Regional estimation of savanna grass nitrogen using the red-edge band of the spaceborne RapidEye sensor
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Andrew K. Skidmore | Moses Azong Cho | Martin Schlerf | Renaud Mathieu | Abel Ramoelo | Ignas M. A. Heitkönig | M. Cho | A. Ramoelo | A. Skidmore | M. Schlerf | R. Mathieu | I. Heitkönig
[1] Alan A. Ager,et al. Broadband, red-edge information from satellites improves early stress detection in a New Mexico conifer woodland , 2011 .
[2] A. Ramoelo,et al. Water-removed spectra increase the retrieval accuracy when estimating savanna grass nitrogen and phosphorus concentrations , 2011 .
[3] Andrew K. Skidmore,et al. Dry season mapping of savanna forage quality, using the hyperspectral Carnegie Airborne Observatory sensor , 2011 .
[4] M. Cho,et al. Integrating environmental and in situ hyperspectral remote sensing variables for grass nitrogen estimation in Savannah ecosystems , 2011 .
[5] Janet Franklin,et al. Geospatial tools address emerging issues in spatial ecology: a review and commentary on the Special Issue , 2011, Int. J. Geogr. Inf. Sci..
[6] Yuhong He,et al. Scaling up Semi-Arid Grassland Biochemical Content from the Leaf to the Canopy Level: Challenges and Opportunities , 2010, Sensors.
[7] Sanford Weisberg,et al. An R Companion to Applied Regression , 2010 .
[8] Clement Atzberger,et al. Retrieval of chlorophyll and nitrogen in Norway spruce (Picea abies L. Karst.) using imaging spectroscopy , 2010, Int. J. Appl. Earth Obs. Geoinformation.
[9] Onisimo Mutanga,et al. Forage quality of savannas - Simultaneously mapping foliar protein and polyphenols for trees and grass using hyperspectral imagery , 2010 .
[10] Vuolo Francesco,et al. Retrieval of biophysical vegetation products from RapidEye imagery , 2010 .
[11] Moses Azong Cho,et al. Integrating remote sensing and ancillary data for regional ecosystem assessment: Eucalyptus grandis agro-system in KwaZulu-Natal, South Africa , 2009, 2009 IEEE International Geoscience and Remote Sensing Symposium.
[12] Contents , 2018, Brain and Development.
[13] Chaoyang Wu,et al. Estimating chlorophyll content from hyperspectral vegetation indices : Modeling and validation , 2008 .
[14] Clement Atzberger,et al. LAI and chlorophyll estimation for a heterogeneous grassland using hyperspectral measurements , 2008 .
[15] D. Adams,et al. Amphibians Do Not Follow Bergmann's Rule , 2008, Evolution; international journal of organic evolution.
[16] Milan Chytrý,et al. The Vegetation of South Africa, Lesotho and Swaziland , 2008 .
[17] Andrew Jarvis,et al. Hole-filled SRTM for the globe Version 4 , 2008 .
[18] J. Dijkshoorn,et al. Soil and landform properties for LADA partner countries (Argentina, China, Cuba, Senegal, South Africa and Tunisia) , 2008 .
[19] F. Langevelde,et al. Assembling a diet from different places , 2008 .
[20] Andrew K. Skidmore,et al. Estimation of green grass/herb biomass from airborne hyperspectral imagery using spectral indices and partial least squares regression , 2007, Int. J. Appl. Earth Obs. Geoinformation.
[21] Sushma Panigrahy,et al. Use of hyperspectral data to assess the effects of different nitrogen applications on a potato crop , 2007, Precision Agriculture.
[22] J. Eitel,et al. Using in‐situ measurements to evaluate the new RapidEye™ satellite series for prediction of wheat nitrogen status , 2007 .
[23] A. Skidmore,et al. Red edge shift and biochemical content in grass canopies , 2007 .
[24] D. Adams,et al. Bioclimatic modelling, morphology, and behaviour reveal alternative mechanisms regulating the distributions of two parapatric salamander species , 2007 .
[25] L Mucina,et al. Vegetation of southern Africa - biomass production patterns and biofuel potential , 2007 .
[26] Andrew K. Skidmore,et al. Parent material and fire as principle drivers of foliage quality in woody plants , 2006 .
[27] C. C. Grant,et al. The importance of nutrient hot-spots in the conservation and management of large wild mammalian herbivores in semi-arid savannas , 2006 .
[28] M. Cho,et al. A new technique for extracting the red edge position from hyperspectral data: The linear extrapolation method , 2006 .
[29] H. Prins,et al. Effects of sward structure on herbivore foraging behaviour in a South African savanna: An investigation of the forage maturation hypothesis , 2006 .
[30] J. Vos,et al. Hand-held chlorophyll meter: a promising tool to assess the nitrogen status of potato foliage , 1993, Potato Research.
[31] J. L. Parra,et al. Very high resolution interpolated climate surfaces for global land areas , 2005 .
[32] Handan Çamdevýren,et al. Use of principal component scores in multiple linear regression models for prediction of Chlorophyll-a in reservoirs , 2005 .
[33] Liangyun Liu,et al. Prediction of grain protein content in winter wheat (Triticum aestivum L.) using plant pigment ratio (PPR) , 2004 .
[34] J. Dash,et al. The MERIS terrestrial chlorophyll index , 2004 .
[35] B. Turner,et al. Estimating foliage nitrogen concentration from HYMAP data using continuum, removal analysis , 2004 .
[36] A. Skidmore,et al. Narrow band vegetation indices overcome the saturation problem in biomass estimation , 2004 .
