Vegetation change detection has become increasingly important in understanding vegetation dynamics and its role in terrestrial and atmospheric systems. In the case of Scotland, there is a need to routinely monitor habitats which include native pine woodland, montane habitats, upland heathland and blanket bog (EC Habitats Directive). In northern temperate regions restricted and distinct growing ...

The Normalized Difference Vegetation Index (NDVI) time-series data derived from Advanced Very High Resolution Radiometer (AVHRR) have been extensively used for studying inter-annual dynamics of global and regional vegetation. However, there can be significant uncertainties in the data due to incomplete atmospheric correction and orbital drift of the satellites through their active life. Access ...

The National Oceanic and Atmospheric Administration (NOAA) currently uses Nonlinear Sea Surface Temperature (NLSST) algorithms to estimate sea surface temperature (SST) from NOAA satellite Advanced Very High Resolution Radiometer (AVHRR) data. In this study, we created a three-month dataset of global sea surface temperature derived from NOAA-15 AVHRR data paired with coincident SST measurements...

This paper describes a cloud type radiance record derived from NOAA polar-orbiting weather satellites using cloud properties retrieved from the Advanced Very High Resolution Radiometer (AVHRR) and spectral brightness temperatures (Tb) observed by the High Resolution Infrared Radiation Sounder (HIRS). The authors seek to produce a seamless, global-scale, long-term record of cloud type andTb stat...

This paper explores the impact of the integrated water vapor content (IWV) in the atmospheric column on the corrections of optical satellite data over land. First, simulation runs were used to quantify the trends in red and near infrared parts of the electromagnetic spectrum. Second, advanced very high resolution radiometer (AVHRR) measurements obtained over Canada during the 1996 growing seaso...

Past studies based on the NOAA/AVHRR and GOES I-M imager instruments have documented the link between certain storm top features referred to as the “cold-U/V” shape in the 10–12 μm IR band imagery and plumes of increased 3.7/3.9 μm band reflectivity. Later, similar features in the 3.7/3.9 μm band have been documented in the AVHRR/3 1.6 μm band imagery. The present work focuses on storm top obse...

Earth surface longwave radiation (SLR), including downward (DLR), upward (ULR), and net (NLR), significantly impacts the budget global climate evolution. However, spatiotemporal variation in SLR remains poorly understood. In this study, three satellite products (GLASS-MODIS V40, GLASS-AVHRR, CERES-SYN) reanalysis datasets (ERA5, MERRA-2, GLDAS) were validated using ground measurements from 288 ...

Vegetation phenology is the chronology of periodic phases of development. It constitutes an efficient bio-indicator of impacts of climate changes and a key parameter for understanding and modelling vegetation-climate interactions and their implications on carbon cycling. Numerous studies were devoted to the remote sensing of vegetation phenology. Most of these were carried out using data acquir...

ABSTRACT: Combined usage and analysis of images from different sensors for various applications, including disaster monitoring, often needs first an image co-registration. Co-registration is based on automated matching of corresponding image features (e.g. just 10-40) and becomes very difficult when the images differ a lot. Perhaps the most difficult case is that of co-registering optical and S...