publication . Article . 2008

Remote‐sensing image mining: detecting agents of land‐use change in tropical forest areas

Marcelino Pereira dos Santos Silva; Gilberto Camara; Maria Isabel Sobral Escada; Ricardo Cartaxo Modesto de Souza;
Open Access
  • Published: 23 Jul 2008
Abstract
Land remote-sensing images are the primary means of assessing land change. There have been major land changes in the planet in the last decades, especially in tropical forest areas. Identifying the agents of deforestation is important for establishing public policies that can help preserve the environment. This paper proposes a method for detecting the agents of land change in remote-sensing image databases. We associate each land-change pattern, detected in a remote-sensing image, to one of the agents of change. The proposed method uses a decision-tree classifier to describe shapes found in land-use maps extracted from remote-sensing images and then associates ...
Persistent Identifiers
Subjects
free text keywords: Landscape patterns, data mining, tropical deforestation, land use change, General Earth and Planetary Sciences, Land use, Data processing, Amazon rainforest, Computer science, Classifier (linguistics), Decision tree, Cartography, Deforestation, Land cover, Land use, land-use change and forestry
Any information missing or wrong?Report an Issue