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Our interest in this paper is on the choice of spatial and categorical scale, and their interaction, in creating classifications of land cover from remotely sensed measurements.
Aggregation of land cover categories used by Tucson and Pima County and verifications of any uncertain classifications of land cover with field evaluations produced a consistent land cover classification system and database.
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The classification of algae into taxonomic groups is based upon the same rules that are used for the classification of land plants, but the organization of groups of algae above the order level has changed substantially since 1960.
We are also aware that the classification of land categories can vary across countries and regions.
Supervised classification of land cover across space and time is a long-standing goal of the Earth Science community.
The DS theory has been applied to related problems such as the classification of land cover [10] and segmentation of images [11].
A main concern for European pastoralists in this pillar relates to the classification of land and thus their eligibility for CAP subsidy schemes.
The identification and classification of land use/cover types on the aerial photographs was undertaken by visual interpretation with mirror stereoscope.
We propose a new approach for the simultaneous classification of land cover and land use considering spatial as well as semantic context.
In West Africa, accurate classification of land cover and land change remains a big challenge due to the patchy and heterogeneous nature of the landscape.
In this paper, we explored the potential of SPOT-4 VEGETATION (VGT) data for the classification of land cover types in TEA.
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