Automatic land-cover update approach integrating iterative training sample selection and a Markov Random Field model

A comprehensive change detection method for updating the National Land Cover Database to circa 2011

(2013) Suming Jin et al.   REMOTE SENSING OF ENVIRONMENT

Ground reference data error and the mis-estimation of the area of land cover change as a function of its abundance

(2013) Giles M. Foody   Remote Sensing Letters

Finer resolution observation and monitoring of global land cover: first mapping results with Landsat TM and ETM+ data

(2012) Peng Gong et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

An automated approach for updating land cover maps based on integrated change detection and classification methods

(2012) Xuehong Chen et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Vegetation classification method with biochemical composition estimated from remote sensing data

(2011) Kun Jia et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Spatial patterns and driving forces of land use change in China during the early 21st century

(2010) Jiyuan Liu et al.   Journal of Geographical Sciences

Assessing the accuracy of land cover change with imperfect ground reference data

(2010) Giles M. Foody   REMOTE SENSING OF ENVIRONMENT

Classification accuracy comparison: Hypothesis tests and the use of confidence intervals in evaluations of difference, equivalence and non-inferiority

(2009) Giles M. Foody   REMOTE SENSING OF ENVIRONMENT

Updating the 2001 National Land Cover Database land cover classification to 2006 by using Landsat imagery change detection methods

(2009) George Xian et al.   REMOTE SENSING OF ENVIRONMENT

Using local transition probability models in Markov random fields for forest change detection

(2007) Desheng Liu et al.   REMOTE SENSING OF ENVIRONMENT