Uncertainty management in remote sensing of climate data :: summary of a workshop /
Great advances have been made in our understanding of the climate system over the past few decades, and remotely sensed data have played a key role in supporting many of these advances. Improvements in satellites and in computational and data-handling techniques have yielded high quality, readily ac...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Washington, D.C. :
National Academies Press,
2009.
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| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | Great advances have been made in our understanding of the climate system over the past few decades, and remotely sensed data have played a key role in supporting many of these advances. Improvements in satellites and in computational and data-handling techniques have yielded high quality, readily accessible data. However, rapid increases in data volume have also led to large and complex datasets that pose significant challenges in data analysis. Uncertainty characterization is needed for every satellite mission and scientists continue to be challenged by the need to reduce the uncertainty in remotely sensed climate records and projections. The approaches currently used to quantify the uncertainty in remotely sensed data lack an overall mathematically based framework. An additional challenge is characterizing uncertainty in ways that are useful to a broad spectrum of end-users. In December 2008, the National Academies held a workshop, summarized in this volume, to survey how statisticians, climate scientists, and remote sensing experts might address the challenges of uncertainty management in remote sensing of climate data. The workshop emphasized raising and discussing issues that could be studied more intently by individual researchers or teams of researchers, and setting the stage for possible future collaborative activities. |
| Beschreibung: | "Board on Atmospheric Sciences and Climate, Climate Research Committee, Board on Mathematical Sciences and Their Applications, Committee on Applied and Theoretical Statistics, Space Studies Board, Committee on Earth Studies, Division on Earth and Life Studies, Division on Engineering and Physical Sciences, National Research Council." |
| Beschreibung: | 1 online resource (xi, 52 pages) : color illustrations |
| Bibliographie: | Includes bibliographical references. |
| ISBN: | 9780309139595 0309139597 0309144752 9780309144759 |
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| 504 | |a Includes bibliographical references. | ||
| 505 | 0 | |a Introduction -- Cross-cutting issues -- Concluding thoughts. | |
| 588 | 0 | |a Print version record. | |
| 520 | |a Great advances have been made in our understanding of the climate system over the past few decades, and remotely sensed data have played a key role in supporting many of these advances. Improvements in satellites and in computational and data-handling techniques have yielded high quality, readily accessible data. However, rapid increases in data volume have also led to large and complex datasets that pose significant challenges in data analysis. Uncertainty characterization is needed for every satellite mission and scientists continue to be challenged by the need to reduce the uncertainty in remotely sensed climate records and projections. The approaches currently used to quantify the uncertainty in remotely sensed data lack an overall mathematically based framework. An additional challenge is characterizing uncertainty in ways that are useful to a broad spectrum of end-users. In December 2008, the National Academies held a workshop, summarized in this volume, to survey how statisticians, climate scientists, and remote sensing experts might address the challenges of uncertainty management in remote sensing of climate data. The workshop emphasized raising and discussing issues that could be studied more intently by individual researchers or teams of researchers, and setting the stage for possible future collaborative activities. | ||
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| publishDate | 2009 |
| publishDateSearch | 2009 |
| publishDateSort | 2009 |
| publisher | National Academies Press, |
| record_format | marc |
| spelling | McConnell, Martha Clarke. http://id.loc.gov/authorities/names/no2009071678 Uncertainty management in remote sensing of climate data : summary of a workshop / Martha McConnell and Scott Weidman, rapporteurs. Washington, D.C. : National Academies Press, 2009. 