the objective of this study is evaluation of topographic wetness index (twi) using attraction model in northern of fars province. the first attraction model was used to enhance the spatial resolution of digital elevation model (dem). in this research to estimate of value of sub-pixels neighboring pixels, touching and quadrant neighboring models were used. after manufacturing output images for s...

A considerable portion of Canada’s landmass is covered by grassland ecosystems. Insight into the grassland spatial heterogeneity will not only contribute to better understanding of the scale dependent ecological processes but will also help in management and monitoring. Leaf area index (LAI) is a key structural attribute of grassland that reflects primary production. It is well-known that topog...

Abstract Information about catchment-scale groundwater dynamics is necessary to understand how catchments store and release water and why water quantity and quality varies in streams. However, groundwater level monitoring is often restricted to a limited number of sites. Knowledge of the factors that determine similarity between monitoring sites can be used to predict catchment-scale groundwate...

Relief relative to a local elevation maximum provided a strong indicator of inundation dynamics (i.e., hydroperiod), but was less useful for mapping wetland boundaries. Combining local relief and an Enhanced Topographic Wetness Index produced a map that was well suited for mapping wetland extent and hydroperiod. Wetlands mapped using aerial photographs or LiDAR-derived digital elevation models ...

The 46km Livingstone Creek Catchment in south-eastern Australia was flown with a passive microwave airborne remote sensor (Polarimetric L-band Multibeam Radiometer, PLMR) as part of the National Airborne Field Experiment in 2006 with a spatial resolution of ~ 200m. The catchment was experiencing extreme drought conditions leading up to the experiment and as a result ground cover in the catchmen...