Spectral response to varying levels of leaf pigments collected from a degraded mangrove forest
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John M. Kovacs | Francisco Flores-Verdugo | Chunhua Zhang | Yali Liu | Francisco Flores de Santiago | Ke Chen | J. Kovacs | F. Flores-Verdugo | Chunhua Zhang | F. de Santiago | Yali Liu | Ke-nan Chen
[1] Shiv O. Prasher,et al. ESTIMATION OF CROP BIOPHYSICAL PARAMETERS THROUGH AIRBORNE AND FIELD HYPERSPECTRAL REMOTE SENSING , 2003 .
[2] Armando Apan,et al. Detecting sugarcane ‘orange rust’ disease using EO-1 Hyperion hyperspectral imagery , 2004 .
[3] B. Turner,et al. Estimating foliage nitrogen concentration from HYMAP data using continuum, removal analysis , 2004 .
[4] Le Wang,et al. Distinguishing mangrove species with laboratory measurements of hyperspectral leaf reflectance , 2009 .
[5] A. Gitelson,et al. Detection of Red Edge Position and Chlorophyll Content by Reflectance Measurements Near 700 nm , 1996 .
[6] C. Vaiphasa. Remote sensing techniques for mangrove mapping , 2006 .
[7] C. Elvidge. Visible and near infrared reflectance characteristics of dry plant materials , 1990 .
[8] D. Horler,et al. The red edge of plant leaf reflectance , 1983 .
[9] B. Datt. Remote Sensing of Chlorophyll a, Chlorophyll b, Chlorophyll a+b, and Total Carotenoid Content in Eucalyptus Leaves , 1998 .
[10] G. A. Blackburn,et al. Hyperspectral remote sensing of plant pigments. , 2006, Journal of experimental botany.
[11] Chaoyang Wu,et al. Estimating chlorophyll content from hyperspectral vegetation indices : Modeling and validation , 2008 .
[12] Jinfei Wang,et al. The Use of Multipolarized Spaceborne SAR Backscatter for Monitoring the Health of a Degraded Mangrove Forest , 2008 .
[13] G. Carter,et al. Early detection of plant stress by digital imaging within narrow stress-sensitive wavebands , 1994 .
[14] J. Schjoerring,et al. Reflectance measurement of canopy biomass and nitrogen status in wheat crops using normalized difference vegetation indices and partial least squares regression , 2003 .
[15] John R. Miller,et al. Assessing vineyard condition with hyperspectral indices: Leaf and canopy reflectance simulation in a row-structured discontinuous canopy , 2005 .
[16] George Alan Blackburn,et al. Wavelet decomposition of hyperspectral data: a novel approach to quantifying pigment concentrations in vegetation , 2007 .
[17] John R. Miller,et al. Integrated narrow-band vegetation indices for prediction of crop chlorophyll content for application to precision agriculture , 2002 .
[18] J. Kovacs,et al. Evaluating the condition of a mangrove forest of the Mexican Pacific based on an estimated leaf area index mapping approach , 2009, Environmental monitoring and assessment.
[19] E. Barbier,et al. Ethnobiology, socio-economics and management of mangrove forests: A review , 2008 .
[20] P. Curran. Remote sensing of foliar chemistry , 1989 .
[21] D. M. Moss,et al. Red edge spectral measurements from sugar maple leaves , 1993 .
[22] Huang Wenjiang,et al. Using hyperspectral indices to estimate foliar chlorophyll a concentrations of winter wheat under yellow rust stress , 2007 .
[23] G. Naidoo. Factors contributing to dwarfing in the mangrove Avicennia marina. , 2006, Annals of botany.
[24] Moon S. Kim,et al. Ratio Analysis Of Reflectance Spectra , 1990, 10th Annual International Symposium on Geoscience and Remote Sensing.
[25] G. A. Blackburn,et al. Quantifying Chlorophylls and Caroteniods at Leaf and Canopy Scales: An Evaluation of Some Hyperspectral Approaches , 1998 .
[26] A. Skidmore,et al. Tropical mangrove species discrimination using hyperspectral data: A laboratory study , 2005 .
[27] G. Bonham-Carter. Numerical procedures and computer program for fitting an inverted Gaussian model to vegetation reflectance data , 1988 .
[28] H. Lichtenthaler. CHLOROPHYLL AND CAROTENOIDS: PIGMENTS OF PHOTOSYNTHETIC BIOMEMBRANES , 1987 .
[29] Jinfei Wang,et al. Mapping mangrove leaf area index at the species level using IKONOS and LAI-2000 sensors for the Agua Brava Lagoon, Mexican Pacific , 2005 .
[30] Ariel E. Lugo,et al. Ecophysiology of a Mangrove Forest in Jobos Bay, Puerto Rico , 2007 .
[31] Raymond I Carruthers,et al. Canopy assessment of biochemical features by ground-based hyperspectral data for an invasive species, giant reed (Arundo donax) , 2008, Environmental monitoring and assessment.
[32] Teferi D. Tsegaye,et al. Relationship Between Hyperspectral Reflectance, Soil Nitrate-Nitrogen, Cotton Leaf Chlorophyll, and Cotton Yield: A Step Toward Precision Agriculture , 2003 .
[33] Siza D. Tumbo,et al. HYPERSPECTRAL CHARACTERISTICS OF CORN PLANTS UNDER DIFFERENT CHLOROPHYLL LEVELS , 2000 .
[34] Mary E. Martin,et al. Determination of carbon fraction and nitrogen concentration in tree foliage by near infrared reflectance : a comparison of statistical methods , 1996 .
[35] George Alan Blackburn,et al. Relationships between Spectral Reflectance and Pigment Concentrations in Stacks of Deciduous Broadleaves , 1999 .
[36] P. Curran,et al. Technical Note Grass chlorophyll and the reflectance red edge , 1996 .
[37] Fumin Wang,et al. Comparison between back propagation neural network and regression models for the estimation of pigment content in rice leaves and panicles using hyperspectral data , 2007 .
[38] Moon S. Kim,et al. Estimating Corn Leaf Chlorophyll Concentration from Leaf and Canopy Reflectance , 2000 .
[39] O. Mutanga,et al. Multispectral and hyperspectral remote sensing for identification and mapping of wetland vegetation: a review , 2010, Wetlands Ecology and Management.