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The accuracy of snow cover information extraction in remote-sensing images dependent on a variety of factors, especially in mountain area with complex terrain. This paper aims at analyzing the accurac...
This study aims to determine the accuracy level at which different forms of land degradation can be mapped from medium-resolution satellite data, and to assess how accurately degraded land can be dete...
In recent decades, rapid rates of population growth and urban expansion affect local and regional ecosystems, climate, biogeochemistry, as well as food production. Ninety percent of urbanization will ...
Land use changes associated with agriculture and forestry are a significant component in Australia’s carbon budget. In response to the need to quantify the resulting greenhouse gas emissions, the capa...
Merging of different data sets is often used in digital image processing to improve the visual and analytical quality of the data. The analyst may need to merge different types of data. In this proces...
Cloud-related shadows represent areas with low illumination conditions that affect remote sensing image quality. In this research, a wavelet-based image sharpening algorithm was developed to enhance s...
This paper presents a methodology through utilizing remote sensing imagery, GIS-based neuro-fuzzy approach and variety of social and environmental factors for simulating land use change. Two historica...
Although spectral mixture analysis has been widely used for mapping the abundances of physical components of urban surface with moderate spatial resolution satellite imagery recently, the spectral het...
This paper investigates the relationship between the surface urban heat islands (SUHI) and the percent impervious surface area (%ISA) in Shanghai, China. The %ISA was characterized from a Landsat-7 ET...
The Lake Urmiah has undergone a drastic shrinkage in size over the past few decades. The initial intention of this paper is to present an approach for determining the so called “salient times” during ...
In traditional approach, the land surface temperature (LST) is estimated by the permanent or portable ground-based weather stations. Due to the lack of adequate distribution of weather stations, a uni...
Wetlands are resources of paramount importance with many values and functions. However, with the economy development and the population growth, wetlands have undergone great changes. This study invest...
The Sea Surface Temperature (SST) retrieval from satellites data Thus, it could provide SST data for a long time. Since, the algorithms of SST estimation by using Landsat 8 Thermal Band are sitedepend...
In this research, first a spectral analysis was performed on the ASTER and ETM Landsat Imagery data of Muteh gold mining area, located in central part of Iran, to map hydrothermal alteration associate...
In order to evaluate the potential of satellite data in classification of saline soils, Enhanced Thematic Mapper (ETM+) subscene of northern part of Lout Plain, Iran dated July 2002 was analyzed quali...

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