LAND USE AND LAND COVER CLASSIFICATION OF SENTINEL 2-A: ST PETERSBURG CASE STUDY
نویسندگان
چکیده
منابع مشابه
Comparing the Capability of Sentinel 2 and Landsat 8 Satellite Imagery in Land Use and Land Cover Mapping Using Pixel-based and Object-based Classification Methods
Introduction: Having accurate and up-to-date information on the status of land use and land cover change is a key point to protecting natural resources, sustainable agriculture management and urban development. Preparing the land cover and land use maps with traditional methods is usually time and cost consuming. Nowadays satellite imagery provides the possibility to prepare these maps in less ...
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Land Use and Land Cover (LULC) classification is vital for environmental and ecological applications. Sentinel-2 is a new generation land monitoring satellite with the advantages of novel spectral capabilities, wide coverage and fine spatial and temporal resolutions. The effects of different spatial resolution unification schemes and methods on LULC classification have been scarcely investigate...
متن کاملSemantic integration of geospatial concepts - a study on land use land cover classification systems
Title of Document: SEMANTIC INTEGRATION OF GEOSPATIAL CONCEPTS – A STUDY OF LAND USE LAND COVER CLASSIFICATION SYSTEMS Hua Wei, Ph. D., 2011 Directed By: Professor John R. G. Townshend Department of Geography University of Maryland, College Park In GI Science, one of the most important interoperability issues relates to land use and land cover (LULC) data, because it is a key to the evaluation ...
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...
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ژورنال
عنوان ژورنال: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
سال: 2019
ISSN: 2194-9034
DOI: 10.5194/isprs-archives-xlii-1-w2-13-2019