The pace of Land Use/Land Cover (LULC) change has accelerated due to population growth, industrialization, and economic development. To understand analyze this transformation, it is essential examine changes in LULC meticulously. classification a fundamental complex task that plays significant role farming decision making urban planning for long-term development the earth observation system. Re...

This research paper focuses on the important method of image matching for collecting ground control points and automated precise geo-registration high-resolution satellite imagery. The study aims to improve success rate between incoming images reference chips generated from aerial color ortho-images by using pan-sharpened images. results show that use leads higher rates due similar spectral ran...

Time sequential Landsat MSS and TM images were used to map land use/cover of the Atlanta metropolitan area for the past 25 years as a component of the NASA-funded Project ATLANTA (ATlanta Land-use ANalysis: Temperature and Air-quality), which has the objective to model the impact of land use/cover change on temperature and air quality in Atlanta. This paper describes a suite of techniques that ...

Spatial Database is a collection of spatially referenced data that acts as a model of reality. Geographical Information System includes spatial data which is either in raster or vector form and data derived from remote sensors are increasingly utilized as source for GIS. Spatial data is the core part of the Geographical Information System. Data mining techniques are studied to discover knowledg...

This study uses the InterIMAGE system and imagery from the QuickBird II optical sensor for the land use classification at two testsites in the metropolis of São Paulo, Brazil. InterIMAGE is an open source and free access system for knowledge-based image classification. Within InterIMAGE human knowledge is represented as a semantic net and by user-defined rules that can emulate human reasoning b...

Rapid and accurate monitoring of the dynamic change construction land is great significance for strictly controlling arbitrary growth urban protecting agricultural forestry land. In order to master situation use conduct more efficient research on classification, this paper takes Weinan as object uses Landsat8 data under same classification conditions analyze image features various types respect...

this research has been carried out with the aim of the determination of the land-use changes of the forests in the protected area of arasbaran. the determination of the changing points and the factors influencing these changes by the use of gis and remote sensing are the main aims of this research. accordingly, the satellite pictures pertaining to the years 1987 and 2005 along with other necess...

In this article, we present a novel hybrid framework, which integrates spatial-temporal semantic segmentation with postclassification relearning, for multitemporal land use and cover (LULC) classification based on very high resolution (VHR) satellite imagery. To efficiently obtain optimal LULC maps, the framework utilizes model to harness temporal dependency extracting high-level features. addi...

Urban land cover/use changes like urbanization and urban sprawl have been impacting the urban ecosystems significantly therefore determination of urban land cover/use changes is an important task to understand trends and status of urban ecosystems, to support urban planning and to aid decision-making for urban-based projects. High resolution satellite images could be used to accurately, periodi...