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The main purpose of this paper is to investigate multi-temporal land surface temperature (LST) and Normalized Difference Vegetation Index (NDVI) changes of Konya in Turkey using remotely sensed data. ...
The coal development zone of Northern Shaanxi, China is one of the eight largest coal mines in the world, also the national energy and chemical bases. However, the coal mining leads to ground surface ...
Mapping woody cover over large areas can only be effectively achieved using remote sensing data and techniques. The longest continuously operating Earth-observation program, the Landsat series, is now...
The Landsat 8 satellite which was launched in 2013 is a next generation of the Landsat remote sensing satellites series. It is equipped with two new sensors: the Operational Land Imager (OLI) and the ...
Soil salinity is one of the most important problems affecting many areas of the world. Saline soils present in agricultural areas reduce the annual yields of most crops. This research deals with the s...
Open and free access to multi-frequent high-resolution data (e.g. Sentinel – 2) will fortify agricultural applications based on satellite data. The temporal and spatial resolution of these remote sens...
Radiometric Cross-calibration of KOMPSAT-3A with Landsat-8     Cross Calibration. PICS  KOMPSAT-3A  Landsat-8       font style='font-size:12px;'> 2016/7/4
In this study, Cross calibration was conducted at the Libya 4 PICS site on 2015 using Landsat-8 and KOMPSAT-3A. Ideally a cross calibration should be calculated for each individual scene pair because ...
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...

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