P
Pietro Alessandro Brivio
Researcher at National Research Council
Publications - 140
Citations - 4238
Pietro Alessandro Brivio is an academic researcher from National Research Council. The author has contributed to research in topics: Thematic Mapper & Vegetation. The author has an hindex of 32, co-authored 139 publications receiving 3746 citations. Previous affiliations of Pietro Alessandro Brivio include University of Insubria & Chinese Academy of Sciences.
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Integration of remote sensing data and GIS for accurate mapping of flooded areas
TL;DR: In this paper, a synergetic use of satellite radar images and ancillary information to detect flooded areas at their peak and evaluate its potential with mapping is described, based on the catastrophic flood that occurred in Regione Piemonte in Italy in November 1994.
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Vegetation burning in the year 2000: Global burned area estimates from SPOT VEGETATION data
Kevin Tansey,Jean-Marie Grégoire,Daniela Stroppiana,Adélia Sousa,João M. N. Silva,José M. C. Pereira,Luigi Boschetti,Marta Maggi,Pietro Alessandro Brivio,Robert H. Fraser,S. P. Flasse,Dmitry Ershov,Elisabetta Binaghi,Dean Graetz,Pascal Peduzzi +14 more
TL;DR: In this article, an inventory of burned areas at monthly time periods for the year 2000 at a resolution of 1 km2 has been produced using satellite data and has been made freely available to the scientific community.
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Detecting chlorophyll, Secchi disk depth and surface temperature in a sub-alpine lake using Landsat imagery
TL;DR: Some bio-physical parameters, such as chlorophyll a concentration, Secchi disk depth and water surface temperature were mapped in the sub-alpine Lake Iseo (Italy) using Landsat Thematic Mapper data acquired on the 7 March 1997 in order to adequately investigate the water-leaving radiance.
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A fuzzy set-based accuracy assessment of soft classification
TL;DR: A new method is proposed that uses the fuzzy set theory to extend the applicability of the traditional error matrix method to the evaluation of soft classifiers, designed to cope with those situations in which classification and/or reference data are expressed in multimembership form.
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Multi-year monitoring of rice crop phenology through time series analysis of MODIS images
TL;DR: In this paper, a time series of 5 years (2001-2005) of the MODIS Normalized Difference Vegetation Index (NDVI) 16-day composites was analyzed with the TIMESAT program in order to automatically retrieve key phenological information such as the start of season (emergence), peak (heading) and end of season(maturity).