Landsat continuity: Issues and opportunities for land cover monitoring

Wulder, Michael A.; White, Joanne C.; Goward, Samuel N.; Masek, Jeffrey G.; Irons, James R.; Herold, Martin; Cohen, Warren B.; Loveland, Thomas R.; Woodcock, Curtis E.

doi:10.1016/j.rse.2007.07.004

Cited by 467 publications

(241 citation statements)

References 52 publications

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“…In this regard, Landsat data records are highly valuable for Global/Regional/ National/Sub-national land changes studies. Landsat observations have the longest time-series, wide extent, medium spatial, and moderate temporal resolutions (Santos & Gonçalves, 2014;Wulder et al, 2008Wulder et al, , 2012. Moreover, in 2008 all new and archived Landsat data held by the United States Geological Survey (USGS) were made freely available over the Internet followed by a tremendous increase in scientific investigations and applications Wulder et al, 2012).…”

Section: Background: Setting the Scene For The Swiss Data Cubementioning

confidence: 99%

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Building an Earth Observations Data Cube: lessons learned from the Swiss Data Cube (SDC) on generating Analysis Ready Data (ARD)

et al. 2017

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Section: Background: Setting the Scene For The Swiss Data Cubementioning

confidence: 99%

“…To better preserve the quality of the environment and improve the management of natural resources and land planning, it is useful to monitor these changes through time (Wulder et al, 2008). One of the main advantages of remote sensing is to provide a synoptic view of a given spatial extent.…”

Section: Introductionmentioning

confidence: 99%

Building an Earth Observations Data Cube: lessons learned from the Swiss Data Cube (SDC) on generating Analysis Ready Data (ARD)

et al. 2017

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“…There has been a recent upsurge in the provision of a temporal dimension, notably as a result of advances in data integration methods and attention to continuity issues (Steven et al, 2003;Wulder et al, 2008). Many studies have exploited the temporal dimension of remote sensing, a valuable attribute for studies of ecological systems, notably as a source of information on variables such as the timing and monitoring of vegetative phenological events .…”

Section: Remote Sensing: Capturing the Temporal Dimensionmentioning

confidence: 99%

“…An important concern for some is the maintenance of data continuity (Steven et al 2003;Leimgruber et al, 2005). For example, there is a strong desire to extend the archive of Landsat sensor products into the future as such data have been widely used for over 3 decades (Cohen and Goward, 2004;Boyd and Danson, 2005;Wulder et al, 2008). Continuity issues, therefore, need consideration in the development of new sensors (Janetos and Justice, 2000).…”

Section: Prospectsmentioning

confidence: 99%

An overview of recent remote sensing and GIS based research in ecological informatics

Boyd

Foody

2011

Ecological Informatics

111

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This article provides an overview of some of the recent research in ecological informatics involving remote sensing and GIS. Attention focuses on a selected range of issues including topics such as the nature of remote sensing data sets, issues of accuracy and uncertainty, data visualization and sharing activities as well as developments in aspects of ecological modeling research. It is shown that considerable advances have been made over recent years and foundations for future research established. BackgroundGeotechnology has been couched as one of the three "mega-technologies" of the 21 st century, along with nanotechnology and biotechnology (Gewin, 2004). On the cusp of the second decade of the 21 st century it is evident that recent developments in the geotechnologies of Geographic Information Science (GIS) and remote sensing have had a substantial impact on ecological research, providing spatial data and associated information to enable the further understanding of ecological systems (Rundell et al., 2009). In a digital society there is sometimes an expectation that information is just a click away and this may apply to spatial information in the domain of ecological informatics. Indeed, it has been in the last five years that developments in and relating to the fields of GIS and remote sensing, such as those seen in internet technologies (e.g., Web 2.0; high performance communication networks; Brunt et al., 2007), sensing technology (e.g., quantum well infrared photodetectors; Krabach, 2000), data standards and interoperability (e.g., OGC® KML 2.2) and spatially explicit modeling (e.g., Osborne et al., 2007), have resulted in the revelation of previously unobservable phenomena and posing of what might be termed second generation of ecological questions. During this time we have also seen more support for the open exchange of data and software and infrastructure for location based services. This paper serves as a review of some of the recent developments in GIS and remote sensing that have been or promises to be of benefit to ecological informatics. The subjects addressed are necessarily selective and limited in scope, drawing on topics of interest to us and, we hope, to you.

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“…Moreover, although MODIS imagery has a 2-day orbital repeat, the Landsat satellite (16-day orbital repeat) can provide a better identification of more specific spatial patterns due to its higher pixel resolution. High temporal resolution is not as important as a high spatial resolution for finer change products in globalscale studies, whereas major vectors of change are identified in the 1-5-year range (Wulder et al 2008). With the Landsat datasets, phenological differences can be captured, and the spatial representation of landscape diversity is adequately represented.…”

Section: Introductionmentioning

confidence: 99%

Developing spatially and thematically detailed backdated maps for land cover studies

Vidal-Macua

Zabala

Ninyerola

et al. 2016

International Journal of Digital Earth

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Global or regional land cover change on a decadal time scale can be studied at a high level of detail using the availability of remote sensing data such as that provided by Landsat. However, there are three main technical challenges in this goal. First, the generation of land cover maps without reference data is problematic (backdating). Second, it is important to maintain high accuracies in land cover change map products, requiring a reasonably rich legend within each map. Third, a high level of automation is necessary to aid the management of large volumes of data. This paper describes a robust methodology for processing time series of satellite data over large spatial areas. The methodology includes a retrospective analysis used for the generation of training and test data for historical periods lacking reference information. This methodology was developed in the context of research on global change in the Iberian Peninsula. In this study we selected two scenes covering geographic regions that are representative of the Iberian Peninsula. For each scene, we present the results of two classifications (1985-1989 and 2000-2004 quinquennia), each with a legend of 13 categories. An overall accuracy of over 92% was obtained for all 4 maps. ARTICLE HISTORY

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Landsat continuity: Issues and opportunities for land cover monitoring

Cited by 467 publications

References 52 publications

Building an Earth Observations Data Cube: lessons learned from the Swiss Data Cube (SDC) on generating Analysis Ready Data (ARD)

Building an Earth Observations Data Cube: lessons learned from the Swiss Data Cube (SDC) on generating Analysis Ready Data (ARD)

An overview of recent remote sensing and GIS based research in ecological informatics

Developing spatially and thematically detailed backdated maps for land cover studies

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