Determining tree species and crown width from unmanned aerial vehicle imagery in hilly loess region of west Shanxi, China: a case study from Caijiachuan watershed

doi:10.3969/j.issn.1004-1524.2021.08.18

Acta Agriculturae Zhejiangensis ›› 2021, Vol. 33 ›› Issue (8): 1505-1518.DOI: 10.3969/j.issn.1004-1524.2021.08.18

• Biosystems Engineering • Previous Articles Next Articles

Determining tree species and crown width from unmanned aerial vehicle imagery in hilly loess region of west Shanxi, China: a case study from Caijiachuan watershed

WU Ningshan¹^,²(), WANG Jiaxi¹^,², ZHANG Yan¹^,²^,^*(), YUAN Mutian¹^,², ZHANG Qi¹^,², GAO Chiyu¹^,²

1. School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083,China
2. Jixian Forest Ecosystem Studies, National Observation and Research Station, Beijing 100083,China).

Received:2021-01-14 Online:2021-08-25 Published:2021-08-27
Contact: ZHANG Yan

Abstract

Abstract:

In the present study, Caijiachuan Watershed in the hilly loess region of west Shanxi was selected as the study area to examine the feasibility of unmanned aerial vehicle (UAV) remote sensing in extracting forest species and stand characteristics. The information of forest species and crown width were identified and extracted from visible images of UAV using the object-based nearest neighbor classification method, and the accuracy was evaluated by comparison with field investigation. The presented method was also used in the watershed level to investigate forest species and canopy characteristics in the farmland sub-watershed and plantation sub-watershed. The results showed that the Kappa coefficient of the confusion matrix for forest species classification was 0.898 and 0.728 in the farmland sub-watershed and in the plantation sub-watershed, respectively, suggesting higher accuracy under the condition of low canopy density than that under multiple vegetation types with high canopy density. According to the determination coefficient between the extracted and measured crown width, the accuracy of crown width extraction of planted forests and economic forest (R²>0.7) was higher than that of secondary forests (R²=0.422 3). Based on the UAV remote sensing and the presented method, it was found that the mixed forest of Robinia pseudoacacia L., Pinus tabulaeformis Carr. and Platycladus orientalis(L.) Franco was dominant, along with the economic forest, Malus domestica Borkh. in the plantation sub-watershed, as the stand density of Pinus tabulaeform was 1 744 hm ^-2, with the average crown width of 2.24 m, ad the stand density of Malus domestica was 382 hm ^-2 with the average crown width of 4.26 m. There were 912 Malus domestica, with a stand density of 439 hm ^-2 and an average crown width of 3.84 m in the farmland sub-watershed. These results indicated that the proposed method coupled with UAV remote sensing would improve the efficiency and increase the accuracy of forest resource surveys with the capability in forest species classification, tree number counting and crown width estimation.

Key words: object-oriented classification, tree species classification, canopy characteristics, unmanned aerial vehicle imagey, loess region

CLC Number:

K903

WU Ningshan, WANG Jiaxi, ZHANG Yan, YUAN Mutian, ZHANG Qi, GAO Chiyu. Determining tree species and crown width from unmanned aerial vehicle imagery in hilly loess region of west Shanxi, China: a case study from Caijiachuan watershed[J]. Acta Agriculturae Zhejiangensis, 2021, 33(8): 1505-1518.

Figures/Tables 12

References 43

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样地类型 Plot type	经度 Longitude/(°)	纬度 Latitude/(°)	海拔高度 Altitude/m	坡度 Slope/(°)	坡向 Aspect
油松Pinus tabuliformis	110°45'32″E	36°16'30″N	1 117	26	S195°
侧柏Platycladus orientalis	110°45'54″E	36°16'24″N	1 120	28	SE145°
刺槐Robinia pseudoacacia	110°44'29″E	36°16'33″N	1 173	16	N17°
次生林Secondary forest	110°44'10″E	36°16'02″N	1 044	21	S166°
油松侧柏混交林Pinus tabuliformis & Platycladus orientalis mixed forest	110°45'34″E	36°16'25″N	1 120	28	W275°
刺槐油松混交林	110°45'33″E	36°16'31″N	1 120	35	W254°
Robinia pseudoacacia & Pinus tabuliformis mixed forest
刺槐侧柏混交林	110°44'23″E	36°16'34″N	1 195	33	SE126°
Robinia pseudoacacia & Platycladus orientalis mixed forest
梨Pyrus spp.	110°44'52″E	36°16'37″N	1 171	8	SE175°
苹果Malus domestica	110°45'08″E	36°16'20″N	1 109	13	NE56°
山杏Armeniaca vulgaris	110°44'57″E	36°16'38″N	1 170	12	NE37°

