Estimating canopy leaf nitrogen concentration in winter wheat based on multi-angular hyperspectral remote sensing

[1]  G. Suits.  The calculation of the directional reflectance of a vegetative canopy , 1971 .

[2]  M. J. Barnsley,et al.  Effects of off-nadir view angles on the detected spectral response of vegetation canopies , 1984 .

[3]  W. Verhoef.  Light scattering by leaf layers with application to canopy reflectance modelling: The SAIL model , 1984 .

[4]  B C H Turton.  A novel variant of the Savitzky-Golay filter for spectroscopic applications , 1992 .

[5]  T. Sinclair,et al.  Distribution of Nitrogen among Leaves in Soybean Canopies , 1993 .

[6]  D. M. Moss,et al.  Red edge spectral measurements from sugar maple leaves , 1993 .

[7]  Christopher B. Field,et al.  Reflectance indices associated with physiological changes in nitrogen- and water-limited sunflower leaves☆ , 1994 .

[8]  Moon S. Kim,et al.  The use of high spectral resolution bands for estimating absorbed photosynthetically active radiation (A par) , 1994 .

[9]  E. Justes,et al.  Determination of a Critical Nitrogen Dilution Curve for Winter Wheat Crops , 1994 .

[10]  Josep Peñuelas,et al.  Evaluating Wheat Nitrogen Status with Canopy Reflectance Indices and Discriminant Analysis , 1995 .

[11]  Nadine Gobron,et al.  Optical remote sensing of vegetation: Modeling, caveats, and algorithms , 1995 .

[12]  M. S. Moran,et al.  Normalization of sun/view angle effects using spectral albedo-based vegetation indices , 1995 .

[13]  I. Filella,et al.  Reflectance assessment of mite effects on apple trees , 1995 .

[14]  H. R. Duke,et al.  Remote Sensing of Plant Nitrogen Status in Corn , 1996 .

[15]  Elizabeth A. Walter-Shea,et al.  Relations between Directional SpectralVegetation Indices and Leaf Area andAbsorbed Radiation in Alfalfa , 1997 .

[16]  G. A. Blackburn,et al.  Spectral indices for estimating photosynthetic pigment concentrations: A test using senescent tree leaves , 1998 .

[17]  G. A. Blackburn,et al.  Quantifying Chlorophylls and Caroteniods at Leaf and Canopy Scales: An Evaluation of Some Hyperspectral Approaches , 1998 .

[18]  Klaus I. Itten,et al.  A field goniometer system (FIGOS) for acquisition of hyperspectral BRDF data , 1999, IEEE Trans. Geosci. Remote. Sens..

[19]  A. Gitelson,et al.  Non‐destructive optical detection of pigment changes during leaf senescence and fruit ripening , 1999 .

[20]  Yuri Knyazikhin,et al.  Cloud‐vegetation interaction: Use of normalized difference cloud index for estimation of cloud optical thickness , 2000 .

[21]  W. E. Larson,et al.  Coincident detection of crop water stress, nitrogen status and canopy density using ground-based multispectral data. , 2000 .

[22]  Moon S. Kim,et al.  Estimating Corn Leaf Chlorophyll Concentration from Leaf and Canopy Reflectance , 2000 .

[23]  O. Oenema,et al.  Does the crop or the soil indicate how to save nitrogen in maize production? Reviewing the state of the art , 2000 .

[24]  P. Thenkabail,et al.  Hyperspectral Vegetation Indices and Their Relationships with Agricultural Crop Characteristics , 2000 .

[25]  John R. Miller,et al.  Scaling-up and model inversion methods with narrowband optical indices for chlorophyll content estimation in closed forest canopies with hyperspectral data , 2001, IEEE Trans. Geosci. Remote. Sens..

[26]  John R. Miller,et al.  Four-Scale Linear Model for Anisotropic Reflectance (FLAIR) for plant canopies. I. Model description and partial validation , 2001, IEEE Trans. Geosci. Remote. Sens..

[27]  John R. Miller,et al.  Integrated narrow-band vegetation indices for prediction of crop chlorophyll content for application to precision agriculture , 2002 .

[28]  D. Sims,et al.  Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages , 2002 .

[29]  K. R. Reddy,et al.  Narrow-waveband reflectance ratios for remote estimation of nitrogen status in cotton. , 2002, Journal of environmental quality.

[30]  A. Huete,et al.  Overview of the radiometric and biophysical performance of the MODIS vegetation indices , 2002 .

[31]  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 .

[32]  Huang Jingfeng,et al.  Correlation between chemical contents of leaves and characteristic variables of hyperspectra on rice field , 2003 .

