Details:

Journal Title:
Remote Sensing
Personal Author:
Gallo, Kevin ; Stensaas, Greg ; Dwyer, John ; Longhenry, Ryan
Gallo, Kevin ; Stensaas, Greg ; Dwyer, John ; Longhenry, Ryan Less -
NOAA Program & Office:
NESDIS (National Environmental Satellite, Data, and Information Service) ; JPSS (Joint Polar Satellite System Program Office)
NESDIS (National Environmental Satellite, Data, and Information Service) ; JPSS (Joint Polar Satellite System Program Office) Less -
Description:
A Land Product Characterization System (LPCS) has been developed to provide land data and products to the community of individuals interested in validating space-based land products by comparing them with similar products available from other sensors or surface-based observations. The LPCS facilitates the application of global multi-satellite and in situ data for characterization and validation of higher-level, satellite-derived, land surface products (e.g., surface reflectance, normalized difference vegetation index, and land surface temperature). The LPCS includes data search, inventory, access, and analysis functions that will permit data to be easily identified, retrieved, co-registered, and compared statistically through a single interface. The system currently includes data and products available from Landsat 4 through 8, Moderate Resolution Imaging Spectroradiometer (MODIS) Terra and Aqua, Suomi National Polar-Orbiting Partnership (S-NPP)/Joint Polar Satellite System (JPSS) Visible Infrared Imaging Radiometer Suite (VIIRS), and simulated data for the Geostationary Operational Environmental Satellite (GOES)-16 Advanced Baseline Imager (ABI). In addition to the future inclusion of in situ data, higher-level land products from the European Space Agency (ESA) Sentinel-2 and -3 series of satellites, and other high and medium resolution spatial sensors, will be included as available. When fully implemented, any of the sensor data or products included in the LPCS would be available for comparative analysis.
Keywords:
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Artificial Satellites Data Curation Optical Observations Remote Sensing Surveying
Source:
Remote Sens. 10(1), 1-10
DOI:
https://doi.org/10.3390/rs10010048
Document Type:
Journal Article
Rights Information:
CC BY
Compliance:
PMC
Main Document Checksum:
[+]
urn:sha256:ca80cbdb9b80ebf72c0f92cb6c74042bbfe5a2c4dd77ee7b0a83c89505e0f6a1
Download URL:
https://repository.library.noaa.gov/view/noaa/25267/noaa_25267_DS1.pdf
File Type:

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