Estimating the size of urban populations using Landsat images: a case study of Bo, Sierra Leone, West Africa

Table 9 Measured and estimated values of population and population density

(1) Name	2) p = Population	(3) Measured area in km\(^2\)	(4) d = Persons per km\(^2\)	(5) Estimated \({\hat{d}}\)	(6) Estimated \({\hat{p}}\)	(7) RE (%)
Moibawo Farm	135	0.5	270	206.13	103	− 24
Roma	139	0.04	3475	3818.48	153	10
Bo Central	273	0.066	4136.36	3753.27	248	− 9
Toubu	454	0.016	28375	27852.13	446	− 2
Salina	580	0.467	1241.97	1164.25	544	− 6
Dodo	597	0.049	12183.67	12234.85	600	0
Reservation	637	2.329	273.51	282.25	657	3
Kpetewoma	640	0.197	3248.73	2918.91	575	− 10
Lewabu	879	0.479	1835.07	2100.07	1006	14
Tengbewabu	1068	0.68	1570.59	1770.75	1204	13
New York	1088	1.513	719.1	585.41	886	− 19
Komende	1103	0.196	5627.55	5780.18	1133	3
Kindia Town	1160	0.146	7945.21	8806.6	1286	11
New Site	1248	0.686	1819.24	2061.33	1414	13
Yemoh Town	1858	0.404	4599.01	5379.96	2174	17
Njai Town	2298	0.216	10638.89	10524.21	2273	− 1
Kissi Town	2490	0.196	12704.08	12479.6	2446	− 2
Nduvuibu	2552	0.493	5176.47	4803.58	2368	− 7
New London	2873	0.597	4812.4	4487.98	2679	− 7
Kulanda Town	3882	0.294	13204.08	12452.93	3661	− 6

This table lists the (1) section name (2) measured section population (3) measured section area in \(km^2\) (4) population density \(d = Persons/km^2\) (5) the regression-estimated population density \({\hat{d}}\) (6) the estimated population/section \(\hat{p_{i}}=Area*{\hat{d}}\). (7) the % Relative Error (RE) for the density estimation

ISSN: 1476-072X