| The application of remote sensing technique to sandy desertification assessment based on MODIS data — Taking North Shaanxi as an example |
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| DOI：10.7606/j.issn.1000-7601.2008.02.31 |
| Key Words: sandy desertification assessment vegetation coverage vegetation index regress model |
| Author Name | Affiliation | | HUO Aidi | College of Environment and Resources Northwest A＆F University,Yangling, Shaanxi 712100,China | | ZHANG Guangjun | College of Environment and Resources Northwest A＆F University,Yangling, Shaanxi 712100,China | | WU Suli | College of Information Engineering Northwest A＆F University,Yangling, Shaanxi 712100,China | | YUE Man | College of Environment and Resources Northwest A＆F University,Yangling, Shaanxi 712100,China |
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| Abstract: |
| Making use of the MODIS data of the new generation satellite remote sensing and combining with inquisition data in the ground at the same time,we withdrew information about the vegetation coverage using the NDVI in May,2006.And then,we built the linear regress model and the ratings diagram of the sandy desertification evaluation in the north area of Shanxi Province.The results of our analysis shows that the ratings diagram has very strong coherence with the characteristics of the vegetation space changes in the north area of Shaanxi Province.Our research is built on the basis of the land surface research data and it provides an effective way of assessing sandy desertification of remote sensing technology. |
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