[1] In this paper, we present an approach for generating a consistent long-term global leaf area index (LAI) product (1981–2011) by quantitative fusion of Moderate Resolution Imaging Spectroradiometer (MODIS) and historical Advanced Very High Resolution Radiometer (AVHRR) data. First, a MODIS LAI series was generated from MODIS data based on the GLOBCARBON LAI algorithm. Then, the relationships...

Coastal upwellings are common in the Great Lakes but have lacked enumeration and systematic classification of spatial extent, frequency, duration, and magnitude. Near real-time sea surface temperature (SST) images derived from the Advanced Very High Resolution Radiometer (AVHRR) provide indices of upwelling events, but visual inspection of daily images can be tedious. Moreover, the definition o...

During the summer of 2002 the Center of Excellence in Remote Sensing Education and Research (CERSER) was established on the campus of Elizabeth City State University. It is the intent of CERSER to develop innovative and relevant research collaboration focused on coastal, ocean, and marine research. The project represents a joint effort by the Office of Naval Research (ONR), the MU-SPIN Office o...

Two-weekly AVHRR images were used to examine spatial patterns of the normalized difference vegetation index (NDVI) and their relationships with environmental variables for moist acidic tundra (MAT) and moist non-acidic tundra (MNT) along two latitudinal transects in northern Alaska. The NDVI database was derived from a 5-yr time series (1995-1999) of two-weekly AVHRR composites for Alaska. A di...

Spectral vegetation indices obtained from satellite sensors have been used to measure and monitor the Earth’s vegetative cover from local, regional, to global scales. The normalized difference vegetation index (NDVI) has been the most widely-used index and shown to correlate with green leaf area index, green biomass, and net primary productivity. The NDVI from the two sensors, National Oceanic ...

Multitemporal and multisatellite studies or comparisons between satellite data and local ground measurements require nowadays precise and automatic geometric correction of satellite images. This paper presents a fully automatic geometric correction system capable of georeferencing satellite images with high accuracy. An orbital prediction model, which provides initial earth locations, is combin...

Three satellite fire detection models (threshold, contexburned over 2.7 million ha within Alaska (Table 1). Most of the area burned in Alaska is from wildfires caused by tual, and fuel mask) were compared and evaluated using lightning in remote regions. Because of the remoteness National Oceanographic and Atmospheric Administraand large area of Alaska, a timely and cost-effective tion (NOAA)-11...

[1] In this paper, the atmospheric precipitable water (PW) was estimated by means of Advanced Very High Resolution Radiometer (AVHRR) thermal channels brightness temperature difference (DT), over the broader area of Greece. The AVHRR derived DT was calculated in a grid of 5 5 km cells; the corresponding PW value in each grid cell was extracted from Moderate Resolution Imaging Spectroradiometer ...

A standard method for assessing the accuracy of fire mapping derived from NOAA-AVHRR imagery was applied to five Landsat scenes sampling different regions across northern Australia. The procedure involved the undertaking of: (1) detailed ground verification exercises (using ground and aerial transects) at the time of Landsat overpasses; (2) assessment of the accuracy of fire mapping derived fro...