Abstract: As long as the effective contributions of satellite images in the continuous monitoring of the wide area and long range of time period, Landsat TM and Landsat ETM+ satellite images are surveyed. After quantization and classification of the deviations between TM and ETM+ images based on approved thresholds such as gains and biases or offsets, a correlation analysis method for the compa...

Various classification methods have been applied for low resolution of the entire Earth's surface from recorded satellite images, but insufficient study has determined which method, for which satellite data, is economically viable for tropical forest land use mapping. This study employed Iterative Self Organizing Data Analysis Techniques (ISODATA) and K-Means classification techniques to classi...

Small satellites have limited payload and their attitudes are sometimes difficult to determine from the limited onboard sensors alone. Wrong attitudes lead to inaccurate map projections and measurements that require post-processing correction. In this study, we propose an automated and robust scheme that derives the satellite attitude from its observation images and known satellite position by ...

The present study was conducted to assess socio-economic impacts of deforestation of Hyrcanian forests in two basins of Do-Hezar and Se-Hezar, northern Iran. To this end, changes in the forest area were detected over the period between 1990 and 2006 based on land use land cover maps derived from Landsat and IRS satellite images. The land use changes were investigated by enhancement of the image...

classifying remote sensing imageries to obtain reliable and accurate landuse/cover (luc) information still remains a challenge that depends on many factors suchas complexity of landscape especially in arid region. the aim of this paper is to extractreliable luc information from land sat imageries of the pishkouh watershed of centralarid region, iran. the classical maximum likelihood classifier ...

The GMES (Global Monitoring for Environment and Security) Fast Track Land monitoring Service (FTLS) is a service to provide on a regular basis land cover and land use change datasets, which can be used by a wide range of downstream services at European, national, regional and local scale. Under ESA contract DLR (German Aerospace Center) produced two multi-temporal datasets of orthorectified ima...

This paper examines the application of object-orientated processing and artificial intelligence techniques to high spatial resolution satellite sensor images for urban land-use monitoring. Although these techniques have been applied to aerial photography for some time, their use in the analysis of digital images acquired by satellite sensors is much less well developed. Within this study, a two...

In this research the Preparation of Land use map of scanner LISS III satellite data, belonging to the IRS in the Aghche region in Isfahan province, is studied carefully. For this purpose, the IRS satellite images of August 2008 and various land preparation uses in region including rangelands, irrigation farming, dry farming, gardens and urban areas were separated and identified. Therefore, the ...

Panchromatic Remote-sensing Instrument for Stereo Mapping (PRISM), one of onboard sensors carried by Advanced Land Observing Satellite (ALOS), was designed to generate worldwide topographic data with its optical stereoscopic observation. It has an exclusive ability to perform a triplet stereo observation which views forward, nadir, and backward along the satellite track in 2.5 m ground resoluti...

abstract many researchers have recently considered the use of data obtained from remote sensing (r.s) to reveal changes. in the present study, we have attempted to reveal the morphodynamic changes in taleghan river basin through image satellite and by analyzing the principal component analysis (pca) and fuzzy logic. the final map indicates the intensity of changes through, 15-years interval obs...