Journal of Remote Sensing & GIS

Liana Oighenstein Anderson

Publications

• Research Article
  Development of a Point-based Method for Map Validation and Confidence Interval Estimation: A Case Study of Burned Areas in Amazonia
  Author(s): Liana Oighenstein Anderson, David Cheek, Luiz EOC Aragão, Luaê Andere, Brenda Duarte, Natália Salazar, André Lima, Valdete Duarte and Egidio AraiLiana Oighenstein Anderson, David Cheek, Luiz EOC Aragão, Luaê Andere, Brenda Duarte, Natália Salazar, André Lima, Valdete Duarte and Egidio Arai
  
  Forest fires and their associated emissions are a key component for the efficient implementation of the Reducing Emissions from Deforestation and Forest Degradation (REDD+) policy. The most suitable method for quantifying large scale fire-associated impacts is by mapping burned areas using remote sensing data. However, to provide robust quantification of the impacts of fire and support coherent policy decisions, these thematic maps must have their accuracy quantitatively assessed. The aim of this research is to present a point-based validation method developed for quantifying the accuracy of burned area thematic maps and test this method in a study case in the Amazon. The method is general; it can be applied to any thematic map consisting of two land cover classes. A stratified random sampling scheme is used to ensure that each class is represented adequately. The confidence intervals.. View More»
  DOI: 10.4172/2469-4134.1000193

  Abstract PDF