Title:	Land-cover binary change detection methods for use in the moist tropical regiona of the Amazon: a comparative study.
Authors:	LU, D. MAUSEL, P. BATISTELLA, M. MORAN, E.
Affiliation:	Indiana University-CIPEC (1, 3-4); Embrapa Monitoramento por Satélite (2).
Date Issued:	2005
Citation:	International Journal of Remote Sensing, v. 26, n. 1, jan. 2005, p. 101-114.
Pages:	14 p.
Description:	Many land-cover change detection techniques have been developed; however, different conclusions about the value or appropriateness of each exist. This difference of opinion is often influenced by the landscape complexity of study areas and data used for analysis. Which method is most suitable for land-cover change detection in Amazon tropical regions remains unclear. ln this paper, 10 binary change detection methods were implemented and compared with respect to their capability to detect land-cover change and no change conditions in moist tropical regions. They are image differencing (ID), modified image differencing (MID), a combination of image differencing and principal component analysis (IDPCA), principal component differencing (PCD), multitemporal PCA (MPCA), change vector analysis (CVA), vegetation index differencing (VID), image ratioing (IR), modified image ratioing (MIR), and a combination of image ratioing and PCA (lRPCA). Multi-temporal Thematic Mapper (TM) data were used to conduct land-cover binary change detection. Research results indicate that MID, PCD and ID using TM band 5 are significant1y better than other binary change detection methods and they are recommended specifically for implementation in the Amazon basin.
Thesagro:	Satélite Vegetação
Keywords:	Monitoramento Região Amazônica Amazonas
DOI:	10. 10S0I0143 li 60410001720748
Type of Material:	Artigo de periódico
Access:	openAccess
Appears in Collections:	Artigo em periódico indexado (CNPM)