A land product characterization system for comparative analysis of satellite data and products
Remote Sensing
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Abstract
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.
Suggested Citation
Gallo, K., Stensaas, G.L., Dwyer, J.L., Longhenry, R., 2018, A land product characterization system for comparative analysis of satellite data and products: Remote Sensing, v. 10, no. 1, 48, 10 p., https://doi.org/10.3390/rs10010048.
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | A land product characterization system for comparative analysis of satellite data and products |
| Series title | Remote Sensing |
| DOI | 10.3390/rs10010048 |
| Volume | 10 |
| Issue | 1 |
| Publication Date | December 29, 2017 |
| Year Published | 2018 |
| Language | English |
| Publisher | MDPI |
| Contributing office(s) | Earth Resources Observation and Science (EROS) Center |
| Description | 48, 10 p. |