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Challenges and Opportunities [chapter]

Linda H. Geiser, Toral Patel-Weynand, Anne S. Marsh, Korena Mafune, Daniel J. Vogt
2020 Forest and Rangeland Soils of the United States Under Changing Conditions  
Challenges and Opportunities • Creating broad, inclusive opportunities for educating students and the public at large about science, technology, engineering, and mathematics (STEM) subjects, including  ...  data-sharing, and decision-making at management and policymaking levels. • Providing opportunities for scientists and managers to develop and test innovative ideas, and share that information with land  ... 
doi:10.1007/978-3-030-45216-2_10 fatcat:6f7cfo43gbhjhb4zhbrbghn3ii

Remote sensing big data computing: Challenges and opportunities

Yan Ma, Haiping Wu, Lizhe Wang, Bormin Huang, Rajiv Ranjan, Albert Zomaya, Wei Jie
2015 Future generations computer systems  
In this paper, we give a brief overview on the Big Data and data-intensive problems, including the analysis of RS Big Data, Big Data challenges, current techniques and works for processing RS Big Data.  ...  the "data-intensive computing" issues in remote sensing big data processing. a b s t r a c t As we have entered an era of high resolution earth observation, the RS data are undergoing an explosive growth  ...  Opportunities are always followed by challenges.  ... 
doi:10.1016/j.future.2014.10.029 fatcat:xw3ssuxmrfdqhi55jnepxig6by

Space optics: challenge and opportunity

James B. Breckinridge, Jose M. Sasian, R. John Koshel, Paul K. Manhart, Richard C. Juergens
2004 Novel Optical Systems Design and Optimization VII  
The NASA mission development process has created several very challenging design and engineering problems.  ...  Issues related to optical design & engineering and image quality will be discussed. This paper reviews the optical systems and engineering needs for next generation astrophysics missions.  ...  Acknowledgments The author acknowledges helpful discussion with many of his colleagues at NASA HQ and at NASA centers to create the content of this overview and summary invited paper.  ... 
doi:10.1117/12.560474 fatcat:eqrilrktozchnpe6mblz47kjia

Opportunities and challenges of establishing coastal observing systems

Robert R. Christian, Paul M. DiGiacomo, Thomas C. Malone, Liana Talaue-McManus
2006 Estuaries and Coasts  
Recent socio-political awareness and technical advances have improved the opportunities for establishing these observing systems and ensuring their sustainability.  ...  Observing systems go beyond monitoring by enabling links between user needs and observations and by providing valued information products to user groups at appropriate spatial and temporal scales.  ...  ACKNOWLEDGMENTS The contents of this article are solely the opinions of the authors and do not constitute a statement of policy, decision, or position on behalf of National Oceanic and Atmospheric Administration  ... 
doi:10.1007/bf02786538 fatcat:dweewujddrex3plkirfiwnhhkm

Big Data and cloud computing: innovation opportunities and challenges

Chaowei Yang, Qunying Huang, Zhenlong Li, Kai Liu, Fei Hu
2016 International Journal of Digital Earth  
At the same time, Big Data presents challenges for digital earth to store, transport, process, mine and serve the data.  ...  From the aspects of a general introduction, sources, challenges, technology status and research opportunities, the following observations are offered: (i) cloud computing and Big Data enable science discoveries  ...  Acknowledgements We thank the anonymous reviewers for their insightful comments and reviews. Dr George Taylor reviewed a previous version of this manuscript.  ... 
doi:10.1080/17538947.2016.1239771 fatcat:qbcgqj2pcvbgja6dnnakoj2saa

Challenges and Opportunities of Open Data in Ecology

O. J. Reichman, M. B. Jones, M. P. Schildhauer
2011 Science  
Sociological challenges, including inadequate rewards for sharing data, must also be resolved.  ...  Ecology is a synthetic discipline benefiting from open access to data from the earth, life, and social sciences.  ...  The field has rapidly matured over the past century from small-scale, short-term observations and experiments conducted by individuals to include large-scale, long-term, multidisciplinary projects that  ... 
doi:10.1126/science.1197962 pmid:21311007 fatcat:34i7z7medjc5bcsasvrje4ddc4

Iterative ecological forecasting: Needs, opportunities, and challenges

Michael Dietze
2017 Figshare  
This report benefited from feedback provided by internal reviews by both NEON and USGS and we would like to thank John Bradford for his useful comments.  ...  MCD and KW were supported by funding from NSF 1638577 & 1638575. EPW was supported by the Gordon and Betty Moore Foundation's Data-Driven Discovery Initiative through Grant GBMF4563.  ...  , and challenges At the other extreme from bottom-up networks are large-scale derived data layers, such as are common for climate data, land-use data, remote sensing, and GIS ( Figure 1 ).  ... 
doi:10.6084/m9.figshare.4715317.v1 fatcat:qknka52tgzdjbpf2bl35wszvea

