaging and waveform light detection and ranging for three-dimensional studies of ecosystems , 2007 .

[36]  U. Benz,et al.  The EnMAP hyperspectral imager—An advanced optical payload for future applications in Earth observation programmes , 2006 .

[37]  D. Roberts,et al.  Combining spectral and spatial information to map canopy damage from selective logging and forest fires , 2005 .

[38]  K. Kitajima,et al.  Variation in crown light utilization characteristics among tropical canopy trees. , 2004, Annals of botany.

[39]  D. Roberts,et al.  Using Imaging Spectroscopy to Study Ecosystem Processes and Properties , 2004 .

[40]  Sean C. Thomas,et al.  The worldwide leaf economics spectrum , 2004, Nature.

[41]  Sheng Chen,et al.  Sparse modeling using orthogonal forward regression with PRESS statistic and regularization , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[42]  E. Cuevas,et al.  Nutrient dynamics within amazonian forests , 1988, Oecologia.

[43]  J. R. Evans.  Photosynthesis and nitrogen relationships in leaves of C3 plants , 2004, Oecologia.

[44]  Jane R. Foster,et al.  Application of imaging spectroscopy to mapping canopy nitrogen in the forests of the central Appalachian Mountains using Hyperion and AVIRIS , 2003, IEEE Trans. Geosci. Remote. Sens..

[45]  Kalle Ruokolainen,et al.  LINKING FLORISTIC PATTERNS WITH SOIL HETEROGENEITY AND SATELLITE IMAGERY IN ECUADORIAN AMAZONIA , 2003 .

[46]  Gregory P. Asner,et al.  Imaging spectroscopy measures desertification in United States and Argentina , 2001 .

[47]  Harald Martens,et al.  Reliable and relevant modelling of real world data: a personal account of the development of PLS Regression , 2001 .

[48]  Giles M. Foody,et al.  Assessing the ground data requirements for regional scale remote sensing of tropical forest biophysical properties , 2000 .

[49]  Jessica A. Faust,et al.  Imaging Spectroscopy and the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) , 1998 .

[50]  G. Asner.  Biophysical and Biochemical Sources of Variability in Canopy Reflectance , 1998 .

[51]  P. North,et al.  Analyzing the effect of structural variability and canopy gaps on forest BRDF using a geometric-optical model , 1997 .

[52]  Mary E. Martin,et al.  HIGH SPECTRAL RESOLUTION REMOTE SENSING OF FOREST CANOPY LIGNIN, NITROGEN, AND ECOSYSTEM PROCESSES , 1997 .

[53]  P. Reich,et al.  Leaf carbon and nutrient assimilation and conservation in species of differing successional status in an oligotrophic Amazonian forest , 1995 .

[54]  R. Myneni,et al.  Radiative transfer in three-dimensional atmosphere-vegetation media , 1993 .

[55]  Fred A. Kruse,et al.  The Spectral Image Processing System (SIPS) - Interactive visualization and analysis of imaging spectrometer data , 1993 .

[56]  P. Coley,et al.  Colonization of Tropical Rain Forest Leaves by Epiphylls: Effects of Site and Host Plant Leaf Lifetime , 1993 .

[57]  C. Wessman.  Imaging spectrometry for remote sensing of ecosystem processes , 1992 .

[58]  F. Stuart Chapin,et al.  Integrated Responses of Plants to Stress , 1991 .

[59]  P. Curran.  Remote sensing of foliar chemistry , 1989 .

[60]  R. Myneni,et al.  A review on the theory of photon transport in leaf canopies , 1989 .

[61]  C. Wessman,et al.  Remote sensing of canopy chemistry and nitrogen cycling in temperate forest ecosystems , 1988, Nature.

[62]  E. V. Thomas,et al.  Partial least-squares methods for spectral analyses. 1. Relation to other quantitative calibration methods and the extraction of qualitative information , 1988 .

[63]  D. H. Card,et al.  Remote sensing of forest canopy and leaf biochemical contents , 1988 .

[64]  E. Cuevas,et al.  II. Fine root growth, nutrient availability and leaf litter decomposition , 1988 .

[65]  B. Beden,et al.  Infrared Reflectance Spectroscopy , 1988 .

[66]  David L. Peterson,et al.  Foliar analysis using near infrared reflectance spectroscopy , 1988 .

[67]  A F Goetz,et al.  Imaging Spectrometry for Earth Remote Sensing , 1985, Science.

[68]  Maurice Demarty,et al.  Calcium and the cell wall , 1984 .

[69]  John F. Muratore,et al.  Nitrogen and Lignin Control of Hardwood Leaf Litter Decomposition Dynamics , 1982 .

[70]  Peter M. Vitousek,et al.  Nutrient Cycling and Nutrient Use Efficiency , 1982, The American Naturalist.