Abstract
The multi-decadal Landsat data record is a unique tool for global land cover and land use change analysis. However, the large volume of the Landsat image archive and inconsistent coverage of clear-sky observations hamper land cover monitoring at large geographic extent. Here, we present a consistently processed and temporally aggregated Landsat Analysis Ready Data produced by the Global Land Analysis and Discovery team at the University of Maryland (GLAD ARD) suitable for national to global empirical land cover mapping and change detection. The GLAD ARD represent a 16-day time-series of tiled Landsat normalized surface reflectance from 1997 to present, updated annually, and designed for land cover monitoring at global to local scales. A set of tools for multi-temporal data processing and characterization using machine learning provided with GLAD ARD serves as an end-to-end solution for Landsat-based natural resource assessment and monitoring. The GLAD ARD data and tools have been implemented at the national, regional, and global extent for water, forest, and crop mapping. The GLAD ARD data and tools are available at the GLAD website for free access.
Highlights
The joint National Aeronautics and Space Administration (NASA) and the United States Geological Survey (USGS) Landsat program, which started in the early 1970s, provides the longest continuous global archive of the satellite earth observation data
Level 3 is the most popular data format for regional and global land cover mapping and change detection applications as it allows data analysis without the need for extensive pre-processing. Such a format is considered Analysis Ready Data (ARD) as defined by the Committee on Earth Observation Satellites (CEOS): “satellite data that have been processed to a minimum set of requirements and organized into a form that allows immediate analysis with a minimum of additional user effort and interoperability both through time and with other datasets”
We employ the archive of Landsat TM, ETM+, and OLI/TIRS data collected from the year 1997 to present available from the USGS EROS Data Center
Summary
The joint National Aeronautics and Space Administration (NASA) and the United States Geological Survey (USGS) Landsat program, which started in the early 1970s, provides the longest continuous global archive of the satellite earth observation data. Level 3 is the most popular data format for regional and global land cover mapping and change detection applications as it allows data analysis without the need for extensive pre-processing. Such a format is considered Analysis Ready Data (ARD) as defined by the Committee on Earth Observation Satellites (CEOS): “satellite data that have been processed to a minimum set of requirements and organized into a form that allows immediate analysis with a minimum of additional user effort and interoperability both through time and with other datasets” (http://ceos.org/ard/). In addition to the ARD dataset, the GLAD team has developed and provided to users a set of tools for time-series data processing, analysis and machine-learning characterization. We present the GLAD ARD methodology and provide a comprehensive description of the dataset properties
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
