Durum wheat in-field monitoring and early-yield prediction: assessment of potential use of high resolution satellite imagery in a hilly area of Tuscany, Central Italy
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S. Orlandini | M. Mancini | F. Orlando | D. Grifoni | A. DALLA MARTA | D. GRIFONI | M. MANCINI | F. ORLANDO | F. GUASCONI | S. ORLANDINI | A. dalla Marta | F. Guasconi
[1] A. Gitelson,et al. Remote estimation of chlorophyll content in higher plant leaves , 1997 .
[2] G. Fitzgerald,et al. Measuring and predicting canopy nitrogen nutrition in wheat using a spectral index—The canopy chlorophyll content index (CCCI) , 2010 .
[3] Deli Chen,et al. Remote estimation of chlorophyll on two wheat cultivars in two rainfed environments , 2011 .
[4] S. Altenbach. New insights into the effects of high temperature, drought and post-anthesis fertilizer on wheat grain development , 2012 .
[5] Hervé Nicolas,et al. Using remote sensing to determine of the date of a fungicide application on winter wheat , 2004 .
[6] J. Peñuelas,et al. Normalized difference spectral indices for estimating photosynthetic efficiency and capacity at a canopy scale derived from hyperspectral and CO2 flux measurements in rice , 2008 .
[7] Armando Apan,et al. Identifying the spatial variability of soil constraints using multi-year remote sensing , 2011 .
[8] N. H. Brogea,et al. Comparing prediction power and stability of broadband and hyperspectral vegetation indices for estimation of green leaf area index and canopy chlorophyll density , 2022 .
[9] José Luis Araus,et al. Relationship between Growth Traits and Spectral Vegetation Indices in Durum Wheat , 2002 .
[10] S. Orlandini,et al. The influence of climate on durum wheat quality in Tuscany, Central Italy , 2011, International journal of biometeorology.
[11] J. Zadoks. A decimal code for the growth stages of cereals , 1974 .
[12] J. Peñuelas,et al. The red edge position and shape as indicators of plant chlorophyll content, biomass and hydric status. , 1994 .
[13] N. Zhang,et al. Precision agriculture—a worldwide overview , 2002 .
[14] L. Schrader,et al. Exploitation of physiological and genetic variability to enhance crop productivity , 1985 .
[15] Felix Rembold,et al. Analysis of GAC NDVI Data for Cropland Identification and Yield Forecasting in Mediterranean African Countries , 2001 .
[16] Rick L. Lawrence,et al. Wheat yield estimates using multi-temporal NDVI satellite imagery , 2002 .
[18] Wenjiang Huang,et al. Predicting winter wheat condition, grain yield and protein content using multi‐temporal EnviSat‐ASAR and Landsat TM satellite images , 2006 .
[19] Shusen Wang,et al. Crop yield forecasting on the Canadian Prairies using MODIS NDVI data , 2011 .
[20] A. Skjelvåg,et al. Effect of temperature variation during grain filling on wheat gluten resistance , 2011 .
[21] D. Sims,et al. Estimation of vegetation water content and photosynthetic tissue area from spectral reflectance: a comparison of indices based on liquid water and chlorophyll absorption features , 2003 .
[22] David B. Lobell,et al. Remote sensing of regional crop production in the Yaqui Valley, Mexico: estimates and uncertainties , 2003 .
[23] S. Tarantola,et al. Detecting vegetation leaf water content using reflectance in the optical domain , 2001 .
[24] E. Hunt,et al. Early season remote sensing of wheat nitrogen status using a green scanning laser , 2011 .
[25] Nitrogen remobilization and post-anthesis nitrogen uptake in relation to elevated grain protein concentration in durum wheat , 2011 .
[26] Georg Bareth,et al. Evaluating hyperspectral vegetation indices for estimating nitrogen concentration of winter wheat at different growth stages , 2010, Precision Agriculture.
[27] J. Clarke,et al. Nitrogen remobilization and post-anthesis nitrogen uptake in relation to elevated grain protein concentration in durum wheat , 2011, Canadian Journal of Plant Science.
[28] Victor O. Sadras,et al. Temporal prediction of nitrogen status in wheat under the influence of water deficiency using spectral and thermal information. , 2005 .
[29] D. Cammarano,et al. Analysis of rainfall distribution on spatial and temporal patterns of wheat yield in Mediterranean environment , 2012 .
[30] Daniel Rodriguez,et al. Detection of nitrogen deficiency in wheat from spectral reflectance indices and basic crop eco-physiological concepts , 2006 .
[31] A. Castrignanò,et al. Spatial and temporal variability of wheat grain yield and quality in a Mediterranean environment: A multivariate geostatistical approach , 2012 .
[32] J. A. Schell,et al. Monitoring vegetation systems in the great plains with ERTS , 1973 .
[33] J. V. Stafford,et al. Providing operational nitrogen recommendations to farmers using satellite imagery. , 2005 .
[34] G. Rondeaux,et al. Optimization of soil-adjusted vegetation indices , 1996 .
[35] Ammatzia Peled,et al. Geographical model for precise agriculture monitoring with real-time remote sensing , 2009 .
[36] A. Huete. A soil-adjusted vegetation index (SAVI) , 1988 .
[37] Simon D. Jones,et al. Remote sensing of nitrogen and water stress in wheat , 2007 .
[38] A. Thomsen,et al. Predicting grain yield and protein content in winter wheat and spring barley using repeated canopy reflectance measurements and partial least squares regression , 2002, The Journal of Agricultural Science.
[39] J. V. Stafford,et al. Precision Agriculture '05 , 2005 .
[40] Troy Jensen,et al. Relating satellite imagery with grain protein content , 2003 .
[41] Christopher Baraloto,et al. Assessing foliar chlorophyll contents with the SPAD-502 chlorophyll meter: a calibration test with thirteen tree species of tropical rainforest in French Guiana , 2010, Annals of Forest Science.
[42] J. Araus,et al. Spectral vegetation indices as nondestructive tools for determining durum wheat yield. , 2000 .
[43] Vuolo Francesco,et al. Retrieval of biophysical vegetation products from RapidEye imagery , 2010 .
[44] Sylvain Villette,et al. Combining spatial and spectral information to improve crop/weed discrimination algorithms , 2012, Other Conferences.
[45] Francesco Montemurro,et al. Precision nitrogen management of wheat. A review , 2012, Agronomy for Sustainable Development.
[46] D. Roberts,et al. Sensitivity of Narrow-Band and Broad-Band Indices for Assessing Nitrogen Availability and Water Stress in an Annual Crop , 2008 .
[47] L. Alonso,et al. A red-edge spectral index for remote sensing estimation of green LAI over agroecosystems , 2013 .