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Papers in this group

1 - 20 of 2,769
  1. This paper reports a study which aims to (i) develop methodologies for global land cover classi® cations that are objective, reproducible and feasible to implement as new satellite data become available in the future and (ii) provide a global land…
  2. Results are provided of a project to derive improved products from the National Oceanic and Atmospheric Administration (NOAA) Advanced Very High Resolution Radiometer (AVHRR) data record for land investigations. As part of this project, a prototype…
  3. Many methods of analysing remotely sensed data assume that pixels are pure, and so a failure to accommodate mixed pixels may result in signi® cant errors in data interpretation and analysis. The analysis of data containing a large proportion of…
  4. This work investigated the temporal monitoring of savanna (`cerrado’) vegetation phenology in the Emas National Park of Brazil utilizing 1.1 km full resolution daily images of the Advanced Very High Resolution Radiometer (AVHRR) on-board the NOAA-11…
  5. The interannual variation of global vegetation net primary production (NPP), which is crucial to understanding the role of terrestrial biosphere in the global carbon cycle, is still poorly understood. Currently, remote sensing emerges as a useful…
  6. This Letter presents the preliminary Ž ndings of a new approach to deal with misregistration eVects on change detection results. A multiresolution analysis with wavelet transforms applied to image diVerencing results enabled the extraction of…
  7. Classi® cation of multisource remote sensing and geographic data by neural networks is discussed with respect to feature extraction. Several feature extraction methods are reviewed, including principal component analysis, discriminant analysis, and…