Opening the archive: How free data has enabled the science and monitoring promise of Landsat

By M. Wulder, J. Masek, Warren B. Cohen, Thomas R. Loveland, Curtis E. Woodcock. 2012

1,180 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Ecology, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/d4825585c5b036bb789ad183635cc2d4d89ff394

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Citations in the corpus

Current status of Landsat program, science, and applications (2019, background): “This resulted in new paradigms for data processing and sparked a major period of innovation and understanding (Wulder et al., 2012).”
Free and open-access satellite data are key to biodiversity conservation (2015, background): “Consequently, the USGS has begun a Landsat Global Archive Consolidation (LGAC) program Wulder et al., 2012.”
Implementation of the LandTrendr Algorithm on Google Earth Engine (2018, methodology): “After the opening of the Landsat image archive in 2008 [1], time series analysis of Landsat imagery has blossomed, with rapid development of new algorithms and capabilities for change detection [2].”
Harmonic regression of Landsat time series for modeling attributes from national forest inventory data (2018, background): “Wulder et al. (2012) suggest that the USGS Landsat Data Policy that took effect in 2008 has allowed the scientific community to finally realize the full value of the Landsat Program, as indicated by the dramatic rise in the use of its data globally.”
How Similar Are Forest Disturbance Maps Derived from Different Landsat Time Series Algorithms (2017, background): “Landsat data are at an appropriate spatial resolution for monitoring forest disturbance [7,13,41], and with major improvements in the quality and free availability of Landsat data over the past decade [14], a large number of advanced algorithms have begun to take advantage of dense Landsat time seri”
Advances in Remote Sensing of Agriculture: Context Description, Existing Operational Monitoring Systems and Major Information Needs (2013, background): “The tremendous increase in the use of Landsat data after 2008 has been demonstrated by Wulder et al. (2012) [150].”
Urban heat island effect: A systematic review of spatio-temporal factors, data, methods, and mitigation measures (2018, background): “…of a Landsat image is 185km x 185km which means that a researcher needs to aggregate and process multiple images when an analysis is focused on regional and national scale and thereby the processing time increases significantly (Irons et al., 2012; Loveland and Dwyer, 2012); Wulder et al. (2012).”
A Pixel-Based Landsat Compositing Algorithm for Large Area Land Cover Mapping (2013, background): “[7], [54] and advances in storage and computational resources”
Change detection using landsat time series: A review of frequencies, preprocessing, algorithms, and applications (2017, methodology): “In 2008, the free and open access to the whole Landsat archive has further revolutionized the way of using Landsat data (Woodcock, 2008; Wulder et al., 2012).”