alexa Development of a Point-based Method for Map Validation and Confidence Interval Estimation: A Case Study of Burned Areas in Amazonia | OMICS International | Abstract
ISSN: 2469-4134

Journal of Remote Sensing & GIS
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Research Article

Development of a Point-based Method for Map Validation and Confidence Interval Estimation: A Case Study of Burned Areas in Amazonia

Liana Oighenstein Anderson1,2,3*, David Cheek2, Luiz EOC Aragão3,4, Luaê Andere3, Brenda Duarte3, Natália Salazar3, André Lima5, Valdete Duarte3 and Egidio Arai3

1National Center for Monitoring and Early Warning of Natural Disasters – Cemaden, Technological Park of São José dos Campos, Dr. Altino Bondensan Road, 500, São José dos Campos - São Paulo, Brasil

2Environmental Change Institute, University of Oxford, Oxford, OX1 3QY, UK

3National Institute for Space Research – INPE. Av dos Astronautas, 1.751. Jd. Da Granja, São José dos Campos, São Paulo, Brazil

4College of Life and Environmental Sciences, University of Exeter, Exeter, EX4 4RJ, UK

4Department of Geographical Sciences, University of Maryland, 4321 Hartwick Rd Suite 400 College Park, MD, USA

*Corresponding Author:
Liana Oighenstein Anderson
National Center for Monitoring and Early Warning of Natural Disasters
– Cemaden, Technological Park of São José dos Campos
Dr. Altino Bondensan Road, 500
São José dos Campos - São Paulo, Brasil
Tel: +551232050154
E-mail: [email protected]

Received date: January 16, 2017; Accepted date: March 07, 2017; Published date: March 10, 2017

Citation: Anderson LO, Cheek D, Aragão LE, Andere L, Duarte B (2017) Development of a Point-based Method for Map Validation and Confidence Interval Estimation: A Case Study of Burned Areas in Amazonia. J Remote Sensing & GIS 6:193. doi: 10.4172/2469-4134.1000193

Copyright: © 2017 Anderson LO, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

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 for the user’s accuracies and for both overall accuracy and area error are calculated using the Wilson Score method and Jeffrey Perks interval, respectively. Such interval methods are novel in the context of map accuracy assessment. Despite the complexity of calculation of the confidence intervals, their use is recommended. A spreadsheet to calculate point and interval estimates is provided for users.

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