Objective: The aim of this study is to provide a management plan for the Sykan watershed of Darre shahr city located in Ilam province using GIS in land use planning. Methods: For land using of Sykan watershed of Ilam province with about 9 hectares area, map of classes, elevation, percent slope, geographical aspects, soil characteristics, vegetation density and the final map units were combined ...

Land use/cover classification is one of the most important applications in remote sensing. However, mapping accurate land use/cover spatial distribution is a challenge, particularly in moist tropical regions, due to the complex biophysical environment and limitations of remote sensing data per se. This paper reviews experiments related to land use/cover classification in the Brazilian Amazon fo...

In this time of large-scale planning and land management on public lands, managers are increasingly looking for faster and less expensive methods of data collection. In efforts to make better decisions, planners need to be able to look at changes over time to assess trends. Policy makers are also looking to assess the effects of policies such as prescribed fire or fire suppression. All of these...

objective: the aim of this study is to provide a management plan for the sykan watershed of darre shahr city located in ilam province using gis in land use planning. methods: for land using of sykan watershed of ilam province with about 9 hectares area, map of classes, elevation, percent slope, geographical aspects, soil characteristics, vegetation density and the final map units were combined ...

An ever increasing population associated with various other factors has put tremendous pressure on the environment and its respective resources. Hence it has become necessary to study the human interactions with its surrounding environment to facilitate sustainable developmental plans. Land use and land cover is the most dominant factor to study these interactions. Remote Sensing technology has...

Land use mapping is one of the major applications of remote sensing. While most studies focus on the advanced remote sensing thematic classification algorithms for land use mapping, the scale factor in remote sensing data classification was less recognized. Previous studies showed that while the multi-scale characteristics exist in the remotely sensed data for land use classification, some clas...

This paper proposes a two-layer Conditional Random Field model for simultaneous classification of land cover and land use. Both classification tasks are integrated into a unified graphical model, which is reasonable due to the fact that land cover and land use exhibit strong contextual dependencies. In the CRF, we distinguish a land cover layer and a land use layer. Both layers differ with resp...

Using satellite imagery for the study of Earth's resources is attended by manyresearchers. In fact, the various phenomena have different spectral response inelectromagnetic radiation. One major application of satellite data is the classification ofland cover. In recent years, a number of classification algorithms have been developed forclassification of remote sensing data. One of the most nota...

Land is becoming a scarce natural resource due to the burgeoning population growth and urbanization. Essentially, detecting changes in land surface is significant for understanding and assessing human impacts on the environment. Nowadays, land use change detection using remote sensing data provides quantitative and timely information for management and evaluation of natural resources. This stud...

The world is witnessing a dramatic shift of settlement pattern from rural to urban population, particularly in developing countries. The rapid Addis Ababa urbanization reflects this global phenomenon and the subsequent socio-economic and environmental impacts, are causing massive public uproar and political instability. The objective of this study was to use remotely sensed Landsat data to iden...