Geographic object based image analysis using very high spatial and temporal resolution radar and optical imagery in tracking water level fluctuations in a freshwater reservoir
Résumé
Tracking water level fluctuations is important to the study and management of waterbodies. A geographic object based image analysis using very high spatial and temporal radar interferometry (Cosmo Skymed and TerraSAR X) and optical (Pléiades) imagery is adopted in this study for this purpose. A linear regression model was sufficient to correlate the water surface area of a mildly sloping and unencumbered littoral zone spatial subset (extracted from 14 images) to water surface altitude data from the field. Results are excellent (R² = 0.963 and RMSE = 0.42 m for the unsupervised classification, with over 99% of land and water areas well classified for radar images and 78.91% for optical images) albeit limited by the need for field data and the presence of a mildly sloping and unencumbered littoral zone. Potential solutions to overcome this limitation are briefly discussed.
Origine : Fichiers éditeurs autorisés sur une archive ouverte