Journal Article10.1126/SCIENCE.320.5879.1011A
Free access to Landsat imagery.
Curtis E. Woodcock,Richard G. Allen,Martha C. Anderson,Alan Belward,Robert Bindschadler,Warren B. Cohen,Feng Gao,Samuel N. Goward,Dennis L. Helder,Eileen H. Helmer,Rama Nemani,Lazaros Oreopoulos,Joh Schott,Prasad S. Thenkabail,Eric Vermote,James E. Vogelmann,Michael A. Wulder,Randolph H. Wynne +17 more
TL;DR: Free imagery will enable reconstruction of the history of Earth's surface back to 1972, chronicling both anthropogenic and natural changes during a time when the authors' population doubled and the impacts of climate change became noticeable.
read more
Abstract: ![Figure][1]
Free image.
This Landsat 5 image of the southeastern corner of the Black Sea is part of the general U.S. archive that will be accessible for free under the new USGS policy.
CREDIT: BOSTON UNIVERSITY CENTER FOR REMOTE SENSING
We are entering a new era in the Landsat Program, the oldest and most venerable of our Earth-observing satellite programs. With little fanfare, the U.S. Geological Survey (USGS) has begun providing imagery for free over the Internet. Throughout the history of the Landsat Program, the cost and access to imagery has always limited our ability to study our planet and the way it is changing. Beginning with a pilot program to provide “Web-enabled” access to Landsat 7 images of the United States that were collected between 2003 and this year, the USGS now plans to provide top-quality image products for free upon request for the entire U.S. archive, including over 2 million images back to Landsat 1 (1972) [for details and schedules, see ([1][2])]. The release by NASA and the USGS in January 2008 of a new Landsat Data Distribution Policy ([2][3]) was a key step to this goal. Free imagery will enable reconstruction of the history of Earth's surface back to 1972, chronicling both anthropogenic and natural changes during a time when our population doubled and the impacts of climate change became noticeable.
The Landsat Science Team:
1. 1.[↵][4]USGS Technical Announcement ([http://landsat.usgs.gov/images/squares/USGS\_Landsat\_Imagery_Release.pdf][5]).
2. 2.[↵][6]Landsat Missions ([http://ldcm.usgs.gov/pdf/Landsat\_Data\_Policy.pdf][7]).
[1]: pending:yes
[2]: #ref-1
[3]: #ref-2
[4]: #xref-ref-1-1 "View reference 1. in text"
[5]: http://landsat.usgs.gov/images/squares/USGS_Landsat_Imagery_Release.pdf
[6]: #xref-ref-2-1 "View reference 2. in text"
[7]: http://ldcm.usgs.gov/pdf/Landsat_Data_Policy.pdf
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Quantifying the impacts of DEM uncertainty on clear-sky surface shortwave radiation estimation in typical mountainous areas
TL;DR: In this article , the impact of digital elevation model (DEM) uncertainty on short-wave radiation in the mountains is investigated quantitatively in clear-sky conditions at multiple spatial and temporal scales (30-3000 m, instantaneous to daily).
15
Using Landsat and Sentinel-2 Data for the Generation of Continuously Updated Forest Type Information Layers in a Cross-Border Region
Sascha Nink,Joachim Hill,Johannes Stoffels,Henning Buddenbaum,David Frantz,Joachim Langshausen +5 more
TL;DR: An approach for the remote sensing-based generation of a transnational and temporally consistent forest type information layer for the German federal states of Rhineland-Palatinate and Saarland, and the Grand Duchy of Luxembourg is presented.
15
Perspectives from landscape ecology can improve environmental impact assessment
Karly J. Harker,Lauren M Arnold,Ira J. Sutherland,Sarah E. Gergel +3 more
- 18 Mar 2021
TL;DR: The outcomes of environmental impact assessment (EIA) influence millions of hectares of land and can be a contentious process as discussed by the authors, and a vital aspect of an EIA process is consideration of the accumulation...
15
Mosaicking Landsat and Sentinel-2 Data to Enhance LandTrendr Time Series Analysis in Northern High Latitude Permafrost Regions
Alexandra Runge,Guido Grosse +1 more
TL;DR: By combining Landsat and Sentinel-2 data for enhanced data coverage and present a combined annual mosaic workflow, expanding currently available algorithms, such as LandTrendr, to achieve more reliable time series analysis, the results show that especially the results for northern, coastal areas was substantially improved with the Landsat+Sentinel-2 mosaics.
15
Google Earth Engine and Its Application in Forest Sciences
Mojtaba Naghdyzadegan Jahromi,Maryam Naghdizadegan Jahromi,Babak Zolghadr-Asli,Hamid Reza Pourghasemi,Seyed Kazem Alavipanah +4 more
- 01 Jan 2021
TL;DR: In this article, a systematic review has been conducted to survey those studies that have employed Google Earth Engine (GEE) for forest monitoring, showing that the GEE platform has been mainly used for classification and change detection.
15
References
A Sign That Education is Maturing: Taxonomy of Educational Objectives, the Classification of Educational Goals, Handbook I: Cognitive Domain
TL;DR: Using Bloom's Taxonomy to Write Effective Learning Objectives: The Abcds of Writing Learning ObjectIVES: A Basic Guide.