Digital and Geographical Feature Detection by Machine Learning Techniques Using Google Earth Engine for CPEC Traffic Management

Table 2

Biyearly differences starting from 2013 to 2021 for the classifiers and their prediction of water, vegetation, and urban areas in KM².

Classifier	Yearly difference from base year to each year	Area (KM)^2
		Water	Vegetation	Urban
SVM	2013-2014	-23,760.09	-10,935.41	34,695.50
	2013-2015	-25,816.56	-28,458.18	54,274.74
	2013-2016	-10,311.57	-3,611.17	13,922.75
	2013-2017	-6,350.62	-4,908.50	11,259.11
	2013-2018	-22,595.89	19,331.27	3,264.62
	2013-2019	-25,007.99	-4,012.76	29,020.75
	2013-2020	-2,363.35	-39,667.44	42,030.79
	2013-2021	-33,481.88	57,649.75	-24,167.86
CART	2013-2014	6,307.90	-8,836.35	2,528.45
	2013-2015	26,614.48	-27,071.06	456.57
	2013-2016	17,266.99	-16,967.82	-299.17
	2013-2017	3,938.86	-5,529.74	1,590.88
	2013-2018	5,811.34	5,635.25	-11,446.60
	2013-2019	15,867.22	-14,868.13	-999.09
	2013-2020	8,772.31	-21,932.82	13,160.50
	2013-2021	-5,493.70	24,242.30	-18,748.61
RF	2013-2014	13,088.99	-14,039.76	950.77
	2013-2015	27,617.60	-26,423.69	-1,193.91
	2013-2016	7,274.64	-8,160.50	885.86
	2013-2017	9,239.81	-6,292.20	-2,947.61
	2013-2018	-17,096.59	23,108.83	-6,012.25
	2013-2019	6,951.60	-4,601.68	-2,349.93
	2013-2020	36,684.59	-39,660.34	2,975.75
	2013-2021	-39,404.44	49,862.76	-10,458.33