Analysis Ready Data: Enabling Analysis of the Landsat Archive

By John L. Dwyer, David P. Roy, B. Sauer, C. Jenkerson, Hankui K. Zhang, Leo Lymburner. Remote Sensing, 2018

390 citations recorded by the source corpus.

Data that have been processed to allow analysis with a minimum of additional user effort are often referred to as Analysis Ready Data (ARD). The ability to perform large scale Landsat analysis relies on the ability to access observations that are geometrically and radiometrically consistent, and have had non-target features (clouds) and poor quality observations flagged so that they can be excluded. The United States Geological Survey (USGS) has processed all of the Landsat 4 and 5 Thematic Mapper (TM), Landsat 7 Enhanced Thematic Mapper Plus (ETM+), Landsat 8 Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS) archive over the conterminous United States (CONUS), Alaska, and Hawaii, into Landsat ARD. The ARD are available to significantly reduce the burden of pre-processing on users of Landsat data. Provision of pre-prepared ARD is intended to make it easier for users to produce Landsat-based maps of land cover and land-cover change and other derived geophysical and biophysical products. The ARD are provided as tiled, georegistered, top of atmosphere and atmospherically corrected products defined in a common equal area projection, accompanied by spatially explicit quality assessment information, and

Subfields: Artificial Intelligence, Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/fdb5a2bf7f5f565cf98df71f00c02d4076c64a15

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Citations in the corpus

Current status of Landsat program, science, and applications (2019, background): “ARD products are available for search and download over the conterminous United States (CONUS), Alaska, and Hawaii for Landsat-4, -5, -7 and -8 (Dwyer et al., 2018).”
Recent Applications of Landsat 8/OLI and Sentinel-2/MSI for Land Use and Land Cover Mapping: A Systematic Review (2020, methodology): “[203] state the importance of gridding the data to a common equal-area projection and other processing procedures to provide adequate ARD such as Top-of-Atmosphere Reflectance (ToA), Brightness Temperature, Surface Reflectance, Provisional Surface Temperature, and Quality Assessment.”