| Titre | Identification of Agricultural Tillage Practices from C-Band Radar Backscatter |
| |
| Auteur | McNairn, H; Boisvert, J B; Major, D J; Gwyn, Q H J; Brown, R J; Smith, A M |
| Source | Canadian Journal of Remote Sensing vol. 22, no. 2, 1996 p. 154-162, https://doi.org/10.1080/07038992.1996.10874649 |
| Année | 1996 |
| Séries alt. | Secteur des sciences de la Terre, Contribution externe 20041554 |
| Éditeur | Informa UK Limited |
| Document | publication en série |
| Lang. | anglais |
| DOI | https://doi.org/10.1080/07038992.1996.10874649 |
| Media | papier; en ligne; numérique |
| Formats | pdf |
| Diffusé | 2014 07 31 |
| Résumé | (disponible en anglais seulement)
The Lethbridge Scatterometer Tillage Experiment was conducted to evaluate methodologies used in agricultural radar studies, to assess the separability of
tillage type based on roughness and backscatter, and to investigate the use of two incidence angles for resolving soil moisture and surface roughness contributions to total backscatter. Results from the experiment suggest that irrigation has a
significant smoothing effect on rougher surfaces and that radar look direction relative to tillage direction will be important in separating tillage types. C-band backscatter collected at incidence angles (?) of 4050° can be used to separate tillage
classes. Correlations between backscatter and surface parameters indicate that surface moisture (02.5 cm) can be accurately predicted at steep angles (?) = 20°) and that roughness (RMS) can be accurately predicted at shallow angles (? = 50°).
Including both surface roughness and soil moisture in a multiple regression model increases correlation coefficients. Using two multiple regression models with C-band backscatter collected at two incidence angles increases prediction accuracy for
roughness and moisture, although overall improvements are small. The results of this study are significant for the application of RADARSAT data for moisture and tillage mapping. |
| GEOSCAN ID | 218356 |
|
|