Geospatial Analysis of Urban Expansion Using Remote Sensing Methods and Data: A Case Study of Yangtze River Delta, China

Table 2

Classification accuracy evaluation results.

Year	Classification data	Farmland	Forest	Grassland	Water bodies	Construction land	Unused land	Total	Producer’s accuracy (%)
	Verification data
2000	Farmland	181	6	9	1	3	4	204	88.73
	Forest	5	182	5	0	2	3	197	92.39
	Grassland	6	6	180	2	2	4	200	90.00
	Water bodies	1	0	1	190	4	4	200	95.00
	Construction land	2	3	2	4	186	2	199	93.47
	Unused land	5	3	3	3	3	183	200	91.50
	Total	200	200	200	200	200	200	1200
	User’s accuracy (%)	90.50	91.00	90.00	95.00	93.00	91.50
Overall accuracy = 91.83%; Kappa coefficient = 0.90
2017	Farmland	191	2	4	1	1	3	202	94.55
	Forest	3	191	3	0	0	1	198	96.46
	Grassland	2	3	189	0	1	2	197	95.94
	Water bodies	0	0	0	195	3	2	200	97.50
	Construction land	1	1	2	3	192	2	201	95.52
	Unused land	3	3	2	1	3	190	202	94.06
	Total	200	200	200	200	200	200	1200
	User’s accuracy (%)	95.50	95.50	94.50	97.50	96.00	95.00
Overall accuracy = 95.67%; Kappa coefficient = 0.95