Effects of Chlorophyll Concentration on Green LAI prediction in Crop Canopies: Modelling and Assessment

In Proceedings of the First International Sysmposium on Recent Advances in Quantitative Remote Sensing, Valencia, Spain, 16-20 September, 2002

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

[2]  T. M. Lillesand,et al.  Estimating the leaf area index of North Central Wisconsin forests using the landsat thematic mapper , 1997 .

[3]  A. Huete,et al.  A Modified Soil Adjusted Vegetation Index , 1994 .

[4]  Elizabeth Pattey,et al.  Detecting effects of nitrogen rate and weather on corn growth using micrometeorological and hyperspectral reflectance measurements , 2001 .

[5]  N. Broge,et al.  Comparing prediction power and stability of broadband and hyperspectral vegetation indices for estimation of green leaf area index and canopy chlorophyll density , 2001 .

[6]  Baoxin Hu,et al.  Retrieval of the canopy leaf area index in the BOREAS flux tower sites using linear spectral mixture analysis , 2004 .

[7]  W. Verhoef.  Light scattering by leaf layers with application to canopy reflectance modeling: The Scattering by Arbitrarily Inclined Leaves (SAIL) model , 1984 .

[8]  S. Leblanc,et al.  A Shortwave Infrared Modification to the Simple Ratio for LAI Retrieval in Boreal Forests: An Image and Model Analysis , 2000 .

[9]  John R. Miller,et al.  Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture , 2004 .

[10]  Derek R. Peddle,et al.  Spectral Mixture Analysis of Airborne Remote Sensing Imagery for Improved Prediction of Leaf Area Index in Mountainous Terrain, Kananaskis Alberta , 2000 .

[11]  F. Baret,et al.  Potentials and limits of vegetation indices for LAI and APAR assessment , 1991 .

[12]  Paul J. Curran,et al.  The relationship between red edge and chlorophyll concentration in the Broadbalk winter wheat experiment at Rothamsted , 1994 .

[13]  Heather McNairn,et al.  Application of Hyperspectral Remote Sensing for LAI Estimation in Precision Farming , 2001 .

[14]  J. A. Schell,et al.  Monitoring the Vernal Advancement and Retrogradation (Green Wave Effect) of Natural Vegetation. [Great Plains Corridor] , 1973 .

[15]  C. Bacour,et al.  Comparison of four radiative transfer models to simulate plant canopies reflectance: direct and inverse mode. , 2000 .

[16]  A. Huete.  A soil-adjusted vegetation index (SAVI) , 1988 .

[17]  C. Daughtry,et al.  Spectral estimates of absorbed radiation and phytomass production in corn and soybean canopies , 1992 .

[18]  J. Chen,et al.  Retrieving Leaf Area Index of Boreal Conifer Forests Using Landsat TM Images , 1996 .

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

[20]  John R. Miller,et al.  Atmospheric Correction Validation of casi Images Acquired over the Boreas Southern Study Area , 1997 .

[21]  N. Broge,et al.  Deriving green crop area index and canopy chlorophyll density of winter wheat from spectral reflectance data , 2002 .