All Outputs (98)
Enhancing the spatial resolution of satellite-derived land surface temperature mapping for urban areas (2015)
Journal Article
Land surface temperature (LST) is an important environmental variable for urban studies such as those focused on the urban heat island (UHI). Though satellite-derived LST could be a useful complement to traditional LST data sources, the spatial resol... Read More about Enhancing the spatial resolution of satellite-derived land surface temperature mapping for urban areas.
Usability of VGI for validation of land cover maps (2015)
Journal Article
Volunteered Geographic Information (VGI) represents a growing source of potentially valuable data for many applications, including land cover map validation. It is still an emerging field and many different approaches can be used to take value from V... Read More about Usability of VGI for validation of land cover maps.
Valuing map validation: the need for rigorous land cover map accuracy assessment in economic valuations of ecosystem services (2015)
Journal Article
Valuations of ecosystem services often use data on land cover class areal extent. Area estimates from land cover maps may be biased by misclassification error resulting in flawed assessments and inaccurate valuations. Adjustment for misclassification... Read More about Valuing map validation: the need for rigorous land cover map accuracy assessment in economic valuations of ecosystem services.
Good practices for estimating area and assessing accuracy of land change (2014)
Journal Article
The remote sensing science and application communities have developed increasingly reliable, consistent, and robust approaches for capturing land dynamics to meet a range of information needs. Statistically robust and transparent approaches for asses... Read More about Good practices for estimating area and assessing accuracy of land change.
Rating crowdsourced annotations: evaluating contributions of variable quality and completeness (2013)
Journal Article
Crowdsourcing has become a popular means to acquire data about the Earth and its environment inexpensively, but the data-sets obtained are typically imperfect and of unknown quality. Two common imperfections with crowdsourced data are the contributio... Read More about Rating crowdsourced annotations: evaluating contributions of variable quality and completeness.
Assessing the accuracy of volunteered geographic information arising from multiple contributors to an internet based collaborative project (2013)
Journal Article
The recent rise of neogeography and citizen sensing has increased the opportunities for the use of crowdsourcing as a means to acquire data to support geographical research. The value of the resulting volunteered geographic information is, however, o... Read More about Assessing the accuracy of volunteered geographic information arising from multiple contributors to an internet based collaborative project.
Impact of land cover patch size on the accuracy of patch area representation in HNN-based super resolution mapping (2012)
Journal Article
Mixed pixels are one of the largest sources of error and uncertainty in mapping from remotely sensed data. A Hopfield neural network based approach to super-resolution mapping has become popular for mapping at a sub-pixel scale, partly because it see... Read More about Impact of land cover patch size on the accuracy of patch area representation in HNN-based super resolution mapping.
An overview of recent remote sensing and GIS based research in ecological informatics (2011)
Journal Article
This article provides an overview of some of the recent research in ecological informatics involving remote sensing and GIS. Attention focuses on a selected range of issues including topics such as the nature of remote sensing data sets, issues of ac... Read More about An overview of recent remote sensing and GIS based research in ecological informatics.
Feature selection for classification of hyperspectral data by SVM (2010)
Journal Article
SVM are attractive for the classification of remotely sensed data with some claims that the method is insensitive to the dimensionality of the data and so not requiring a dimensionality reduction analysis in pre-processing. Here, a series of classifi... Read More about Feature selection for classification of hyperspectral data by SVM.
Assessing the accuracy of land cover change with imperfect ground reference data (2010)
Journal Article
The ground data used as a reference in the validation of land cover change products are often not an ideal gold standard but degraded by error. The effects of ground reference data error on the accuracy of land cover change detection and the accuracy... Read More about Assessing the accuracy of land cover change with imperfect ground reference data.
Crop classification by a support vector machine with intelligently selected training data for an operational application (2008)
Journal Article
The accuracy of supervised classification is dependent to a large extent on the training data used. The aim is often to capture a large training set to fully describe the classes spectrally, commonly with the requirements of a conventional statistica... Read More about Crop classification by a support vector machine with intelligently selected training data for an operational application.
RVM-based multi-class classification of remotely sensed data (2008)
Journal Article
The relevance vector machine (RVM), a Bayesian extension of the support vector machine (SVM), has considerable potential for the analysis of remotely sensed data. Here, the RVM is introduced and used to derive a multi-class classification of land cov... Read More about RVM-based multi-class classification of remotely sensed data.
Harshness in image classification accuracy assessment (2008)
Journal Article
Thematic mapping via a classification analysis is one of the most common applications of remote sensing. The accuracy of image classifications is, however, often viewed negatively. Here, it is suggested that the approach to the evaluation of image cl... Read More about Harshness in image classification accuracy assessment.
One-class classification for monitoring a specific land cover class: SVDD classification of fenland (2007)
Journal Article
Remote sensing is a major source of land cover information. Commonly, interest focuses on a single land cover class. Although a conventional multi-class classifier may be used to provide a map depicting the class of interest the analysis is not focus... Read More about One-class classification for monitoring a specific land cover class: SVDD classification of fenland.
A relative evaluation of multi-class image classification by support vector machines
Journal Article
Support vector machines (SVM) have considerable potential as classifiers of remotely sensed data. A constraint on their application in remote sensing has been their binary nature, requiring multi-class classifications to be based upon a large number... Read More about A relative evaluation of multi-class image classification by support vector machines.
The comparison of classification accuracy statements has generally been based upon tests of difference or inequality when other scenarios and approaches may be more appropriate. Procedures for evaluating two scenarios with interest focused on the sim... Read More about Classification accuracy comparison: hypothesis tests and the use of confidence intervals in evaluations of difference, equivalence and non-inferiority.