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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Bei Cui Xiaoyu Song Wude Yang Meichen Feng Jihua Wang |
| Copyright Year | 2014 |
| Description | Author affiliation: Beijing Res. Center for Inf. Technol. in Agric., Beijing Acad. of Agric. & Forestry Sci., Beijing, China (Bei Cui; Xiaoyu Song) || Inst. of Remote Sensing & Digital Earth, Sanya, China (Wude Yang; Meichen Feng) || Beijing Res. Center for Agric. Stand. & Testing, Beijing, China (Jihua Wang) |
| Abstract | In this paper, the spatial variation of winter wheat growth and soil nutrient were studied as the objects. Winter wheat growth spatial distribution is not homogeneity, and the Vari-700 index is the best vegetation index to represent winter wheat spatial distribution in heading stage. Winter wheat growth spatial heterogeneity is mainly affected by altitude and soil nitrate nitrogen content in the returning-green stage. Winter wheat grows well in high soil nitrogen content area, grows poor in low soil nitrogen content region. Crop growth is good in high terrain region, bad in low terrain. In addition, the growth of some crop is poor in high soil nitrogen content region because of the low terrain. |
| Sponsorship | IEEE Geosci. Remote Sens. Soc. |
| Starting Page | 2130 |
| Ending Page | 2133 |
| File Size | 392319 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781479957750 |
| DOI | 10.1109/IGARSS.2014.6946887 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-07-13 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Indexes Soil Agriculture Vegetation mapping Nitrogen Remote sensing Graphical models spatial variability Winter wheat growth remote sensing |
| Content Type | Text |
| Resource Type | Article |
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