Landsat continuity: Issues and opportunities for land cover monitoring

By M. Wulder, Joanne C. White, S. Goward, J. Masek, J. Irons, Martin Herold, Warren B. Cohen, Thomas R. Loveland, Curtis E. Woodcock. 2008

607 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Ecology, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/df766770cc7a9fa75deea60257f28ae421fe74af

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Citations in the corpus

Detecting trends in forest disturbance and recovery using yearly Landsat time series: 1. LandTrendr — Temporal segmentation algorithms (2010, background): “Landsat instruments have witnessed decades of unprecedented change on the Earth's surface (Wulder et al., 2008), and have the spatial and temporal properties needed to capture the processes driving that change (Cohen and Goward, 2004).”
Land-use/cover classification in a heterogeneous coastal landscape using RapidEye imagery: evaluating the performance of random forest and support vector machines classifiers (2014, methodology): “In South Africa, attempts to separate these cover types using traditional multispectral data (SPOT and Landsat) have to date been unsuccessful (Fairbanks et al. 2000).”
Current status of Landsat program, science, and applications (2019, background): “Landsat mission continuity is supported by the 1992 US Land Remote Sensing Act which maintains that the US Government should ensure a permanent, global Landsat imaging archive to enable longterm monitoring of Earth's changing land surface and climate, both natural and human-induced (Wulder et al., 2”
Opening the archive: How free data has enabled the science and monitoring promise of Landsat (2012, background): “In many cases Landsat provides our only detailed and consistent source of information on these changes (Wulder et al., 2008).”
The global Landsat archive: Status, consolidation, and direction (2016, methodology): “Following the “Land Remote Sensing Policy Act of 1992”, as described in Wulder et al. (2008), the USGS took over full responsibility for the archive in 1992.”
Dynamic interactions of life and its landscape: feedbacks at the interface of geomorphology and ecology (2010, methodology): “Further developments in the Landsat mission are planned with the Landsat Data Continuity Mission (LDCM), due for launch in 2012 (Irons and Masek, 2006; Wulder et al., 2008).”
Classification accuracy comparison: hypothesis tests and the use of confidence intervals in evaluations of difference, equivalence and non-inferiority (2009, background): “Given concerns on sensor data continuity (Wulder et al., 2008) one might wish to ensure that classifications of a site derived from old and new versions of a sensor are of comparable accuracy.”
A review of machine learning in processing remote sensing data for mineral exploration (2021, background): “They have continuously monitored Earth’s surface to satisfy various information and data requirements for more than four decades (Wulder et al., 2008).”
A review of large area monitoring of land cover change using Landsat data (2012, methodology): “As methods increase their use of multi-temporal imagery, and extend studies to multi-decadal time scales, radiometric consistency will only become more important regarding land cover monitoring (Wulder et al., 2008).”
Continuous change detection and classification of land cover using all available Landsat data (2014, background): “Mappingand monitoringland cover have been widely recognized as an important scienti ﬁ c goal (Anderson, 1976; Foody, 2002; Friedl et al., 2002; Hansen, Defries, Townshend, & Sohlberg, 2000; Homer, Huang, Yang, Wylie, & Coan, 2004; Loveland et al., 2000; Wulder et al., 2008).”
A new data fusion model for high spatial- and temporal-resolution mapping of forest disturbance based on Landsat and MODIS (2009, background): “…per scene, is used widely for mapping biophysical vegetation parameters (Cohen & Goward, 2004; Masek et al., 2006) and has proven useful for monitoring land cover (Wulder et al., 2008; Linke et al., in press) and ecosystem disturbance (Healey et al., 2005; Masek et al., 2006; Masek et al., 2008).”
Land Cover Classification using Google Earth Engine and Random Forest Classifier - The Role of Image Composition (2020, background): “To date, Landsat is the only operational system that can provide high spatial resolution (30 m), temporal resolution (16 days – with a single satellite and eight days, if data from both satellites are combined) and continuity over 30 years [38].”
Urban heat island effect: A systematic review of spatio-temporal factors, data, methods, and mitigation measures (2018, background): “…coverage (data are available since 1972) which enables researchers to extract required information over a long period of time to monitor changes (Wulder et al., 2008); and d) since Landsat 4 (1982) the images simultaneously deliver thermal and thematic spectral bands necessary to conduct UHI…”