© 2008

Famine Early Warning Systems and Remote Sensing Data


Table of contents

  1. Front Matter
    Pages I-XVIII
  2. Background

    1. Front Matter
      Pages 1-1
    2. Molly E. Brown
      Pages 3-21
    3. Molly E Brown
      Pages 23-39
    4. Molly E Brown
      Pages 41-61
  3. Remote Sensing for Early Warning

    1. Front Matter
      Pages 63-63
    2. Molly E Brown
      Pages 65-81
    3. Molly E Brown
      Pages 97-118
    4. Pages 119-132
  4. Food Security Analysis

    1. Front Matter
      Pages 133-133
    2. Molly E Brown
      Pages 135-155
    3. Molly E Brown
      Pages 157-172
    4. Molly E Brown
      Pages 189-202
    5. Molly E Brown
      Pages 203-220
    6. Molly E Brown
      Pages 221-235
  5. Case Studies

About this book


This book describes the interdisciplinary work of USAID’s Famine Early Warning System Network (FEWS NET) and its in uence on how food security crises are identi ed, documented and the kind of responses that result. The book describes FEWS NET’s systems and methods for using satellite remote sensing to identify and describe how biophysical hazards impact the lives and livelihoods of the po- lation where they occur. It presents several illustrative case studies that will dem- strate the integration of both physical and social science disciplines in its work. FEWS NET’s operational needs have driven science in biophysical remote sensing applications through its collaboration with the US Geological Survey, the National Aeronautics and Space Administration, National Oceanographic and Atmospheric Administration, and US Department of Agriculture, as well as methodologies in the social science domain through its support of the US Agency for International - velopment, UN World Food Program and numerous international non-governmental organizations such as Save the Children, Oxfam and others. Because FEWS NET is an organization that must provide a global picture of food insecurity to decision makers, the information it relies on are by necessity - servable and able to be documented. Thus many aspects of traditional livelihood analysis, for example, cannot be used by FEWS NET as they rely upon relati- ships, and ways of expressing power and knowledge at the local scale that cannot be easily scaled up to express variations in access to food at a community level.


decision support development early warning food aid food security organization remote sensing

Authors and affiliations

  1. 1.OaktonUSA

About the authors

Molly E. Brown received a master’s of arts degree in 1998 and a doctor of philosophy in the summer of 2002 from the Department of Geography, University of Maryland at College Park. She has worked with the GIMMS group at NASA’s Goddard Space Flight Center since 1997, primarily on developing and using a stable, 25-year, 8km vegetation record from the NOAA-AVHRR series of instruments. Using these satellite data to investigate questions of climate, land use, and human-environmental interaction has been the main focus of her work.

Bibliographic information