Identifying spatial variability and complexity in wetland vegetation using an object-based approach

Identifying spatial variability of groundwater discharge in a wetland stream using a distributed temperature sensor

[1] Discrete zones of groundwater discharge in a stream within a peat-dominated wetland were identified on the basis of variations in streambed temperature using a distributed temperature sensor (DTS). The DTS gives measurements of the spatial (±1 m) and temporal (15 min) variation of streambed temperature over a much larger reach of stream (>800 m) than previous methods. Isolated temperature a...

Tidal Wetland Classification from Landsat Imagery Using an Integrated Pixel-based and Object-based Classification Approach

The tidal wetlands within the Long Island Sound estuary serve a critical role in maintaining the health of the Sound. Over the past two centuries, there has been significant disturbance and loss of tidal wetlands along the Sound due primarily to anthropogenic activities. Researchers at the University of Connecticut and Wesleyan University are continuing on the second year of a two year project ...

an investigation of accuracy and complexity across different proficiency levels in written narrative task

abstract this quasi-experimental study was aimed at examining the impact of storyline complexity on the grammatical accuracy and complexity of advanced and intermediate efl learners. a total of 65 advanced and intermediate efl learners were selected from iran language institute (ili). an intact group including 35 intermediate participants and another intact group with 30 advanced participants ...

Object-based spatial classification of forest vegetation with IKONOS imagery

Object-based image analysis (OBIA) is employed to classify forest types, including deciduous, evergreen and mixed forests, in a U.S. National Park unit using very high spatial resolution (VHR) IKONOS satellite imagery. This research investigates the effect of scale on segmentation quality and object-based forest type classification. Average local variance and spatial autocorrelation analyses ar...

Factors Affecting Spatial Variation of Classification Uncertainty in an Image Object-based Vegetation Mapping