Figures & data
Table 1. Population of selected cities, ordered by 2010 population size.
Table 2. Landsat path/rows, years of acquisition, number of scenes and sensors used in the acquisition.
Table 3. Land use/land cover class (LULC) and number of pixels from Google Earth™ images retained for training and validation.
Table 4. NDVI threshold used for refining ground truth pixels collected using Google Earth.
Table 5. Accuracy assessments of classified images and total built-up area.
Figure 3. Two data points (30 m × 30 m) collected using Google Earth. The pixel on the left panel shows a mix of land cover classes, cropland (70%) and grass and herbaceous near Abuja, Nigeria. The pixel on the right panel shows a mixed pixel with buildings (80%) and unpaved roads (20%) near Kano, Nigeria.
![Figure 3. Two data points (30 m × 30 m) collected using Google Earth. The pixel on the left panel shows a mix of land cover classes, cropland (70%) and grass and herbaceous near Abuja, Nigeria. The pixel on the right panel shows a mixed pixel with buildings (80%) and unpaved roads (20%) near Kano, Nigeria.](/cms/asset/bfc2bc4f-99bb-487d-b930-e45b90f844a5/tlus_a_1280550_f0003_oc.jpg)