Vegetation outlook (vegout): Predicting remote sensing-based seasonal greenness

Research output: Chapter in Book/Report/Conference proceedingChapter

3 Scopus citations

Abstract

Accurate and timely prediction of vegetation conditions enhances knowledge-based decision making for drought planning, mitigation, and response. This is very important in countries that are highly dependent on rainfed agriculture. For example, studies show that remote sensing-based observations and vegetation condition prediction have great potential for estimating crop yields (Verdin and Klaver, 2002; Ji and Peters, 2003; Seaquist et al., 2005; Tadesse et al., 2005a, 2008; Funk and Brown, 2006).

Original languageEnglish (US)
Title of host publicationRemote Sensing of Drought
Subtitle of host publicationInnovative Monitoring Approaches
PublisherCRC Press
Pages75-94
Number of pages20
ISBN (Electronic)9781439835609
ISBN (Print)9781439835579
DOIs
StatePublished - Jan 1 2012

ASJC Scopus subject areas

  • Environmental Science(all)
  • Engineering(all)
  • Agricultural and Biological Sciences(all)
  • Earth and Planetary Sciences(all)

Fingerprint

Dive into the research topics of 'Vegetation outlook (vegout): Predicting remote sensing-based seasonal greenness'. Together they form a unique fingerprint.

Cite this