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ASTER has similar bandwidths and spatial resolution to Landsat and is an important component of the mid-resolution data archive. However, the limited duty cycle of ASTER and relatively small scene siz...
In this study, land cover classification and NDVI evaluation are carried out in surrounding areas of Yeongi-gun, Chungcheongnam- do (132km2) where a project for multi-functional administrative city is...
In this study, two different change detection techniques were applied in order to assess land cover changes in El Rawashda forest,Sudan: comparison of classification and multivariate alteration detect...
The Australian landscape, as in many countries, has undergone a significant change. The extent of native forests in Australia has steadily decreased over time since European settlement. The establishm...
The present study addresses the attempt made to explore the temporal (5-day revisit) and spatial resolution (56m) potential of AWiFS sensor aboard IRS-P6 to generate the land use land cover informatio...
The hybrid classifier is presented in combination of expert system and object oriented approach, for which increased information is added for classification and improve the accuracy. Instead of the or...
Nowadays, the availability of high-resolution images has increased the number of researches on urban land use and land cover classification. Most of them have used object oriented image analysis with ...
With a lot of successful applications of neural network-based classification, it has been recognized the classification can produce more accurate results than conventional approaches for remotely-sens...
Remote sensing has been increasingly used to derive land cover information by manual interpretation or automated classification. As promising automated classifiers, artificial neural networks are diff...
Sub-pixel based digital image classification outputs from coarse spatial resolution remote sensing images can be closer to ground information as compared to hard classification outputs. This has been ...
The National Geographic Institute of Spain (IGN) is the National Reference Centre in Land Cover and Use (EIONET′s National Reference Centre for Soil, by mandate of the National Focal Point, the Spanis...
For spatial decision support and regional (agro-)ecosystem modeling, land use data are of central importance and have to be available in a spatial data infrastructure for regional modeling. Usually, l...
The vegetation quality in upper catchment of the Yellow River is critical for ecological stability in the whole watershed, which is also sensitive to climate change. The dominant land covers in this r...
Landsat 5 TM was used as a tool to model Anopheles mosquito densities on heterogeneous land cover. In this study, mosquito density data was divided into 5 classes; absence, low, moderate, high, and ve...
This research investigates the extent of land cover change, particularly urban sprawl, in the Greater Toronto Area (GTA) and the nature of the resulting landscape fragmentation, particularly with rega...

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