作者: Thomas L. Millette , Brittina A. Argow , Eugenio Marcano , Chris Hayward , Charles S. Hopkinson
DOI: 10.2112/JCOASTRES-D-09-00101.1
关键词: Remote sensing 、 Geology 、 Marsh 、 Multispectral image 、 Lidar 、 Elevation 、 Multispectral pattern recognition 、 Salt marsh 、 Watershed 、 Wetland
摘要: Abstract Ecogeomorphological modeling in salt marshes faces distinct challenges due to tidal oscillation and variability, fieldwork logistics, the inherent dynamic nature of these environments. Recently developed technologies methods introduce capability create fine-scale, system-wide databases quantitatively characterize marsh geomorphology support improved understanding evolution intertidal systems. This study combines use 20-cm AIMS-1 multispectral imagery flown at spring high low tides with a LIDAR–derived digital elevation mode (DEM) New England estuarine system quantify relationships among features, their metrics, elevations, datums. The used features across an watershed its entirety represent significant advance future development process-driven models explain observations. Geomorphological analyses distribution Great Marsh, Massachu...