Google Earth Engine: Planetary-scale geospatial analysis for everyone
TLDR
Google Earth Engine is a cloud-based platform for planetary-scale geospatial analysis that brings Google's massive computational capabilities to bear on a variety of high-impact societal issues including deforestation, drought, disaster, disease, food security, water management, climate monitoring and environmental protection.About:
This article is published in Remote Sensing of Environment.The article was published on 2017-07-06 and is currently open access. It has received 6262 citations till now. The article focuses on the topics: Cloud computing & Geospatial analysis.read more
Citations
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Assessing nitrogen dioxide (NO2) levels as a contributing factor to coronavirus (COVID-19) fatality
TL;DR: The results indicate that the long-term exposure to this pollutant may be one of the most important contributors to fatality caused by the COVID-19 virus in these regions and maybe across the whole world.
Journal ArticleDOI
Changes in air quality during the lockdown in Barcelona (Spain) one month into the SARS-CoV-2 epidemic.
Aurelio Tobias,Cristina Carnerero,Cristina Reche,Jordi Massagué,Marta Via,María Cruz Minguillón,Andrés Alastuey,Xavier Querol +7 more
TL;DR: After two weeks of lockdown, urban air pollution markedly decreased but with substantial differences among pollutants, and there are still open questions on why PM10 levels were much less reduced than BC and NO2 and on what is the proportion of the abatement of pollution directly related to the lockdown, without meteorological interferences.
Journal ArticleDOI
A global map of travel time to cities to assess inequalities in accessibility in 2015.
Daniel J. Weiss,Andrew Nelson,Harry S. Gibson,William H. Temperley,S. Peedell,Allison Lieber,Hancher,E. Poyart,S. Belchior,Nancy Fullman,Bonnie Mappin,Ursula Dalrymple,Jennifer Rozier,Tim C.D. Lucas,Rosalind E. Howes,Lucy S. Tusting,Su Yun Kang,Ewan Cameron,Donal Bisanzio,Katherine E. Battle,Samir Bhatt,Peter W. Gething +21 more
TL;DR: A map that quantifies travel time to cities for 2015 at a spatial resolution of approximately one by one kilometre is developed and validated and it is demonstrated how access to urban centres stratifies the economic, educational, and health status of humanity.
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Remote sensing for agricultural applications: A meta-review
TL;DR: In this paper, the authors present the agronomical variables and plant traits that can be estimated by remote sensing, and describe the empirical and deterministic approaches to retrieve them, and provide a synthesis of the emerging opportunities that should strengthen the role of remote sensing in providing operational, efficient and long-term services for agricultural applications.
References
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Posted Content
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Martín Abadi,Ashish Agarwal,Paul Barham,Eugene Brevdo,Zhifeng Chen,Craig Citro,Greg S. Corrado,Andy Davis,Jeffrey Dean,Matthieu Devin,Sanjay Ghemawat,Ian Goodfellow,Andrew Harp,Geoffrey Irving,Michael Isard,Yangqing Jia,Rafal Jozefowicz,Lukasz Kaiser,Manjunath Kudlur,Josh Levenberg,Dan Mané,Rajat Monga,Sherry Moore,Derek G. Murray,Chris Olah,Mike Schuster,Jonathon Shlens,Benoit Steiner,Ilya Sutskever,Kunal Talwar,Paul A. Tucker,Vincent Vanhoucke,Vijay K. Vasudevan,Fernanda B. Viégas,Oriol Vinyals,Pete Warden,Martin Wattenberg,Martin Wicke,Yuan Yu,Xiaoqiang Zheng +39 more
TL;DR: The TensorFlow interface and an implementation of that interface that is built at Google are described, which has been used for conducting research and for deploying machine learning systems into production across more than a dozen areas of computer science and other fields.
Journal ArticleDOI
High-Resolution Global Maps of 21st-Century Forest Cover Change
Matthew C. Hansen,Peter Potapov,Rebecca Moore,M. Hancher,Svetlana Turubanova,Alexandra Tyukavina,David Thau,Stephen V. Stehman,Scott J. Goetz,Thomas R. Loveland,Anil Kommareddy,A. Egorov,Louise Chini,Christopher O. Justice,John R. Townshend +14 more
TL;DR: Intensive forestry practiced within subtropical forests resulted in the highest rates of forest change globally, and boreal forest loss due largely to fire and forestry was second to that in the tropics in absolute and proportional terms.
Journal ArticleDOI
The Google file system
TL;DR: This paper presents file system interface extensions designed to support distributed applications, discusses many aspects of the design, and reports measurements from both micro-benchmarks and real world use.
Proceedings Article
Bigtable: A Distributed Storage System for Structured Data (Awarded Best Paper!).
Fay W. Chang,Jeffrey Dean,Sanjay Ghemawat,Wilson C. Hsieh,Deborah A. Wallach,Michael Burrows,Tushar Deepak Chandra,Andrew Fikes,Robert Gruber +8 more
TL;DR: Bigtable as mentioned in this paper is a distributed storage system for managing structured data that is designed to scale to a very large size: petabytes of data across thousands of commodity servers, including web indexing, Google Earth and Google Finance.
Journal ArticleDOI
Bigtable: A Distributed Storage System for Structured Data
Fay W. Chang,Jeffrey Dean,Sanjay Ghemawat,Wilson C. Hsieh,Deborah A. Wallach,Michael Burrows,Tushar Deepak Chandra,Andrew Fikes,Robert E. Gruber +8 more
TL;DR: The simple data model provided by Bigtable is described, which gives clients dynamic control over data layout and format, and the design and implementation of Bigtable are described.