This paper describes the characteristics of a neural network image interpretation system that is designed to extract both rural land cover and urban land use from high spatial resolution imagery (e.g., digitized aerial photography, IKONOS imagery) and/or from relatively coarse spatial and spectral resolution remote sensor data (e.g., Landsat Thematic Mapper). The system consists of modules that...

Soil organic carbon has been the most important soil quality measurement factors and has intense relation with soil physical, chemical and biological characteristics. Organic matter and its components are important factors of soil aggregates constitution and stability and play significant role in its structure.So, this research has been done for achieving this purpose. This area is arounding sa...

objective: soil organic carbon has been the most important soil quality measurement factors and has intense relation with soil physical, chemical and biological characteristics. organic matter and its components are important factors of soil aggregates constitution and stability and play significant role in its structure. so, this research has been done for achieving this purpose. methods: this...

Soil organic carbon has been the most important soil quality measurement factors and has intense relation with soil physical, chemical and biological characteristics. Organic matter and its components are important factors of soil aggregates constitution and stability and play significant role in its structure.So, this research has been done for achieving this purpose. This area is arounding sa...

Objective: Soil organic carbon has been the most important soil quality measurement factors and has intense relation with soil physical, chemical and biological characteristics. Organic matter and its components are important factors of soil aggregates constitution and stability and play significant role in its structure. So, this research has been done for achieving this purpose. Methods: This...

Aerodynamic roughness length 0 ) and displacement height 0 ) are important surface parameters for estimating surface fluxes in numerical models. These parameters are generally determined from wind flow characteristics using logarithmic wind profiles measured at a meteorological tower or by balloon release. It would be an advantage to use measurements of land surface characteristics instead of w...

Most studies on urban land values focus on the determinants, using hedonic land price models with the consideration of the physical and socio-economic factors. This article employs geostatistical methods to analyze urban land values. Through a case study of Milwaukee, we set up semivariogram models and 3-D TIN surface models for urban land values, and explore anisotropy characteristics and the ...

We propose a procedure to obtain a general estimate of the rate at which agricultural productivity declines on newly cleared land in the Brazilian Amazon. This estimated parameter has two advantages over conventional estimates. First, it is a general, average estimate that can be used in macro-scale economic analysis. Second, the estimate is derived from regional data accessible to economists r...