*2.3.3 Quantitative land-cover/land-use classification accuracy assessment*

Using standard methods [70, 71], we performed a quantitative thematic/classification accuracy assessment on the finalized land-cover/land-use (LCLU) classified map, edited post-classification. We employed a stratified random sampling approach for generating the classification accuracy-assessment points/sample locations, and we used 100 such points per class [70, 71]. We used the DOQQ aerial photograph mosaic as the reference data; we evaluated the accuracy of the postclassification-edited LCLU map via manual/visual interpretation of the DOQQs at the stratified random point locations. This analysis enabled the generation of an error matrix from which we computed statistics, including the overall accuracy [72, 73]. The overall classification accuracy of the post-classification edited LCLU map was 76.5%.
