Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Soil Erosion: Application of Physically Based Models |
| Herausgeber/-innen | Jürgen Schmidt |
| Erscheinungsort | Berlin Heidelberg |
| Seiten | 109 - 134 |
| ISBN (elektronisch) | 9783662042953 |
| Publikationsstatus | Veröffentlicht - 2000 |
Publikationsreihe
| Name | Environmental Science |
|---|
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A multiscale approach to predicting soil erosion on cropland using empirical and physically based soil erosion modells in a geographic informations system. / Wickenkamp, V.; Duttmann, Rainer; Mosimann, Thomas.
Soil Erosion: Application of Physically Based Models. Hrsg. / Jürgen Schmidt. Berlin Heidelberg, 2000. S. 109 - 134 (Environmental Science).
Soil Erosion: Application of Physically Based Models. Hrsg. / Jürgen Schmidt. Berlin Heidelberg, 2000. S. 109 - 134 (Environmental Science).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Beitrag in Buch/Sammelwerk › Forschung › Peer-Review
Wickenkamp, V, Duttmann, R & Mosimann, T 2000, A multiscale approach to predicting soil erosion on cropland using empirical and physically based soil erosion modells in a geographic informations system. in J Schmidt (Hrsg.), Soil Erosion: Application of Physically Based Models. Environmental Science, Berlin Heidelberg, S. 109 - 134. <https://link.springer.com/content/pdf/10.1007%2F978-3-662-04295-3.pdf>
Wickenkamp, V., Duttmann, R., & Mosimann, T. (2000). A multiscale approach to predicting soil erosion on cropland using empirical and physically based soil erosion modells in a geographic informations system. In J. Schmidt (Hrsg.), Soil Erosion: Application of Physically Based Models (S. 109 - 134). (Environmental Science).. https://link.springer.com/content/pdf/10.1007%2F978-3-662-04295-3.pdf
Wickenkamp V, Duttmann R, Mosimann T. A multiscale approach to predicting soil erosion on cropland using empirical and physically based soil erosion modells in a geographic informations system. in Schmidt J, Hrsg., Soil Erosion: Application of Physically Based Models. Berlin Heidelberg. 2000. S. 109 - 134. (Environmental Science).
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