| Titre | Use of Radarsat-2 ultra-fine images in horticultureintensive farming: Land use detection and crop discrimination |
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| Auteur | Cotlier, C; Brisco, B; Mondino, M C; Grasso, R; Vicioso, B; López, D A G; Cornero, C; Balparda, L R |
| Source | Canadian Journal of Remote Sensing vol. 37, no. 1, 2011 p. 37-44, https://doi.org/10.5589/m11-019 |
| Année | 2011 |
| Séries alt. | Ressources naturelles Canada, Contribution externe 20181603 |
| Éditeur | Informa UK Limited |
| Document | publication en série |
| Lang. | anglais |
| DOI | https://doi.org/10.5589/m11-019 |
| Media | papier; en ligne; numérique |
| Formats | pdf |
| Sujets | télédétection; Plante; géophysique; Nature et environnement |
| Programme | Géosciences de changements climatiques |
| Diffusé | 2014 06 02 |
| Résumé | (disponible en anglais seulement)
Horticulture is the study of herbaceous plants destined for human consumption that can be consumed with or without industrial processes. Because of the growing
pattern of horticulture crops, remote sensing is a useful tool to monitor their seasonal production. The use of all-weather synthetic aperture radar (SAR) images allows global monitoring of these crops. Radar high-resolution satellite imagery is
preferred because it is less expensive and more convenient than airborne imagery. The new Radarsat-2 platform with an ultra-fine beam 3 m resolution mode offers new possibilities in land use detection and land cover crop discrimination for plots of
one acre or less. This study reviews the use of Radarsat-2 images and compares ultra-fine beam and quad-polarized Radarsat-2 imagery to evaluate the effectiveness of the ultra-fine mode versus the quad-polarized mode for small-plot crop
discrimination. © 2011 CASI. |
| GEOSCAN ID | 311958 |
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