[33]  T. S. Prasad,et al.  Comparative analysis of red-edge hyperspectral indices , 2003 .

[34]  TANGYan-Lin,et al.  Relations Between Red Edge Characteristics and Agronomic Parameters of Crops , 2004 .

[35]  J. Dash,et al.  The MERIS terrestrial chlorophyll index , 2004 .

[36]  D. J. Connor,et al.  Canopy nitrogen distribution and the photosynthetic performance of sunflower crops during grain filling — a quantitative analysis , 1995, Oecologia.

[37]  A. Viña,et al.  Remote estimation of canopy chlorophyll content in crops , 2005 .

[38]  Canopy Reflectance Modeling , 2005 .

[39]  D. Walvoort,et al.  A linear model to predict with a multi‐spectral radiometer the amount of nitrogen in winter wheat , 2006 .

[40]  L. Vierling,et al.  View angle effects on relationships between MISR vegetation indices and leaf area index in a recently burned ponderosa pine forest , 2007 .

[41]  K. Soudani,et al.  Calibration and validation of hyperspectral indices for the estimation of broadleaved forest leaf chlorophyll content, leaf mass per area, leaf area index and leaf canopy biomass , 2008 .

[42]  Fei Li,et al.  Estimating N status of winter wheat using a handheld spectrometer in the North China Plain , 2008 .

[43]  M. Rautiainen,et al.  Multi-angular reflectance properties of a hemiboreal forest: An analysis using CHRIS PROBA data , 2008 .

[44]  M. Schaepman,et al.  Angular sensitivity analysis of vegetation indices derived from CHRIS/PROBA data , 2008 .

[45]  D. Roberts,et al.  View angle effects on the discrimination of soybean varieties and on the relationships between vegetation indices and yield using off-nadir Hyperion data , 2009 .

[46]  D. Lamb,et al.  Estimation of vertical distribution of chlorophyll concentration by bi-directional canopy reflectance spectra in winter wheat , 2011, Precision Agriculture.

[47]  Hiroshi Matsuyama,et al.  Improving the estimation of leaf area index by using remotely sensed NDVI with BRDF signatures , 2010 .

[48]  D. Haboudane,et al.  New spectral indicator assessing the efficiency of crop nitrogen treatment in corn and wheat , 2010 .

[49]  Olga Sykioti,et al.  Monitoring canopy biophysical and biochemical parameters in ecosystem scale using satellite hyperspectral imagery: An application on a Phlomis fruticosa Mediterranean ecosystem using multiangular CHRIS/PROBA observations , 2010 .

[50]  Luis Alonso,et al.  Estimating chlorophyll content of crops from hyperspectral data using a normalized area over reflectance curve (NAOC) , 2010, Int. J. Appl. Earth Obs. Geoinformation.

[51]  B. Mistele,et al.  Comparison of active and passive spectral sensors in discriminating biomass parameters and nitrogen status in wheat cultivars , 2011 .

[52]  Xin-shi Zhang,et al.  Estimation of green aboveground biomass of desert steppe in Inner Mongolia based on red-edge reflectance curve area method , 2011 .

[53]  Anatoly A. Gitelson,et al.  Application of chlorophyll-related vegetation indices for remote estimation of maize productivity , 2011 .

[54]  X. Yao,et al.  Assessing newly developed and published vegetation indices for estimating rice leaf nitrogen concentration with ground- and space-based hyperspectral reflectance , 2011 .

[55]  Huang Wenjiang,et al.  LAI inversion of spring wheat based on PROBA/CHRIS hyperspectral multi-angular data and PROSAIL model , 2011 .

[56]  Fei Li,et al.  Remotely estimating aerial N status of phenologically differing winter wheat cultivars grown in contrasting climatic and geographic zones in China and Germany , 2012 .

[57]  Weixing Cao,et al.  Estimating leaf nitrogen concentration with three-band vegetation indices in rice and wheat , 2012 .

[58]  Yoshio Inoue,et al.  Diagnostic mapping of canopy nitrogen content in rice based on hyperspectral measurements , 2012 .

[59]  Chunjiang Zhao,et al.  Non-uniform vertical nitrogen distribution within plant canopy and its estimation by remote sensing: A review , 2013 .

[60]  João Roberto dos Santos,et al.  View-illumination effects on hyperspectral vegetation indices in the Amazonian tropical forest , 2013, Int. J. Appl. Earth Obs. Geoinformation.

[61]  Li He,et al.  Measuring leaf nitrogen concentration in winter wheat using double-peak spectral reflection remote sensing data , 2014 .