Satellite remote sensing for applied ecologists: opportunities and challenges

Nathalie Pettorelli, William F. Laurance, Timothy G. O'Brien, Martin Wegmann, Harini Nagendra, Woody Turner, E.J. Milner-Gulland
2014 Journal of Applied Ecology  
The potential for satellite remote sensing (SRS) to provide key data has been highlighted by many researchers, with SRS offering repeatable, standardized and verifiable information on long-term trends  ...  SRS permits one to address questions on scales inaccessible to ground-based methods alone, facilitating the development of an integrated approach to natural resource management, where biodiversity, pressures  ...  Specific platforms facilitating exchanges of information and networking opportunities between these communities, such as the Group on Earth Observations Biodiversity Observation Network (GEO BON) or the  ... 
doi:10.1111/1365-2664.12261 fatcat:yuly2welivauzc336eigmgywvu

Big Data: Opportunities and Privacy Challenges [article]

Hervais Simo Fhom
2015 arXiv   pre-print
In this paper, we discuss the benefits of big data to individuals and society at large, focusing on seven key use cases: Big data for business optimization and customer analytics, big data and science,  ...  the fulfillment of expected opportunities and long-term success of big data.  ...  , patterns, and value from (personal) data.  ... 
arXiv:1502.00823v1 fatcat:rgfvel67ofa4hg4jamxqvqlxy4

Challenges and Opportunities in Water Cycle Research: WCRP Contributions [chapter]

Kevin E. Trenberth, Ghassem R. Asrar
2012 Space Sciences Series of ISSI  
The state of knowledge and outstanding challenges and opportunities in global water cycle observations, research and modeling are briefly reviewed to set the stage for the reasons behind the new thrusts  ...  Here we describe what are some imperatives and opportunities for major advancements in observations, understanding, modeling, and product development for water resources and climate that will enable a  ...  We thank Howard Wheater and the many other WCRP, and especially GEWEX scientists who contributed to the development of the GSQs.  ... 
doi:10.1007/978-94-017-8789-5_3 fatcat:nppthnej4realostmzqk3taz7i

Challenges and Opportunities in Water Cycle Research: WCRP Contributions

Kevin E. Trenberth, Ghassem R. Asrar
2012 Surveys in geophysics  
The state of knowledge and outstanding challenges and opportunities in global water cycle observations, research and modeling are briefly reviewed to set the stage for the reasons behind the new thrusts  ...  Here we describe what are some imperatives and opportunities for major advancements in observations, understanding, modeling, and product development for water resources and climate that will enable a  ...  We thank Howard Wheater and the many other WCRP, and especially GEWEX scientists who contributed to the development of the GSQs.  ... 
doi:10.1007/s10712-012-9214-y fatcat:q7ftbew6wzembebaat5eqddcza

Virtual Reality � Opportunities and Challenges

D. Raja
2019 International Journal for Research in Applied Science and Engineering Technology  
For planning an augmented experience framework, one need to manages thoughts of spatial connections and PC designs which thus are subsidiary to science, material science, expressions and furthermore human  ...  More and more, these varied technologies are becoming integrated to produce US with new talents and services. And most frequently a pc is that the heart of such integration.  ...  CONCLUSION Computer generated Reality future relies upon the presence of frameworks that address issues of "large scale" virtual environments.  ... 
doi:10.22214/ijraset.2019.4321 fatcat:regox7boc5bqbco6cbo2yaelbi

Machine Learning for the Geosciences: Challenges and Opportunities [article]

Anuj Karpatne, Imme Ebert-Uphoff, Sai Ravela, Hassan Ali Babaie, and Vipin Kumar
2017 arXiv   pre-print
This article introduces researchers in the machine learning (ML) community to these challenges offered by geoscience problems and the opportunities that exist for advancing both machine learning and geosciences  ...  We first highlight typical sources of geoscience data and describe their properties that make it challenging to use traditional machine learning techniques.  ...  Climate Change: A Data-driven Approach" (Award #1029711), the NSF-funded 2015 IS-GEO workshop (Award #1533930), and subsequent Research Collaboration Network (EarthCube RCN IS-GEO: Intelligent Systems  ... 
arXiv:1711.04708v1 fatcat:i7yjfka55fbn5biqcw7g2lafsa

Big Data: Survey, Technologies, Opportunities, and Challenges

Nawsher Khan, Ibrar Yaqoob, Ibrahim Abaker Targio Hashem, Zakira Inayat, Waleed Kamaleldin Mahmoud Ali, Muhammad Alam, Muhammad Shiraz, Abdullah Gani
2014 The Scientific World Journal  
However, the fast growth rate of such large data generates numerous challenges, such as the rapid growth of data, transfer speed, diverse data, and security.  ...  Future research directions in this field are determined based on opportunities and several open issues in Big Data domination.  ...  Data integrity is a particular challenge for large-scale collaborations, in which data changes frequently.  ... 
doi:10.1155/2014/712826 pmid:25136682 pmcid:PMC4127205 fatcat:o3qiqux7mjfxbkgxyrmoc2dana

Rethinking High Performance Computing Platforms: Challenges, Opportunities and Recommendations [article]

Ole Weidner, Malcolm Atkinson, Adam Barker, Rosa Filgueira
2017 arXiv   pre-print
These requirements are not met by the current production HPC platform models and policies. This results in a loss of opportunity, productivity and innovation for new computational methods and tools.  ...  It also decreases effective system utilization for platform providers due to unsupervised workarounds and rogue resource management strategies implemented in application space.  ...  Such computations are the only way of observing the deep earth and are critical in hazard estimation and responder support.  ... 
arXiv:1702.05513v2 fatcat:is7d2uvbyvbljp6xslrlkjgj6u
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