The German Aerospace Center’s (DLR) TIMELINE project aims to develop an operational processing and data management environment to process 30 years of National Oceanic and Atmospheric Administration (NOAA)—Advanced Very High Resolution Radiometer (AVHRR) raw data into L1b, L2 and L3 products. This article presents the current status of the fully automated L2 active fire hotspot detection process...

In this study, satellite-based remote sensing techniques were developed for identifying smoke from forest fires. Both artificial neural networks (NN) and multithreshold techniques were explored for application with imagery from the Advanced Very High Resolution Radiometer (AVHRR) aboard NOAA satellites. The NN was designed such that it does not only classify a scene into smoke, cloud, or clear ...

AdvancedVery HighResolutionRadiometer (AVHRR) data have been extensively used for global land-cover classiŽ cation, but few studies have taken direct and full advantage of the multi-year properties of AVHRR data. This study focused on generating eVective classiŽ cation features from multi-year AVHRR data to improve classiŽ cation accuracy.Three types of features were derived from 12-year monthl...

A number of studies based on long-term Normalized Difference Vegetation Index (NDVI) data from the NOAA/AVHRR have documented an increase in terrestrial photosynthesis over extended regions of the globe and a number of driving factors have been invoked to explain this greening. In India the increase in photosynthetic activity corresponds to the expansion of irrigation following the technologica...

The operational service for algal bloom monitoring at NERSC is primarily based on NOAA AVHRR and SeaWiFS optical data. The service has shown very useful in several occasions since 1998 while severe and harmful blooms of the algae Chattonella sp. were reported from the North Sea off the coast of Denmark. Early detection and mapping of the extent and concentrations of the blooms were achieved. Ho...

A NOAA/AVHRR dual-channel method over land is proposed to simultaneously retrieve aerosol optical depth (AOD) at 0.55 μm, and surface reflectance 0.63 0.85 μm. Compared with previous well-established one-channel retrieval algorithms, this algorithm takes advantage of the ratio between μm in an attempt account for effect induced by bidirectional distribution function (BRDF). This cannot be negli...