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Biophysical remote sensing for food security Early Warning System in Central America : New approaches, new methodologies

Brown, M. E. LU ; Choularton, R. LU orcid ; Aguilar, G. L. and Pedreros, E. (2007) 32nd International Symposium on Remote Sensing of Environment: Sustainable Development Through Global Earth Observations p.447-450
Abstract

USAID's Meso-American Famine Early Warning System (MFEWS) supports activities to monitor and assess Central America's food availability and vulnerability to food insecurity as a result of natural disasters, droughts, and other hazards such as lower incomes resulting from a collapse in coffee prices. This paper will describe the opportunities and challenges of using remote sensing data for food security early warning in Central America. Remote sensing of rainfall, vegetation index, water requirement satisfaction index and topography are used together with livelihood zone mapping to assess the impact of weather related hazards.

Please use this url to cite or link to this publication:
author
; ; and
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Food security, MFEWS, NDVI, Rainfall, WRSI
host publication
Sustainable development thorough [i.e. through] global earth observations : 32nd International Symposium on Remote Sensing of Environment ; June 25 - 27, 2007, San Jose, Costa Rica ; proceedings ; [ISRSE 2007] - 32nd International Symposium on Remote Sensing of Environment ; June 25 - 27, 2007, San Jose, Costa Rica ; proceedings ; [ISRSE 2007]
pages
447 - 450
conference name
32nd International Symposium on Remote Sensing of Environment: Sustainable Development Through Global Earth Observations
conference location
San Jose, Costa Rica
conference dates
2007-06-25 - 2007-06-29
external identifiers
  • scopus:84880004989
ISBN
9780932913128
language
English
LU publication?
no
id
d16897cb-f53a-484d-baef-9f29ad850d8e
date added to LUP
2023-02-14 14:36:41
date last changed
2023-03-17 03:01:25
@inproceedings{d16897cb-f53a-484d-baef-9f29ad850d8e,
  abstract     = {{<p>USAID's Meso-American Famine Early Warning System (MFEWS) supports activities to monitor and assess Central America's food availability and vulnerability to food insecurity as a result of natural disasters, droughts, and other hazards such as lower incomes resulting from a collapse in coffee prices. This paper will describe the opportunities and challenges of using remote sensing data for food security early warning in Central America. Remote sensing of rainfall, vegetation index, water requirement satisfaction index and topography are used together with livelihood zone mapping to assess the impact of weather related hazards.</p>}},
  author       = {{Brown, M. E. and Choularton, R. and Aguilar, G. L. and Pedreros, E.}},
  booktitle    = {{Sustainable development thorough [i.e. through] global earth observations : 32nd International Symposium on Remote Sensing of Environment ; June 25 - 27, 2007, San Jose, Costa Rica ; proceedings ; [ISRSE 2007]}},
  isbn         = {{9780932913128}},
  keywords     = {{Food security; MFEWS; NDVI; Rainfall; WRSI}},
  language     = {{eng}},
  pages        = {{447--450}},
  title        = {{Biophysical remote sensing for food security Early Warning System in Central America : New approaches, new methodologies}},
  year         = {{2007}},
}