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It is now common to use data from two or more sensors for land cover change detection. Since the spatial and spectral resolutions of different sensors vary significantly, the ability to discriminate t...
The work presented is part of a project that aims at change detection in urban areas after strong earthquakes. Detection and classification of these changes are used to recognise building damages as a...
This work proposes a framework for increasing the degree of automation of low-resolution satellite images interpretation procedures.Basically, the method starts with an image segmentation which, accor...
Turkey has always been one of the major agricultural countries in the world. The importance of agriculture is increasing due to the growing of population in Turkey and in the world. Although the impor...
This article concerns the application of photogrammetry and geoinformation to the previous research of soil erosion carried out in XIX and XX century. In 1926 a Polish scientist, Stanislaw Bac initiat...
In this paper a novel object-oriented change detection approach in multitemporal remote-sensing images is proposed. In order to improve post classification comparison (PCC) performance, we propose t...
This study aims to analyse the dynamics of land-use and land-cover (LULC) in a selected southern Amazonian area (Brazil), monitoring and distinguishing trajectories in NDVI (Normalized Difference Ve...
Automatic extraction of built-up areas from a multitemporal interferometric ERS-1/2 Tandem SAR dataset was studied. The image data were segmented into homogeneous regions and the regions were classi...
This paper presents an algorithm for modelling of the different parameters which influence the reflectance at the satellite's level in order to estimate the reel reflectance of the objects at the gro...
MULTITEMPORAL LANDSAT TM DATA FOR MONITORING THE EFFECTS OF FOREST FIRES AND VEGETATION RECOVERY PROCESSES IN MEDITERRANEAN AREAS.
MULTITEMPORAL FOREST CHANGE ANALYSIS     Sariyer  Landsat TM  GCP  RMS  ISODATA       2015/2/4
In this study, differentiability of vegetation at Sariyer, an area with rich forest due to its geographical situation and general characteristics, has been analysed through the satellite images used ...
INTEGRATION OF MULTITEMPORAL ERS.2 SAR AND LANDSAT TM DATA FOR SOIL MOISTURE ASSESSMENT.
A method for classifying agricultural crops using multi-temporal, multi-spectral and multi-source remotely-sensed data is described. The procedure characterises all the pixels in a scene by considerin...
Interest in data fusion, for remote-sensing applications, continues to grow due to the increasing importance of obtaining data in high resolution both spatially and temporally. Applications that will ...

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