Land use/land cover change detection combining automatic processing and visual interpretation

Land use/land cover change detection combining automatic processing and visual interpretation

This article presents a hybrid classification method combining image segmentation, GIS analysis, and visual interpretation, and its application to elaborate a multi-date cartographic database with 23 land use/cover (LUC) classes using SPOT 5 imagery for the Mexican state of Michoacan (~60,000 km2)....

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Bibliographic Details
Main Authors:	Jean-François Mas, Richard Lemoine-Rodríguez, Rafael González-López, Jairo López-Sánchez, Andrés Piña-Garduño, Evelyn Herrera-Flores
Format:	Article
Language:	English
Published:	Taylor & Francis Group 2017-01-01
Series:	European Journal of Remote Sensing
Subjects:	Change detection land cover database image segmentation visual interpretation accuracy assessment cartographic updating
Online Access:	http://dx.doi.org/10.1080/22797254.2017.1387505

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