An OpenStreetMap (OSM) landuse and landcover product (LULC) was published under osmlanduse.org. The product is based on the globally accessible OSM-data and the landuse classes orient themselves towards the legend of the Coordination of Information on the Environment (CORINE). Specific OSM tags are used to create classes in OSM LULC. The product is freely accessible and a first prototype for a ...

The U.S National Elevation Dataset and the NLCD 2001 landcover data were used to test the correlation between SRTM elevation values and the height of evergreen forest vegetation in the Klamath Mountains of California.Vegetation height estimates (SRTM-NED) are valid only for the two out of eight (N, NE, E, SE, S, SW, W, NW) geographic directions, due to NED and SRTM grid data misregistration. Pe...

Areal sample units are explored as an alternative to conventional point-based samples for map accuracy assessment. Three analyses are examined: confidence limits on estimates of the total amount of each landcover, regression of map data versus reference data, and a two-part confusion matrix approach. It is concluded that areal sample units provide some advantages compared to point-based samples...

An image dataset from the Landsat OLI spaceborne sensor is compared with the Landsat TM in order to evaluate the excellence of the new imagery in urban landcover classification. Widely known pixel-based and object-based image analysis methods have been implemented in this work like Maximum Likelihood, Support Vector Machine, k-Nearest Neighbor, Feature Analyst and Sub-pixel. Classification resu...

We present a range of exploratory methods at the intersection of geographical analysis and graph/network theory to investigate placement of Bronze age and Iron age hill forts in a landscape, utilising varying degrees of domain knowledge (expert/archaeologist). Techniques that we employ include: intervisibility/line-of-sight; visible area of hillforts; landcover and geomorphometrics; and network...

This work aims to parameterize the urban structure types (UST) in Santiago de Chile on statistical block level. In connotation of remote sensing UST are defined as land-use structure entities. Central input data for this object-oriented approach is spatially very high resolution panfused and atmospherically corrected Quickbird data. To analyse and assess the structural properties of urban landc...

Several dilemmas stand in the way of meeting the goals of visual resource management. The landscape is rich in potential qualities that can be assessed, but the choice of appropriate attributes is more difficult. What is readily measured is not necessarily what is most useful to examine. Furthermore, what is readily discernible from eyelevel photographs may not be readily available as mapped in...