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• W2076240167 abstract "Satellite imagery and aerial photography represent a vast resource to significantly enhance environmental mapping and modeling applications for use in understanding spatio-temporal relationships between environment and health. Deriving boundaries of land cover objects, such as trees, buildings, and crop fields, from image data has traditionally been performed manually using a very time consuming process of hand digitizing. Boundary detection algorithms are increasingly being applied using object-based image analysis (OBIA) technology to automate the process. The purpose of this paper is to present an overview and demonstrate the application of OBIA for delineating land cover features at multiple scales using a high resolution aerial photograph (1 m) and a medium resolution Landsat image (30 m) time series in the context of a pesticide spray drift exposure application." @default.
• W2076240167 created "2016-06-24" @default.
• W2076240167 creator A5064198706 @default.
• W2076240167 date "2010-12-01" @default.
• W2076240167 modified "2023-09-26" @default.
• W2076240167 title "Generating land cover boundaries from remotely sensed data using object-based image analysis: Overview and epidemiological application" @default.
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• W2076240167 doi "https://doi.org/10.1016/j.sste.2010.09.005" @default.
• W2076240167 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/2996831" @default.
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