[37] Onisimo Mutanga,et al. Explaining grass‐nutrient patterns in a savanna rangeland of southern Africa , 2004 .
[38] Pablo J. Zarco-Tejada,et al. Hyperspectral indices and model simulation for chlorophyll estimation in open-canopy tree crops , 2004 .
[39] 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 .
[40] M. Coe,et al. The relationships between soil factors, grass nutrients and the foraging behaviour of wildebeest and zebra , 1992, Oecologia.
[41] 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 .
[42] G. Metternicht. Vegetation indices derived from high-resolution airborne videography for precision crop management , 2003 .
[43] J. Dijkshoorn. SOTER database for Southern Africa (SOTERSAF) : technical report , 2003 .
[44] John R. Miller,et al. Integrated narrow-band vegetation indices for prediction of crop chlorophyll content for application to precision agriculture , 2002 .
[45] Han Olff,et al. Global environmental controls of diversity in large herbivores , 2002, Nature.
[46] A. K. Skidmore,et al. Derivation of the red edge index using the MERIS standard band setting , 2002 .
[47] P. Gong,et al. Analysis of in situ hyperspectral data for nutrient estimation of giant sequoia , 2002 .
[48] J. Fox. Bootstrapping Regression Models , 2002 .
[49] 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 .
[50] Lalit Kumar,et al. Imaging spectroscopy and vegetation science , 2001 .
[51] Paul D. Ayers,et al. Evaluation and Refinement of the Nitrogen Reflectance Index (NRI) for Site-Specific Fertilizer Management , 2001 .
[52] Luigi Guarino,et al. Computer tools for spatial analysis of plant genetic resources data: 1. DIVA-GIS , 2001 .
[53] Moon S. Kim,et al. Estimating Corn Leaf Chlorophyll Concentration from Leaf and Canopy Reflectance , 2000 .
[54] P. Thenkabail,et al. Hyperspectral Vegetation Indices and Their Relationships with Agricultural Crop Characteristics , 2000 .
[55] Manfred Ehrhardt,et al. Methods of seawater analysis , 1999 .
[56] N. Owen‐Smith,et al. Seasonal selection of soil types and grass swards by roan antelope in a South African savanna , 1998 .
[57] Gregory P. Asner,et al. Variability in Leaf and Litter Optical Properties: Implications for BRDF Model Inversions Using AVHRR, MODIS, and MISR , 1998 .
[58] R. Tibshirani,et al. Improvements on Cross-Validation: The 632+ Bootstrap Method , 1997 .
[59] A. Huete,et al. A comparison of vegetation indices over a global set of TM images for EOS-MODIS , 1997 .
[60] A. Gitelson,et al. Use of a green channel in remote sensing of global vegetation from EOS- MODIS , 1996 .
[61] D. Massart,et al. The Radial Basis Functions — Partial Least Squares approach as a flexible non-linear regression technique , 1996 .
[62] G. Rondeaux,et al. Optimization of soil-adjusted vegetation indices , 1996 .
[63] R. G. Smith,et al. Forecasting wheat yield in a Mediterranean-type environment from the NOAA satellite , 1995 .
[64] C. Elvidge,et al. Comparison of broad-band and narrow-band red and near-infrared vegetation indices , 1995 .
[65] I. Filella,et al. Reflectance assessment of mite effects on apple trees , 1995 .
[66] B. Yoder,et al. Predicting nitrogen and chlorophyll content and concentrations from reflectance spectra (400–2500 nm) at leaf and canopy scales , 1995 .
[67] J. Roujean,et al. Estimating PAR absorbed by vegetation from bidirectional reflectance measurements , 1995 .
[68] A. Huete,et al. A Modified Soil Adjusted Vegetation Index , 1994 .
[69] J. W. Bradbury,et al. The fine-scale mapping of grassland protein densities , 1994 .
[70] C. Wessman. Imaging spectrometry for remote sensing of ecosystem processes , 1992 .
[71] F. Baret,et al. Potentials and limits of vegetation indices for LAI and APAR assessment , 1991 .
[72] S. McNaughton,et al. Mineral nutrition and seasonal movements of African migratory ungulates , 1990, Nature.
[73] Herbert H. T. Prins,et al. A balanced diet as a goal for grazing: the food of the Manyara buffalo , 1989 .
[74] Hongzhi An,et al. Fast stepwise procedures of selection of variables by using AIC and BIC criteria , 1989 .
[75] S.E. Plummer. Relationships Between The Nitrogen Content Of Grass And Reflectance , 1988, International Geoscience and Remote Sensing Symposium, 'Remote Sensing: Moving Toward the 21st Century'..
[76] A. Huete. A soil-adjusted vegetation index (SAVI) , 1988 .
[77] S. Plummer,et al. Exploring the relationships between leaf nitrogen content, biomass and the near-infrared/red reflectance ratio , 1988 .
[78] Bernd Droge,et al. Bootstrap and Cross-Validation Estimates of the Prediction Error for Linear Regression Models , 1984 .
[79] D. Horler,et al. The red edge of plant leaf reflectance , 1983 .
[80] C. Tucker. Asymptotic nature of grass canopy spectral reflectance. , 1977, Applied optics.
[81] E. Lehmann,et al. Nonparametrics: Statistical Methods Based on Ranks , 1976 .
[82] C. Jordan. Derivation of leaf-area index from quality of light on the forest floor , 1969 .
[83] D. M. Gates,et al. Spectral Properties of Plants , 1965 .