CO emissions due to biomass burning can be represented as raster maps computed from satellite observations obtained from sensors of different types, on board of different platforms, exploiting algorithms which combine input data in different ways. Hence, different CO emission “products” are available and it is important to define comparison tools among datasets, considering that no ground truth is available for these data. Comparisons between couples of CO emission datasets have been performed by using statistical indices and scatterplots. The computations have been mainly implemented in a GIS environment (both ESRI ArcGIS 9.3 and GRASS 6.4.0), to exploit the spatial characterization of the data and take advantage from it.
CO emission datasets and maps from Remote Sensing: spatial and statistical comparison at different levels
MIGLIACCIO, FEDERICA;CARRION, DANIELA;ZAMBRANO, CYNTHIA;
2012-01-01
Abstract
CO emissions due to biomass burning can be represented as raster maps computed from satellite observations obtained from sensors of different types, on board of different platforms, exploiting algorithms which combine input data in different ways. Hence, different CO emission “products” are available and it is important to define comparison tools among datasets, considering that no ground truth is available for these data. Comparisons between couples of CO emission datasets have been performed by using statistical indices and scatterplots. The computations have been mainly implemented in a GIS environment (both ESRI ArcGIS 9.3 and GRASS 6.4.0), to exploit the spatial characterization of the data and take advantage from it.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
