Modeling floodplain inundation using an integrated GIS with radar and optical remote sensing
Crue ; Dynamique de la végétation ; Ecologie ; Etats-Unis ; Inondation ; LANDSAT ; Milieu humide ; Modèle ; North Carolina ; Plaine d'inondation ; Statistique ; Système d'information géographique ; Thematic Mapper ; Télédétection ; Végétation
Ecology ; Flood ; Floodplain ; Geographical information system ; Humid environment ; Inundation ; LANDSAT ; Model ; North Carolina ; Remote sensing ; Statistics ; Thematic Mapper ; United States of America ; Vegetation ; Vegetation dynamics
The AA. evaluated the ability of radar and optical Landsat TM image time-series to detect flooding within a forested wetland during a typical phenological cycle within the Roanoke River floodplain, North Carolina. Several models representing
potential wetness and potential flood inundation were generated from the digital elevation model using both raster (grid) and vector (network) analyses. Ultimately, the analyses allow the development of an optimal hydroperiod regime model using DEM-based
Biogeography ; Conifer ; Ecotone ; Forest ; Geographical information system ; Habitat ; Model ; Montana ; Mountain ; National park ; Periglacial features ; Remote sensing ; Tundra ; United States of America
, integration, and cartographic modeling techniques used in an Integrated Geographic Information System (IGIS) approach to model alpine periglacial environments in Glacier National Park, Montana.
Automated mapping ; Classification ; Esker ; Fluvioglacial features ; Geomorphometry ; Glacial features ; Kame ; Michigan ; Model ; Moraine ; Numerical model ; United States of America
) derived from digital elevation models (DEMs) to differentiate glaciated landscapes using maximum likelihood classification and artificial neural networks (ANN). The automated methods were trained and validated using an existing Quaternary geology map