National Academies Press: OpenBook

Contributions of Land Remote Sensing for Decisions About Food Security and Human Health: Workshop Report (2007)

Chapter: Appendix B Bibliography of Resources—Integration of Disparate Data

« Previous: Appendix A Acronyms and Abbreviations
Suggested Citation:"Appendix B Bibliography of Resources—Integration of Disparate Data." National Research Council. 2007. Contributions of Land Remote Sensing for Decisions About Food Security and Human Health: Workshop Report. Washington, DC: The National Academies Press. doi: 10.17226/11759.
×

APPENDIX B
Bibliography of Resources—Integration of Disparate Data

Balk, D., and G. Yetman. 2004. The Global Distribution of Population: Evaluating the gains in resolution refinement. 10 February. CIESIN, Columbia University, N.Y. Available online at http://sedac.ciesin.columbia.edu/gpw/docs/gpw3_documentation_final.pdf.


Authors and researchers at the Center for International Earth Science Information Network (CIESIN) describe improvements to the Gridded Population of the World (GPW) data set and developments in rendering global population data sets at scales that can be used for broad-scale population-environment inquiries. The paper focuses mostly on the GPW and its improvements over the last 10+ years, particularly on increasing spatial resolution improvements. The authors note some barriers to improving data, including war, redistricting (former Soviet republics), and pricing policies for data. Overall, however, barriers to data collection and processing have decreased due to technological capacity and the greater interest in census taking and map making. These improvements will help with greater data integration.


CIESIN (Center for International Earth Science Information Network). 2005. Global Spatial Data and Information: Development, Dissemination, and Use. Report of a Workshop, 21-23 September. Columbia University, N.Y. Available online at http://sedac.ciesin.columbia.edu/GSDworkshop/GlobalDataWorkshop_report_web.pdf.

Suggested Citation:"Appendix B Bibliography of Resources—Integration of Disparate Data." National Research Council. 2007. Contributions of Land Remote Sensing for Decisions About Food Security and Human Health: Workshop Report. Washington, DC: The National Academies Press. doi: 10.17226/11759.
×

The report is a summary of workshop presentations on global spatial data and information use conducted at CIESIN, Columbia University, in September 2004. Topical areas include technical data interoperability and science data integration.


de Sherbinin, A., D. Balk, K. Yager, M. Jaiteh, F. Pozzi, C. Giri, and A. Wannebo. 2002. Social Science Applications of Remote Sensing: A CIESIN Thematic Guide. Columbia University, N.Y. Available online at http://sedac.ciesin.columbia.edu/tg/guide_main.jsp.


This is an introductory remote sensing usage guide for social scientists. Key methodological concerns arise when integrating remote sensing data with socioeconomic data—with methods such as “gridding” socioeconomic data to better correspond with Earth science data or taking Earth science data and converting data to tabular formats that are useful for social scientists. The technical specifications of various remote sensing instruments are listed in a table together with descriptions of what the sensors detect. Challenges in applying remote sensing data in the social sciences include difficulties with scale, data integration, interdisciplinary research, and confidentiality.


Dilley, M., R.S. Chen, U. Deichmann, A.L. Lerner-Lam, and M. Arnold. 2005. Natural Disaster Hotspots: A Global Risk Analysis. Washington, DC: World Bank Group.


Natural Disaster Hotspots presents a global view of major natural disaster risk hotspots: areas at relatively high risk of loss from one or more natural hazards. It summarizes the results of an interdisciplinary analysis of the location and characteristics of hotspots for six natural hazards: earthquakes, volcanoes, landslides, floods, drought, and cyclones. Data on these hazards are combined with state-of-the-art data on the subnational distribution of population and economic output and past disaster losses to identify areas at relatively high risk from one or more hazards. (Annotation from http://publications.worldbank.org/.)


NRC (National Research Council). 1998. People and Pixels: Linking Remote Sensing and Social Science. Washington, DC: National Academy Press.


This report discusses the linkage between remote sensing and the social sciences, using examples from the Amazon, Thailand, and Guatemala, as well as an example of how data can be used in early famine warnings,

Suggested Citation:"Appendix B Bibliography of Resources—Integration of Disparate Data." National Research Council. 2007. Contributions of Land Remote Sensing for Decisions About Food Security and Human Health: Workshop Report. Washington, DC: The National Academies Press. doi: 10.17226/11759.
×

climate modeling, and health applications. The report discusses some challenges in linking the two fields.


NRC. 2002. Down to Earth: Geographical Information for Sustainable Development in Africa. Washington, DC: National Academy Press.


This report summarizes the importance and applicability of geographic data for sustainable development. Geographic data describe spatial variations across the landscape at a variety of scales (local, national, global) and include such elements as climate, elevation, soil, vegetation, population, land use, and economic activity. The report draws on experiences in African countries and examines how future sources and applications of geographic data could provide reliable support to decision makers as they work toward sustainable development. The committee emphasizes the potential of new technologies, such as satellite remote sensing systems and geographic information systems (GIS), that have revolutionized data collection and analysis over the last decade. There is some discussion of data integration between the social sciences and satellite imagery.


Pelling, M., A. Maskrey, P. Ruiz, and L. Hall, eds. 2004. Reducing Disaster Risk: A Challenge for Development. New York, NY: United Nations Development Programme.


