Quantifying Uncertainty for Estimates Derived from Error Matrices in Land Cover Mapping Applications: The Case for a Bayesian Approach

The use of land cover mappings built using remotely sensed imagery data has become increasingly popular in recent years. However, these mappings are ultimately only models. Consequently, it is vital for one to be able to assess and verify the quality of a mapping and quantify uncertainty for any estimates that are derived from them in a reliable manner.

• Publication year

  2020

• Venue

  International Symposium on Environmental Software Systems

• Publication date

  2020-02-05

• Fields of study

  Geography, Computer Science, Environmental Science

• Identifiers
  DOI 10.1007/978-3-030-39815-6_15
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• A meta-analysis of remote sensing research on supervised pixel-based land-cover image classification processes: General guidelines for practitioners and future research

  2016cited by this paper
• Eastern Europe's forest cover dynamics from 1985 to 2012 quantified from the full Landsat archive

  2015cited by this paper
• Optimizing sample size allocation to strata for estimating area and map accuracy

  2015cited by this paper
• Climate change and forest fires synergistically drive widespread melt events of the Greenland Ice Sheet

  2014cited by this paper
• Good practices for estimating area and assessing accuracy of land change

  2014cited by this paper
• A Change Detection Approach to Flood Mapping in Urban Areas Using TerraSAR-X

  2013cited by this paper
• Binomial Confidence Intervals and Contingency Tests: Mathematical Fundamentals and the Evaluation of Alternative Methods

  2013cited by this paper
• Making better use of accuracy data in land change studies: Estimating accuracy and area and quantifying uncertainty using stratified estimation

  2013cited by this paper
• Approaches to monitoring changes in carbon stocks for REDD+

  2013cited by this paper
• Change detection from remotely sensed images: From pixel-based to object-based approaches

  2013cited by this paper
• Mapping abandoned agriculture with multi-temporal MODIS satellite data

  2012cited by this paper
• Reduction in carbon uptake during turn of the century drought in western North America

  2012cited by this paper
• Implications of Classification of Methodological Decisions in Flooding Analysis from Hurricane Katrina

  2012cited by this paper
• Hyperspectral remote sensing of foliar nitrogen content

  2012cited by this paper
• Use of Landsat thermal imagery in monitoring evapotranspiration and managing water resources

  2012cited by this paper
• Predictive model for sustaining biodiversity in tropical countryside

  2011cited by this paper
• Surface modelling of soil properties based on land use information

  2011cited by this paper
• Implications of land use change on the national terrestrial carbon budget of Georgia

  2010cited by this paper
• Satellite-based global-ocean mass balance estimates of interannual variability and emerging trends in continental freshwater discharge

  2010cited by this paper
• Large-scale impacts of herbivores on the structural diversity of African savannas

  2009cited by this paper
• Bayesian analysis of thematic map accuracy data.

  2009cited by this paper
• A Bayesian approach to multi-source forest area estimation

  2008cited by this paper
• Climatic change and wetland desiccation cause amphibian decline in Yellowstone National Park

  2008cited by this paper
• From the Cover : Condition and fate of logged forests in the Brazilian Amazon

  2006cited by this paper
• Three-dimensional deformation caused by the Bam, Iran, earthquake and the origin of shallow slip deficit

  2005cited by this paper
• Developing a science of land change: challenges and methodological issues.

  2004cited by this paper
• Carbon emissions from tropical deforestation and regrowth based on satellite observations for the 1980s and 1990s

  2002cited by this paper
• Interval Estimation for a Binomial Proportion

  2001cited by this paper
• A large carbon sink in the woody biomass of Northern forests

  2001cited by this paper
• Approximate is Better than “Exact” for Interval Estimation of Binomial Proportions

  1998cited by this paper
• Bootstrap Methods and their Application

  1997cited by this paper
• THE USE OF CONFIDENCE OR FIDUCIAL LIMITS ILLUSTRATED IN THE CASE OF THE BINOMIAL

  1934cited by this paper

• Biophysically Informed Imaging Acquisition of Plant Water Status

  2020cites this paper