Titre | Detecting emergence, growth, and senescence of wetland vegetation with polarimetric synthetic aperture radar (SAR) data |
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Auteur | Gallant, A L; Kaya, S G; White, L; Brisco, B; Roth, M F; Sadinski, W; Rover, J |
Source | Water vol. 6, no. 3, 2014 p. 694-722, https://doi.org/10.3390/w6030694 Accès ouvert |
Année | 2014 |
Séries alt. | Ressources naturelles Canada, Contribution externe 20181830 |
Éditeur | MDPI AG |
Document | publication en série |
Lang. | anglais |
DOI | https://doi.org/10.3390/w6030694 |
Media | papier; en ligne; numérique |
Formats | pdf |
Sujets | télédétection; géophysique |
Programme | Géosciences de changements climatiques |
Diffusé | 2014 03 24 |
Résumé | (disponible en anglais seulement) Wetlands provide ecosystem goods and services vitally important to humans. Land managers and policymakers working to conserve wetlands require regularly updated
information on the statuses of wetlands across the landscape. However, wetlands are challenging to map remotely with high accuracy and consistency. We investigated the use of multitemporal polarimetric synthetic aperture radar (SAR) data acquired
with Canada's Radarsat-2 system to track within-season changes in wetland vegetation and surface water. We speculated, a priori, how temporal and morphological traits of different types of wetland vegetation should respond over a growing season with
respect to four energy-scattering mechanisms. We used ground-based monitoring data and other ancillary information to assess the limits and consistency of the SAR data for tracking seasonal changes in wetlands. We found the traits of different types
of vertical emergent wetland vegetation were detected well with the SAR data and corresponded with our anticipated backscatter responses. We also found using data from Landsat's optical/infrared sensors in conjunction with SAR data helped remove
confusion of wetland features with upland grasslands. These results suggest SAR data can provide useful monitoring information on the statuses of wetlands over time. © 2014 by the authors. |
GEOSCAN ID | 312185 |
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