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Remote Sens. 2018, 10(1), 48; doi:10.3390/rs10010048

A Land Product Characterization System for Comparative Analysis of Satellite Data and Products

1
NOAA/NESDIS, College Park, MD 20740, USA
2
USGS-EROS, Sioux Falls, SD 57198, USA
*
Author to whom correspondence should be addressed.
Received: 21 November 2017 / Revised: 18 December 2017 / Accepted: 21 December 2017 / Published: 29 December 2017
(This article belongs to the Special Issue Quantitative Remote Sensing of Land Surface Variables)
View Full-Text   |   Download PDF [8859 KB, uploaded 29 December 2017]   |  

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. View Full-Text
Keywords: remote sensing; characterization; calibration; validation; Landsat; MODIS; VIIRS; Sentinel; GOES remote sensing; characterization; calibration; validation; Landsat; MODIS; VIIRS; Sentinel; GOES
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Gallo, K.; Stensaas, G.; Dwyer, J.; Longhenry, R. A Land Product Characterization System for Comparative Analysis of Satellite Data and Products. Remote Sens. 2018, 10, 48.

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