Italy - Apulian Tavoliere

Project Reports

2017 Site Progress Report

2016 Site Progress Report

2015 Site Progress Report

2014 Site Progress Report

  1. http://www.esa.int/Our_Activities/Observing_the_Earth/Copernicus/Sentinel-2_overview
     
  2. http://esamultimedia.esa.int/multimedia/publications/SP-1322_2/offline/download.pdf
     
  3. Barnes, E.M., Clarke, T.R., Richards, S.E., Colaizzi, P.D., Haberland, J., Kostrzewski, M., Waller, P., Choi, C., Riley, E., Thompson, T., Lascano, R.J., Li, H., Moran, M.S., 2000. Coincident detection of crop water stress, nitrogen status and canopy density using ground based multispectral data. In: Robert, P.C., Rust, R.H., Larson, W.E. (Eds.), Proc. 5th Int. Conf. Precis Agric. Bloomington, MN, USA.
     
  4. Castrignanò, A., Costantini, E., Barbetti, R., Sollitto, D., 2009. Accounting for extensive topographic and pedologic secondary information to improve soil mapping. Catena 77: 28-38.
     
  5. Castrignanò, A., Wong, M.T., Stelluti, M., De Benedetto, D., Sollitto, D., 2012. Use of EMI, gamma-ray emission and GPS height as multi-sensor data for soil characterisation. Geoderma 175:78–89.
     
  6. Chilès, J.P., Delfiner, P. Geostatistics: Modelling Spatial Uncertainty. Wiley, New York. 695 pp.; 1999.
     
  7. Géovariances. Isatis Technical Ref., ver. 2016. Geovariances & Ecole Des Mines De Paris. Avon Cedex, France; 2009.
     
  8. Goovaerts, P., 1997. Geostatistics for natural resources evaluation. Oxford University Press on Demand.
     
  9. Heng, L.K., Hsiao, T.C., Evett, S.R., Howell, T.A., Steduto, P., 2009. Testing of FAO AquaCrop model for rainfed and irrigated maize. Agron. J., 101, 3, 488–498.
     
  10. Jamieson, P. D., Porter, J. R., Wilson, D. R., 1991. A test of the computer simulation model ARCWHEAT on wheat crops grown in New Zealand. Fields Crop Research, 27, 337-345
     
  11. Matheron, G., 1963.Principle of geostatistics. Economic Geology, 58(8): 1246–1266.
     
  12. Moriasi, D. N., Arnold, J. G., Liew, M. W. V., Bingner, R. L., Harmel, R. D., and Veith, T. L., 2007. Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Transactions of The ASABE 50, 885–900.
     
  13. Myers, D. E., 1984. Cokriging: New Developments. Verly G. (1984, ed.), Geostatistics for Natural Resource Characterization, D. Reidel Pub. Co., Dordrecht, 295-305.
     
  14. Olea, R. A., 1991. Geostatistical Glossary and Multilingual Dictionary. International Association for Mathematical Geology Studies in Mathematical Geology. Oxford University Press, New York. No. 3, 177p.
     
  15. Richter, R., Schlapfer, D., Muller, A., 2011. Operational atmospheric correction for imaging spectrometers accounting for the smile effect. IEEE Transactions on Geoscience and Remote Sensing, 49 (2011), pp. 1772–1780.
     
  16. Rivoirard, J., 2001. Which models for collocated cokriging? Math. Geol., 33: 117-131.
     
  17. S. M. Shaddad, S. Madrau, A. Castrignanò, A. M. Mouazen, 2015. Data fusion techniques for delineation of site-specific management zones in a field in UK. Precision Agric. DOI 10.1007/s11119-015-9417-6
     
  18. Castrignanò A.,  Landrum C., De Benedetto D. (2015). Delineation of Management Zones in Precision Agriculture by Integration of Proximal Sensing with Multivariate Geostatistics. Examples of Sensor Data Fusion.  Agriculturae Conspectus Scientificus  Vol. 80, No. 1.
     
  19. G. Buttafuoco, A. Castrignanò, G. Gucci, M. Rinaldi and S. Ruggieri, 2015. An approach to delineate Management Zones in a durum wheat field: validation using Remote sensing and yield mapping. Precision Agriculture '15, edited by J.V. Stafford, published by Wageningen Academic Publishers, Wageningen (NLD), pages 241-247.
     
  20. Balenzano A., Satalino G., Iacobellis V., Gioia A., Manfreda S., Rinaldi M., De Vita P., Miglietta F.,Toscano P., Annicchiarico G., Mattia F., 2014. A ground network for SAR-derived soil moisture product calibration, validation and exploitation in Southern Italy. Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International, 13-18 July, Quebec, Canada, 3382-3385. DOI 10.1109/IGARSS.2014.6947206.
     
  21. Buttafuoco G., Castrignanò A., Matese A. Toscano P., 2014. Using geostatistical data fusion techniques and MODIS data to upscale simulated wheat yield, Abstract B33C-0182 presented at 2014 Fall Meeting, AGU, San Francisco, Calif., 15-19 Dec.
     
  22. Camacho F., Lacaze R., Latorre C., Baret F., De la Cruz F., Demarez V., Di Bella C., Fang H., García-Haro J., Gonzalez M. P., Kussul N., López-Baeza E., Mattar C., Nestola E., Pattey E., Piccard I., Rudiger C., Savin I., Sanchez - Azofeifa A., Boschetti M., Bossio D., Weiss M., Castrignanò A., Zribi M., 2014. A Network of Sites for Ground Biophysical Measurements in support of Copernicus Global Land Product Validation. Proceeding of 4th International Symposium on RAQRS, 22-26 September 2014.
     
  23. Castaldi F., Casa R., Castrignanò A., Pascucci S., Palombo A. & Pignatti S., 2014. Estimation of soil properties at the field scale from satellite data: a comparison between spatial and non-spatial techniques. European Journal of Soil Science, 65, 842–851.
  24. Rinaldi M., He Z., 2014. Decision Support Systems to Manage Irrigation in Agriculture. In Donald Sparks, Donald Sparks, editors, UK: Academic Press: Advances in Agronomy, 123:229-280.
     
  25. Toscano, P., Ranieri, R., Matese, A., Vaccari, F.P., Gioli, B., Zaldei, A., Silvestri, M., Ronchi, C., La Cava, P., Porter, J.R., Miglietta, F. (2012). Durum wheat modeling: The Delphi system, 11 years of observations in Italy, European Journal of Agronomy: 108-118.
     
  26. Castrignanò, A., De Benedetto, D., Girone, G., Guastaferro, F., Sollitto, D. (2010). Characterization, Delineation and Visualization of Agro-Ecozones Using Multivariate Geographical Clustering. Italian Journal of Agronomy 5: 121-132.
©2015 Joint Experiment for Crop Assessment and Monitoring
© HER MAJESTY THE QUEEN IN RIGHT OF CANADA SA MAJESTE LA REINE DU CHEF DU CANADA (2015)