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 language | English (US) |
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Title of host publication | Remote Sensing of Drought |
Subtitle of host publication | Innovative Monitoring Approaches |
Publisher | CRC Press |
Pages | 75-94 |
Number of pages | 20 |
ISBN (Electronic) | 9781439835609 |
ISBN (Print) | 9781439835579 |
DOIs | |
State | Published - Jan 1 2012 |
ASJC Scopus subject areas
- Environmental Science(all)
- Engineering(all)
- Agricultural and Biological Sciences(all)
- Earth and Planetary Sciences(all)