Results 41 to 50 of about 2,355 (168)

The AVHRR Polar Pathfinder Climate Data Records [PDF]

open access: yesRemote Sensing, 2016
With recent, dramatic changes in Arctic sea ice and the Antarctic ice sheets, the importance of monitoring the climate of the polar regions has never been greater. While many individual global satellite products exist, the AVHRR Polar Pathfinder products provide a comprehensive set of variables that can be used to study trends and interactions within ...
Jeffrey R. Key   +4 more
openaire   +2 more sources

Variability and trends in land surface longwave radiation fluxes from six satellite and reanalysis products

open access: yesInternational Journal of Digital Earth, 2023
Earth surface longwave radiation (SLR), including downward (DLR), upward (ULR), and net longwave radiation (NLR), significantly impacts the surface radiation budget and global climate evolution. However, the spatiotemporal variation in SLR remains poorly
Jianglei Xu   +6 more
doaj   +1 more source

A 30+ Year AVHRR Land Surface Reflectance Climate Data Record and Its Application to Wheat Yield Monitoring

open access: yesRemote Sensing, 2017
The Advanced Very High Resolution Radiometer (AVHRR) sensor provides a unique global remote sensing dataset that ranges from the 1980s to the present.
Belen Franch   +13 more
doaj   +1 more source

Investigations into the development of a satellite-based aerosol climate data record using ATSR-2, AATSR and AVHRR data over north-eastern China from 1987 to 2012 [PDF]

open access: yesAtmospheric Measurement Techniques, 2019
Satellites provide information on the temporal and spatial distributions of aerosols on regional and global scales. With the same method applied to a single sensor all over the world, a consistent data set is to be expected.
Y. Che   +7 more
doaj   +1 more source

A New Retrieval Algorithm of Fractional Snow over the Tibetan Plateau Derived from AVH09C1

open access: yesRemote Sensing
Snow cover products are primarily derived from the Moderate-resolution Imaging Spectrometer (MODIS) and Advanced Very-High-Resolution Radiometer (AVHRR) datasets. MODIS achieves both snow/non-snow discrimination and snow cover fractional retrieval, while
Hang Yin, Liyan Xu, Yihang Li
doaj   +1 more source

AVHRR Curation Project - Keeping 40 years of European AVHRR-LAC data

open access: yes, 2023
The year 2022 was one of the hottest for many regions of the Earth resulting in droughts with shortened vegetation periods, exceptional glacier melt, reduced snow cover, strong warming of lakes, rivers and the Mediterranean Sea and many more considerable anomalies of essential climate variables (ECVs) around the globe.
openaire   +1 more source

Detección de incendios en México utilizando imágenes AVHRR (temporada 1998)

open access: yesInvestigaciones Geográficas, 1999
La temporada de incendios de 1998 en México fue excepcional. En ello contribuyeron los fenómenos meteorológicos del año anterior (huracanes y bajas temperaturas, principalmente) que ocasionaron la deposición de grandes cantidades de material ...
José Luis Palacio Prieto   +2 more
doaj  

Extending AVHRR Climate Data Records into the VIIRS Era for Polar Climate Research

open access: yesRemote Sensing
The Advanced Very High-Resolution Radiometer (AVHRR) onboard NOAA-7 through NOAA-19 satellites has been the primary data source for two Climate Data Records (CDRs) that were developed specifically for Arctic and Antarctic studies: the AVHRR Polar ...
Xuanji Wang   +5 more
doaj   +1 more source

Impact of AVHRR Channel 3b Noise on Climate Data Records: Filtering Method Applied to the CM SAF CLARA-A2 Data Record

open access: yesRemote Sensing, 2017
A method for reducing the impact of noise in the 3.7 micron spectral channel in climate data records derived from coarse resolution (4 km) global measurements from the Advanced Very High Resolution Radiometer (AVHRR) data is presented.
Karl-Göran Karlsson   +4 more
doaj   +1 more source

Noise characteristics of the AVHRR infrared channels

open access: yesInternational Journal of Remote Sensing, 1989
Abstract Limitations on the precision of digitized data are identified and discussed. Apart from calibration errors, these sources of uncertainty can be divided into three types of noise; digitization, Gaussian and periodic, each of which behaves differently when data is averaged.
openaire   +1 more source

Home - About - Disclaimer - Privacy