1 online resource (xi, 52 pages) : color illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier "Board on Atmospheric Sciences and Climate, Climate Research Committee, Board on Mathematical Sciences and Their Applications, Committee on Applied and Theoretical Statistics, Space Studies Board, Committee on Earth Studies, Division on Earth and Life Studies, Division on Engineering and Physical Sciences, National Research Council." Includes bibliographical references. Introduction -- Cross-cutting issues -- Concluding thoughts. Print version record. Great advances have been made in our understanding of the climate system over the past few decades, and remotely sensed data have played a key role in supporting many of these advances. Improvements in satellites and in computational and data-handling techniques have yielded high quality, readily accessible data. However, rapid increases in data volume have also led to large and complex datasets that pose significant challenges in data analysis. Uncertainty characterization is needed for every satellite mission and scientists continue to be challenged by the need to reduce the uncertainty in remotely sensed climate records and projections. The approaches currently used to quantify the uncertainty in remotely sensed data lack an overall mathematically based framework. An additional challenge is characterizing uncertainty in ways that are useful to a broad spectrum of end-users. In December 2008, the National Academies held a workshop, summarized in this volume, to survey how statisticians, climate scientists, and remote sensing experts might address the challenges of uncertainty management in remote sensing of climate data. The workshop emphasized raising and discussing issues that could be studied more intently by individual researchers or teams of researchers, and setting the stage for possible future collaborative activities. English. Satellite meteorology United States Data processing Congresses. Climatic changes United States Remote sensing Data processing Congresses. Climatic changes United States Data processing Management Congresses. Météorologie par satellite États-Unis Informatique Congrès. Climat Changements États-Unis Télédétection Informatique Congrès. Climat Changements États-Unis Informatique Gestion Congrès. TECHNOLOGY & ENGINEERING Environmental Pollution Control. bisacsh Satellite meteorology Data processing fast United States fast https://id.oclc.org/worldcat/entity/E39PBJtxgQXMWqmjMjjwXRHgrq Conference papers and proceedings fast has work: Uncertainty management in remote sensing of climate data (Text) https://id.oclc.org/worldcat/entity/E39PCGPm3xthF3htjb8jwtvF4y https://id.oclc.org/worldcat/ontology/hasWork Print version: McConnell, Martha Clarke. Uncertainty management in remote sensing of climate data. Washington, D.C. : National Academies Press, 2009 0309139589 (DLC) 2010277158 (OCoLC)436975370 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=294729 Volltext |
| spellingShingle | McConnell, Martha Clarke Uncertainty management in remote sensing of climate data : summary of a workshop / Introduction -- Cross-cutting issues -- Concluding thoughts. Satellite meteorology United States Data processing Congresses. Climatic changes United States Remote sensing Data processing Congresses. Climatic changes United States Data processing Management Congresses. Météorologie par satellite États-Unis Informatique Congrès. Climat Changements États-Unis Télédétection Informatique Congrès. Climat Changements États-Unis Informatique Gestion Congrès. TECHNOLOGY & ENGINEERING Environmental Pollution Control. bisacsh Satellite meteorology Data processing fast |
| title | Uncertainty management in remote sensing of climate data : summary of a workshop / |
| title_auth | Uncertainty management in remote sensing of climate data : summary of a workshop / |
| title_exact_search | Uncertainty management in remote sensing of climate data : summary of a workshop / |
| title_full | Uncertainty management in remote sensing of climate data : summary of a workshop / Martha McConnell and Scott Weidman, rapporteurs. |
| title_fullStr | Uncertainty management in remote sensing of climate data : summary of a workshop / Martha McConnell and Scott Weidman, rapporteurs. |
| title_full_unstemmed | Uncertainty management in remote sensing of climate data : summary of a workshop / Martha McConnell and Scott Weidman, rapporteurs. |
| title_short | Uncertainty management in remote sensing of climate data : |
| title_sort | uncertainty management in remote sensing of climate data summary of a workshop |
| title_sub | summary of a workshop / |
| topic | Satellite meteorology United States Data processing Congresses. Climatic changes United States Remote sensing Data processing Congresses. Climatic changes United States Data processing Management Congresses. Météorologie par satellite États-Unis Informatique Congrès. Climat Changements États-Unis Télédétection Informatique Congrès. Climat Changements États-Unis Informatique Gestion Congrès. TECHNOLOGY & ENGINEERING Environmental Pollution Control. bisacsh Satellite meteorology Data processing fast |
| topic_facet | Satellite meteorology United States Data processing Congresses. Climatic changes United States Remote sensing Data processing Congresses. Climatic changes United States Data processing Management Congresses. Météorologie par satellite États-Unis Informatique Congrès. Climat Changements États-Unis Télédétection Informatique Congrès. Climat Changements États-Unis Informatique Gestion Congrès. TECHNOLOGY & ENGINEERING Environmental Pollution Control. Satellite meteorology Data processing United States Conference papers and proceedings |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=294729 |
| work_keys_str_mv | AT mcconnellmarthaclarke uncertaintymanagementinremotesensingofclimatedatasummaryofaworkshop |