The Disaster Risk Index (DRI) measures the vulnerability of countries to three natural hazards (earthquakes, tropical cyclones, and floods), identifies the development factors that contribute to risk, and shows quantitatively how the effects of disaster can be either reduced or exacerbated by policy choices. There is little discussion of technical issues that arise from integrating disparate data types.


Rindfuss, R.R., S.J. Walsh, B.L. Turner, J. Fox, and V. Mishra. 2004. Developing a science of land change: Challenges and methodological issues. Proceedings of the National Academy of Sciences of the United States of America 101(39):13976-13981.


Land-change science (LCS) is hindered by a number of methodological and analytical difficulties that emerge from the integration of “space-time patterns” and “social-biophysical processes” and the different ways in which the two disciplines address them. Problems include aggregation and inference problems, land use pixel links, data and measurement, and remote sensing analysis. Examples are (1) linking land and pixels: how research is started, with land samples (parcels) or people—each starting point can lead to problems that have different solutions, (2) data quality

Suggested Citation:"Appendix B Bibliography of Resources—Integration of Disparate Data." National Research Council. 2007. Contributions of Land Remote Sensing for Decisions About Food Security and Human Health: Workshop Report. Washington, DC: The National Academies Press. doi: 10.17226/11759.
×

and validation: the validity and accuracy of the link between social science and land units and pixels, (3) spatial-temporal mismatch: matching spatial-temporal resolution of sensor systems with the resolutions of the social or biophysical data. Other issues addressed in this paper include classification and the use of ancillary data, spatial autocorrelation, and accuracy assessment of land change models.

Suggested Citation:"Appendix B Bibliography of Resources—Integration of Disparate Data." National Research Council. 2007. Contributions of Land Remote Sensing for Decisions About Food Security and Human Health: Workshop Report. Washington, DC: The National Academies Press. doi: 10.17226/11759.
×
Page 49
Suggested Citation:"Appendix B Bibliography of Resources—Integration of Disparate Data." National Research Council. 2007. Contributions of Land Remote Sensing for Decisions About Food Security and Human Health: Workshop Report. Washington, DC: The National Academies Press. doi: 10.17226/11759.
×
Page 50
Suggested Citation:"Appendix B Bibliography of Resources—Integration of Disparate Data." National Research Council. 2007. Contributions of Land Remote Sensing for Decisions About Food Security and Human Health: Workshop Report. Washington, DC: The National Academies Press. doi: 10.17226/11759.
×
Page 51
Suggested Citation:"Appendix B Bibliography of Resources—Integration of Disparate Data." National Research Council. 2007. Contributions of Land Remote Sensing for Decisions About Food Security and Human Health: Workshop Report. Washington, DC: The National Academies Press. doi: 10.17226/11759.
×
Page 52
Next: Appendix C Examples of FEWS NET Products »
Contributions of Land Remote Sensing for Decisions About Food Security and Human Health: Workshop Report Get This Book
×
Buy Paperback | $41.00 Buy Ebook | $32.99
MyNAP members save 10% online.
Login or Register to save!
Download Free PDF

Land remote sensing: the use of space-based satellite technologies to obtain information on environmental variables such as land-use and land-covering combination with other types of data can provide information on changes in the Earth's surface and atmosphere that are critical for forecasting and responding to human welfare issues, such as disease outbreaks, food shortages, and floods.

This book summarizes a workshop on the potential contributions of remotely sensed data to land-use and land-cover change and ways to use physical, biological, temporal, and social characteristics of particular locations to support decisions about human welfare. The discussions focused on human health and food security, two aspects of human welfare in which remotely-sensed environmental conditions play a key role. Examples illustrating the possibilities for applying remote sensing for societal benefit are included throughout the report. As a result of the workshop, three themes were identified that, if fostered, could help realize the potential for the application of land remote sensing to decisions about human welfare: (1) integration of spatial data on environmental conditions derived from remote sensing with socioeconomic data; (2) communication between remote sensing scientists and decision makers to determine effective use of land remote sensing data for human welfare issues; and (3) acquisition and access to long-term environmental data and development of capacity to interpret these data.

  1. ×

    Welcome to OpenBook!

    You're looking at OpenBook, NAP.edu's online reading room since 1999. Based on feedback from you, our users, we've made some improvements that make it easier than ever to read thousands of publications on our website.

    Do you want to take a quick tour of the OpenBook's features?

    No Thanks Take a Tour »
  2. ×

    Show this book's table of contents, where you can jump to any chapter by name.

    « Back Next »
  3. ×

    ...or use these buttons to go back to the previous chapter or skip to the next one.

    « Back Next »
  4. ×

    Jump up to the previous page or down to the next one. Also, you can type in a page number and press Enter to go directly to that page in the book.

    « Back Next »
  5. ×

    Switch between the Original Pages, where you can read the report as it appeared in print, and Text Pages for the web version, where you can highlight and search the text.

    « Back Next »
  6. ×

    To search the entire text of this book, type in your search term here and press Enter.

    « Back Next »
  7. ×

    Share a link to this book page on your preferred social network or via email.

    « Back Next »
  8. ×

    View our suggested citation for this chapter.

    « Back Next »
  9. ×

    Ready to take your reading offline? Click here to buy this book in print or download it as a free PDF, if available.

    « Back Next »
Stay Connected!