LAND USER AND LAND COVER MAPS OF EUROPE: A WEBGIS PLATFORM
نویسندگان
چکیده
منابع مشابه
Self-Learning Based Land-Cover Classification Using Sequential Class Patterns from Past Land-Cover Maps
To improve the accuracy of classification with a small amount of training data, this paper presents a self-learning approach that defines class labels from sequential patterns using a series of past land-cover maps. By stacking past land-cover maps, unique sequence rule information from sequential change patterns of land-covers is first generated, and a rule-based class label image is then prep...
متن کاملImpact of urban land cover change on land surface temperature
The rapid growth in urban population is seen to create a need for the development of more urban infrastructures. In order to meet this need, natural surfaces such as vegetation are been replaced with non-vegetated surfaces such as asphalt and bricks which has the ability to absorb heat and release it later. This change in land cover is seen to increase the land surface temperature. Previous stu...
متن کاملModeling Land-use and Land-cover Change
Models are used in a variety of fields, including land change science, to better understand the dynamics of systems, to develop hypotheses that can be tested empirically, and to make predictions and/or evaluate scenarios for use in assessment activities. Modeling is an important component of each of the three foci outlined in the science plan of the Land-use and -cover change (LUCC) project (Tu...
متن کاملGenerating Up-to-Date and Detailed Land Use and Land Cover Maps Using OpenStreetMap and GlobeLand30
With the opening up of the Landsat archive, global high resolution land cover maps have begun to appear. However, they often have only a small number of high level land cover classes and they are static products, corresponding to a particular period of time, e.g., the GlobeLand30 (GL30) map for 2010. The OpenStreetMap (OSM), in contrast, consists of a very detailed, dynamically updated, spatial...
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ژورنال
عنوان ژورنال: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
سال: 2016
ISSN: 2194-9034
DOI: 10.5194/isprs-archives-xli-b7-913-2016