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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lemoine, G.G. de Groof, H.Y. van Leeuwen, H.J.C. Bakker, J.G.M. |
| Copyright Year | 1995 |
| Description | Author affiliation: Synoptics, Wageningen, Netherlands (Lemoine, G.G.; de Groof, H.Y.) |
| Abstract | It is shown how information derived from multi-temporal ERS-1 SAR imagery acquired during the fall, winter and spring seasons can be incorporated in a land use assessment and monitoring scheme for agricultural areas in Europe. ERS-1 data analysis is supported by the (inverse) use of backscattering models, which permits the separation of soil moisture induced backscattering variation from backscattering change due to soil roughness transitions or changes in vegetation covers. Transitions in soil roughness are then used to delineate land preparation activities which relate to cropping practices in the next growing season. The classified off-season imagery is compared with the crop maps of the preceding and following growing seasons. Initial results for one of the MARS agricultural sample sites (Great Driffield, United Kingdom) are presented. |
| Starting Page | 1216 |
| Ending Page | 1218 |
| File Size | 406970 |
| Page Count | 3 |
| File Format | |
| ISBN | 0780325672 |
| DOI | 10.1109/IGARSS.1995.521188 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1995-07-10 |
| Publisher Place | Italy |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Crops Remote monitoring Backscatter Adaptive optics Optical sensors Instruments Springs Data analysis Soil moisture Vegetation mapping |
| Content Type | Text |
| Resource Type | Article |
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