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Invasive plant species represent a serious threat to biodiversity and landscape as well as human health and socio-economy. To successfully fight plant invasions, new methods enabling fast and efficien...
The GaoFen-4 (GF-4) remote sensing satellite is China’s first civilian high-resolution geostationary optical satellite, which has been launched at the end of December 2015. To guarantee the geometric ...
The low frequency error is a key factor which has affected uncontrolled geometry processing accuracy of the high-resolution optical image. To guarantee the geometric quality of imagery, this paper pre...
Digital Elevation Model (DEM) is indispensable for many analyses such as topographic feature extraction, runoff analysis, slope stability analysis and so on. Beforehand such analyses, accuracy of DEM ...
How to greatly benefit form a variety of remote sensing data has become a bottle-neck problem in application of remote sensing. As an image has high spectral resolution, but relatively lower spatial r...
Path radiance due to aerosols plays an important role over satellite derived reflectance due to higher aerosol optical depth and their seasonal variations. In addition, satellite data from high-resolu...
The development of digital terrain analysis based on DEM is helpful for the simulation of astronomic radiation in rugged area. However the effect of DEM scale causes great uncertainty to the simulatio...
For an extension of the water catchments areas for the Greater Istanbul Municipality investigations in a mountainous forest area in Turkey, at the Bulgarian border, named Istiranca, have been made. In...
In this work, a theoretical-empirical model has been developed for the modelling of the local geometric accuracy of digital orthoimages from panchromatic QuickBird Very High Resolution Satellite Image...
This paper reports results of retrieving industrial building complexes from high-resolution images. Content-based image retrieval uses a sample image of specific content to retrieve images in a databa...
Many applications of remote sensing – like, for example, urban monitoring – require high resolution data for a correct determination of object geometry. These spatial high resolution image data contai...
The expansion of urban areas has a negative impact on the environment. The increase of impervious or sealed surfaces is directly proportional to this expansion. The estimation of sealed surfaces has o...
Methods of image segmentation become more and more important in the field of remote sensing image analysis – in particular due to the increasing spatial resolution of imagery. The most important fact...
In this paper we used high resolution satellite imagery in order to study the Pordenone Mountain forests (Friuli Venezia Giulia - North-East of Italy). Our aim is to develop a method able to estimate...
When monitoring deforestation, frequent images with an optimal spatial resolution are required. But in reality either images with low spatial resolution and a high revisit frequency or high spatial r...

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