Show simple item record

contributor authorKogan, Felix N.
date accessioned2017-06-09T14:43:07Z
date available2017-06-09T14:43:07Z
date copyright2001/09/01
date issued2001
identifier issn0003-0007
identifier otherams-25138.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4161888
description abstractThe main goal of global agriculture and the grain sector is to feed 6 billion people. Frequent droughts causing grain shortages, economic disturbances, famine, and losses of life limit the ability to fulfill this goal. To mitigate drought consequences requires a sound early warning system. The National Oceanic and Atmospheric Administration (NOAA) has recently developed a new numerical method of drought detection and impact assessment from the NOAA operational environmental satellites. The method was tested during the past eight years, adjusted based on users' responses, validated against conventional data in 20 countries, including all major agricultural producers, and was accepted as a tool for the diagnosis of grain production. Now, drought can be detected 4?6 weeks earlier than before, outlined more accurately, and the impact on grain reduction can be predicted long in advance of harvest, which is most vital for global food security and trade. This paper addresses all these issues and also discusses ENSO impacts on agriculture.
publisherAmerican Meteorological Society
titleOperational Space Technology for Global Vegetation Assessment
typeJournal Paper
journal volume82
journal issue9
journal titleBulletin of the American Meteorological Society
identifier doi10.1175/1520-0477(2001)082<1949:OSTFGV>2.3.CO;2
journal fristpage1949
journal lastpage1964
treeBulletin of the American Meteorological Society:;2001:;volume( 082 ):;issue: 009
contenttypeFulltext


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record