The evolution of the methodologies to use the hyper-spectral images allows a different approach in the data analysis, which previously was difficultly practicable.
Analyzing the general availability of metadata concerning the spectral characterization of physiographic units, still today a remarkable deficiency of acquaintances emerges, which regards the data themselves and the validation systems of the radiometric parameters. The methodologies for data archiving and in particular for the comparison between signatures obtained from different platforms, are still in phase of experimentation, for the difficulties of comparisons between the interpretations, due to the different conditions of the answers in the physic-environmental parameters of the objects to investigate.
This collection of spectral signatures can concur at the integration of the measures detected on the field with satellite data, allowing to set up methodical procedures relative to the hyper-spectral images now available; it will be also possible to develop a collection of signatures, on the earth and over the sea, for all the successive controls.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
Bibliography
Cheng Y., Gamon J.A., Fuentes D.A., Mao Z., Sims D.A., Qiu H.-l., Claudio H., Huete A.,and Rahman A.F. 2006. A multi-scale analysis of dynamic optical signals in a Southern California chaparral ecosystem: a comparison of field, AVIRIS and MODIS data. Remote Sensing of Environment 103: 369–378
Colandrea P. 2004. Towards new Models of EO Data Exploitation by non expert users.SSE 2004 Workshop, ESRIN, Frascati (http://earth.esa.int/rtd/ Events/SSE_2004/)
Colandrea P., Amato U., Canfora M.F., Franzese M., Manoni G., Pignatti S., Salvati A.,and Serio C. 2004. WAGRIT: Web per i controlli AGRIcoli e del Territorio, Proceedings della 8° Conferenza ASITA, Roma 14–17 dicembre 2004
Dedecker, Ralph G., Whittaker, Tom, Garcia, Ray, K., and Knuteson, Robert O. 2004.A system design for storing, archiving, and retrieving hyperspectral data, 20th Conference on IIPS, 84th AMS Annual Meeting, 11–15 January 2004, Seattle, WA. Published by the American Meteorological Society, Boston, MA
Justice C.O., Vermote E., Townshend J.R.G., Defries R., Roy D.P., Hall D.K.,Salomonson V.V., Privette J.L., Riggs G., Strahler A., Lucht W., Myneni R.B., Knyazikhin Y.,Running S.W., Nemani R.R., Zhengming Wan Huete A.R., van Leeuwen W., Wolfe R.E.,Giglio L., Muller J., Lewis P., and Barnsley M.J., The Moderate Resolution Imaging Spectro-radiometer (MODIS): landremote sensing for global change research. Geoscience and Remote Sensing, IEEE Transactions 36(4): 1228–1249
Marini A., Colandrea P., Melis M.T., Muntoni F., and Sifredi D. 2004. Firme spettrali di unità territoriali e gestione di immagini MODIS sul Bacino del Mediterraneo, in Environment Identité Mediterranée — Corte. Julliet 19–25
Payan W., and Royer A. 2004. Spectral emissivity of northern land cover types derived with MODIS and ASTER sensors in MWIR and LWIR. Canadian Journal of Remote Sensing 30(2): 150–156
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer Science + Business Media B.V
About this paper
Cite this paper
Marini, A., Colandrea, P. (2009). Data Bank Of Territorial Spectral Signatures For Sardinia And North Africa. In: Marini, A., Talbi, M. (eds) Desertification and Risk Analysis Using High and Medium Resolution Satellite Data. NATO Science for Peace and Security Series C: Environmental Security. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-8937-4_12
Download citation
DOI: https://doi.org/10.1007/978-1-4020-8937-4_12
Publisher Name: Springer, Dordrecht
Print ISBN: 978-1-4020-8936-7
Online ISBN: 978-1-4020-8937-4
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)