The accuracy of the Land Use/Land Cover (LULC) data derived from remote sensing images is critical for many applications. Classification error is caused by the interaction of numerous factors, including landscape characteristics, sensor resolution, spectral overlap, preprocessing algorithms, and classification procedures. The purpose of this paper is to analyze the impacts of landscape characte...

Land cover classification requires both temporal and spatial information. Indeed, vegetation temporal evolution is necessary to discriminate the different land cover types. This information can be derived from coarse resolution sensors such as MERIS (300×300m pixel size), or SPOT/VGT (1km pixel size), whereas high resolution images, such as SPOT4/HRV ones (20×20m pixel size), contain the requir...

In this paper, we apply a special application of the Rao quadratic diversity for multiscale analysis of land use changes in a mixed agricultural-forest landscape in Central Italy. The proposed approach is similar to a block-size analysis of compositional diversity for which a given landscape is overlaid with a series of square grids composed of increasingly larger boxes. The combination of land...

A spatial simulation model was developed to predict temporal changes in land use patterns in a Piedmont county in Georgia. Five land use categories were included: urban, crop, abandoned cropland, pasture, and forest. Land use data were obtained from historical aerial photography and digitized into a matrix based on a 1 ha grid cell format. Transitions of cells from one state to another were dep...

although studies on the relation between size and efficiency are ample, studies on the relation between size, fragmentation, and efficiency are limited. it is the purpose of this study in which a single-stage stochastic parametric approach is used. for this purpose production of wheat in iran is a good case because wheat is the core commodity of the iranian agricultural system which is dominate...

The paper reports ongoing investigations on the size distribution of rural land holdings in the real world (specifically, in Scotland), and in the output of two simulation programs: a simple numerically-based simulation of the partition and repartition of a fixed-size resource between a fixed set of entities (referred to here as R-SG), and an agent-based model of rural land use and land ownersh...

This paper intends to characterise the land holding distributions in a Multi-Agent Based Simulation (MABS) model inspired by the Caparo Forest Reserve, in Venezuela. This forest has been highly intervened with and seriously altered by opportunistic, nomadic, land-seeking colonists. The distribution of land holding results from a process of land encroachment, allowed by a weak state showing ambi...

The area of land consolidation projects are generally small, so remote sensing images used in land cover classification are generally of high resolution. The spectral characteristics of the high-resolution remote sensing data are unstable, while the texture feature is prominent. In view of this issue, this paper study the spatial relation between the adjacent pixels in the remote sensing image,...

An inventory of topsoil soil organic carbon (SOC) content in household farms was performed in a village from a red earth region in Jiangxi Province, China in 2003. In this region, the farmland managed by each household is fragmented, consisting of several plots of land that are not necessarily adjacent to each other. A statistical analysis of SOC variation with land use and household management...