Quantifying pruning impacts on olive tree architecture and annual canopy growth by using UAV-based 3D modelling

Table 1 A sample of the output dataset delivered by the customized OBIA algorithm

Tree ID	Row	Column	Central coordinates^a		Pruning treatment	Projected canopy area (m²)			Tree height (m)			Crown volume (m³)
Tree ID	Row	Column	X	Y	Pruning treatment	Date 1	Date 2	Date 3	Date 1	Date 2	Date 3	Date 1	Date 2	Date 3
1	1	1	485,726	4,217,762	Traditional	15.38	12.44	17.24	3.81	3.72	3.75	44.09	34.74	43.16
2	1	2	485,732	4,217,760	Traditional	15.88	9.61	16.69	4.10	4.01	4.14	47.75	27.52	44.68
3	1	3	485,738	4,217,757	Traditional	13.98	10.77	14.58	3.91	3.62	3.70	35.42	26.68	34.68
…	…	…	…	…	…	…	…	…	…	…	…	…	…	…
217	10	1	485,786	4,217,808	Adapted	15.34	5.16	11.13	4.37	4.04	4.43	43.81	13.28	31.43
218	10	2	485,789	4,217,806	Adapted	14.96	5.46	12.26	3.81	3.80	3.97	43.81	15.15	35.45
219	10	3	485,795	4,217,803	Adapted	12.64	7.62	13.02	4.53	3.77	3.45	31.73	18.99	27.43
…	…	…	…	…	…	…	…	…	…	…	…	…	…	…
433	19	1	485,840	4,217,852	Mechanical	7.00	5.75	7.20	3.85	3.48	3.83	18.78	15.67	17.68
434	19	2	485,846	4,217,851	Mechanical	10.11	10.00	13.64	4.31	3.58	3.79	27.28	26.73	31.97
435	19	3	485,850	4,217,848	Mechanical	13.55	13.46	14.93	4.17	3.54	3.61	43.87	39.38	42.49
…	…	…	…	…	…	…	…	…	…	…	…	…	…	…
648	27	24	486,017	4,217,841	Mechanical	6.06	5.93	6.30	3.48	3.34	3.54	15.27	14.52	15.46

ISSN: 1746-4811