A new procedure for forestry database updating with gis and remote sensing

dc.creator	Luis Carvalho M. T. de
dc.creator	Jan G. P. W. Clevers
dc.creator	Steven M. de Jong
dc.creator	Andrew K. Skidmore
dc.date	2003
dc.date.accessioned	2026-07-07T02:39:54Z
dc.description	The aim of this study was to develop an automated, simple and flexible procedure for updating raster-based forestry database. Four modules compose the procedure: (1) location of changed sites, (2) quantification of changed area, (3) identification of the new land cover, and (4) database updating. Firstly, a difference image is decomposed with wavelet transforms in order to extract changed sites. Secondly, segmentation is performed on the difference image. Thirdly, each changed pixel or each segmented region is assigned to the land cover class with the highest probability of membership. Then, the output is used to update the GIS layer where changes took place. This procedure was less sensitive to geometric and radiometric misregistration, and less dependent on ground truth, when compared with post classification comparison and direct multidate classification.
dc.format	application/pdf
dc.identifier	0104-7760
dc.identifier	https://www.redalyc.org/articulo.oa?id=74409204
dc.identifier.uri	http://hdl.handle.net/123456789/420861
dc.language	en
dc.publisher	Universidade Federal de Lavras
dc.relation	http://www.redalyc.org/revista.oa?id=744
dc.rights	CERNE
dc.source	CERNE (Brasil) Num.2 Vol.9
dc.subject	Agrociencias
dc.title	A new procedure for forestry database updating with gis and remote sensing
dc.type	artículo científico

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