The aim of th is research is to produce an urban land cover map ready to be used for planning and management. To extract the reliable information from the selected remote sensing (RS) data, a knowledge-based method based on a rule-based approach is constructed. The result of the knowledge-based technique is compared with the result of a standard maximum likelihood classification (MLC) method an...

In recent years, large scale land cover maps constructed from remotely sensed data have become important information sources for resource management. Classifiers are commonly used to predict land cover for unsampled map units; hence, they play a key role in map construction. Achieving adequate classifier accuracy is often problematic for highly variable and difficult-to-sample landscapes. This ...

the runoff generation and soil erosion in the kechik watershed, golestan province, was assessed, using a designed and constructed portable rainfall simulator. treatments were applied on different land-uses, slopes and aspects as the most influential factors. results showed that land-use significantly affected runoff generation (13.35 l, 6.9 l, and 4.12 l, respectively for agriculture, forest an...

Projections of land cover change generated from integrated assessment models (IAM) and other economic-based models can be applied for analyses of environmental impacts at sub-regional and landscape scales. For those IAM and economic models that project land cover change at the continental or regional scale, these projections must be downscaled and spatially distributed prior to use in climate o...

There is an emerging need to estimate and verify soil carbon credits attributed to conservation tillage and prairie restoration in the Midwestern U.S. for the developing global carbon market. However, current soil sampling strategies may need to be augmented by empirical modeling to minimize costs while covering larger regions. Models were constructed relating soil bulk density (BD) to soil org...

The feasibility of using vegetation greennessmetrics as a proxy for transpiration variability overAustralia is demonstrated. Several global evapotranspiration datasets, one of which provides transpiration data and is constructed independently of the vegetation greenness measurements, are compared to four satellite-based observations representative of the state of the vegetation over several reg...

Fuzzy spatial objects have become more and more important in GIS applications. When spatial phenomena are generalized by the crisp form, a lot of quantitative information is lost. Land cover as a fuzzy spatio-temporal object should be modeled in a fuzzy framework. In addition, topological relations between fuzzy spatial objects are much more complicated than that are defined between crisp spati...

The aim of this study is to discriminate urban land cover types using the features derived from optical and spaceborne interferometric synthetic aperture radar (InSAR) data sets. For the efficient discrimination of the selected classes, a rule-based algorithm that uses the initial image segmentation procedure based on a Mahalanobis distance rule and the constraints on spectral parameters and sp...

The market value of residential lot size and market response to increasing housing prices have become increasingly important as regional policy makers have sought to limit the size of urban areas. Using sales data on recently constructed homes in the Portland Metro area for the years 1996-97, we have examined the effect of lot size on the sales price of detached and attached single family homes...