Title | Mapping and monitoring flooded vegetation and soil moisture using simulated compact polarimetry |
| |
Author | White, L; Landon, A; Dabboor, M; Pratt, A; Brisco, B |
Source | Proceedings, IGARSS 2014 and 35th Canadian Symposium of Remote Sensing; 2014 p. 1568-1571, https://doi.org/10.1109/IGARSS.2014.6946739 |
Image |  |
Year | 2014 |
Alt Series | Earth Sciences Sector, Contribution Series 20140254 |
Publisher | IEEE |
Meeting | IGARSS 2014 and 35th Canadian Symposium of Remote Sensing; Québec, QC; CA; July 13-18, 2014 |
Document | book |
Lang. | English |
Media | paper; on-line; digital |
File format | pdf |
Subjects | environmental geology; geophysics; floods; wetlands; sediments; vegetation; radar imagery; radar methods; satellite imagery; remote sensing; modelling; soils; soil moisture; mapping techniques; Land
cover |
Illustrations | tables; satellite images |
Program | Remote Sensing Science |
Released | 2014 07 01 |
Abstract | This paper shows that the m-chi decomposition, the Shannon-Entropy model and the Wishart-Chernoff distance can be used to map and monitor wetlands. Areas which changed from flooded vegetation to
non-flooded vegetation were accurately mapped using the m-chi decomposition, and areas that changed from saturated soil to unsaturated soil were visible with the Shannon-Entropy model. In addition, the Wishart-Chernoff distance was able to map
wetland areas which had changed to a different land cover type over time. |
Summary | (Plain Language Summary, not published) Wetlands are one of Canada's most important resources. They provide food and shelter for a variety of wildlife, help offset hydrological events like
floods and act as a filter for sediments and toxins. Flooded vegetation and soil moisture are two important components of a wetland. This study reports on the potential of a new and innovative mode which will be available on Canada's future RADARSAT
Constellation Mission - specifically, compact polarimetry (CP) - to map and monitor flooded vegetation and soil moisture changes within wetlands. Three different models were applied to simulated CP data over a test site. The first was able to
accurately map changes from flooded vegetation to non-flooded vegetation, the second was able to map wetland boundaries (saturated soil), while the third model proved promising as an initial identification of areas of high change within wetlands. A
synergistic approach using all three models has utility for the mapping and monitoring of wetlands. |
GEOSCAN ID | 295452 |
|
|