样地类型 Plot type	经度 Longitude/(°)	纬度 Latitude/(°)	海拔高度 Altitude/m	坡度 Slope/(°)	坡向 Aspect
油松Pinus tabuliformis	110°45'32″E	36°16'30″N	1 117	26	S195°
侧柏Platycladus orientalis	110°45'54″E	36°16'24″N	1 120	28	SE145°
刺槐Robinia pseudoacacia	110°44'29″E	36°16'33″N	1 173	16	N17°
次生林Secondary forest	110°44'10″E	36°16'02″N	1 044	21	S166°
油松侧柏混交林Pinus tabuliformis & Platycladus orientalis mixed forest	110°45'34″E	36°16'25″N	1 120	28	W275°
刺槐油松混交林	110°45'33″E	36°16'31″N	1 120	35	W254°
Robinia pseudoacacia & Pinus tabuliformis mixed forest
刺槐侧柏混交林	110°44'23″E	36°16'34″N	1 195	33	SE126°
Robinia pseudoacacia & Platycladus orientalis mixed forest
梨Pyrus spp.	110°44'52″E	36°16'37″N	1 171	8	SE175°
苹果Malus domestica	110°45'08″E	36°16'20″N	1 109	13	NE56°
山杏Armeniaca vulgaris	110°44'57″E	36°16'38″N	1 170	12	NE37°

类型 Type	苹果 Malus domestica	刺槐 Robinia pseudoacacia	灌木 Shrub	其他乔木 Other tree species	建设用地 Construction land	旱地 Dry land	合计 Total	用户精度 User accuracy/%
苹果Malus domestica	51	0	3	0	0	2	56	91.1
刺槐Robinia pseudoacacia	0	67	2	3	0	0	72	93.1
灌木Shrub	0	0	33	2	1	0	36	91.7
其他乔木Other tree species	1	4	0	43	0	0	48	89.6
建设用地Construction land	0	0	0	0	9	0	9	100
旱地Dry land	0	0	0	0	0	8	8	100
合计Total	52	71	38	48	10	10	—	—
生产者精度Producer accuracy/%	98.1	94.4	86.8	89.6	90.0	80.0	—	—

类型 Type	苹果 Malus domestica	刺槐 Robinia pseudoacacia	灌木 Shrub	其他乔木 Other tree species	建设用地 Construction land	旱地 Dry land	合计 Total	用户精度 User accuracy/%
苹果Malus domestica	51	0	3	0	0	2	56	91.1
刺槐Robinia pseudoacacia	0	67	2	3	0	0	72	93.1
灌木Shrub	0	0	33	2	1	0	36	91.7
其他乔木Other tree species	1	4	0	43	0	0	48	89.6
建设用地Construction land	0	0	0	0	9	0	9	100
旱地Dry land	0	0	0	0	0	8	8	100
合计Total	52	71	38	48	10	10	—	—
生产者精度Producer accuracy/%	98.1	94.4	86.8	89.6	90.0	80.0	—	—

类型 Type	侧柏 Platycladus orientalis	刺槐 Robinia pseudoacacia	油松 Pinus tabuliformis	梨 Pyrus spp.	苹果 Malus domestica	灌木 Shrub	其他乔木 Other tree species	裸地 Bare land	道路 Road	合计 Total	用户精度 User accuracy/%
侧柏Platycladus orientalis	30	9	0	0	0	2	3	0	0	44	68.2
刺槐Robinia pseudoacacia	2	47	4	0	1	0	7	0	1	62	75.8
油松Pinus tabuliformis	1	4	31	0	0	0	3	0	0	39	79.5
梨Pyrus spp.	0	0	0	29	3	1	0	0	0	33	87.9
苹果Malus domestica	0	0	0	0	32	5	0	0	0	37	86.5
灌木Shrub	1	2	1	2	3	22	0	1	0	32	68.8
其他乔木	1	4	2	0	0	3	22	0	0	32	73.3
Other tree species
裸地Bare land	0	0	0	0	0	0	0	11	3	14	78.6
道路Road	0	0	0	0	0	0	0	1	4	5	80.0
合计Total	35	66	38	31	39	33	35	13	8	—	—
生产者精度	85.7	71.2	81.6	93.6	82.1	66.7	62.9	84.6	50.0	—	—
Producer accuracy/%

Determining tree species and crown width from unmanned aerial vehicle imagery in hilly loess region of west Shanxi, China: a case study from Caijiachuan watershed

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子流域 Sub-watershed	树种 Tree species	株数 Plant number	林分密度 Stand density/hm^-2	郁闭度 Canopy density/%	平均冠幅 Average crown width/m
人工林子流域Plantation sub-watershed	油松Pinus tabuliformis	8 268	1 744	68.70	2.24
	苹果Malus domestica	491	382	50.40	4.26
	刺槐Robinia pseudoacacia	14 339	997	97.00	3.52
	侧柏Platycladus orientalis	941	1 862	55.58	1.95
	梨Pyrus spp.	107	502	63.36	4.01
农牧复合子流域Agro-pastoral sub-watershed	油松Pinus tabuliformis	2 155	1 051	61.90	2.74
农地子流域Farmland sub-watershed	苹果Malus domestica	912	439	50.90	3.84