Artículos de revistas
Classification Techniques For Landsat Tm Imagery Under Different Landscape Patterns In Rondônia [avaliação De Técnicas De Classificação Digital De Imagens Landsat Em Diferentes Padrões De Cobertura Da Terra Em Rondônia]
Registro en:
Revista Arvore. , v. 36, n. 3, p. 537 - 547, 2012.
1006762
10.1590/S0100-67622012000300016
2-s2.0-84864831012
Autor
de Mello A.Y.I.
Alves D.S.
Linhares C.A.
de Lima F.B.
Institución
Resumen
Remotely sensed imagery has been widely used for land use/cover classification thanks to the periodic data acquisition and the widespread use of digital image processing systems offering a wide range of classification algorithms. The aim of this work was to evaluate some of the most commonly used supervised and unsupervised classification algorithms under different landscape patterns found in Rondônia, including (1) areas of mid-size farms, (2) "fish-bone" settlements and (3) a gradient of forest and Cerrado (Brazilian savannah). Comparison with a reference map based on the kappa statistics resulted in good to superior indicators (best results - K-means: k=0.68; k=0.77; k=0.64 and MaxVer: k=0.71; k=0.89; k=0.70 respectively for three areas mentioned). Results show that choosing a specific algorithm requires to take into account both its capacity to discriminate among various spectral signatures under different landscape patterns as well as a cost/benefit analysis considering the different steps performed by the operator performing a land cover/use map. it is suggested that a more systematic assessment of several options of implementation of a specific project is needed prior to beginning a land use/cover mapping job. 36 3 537 547 Alves, D.S., Characterizing landscape changes in central Rondônia using Landsat TM imagery (1999) International Journal of Remote Sensing, 20 (14), pp. 2877-2882 Alves, D.S., Space-times dynamics of deforestation in Brazilian Amazon (2002) International Journal of Remote Sensing, 23 (14), pp. 2903-2908 Alves, D.S., Land use intensification and abandonment in Rondônia, Brazilian Amazonia (2003) International Journal of Remote Sensing, 24 (4), pp. 899-903 Alves, D.S., Science and technology and sustainable development in Brazilian Amazon (2007) The stability of tropical rainforest margins., pp. 493-512. , In: TSCHARNTKE, T. et al. 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