| Title | Identification of Agricultural Tillage Practices from C-Band Radar Backscatter |
| |
| Author | 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 |
| Year | 1996 |
| Alt Series | Earth Sciences Sector, Contribution Series 20041554 |
| Publisher | Informa UK Limited |
| Document | serial |
| Lang. | English |
| Media | paper; on-line; digital |
| File format | pdf |
| Released | 2014 07 31 |
| Abstract | 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 |
|
|