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After reviewing some classical statistical hypothesis commonly used in image processing and analysis, this paper presents some statistical properties of synthetic aperture radar (SAR) data. The main focus is on how these specific hypothesis deviate from the classical ones, and on the impact these deviations have on processing and analysis techniques. The(More)
MODerate resolution Imaging Spectroradiometer (MODIS) data are largely used in multitemporal analysis of various Earth-related phenomena, such as vegetation phenology, land use/land cover change, deforestation monitoring, and time series analysis. In general, the MODIS products used to undertake multitemporal analysis are composite mosaics of the best(More)
Time series of satellite data can be employed for mapping the development of vegetation in space and time. However, noise induced by cloud contamination and atmospheric variability affects data quality. Science Datasets is an integral part of the MODIS Land production chain that focuses on evaluating and documenting the scientific quality of products. This(More)
Sensible and latent heat fluxes were estimated over a large tropical hydroelectric reservoir under cold front conditions. In situ and satellite data were used to adjust the bulk coefficients for momentum and heat exchanges between water and atmosphere and spatialize the sensible and latent heat fluxes over the reservoir. The results showed that during a(More)
This paper presents TerraHydro, a Distributed Hydrological System created to develop hydrographic basin water flow GIS applications. TerraHydro proposes a different computational representation for dealing with water flow in GIS applications. These applications involve the concept of local flow, extracted from terrain, which is the basis for most spatially(More)