Neural-network model for estimating leaf chlorophyll concentration in rice under stress from heavy metals using four spectral indices

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

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

[3]  Z. Krupa.  Cadmium‐induced changes in the composition and structure of the light‐harvesting chlorophyll a/b protein complex II in radish cotyledons , 1988 .

[4]  A. Pahlsson,et al.  Toxicity of heavy metals (Zn, Cu, Cd, Pb) to vascular plants , 1989 .

[5]  M. Droppa,et al.  The Role of Copper in Photosynthesis , 1990 .

[6]  C. Poschenrieder,et al.  Plant water relations as affected by heavy metal stress: A review , 1990 .

[7]  C. W. Wood,et al.  Relationships between chlorophyll meter readings and leaf chlorophyll concentration, N status, and crop yield: A review 1 , 1993 .

[8]  A. Siedlecka,et al.  Inhibition of electron flow around photosystem I in chloroplasts of Cd-treated maize plants is due to Cd-induced iron deficiency , 1993 .

[9]  Andrzej Cichocki,et al.  Neural networks for optimization and signal processing , 1993 .

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

[11]  Giles M. Foody,et al.  Using prior knowledge in artificial neural network classification with a minimal training set , 1995 .

[12]  Christopher M. Bishop,et al.  Neural networks for pattern recognition , 1995 .

[13]  G. Rondeaux,et al.  Optimization of soil-adjusted vegetation indices , 1996 .

[14]  Y. Pachepsky,et al.  Artificial Neural Networks to Estimate Soil Water Retention from Easily Measurable Data , 1996 .

[15]  R. Ellis,et al.  Variation and Range of Mercury Uptake into Plants at a Mercury-Contaminated Abandoned Mine Site , 1997, Bulletin of environmental contamination and toxicology.

[16]  Slobodan P. Simonovic,et al.  Short term streamflow forecasting using artificial neural networks , 1998 .

[17]  R. Kastori,et al.  Effect of excess lead on sunflower growth and photosynthesis , 1998 .

[18]  Håkan Asp,et al.  Influence of UV-B radiation and Cd2+ on chlorophyll fluorescence, growth and nutrient content in Brassica napus , 1998 .

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

[20]  Holger R. Maier,et al.  Neural networks for the prediction and forecasting of water resource variables: a review of modelling issues and applications , 2000, Environ. Model. Softw..

[21]  Kao,et al.  Accumulation of ammonium in rice leaves in response to excess cadmium. , 2000, Plant science : an international journal of experimental plant biology.

[22]  Tony Plate,et al.  Visualizing the Function Computed by a Feedforward Neural Network , 2000, Neural Computation.

[23]  Alessandro Sperduti,et al.  Discriminant Pattern Recognition Using Transformation-Invariant Neurons , 2000, Neural Computation.

[24]  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..

[25]  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 .

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

[27]  Siza D. Tumbo,et al.  HYPERSPECTRAL–BASED NEURAL NETWORK FOR PREDICTING CHLOROPHYLL STATUS IN CORN , 2002 .

[28]  Nikhil R. Pal,et al.  SOFM-MLP: a hybrid neural network for atmospheric temperature prediction , 2003, IEEE Trans. Geosci. Remote. Sens..

[29]  Tong Wang,et al.  A Genetic Algorithm Based Tool for Analysis and Modeling of Multi-Spectral Data , 2003 .

[30]  J. Vangronsveld,et al.  Cadmium toxicity effects on growth, mineral and chlorophyll contents, and activities of stress related enzymes in young maize plants (Zea mays L.) , 1998, Plant and Soil.

[31]  Gan Fu-Ping,et al.  Identification of Mining Pollution Using Hyperion Data at Dexing Copper Mine in Jiangxi Province, China , 2004 .

[32]  L. Buydens,et al.  Exploring field vegetation reflectance as an indicator of soil contamination in river floodplains. , 2004, Environmental pollution.

[33]  C. Kao,et al.  Cadmium toxicity of rice leaves is mediated through lipid peroxidation , 2001, Plant Growth Regulation.

[34]  Xin-Hui Liu,et al.  [Studies of relationships between Cu pollution and spectral characteristics of TritiZnm aestivum L]. , 2006, Guang pu xue yu guang pu fen xi = Guang pu.

[35]  David W. Franzen,et al.  Neural Network Optimisation of Remotely Sensed Maize Leaf Nitrogen with a Genetic Algorithm and Linear Programming using Five Performance Parameters , 2006 .

[36]  H. Noh,et al.  A Neural Network Model of Maize Crop Nitrogen Stress Assessment for a Multi-spectral Imaging Sensor , 2006 .

[37]  Zhou Guang-zhu.  Biogeochemistry Responses and Spectral Characteristics of Rhus Chinensis Mill under Heavy Metal Contamination Stress , 2008 .

[38]  Freek D. van der Meer,et al.  Mapping of heavy metal pollution in stream sediments using combined geochemistry, field spectroscopy, and hyperspectral remote sensing: A case study of the Rodalquilar mining area, SE Spain , 2008 .

[39]  J. Fernandes,et al.  Biochemical, physiological, and structural effects of excess copper in plants , 1991, The Botanical Review.

[40]  Jason Grabosky,et al.  Soil metal concentrations and productivity of Betula populifolia (gray birch) as measured by field spectrometry and incremental annual growth in an abandoned urban Brownfield in New Jersey. , 2008, Environmental pollution.

[41]  Chaoyang Wu,et al.  Estimating chlorophyll content from hyperspectral vegetation indices : Modeling and validation , 2008 .

[42]  Qiu Dongsheng.  Canopy Hyperspectral Characteristics of Paddy Plants Contaminated by Lead , 2008 .

[43]  Two Kinds of Modified Spectral Indices for Retrieval of Crop Canopy Chlorophyll Content , 2009 .

[44]  Yizong Huang,et al.  Combined toxicity of copper and cadmium to six rice genotypes (Oryza sativa L.). , 2009, Journal of environmental sciences.

[45]  THE APPLICATION OF HYPERION DATA TO EXTRACTING CONTAMINATION INFORMATION OF VEGETATION IN THE DEXING COPPER MINE, JIANGXI PROVINCE, CHINA , 2011 .