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Land Cover is the basis of geographic national conditions monitoring, extracting land cover information timely and accurately has become one of important tasks in the geographic national conditions ...
Markov random field (MRF) is an effective method for description of local spatial-temporal dependence of image and has been widely used in land cover classification and change detection. However, ex...
Land cover classification for high spatial resolution remote sensing images becomes a challenging work. The high spatial resolution remote sensing images have more spatial information. The low or medi...
Multi-platform/sensor and multi-temporal satellite data facilitates analysis of successive change/monitoring over the longer period and there by forest biomass helping REDD mechanism. The historical a...
Czech landscape is an old residential area used by humans since ancient times. People have influenced it since their arrival and various activities in different periods create landscape layers called ...
Although wetlands are well known as one of the most important ecosystems in the world, there are still few global wetland mapping efforts at present. To evaluate the wetland-related types of data accu...
The integration of different kinds of remotely sensed data, in particular Synthetic Aperture Radar (SAR) and optical satellite imagery, is considered a promising approach for land cover classification...
Light Detection and Ranging (LiDAR) systems are used intensively in terrain surface modelling based on the range data determined by the LiDAR sensors. LiDAR sensors record the distance between the sen...
An overall societal aim is to ensure a sustainable use and management of a country’s land resources. This requires continuous delivery of reliable and up-to-date information to decision-makers. To be ...
The Normalized Difference Vegetation Index (NDVI) has become one of the most widely used indices in remote sensing applications in a variety of fields. Many studies have compared the NDVI values fo...
An automatic method for land cover mapping and for detecting forest change has been designed for high resolution couples of image. The work is done on 20x20 km samples of 30 m resol...
Fuzzy Image Regions were proposed recently as an alternative GEOBIA method for conducting qualitative land cover classification.In this paper, these fuzzy segments are applied for estimation of quanti...
This study uses the InterIMAGE system and imagery from the QuickBird II optical sensor for the classification of the land cover of two test-sites in the metropolis of São Paulo, Brazil. InterIMA...
While analyzing satellite or aerial images different inconveniences can have negative effects on final classification accuracy. The objective of this paper is to expose the problems that were faced wh...
A qualitative accuracy assessment for land cover classification was performed to evaluate (i) the performance when applied to topographically and non-topographically corrected Landsat ETM+ images, and...

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