A Comparison between Supervised Classification Methods: Study Case on Land Cover Change Detection Caused by a Hydroelectric Complex Installation in the Brazilian Amazon

The Volta Grande do Xingu (VGX) in the Amazon Forest of Brazil was chosen to analyze the land use and land cover changes (LULCC) from 2000 to 2017, with the aim of assessing the most suitable classification method for the area. Three parametric (Mahalanobis distance, maximum likelihood and minimum d...

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Veröffentlicht in:	Sustainability 2023-01, Vol.15 (2), p.1309
Hauptverfasser:	Affonso, Alynne Almeida, Mandai, Silvia Sayuri, Portella, Tatiana Pineda, Quintanilha, José Alberto, Conti, Luis Américo, Grohmann, Carlos Henrique
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Adaptive management Algorithms Biodiversity Change detection Classification Construction Deforestation Ecosystems Hydroelectric power Hydrology Land cover Land use Landsat Landscape Pasture Planning Rainforests Remote sensing Rivers Statistical analysis Stream flow Support vector machines Sustainability Vegetation
Online-Zugang:	Volltext
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