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	Provedor de dados REA (2) Ecology and Society (1) Autor Dalposso,Gustavo H. (2) Uribe-Opazo,Miguel A. (2) Bastiani,Fernanda de (1) Borssoi,Joelmir A. (1) Johann,Jerry A. (1) Mercante,Erivelto (1) Rochefort, Line; ; (1) Mais... Palavra-chave Error matrix (3) Coarse filter (1) Confusion matrix (1) Geostatistics (1) Habitat distinctiveness (1) Habitat variability (1) Landsat 7 (1) Local influence (1) Mask procedure (1) Maximum likelihood (1) Maximum likelihood classification (1) Peatland habitats (1) Plant species assemblages (1) Remote sensing (1) Supervised classification (1) Wetland conservation (1) Mais... Tipo do documento Info:eu-repo/semantics/article (2) Peer-Reviewed Reports (1) Ano 2012 (2) 2002 (1) País Brazil (2) Canada (1) Idioma Inglês (3)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 3 Primeira ... 1 ... Última From Satellite Imagery to Peatland Vegetation Diversity: How Reliable Are Habitat Maps? Ecology and Society Rochefort, Line; ;. Although satellite imagery is becoming a basic component of the work of ecologists and conservationists, its potential and reliability are still relatively unknown for a large number of ecosystems. Using Landsat 7/ETM+ (Enhanced Thematic Mapper Plus) data, we tested the accuracy of two types of supervised classifications for mapping 13 peatland habitats in southern Quebec, Canada. Before classifying peatland habitats, we applied a mask procedure that revealed 629 peatlands covering a total of 18,103 ha; 26% of them were larger than 20 ha. We applied both a simple maximum likelihood (ML) function and a weighted maximum likelihood (WML) function that took into account the proportion of each habitat class within each peatland when classifying the habitats on... Tipo: Peer-Reviewed Reports Palavras-chave: Landsat 7; Coarse filter; Error matrix; Habitat distinctiveness; Habitat variability; Mask procedure; Maximum likelihood classification; Peatland habitats; Plant species assemblages; Remote sensing; Supervised classification; Wetland conservation. Ano: 2002 Comparison measures of maps generated by geostatistical methods REA Dalposso,Gustavo H.; Uribe-Opazo,Miguel A.; Mercante,Erivelto; Johann,Jerry A.; Borssoi,Joelmir A.. This study uses several measures derived from the error matrix for comparing two thematic maps generated with the same sample set. The reference map was generated with all the sample elements and the map set as the model was generated without the two points detected as influential by the analysis of local influence diagnostics. The data analyzed refer to the wheat productivity in an agricultural area of 13.55 ha considering a sampling grid of 50 x 50 m comprising 50 georeferenced sample elements. The comparison measures derived from the error matrix indicated that despite some similarity on the maps, they are different. The difference between the estimated production by the reference map and the actual production was of 350 kilograms. The same difference... Tipo: Info:eu-repo/semantics/article Palavras-chave: Error matrix; Confusion matrix; Local influence. Ano: 2012 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162012000100018 Comparison of maps of spatial variability of soil resistance to penetration constructed with and without covariables using a spatial linear model REA Bastiani,Fernanda de; Uribe-Opazo,Miguel A.; Dalposso,Gustavo H.. A study about the spatial variability of data of soil resistance to penetration (RSP) was conducted at layers 0.0-0.1 m, 0.1-0.2 m and 0.2-0.3 m depth, using the statistical methods in univariate forms, i.e., using traditional geostatistics, forming thematic maps by ordinary kriging for each layer of the study. It was analyzed the RSP in layer 0.2-0.3 m depth through a spatial linear model (SLM), which considered the layers 0.0-0.1 m and 0.1-0.2 m in depth as covariable, obtaining an estimation model and a thematic map by universal kriging. The thematic maps of the RSP at layer 0.2-0.3 m depth, constructed by both methods, were compared using measures of accuracy obtained from the construction of the matrix of errors and confusion matrix. There are... Tipo: Info:eu-repo/semantics/article Palavras-chave: Geostatistics; Maximum likelihood; Error matrix. Ano: 2012 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162012000200019 Registros recuperados: 3 Primeira ... 1 ... Última

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