Landsat Analysis Ready Data for Global Land Cover and Land Cover Change Mapping

Simple item page
dc.contributor.authorPotapov, Peter
dc.contributor.authorHansen, Matthew C.
dc.contributor.authorKommareddy, Indrani
dc.contributor.authorKommareddy, Anil
dc.contributor.authorTurubanova, Svetlana
dc.contributor.authorPickens, Amy
dc.contributor.authorAdusei, Bernard
dc.contributor.authorTyukavina, Alexandra
dc.contributor.authorYing, Qing
dc.date.accessioned2023-11-13T16:08:30Z
dc.date.available2023-11-13T16:08:30Z
dc.date.issued2020-01-29
dc.description.abstractThe 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.
dc.description.urihttps://doi.org/10.3390/rs12030426
dc.identifierhttps://doi.org/10.13016/dspace/zxew-1hrn
dc.identifier.citationPotapov, P.; Hansen, M.C.; Kommareddy, I.; Kommareddy, A.; Turubanova, S.; Pickens, A.; Adusei, B.; Tyukavina, A.; Ying, Q. Landsat Analysis Ready Data for Global Land Cover and Land Cover Change Mapping. Remote Sens. 2020, 12, 426.
dc.identifier.urihttp://hdl.handle.net/1903/31360
dc.language.isoen_US
dc.publisherMDPI
dc.relation.isAvailableAtCollege of Behavioral & Social Sciencesen_us
dc.relation.isAvailableAtGeographyen_us
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_us
dc.relation.isAvailableAtUniversity of Maryland (College Park, MD)en_us
dc.subjectLandsat
dc.subjectanalysis ready data
dc.subjectsurface reflectance
dc.subjectland surface phenology
dc.subjectimage compositing
dc.subjectmulti-temporal metrics
dc.subjectland cover
dc.subjectland cover change
dc.subjecttime-series analysis
dc.subjectglobal analysis
dc.titleLandsat Analysis Ready Data for Global Land Cover and Land Cover Change Mapping
dc.typeArticle
local.equitableAccessSubmissionNo

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
remotesensing-12-00426-v2.pdf
Size:
7.06 MB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.55 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Geography Research Works