UAV LiDAR Point Cloud Data Combined with Particle Tracking and Velocity Measurement to Monitor River Runoff

Xiaolin SANG; Rui JIN; Minghu ZHANG

doi:10.11873/j.issn.1004-0323.2025.1.0098

Remote Sensing Technology and Application, Volume. 40, Issue 1, 98(2025)

UAV LiDAR Point Cloud Data Combined with Particle Tracking and Velocity Measurement to Monitor River Runoff

Xiaolin SANG, Rui JIN^*, and Minghu ZHANG

State Key Laboratory of Cryosphere Science and Frozen Soil Engineering，Heihe Remote Sensing Experimental Research Station， Northwest Institute of Eco-Environment and Resources， Chinese Academy of Sciences，Lanzhou730000， China

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Figures & Tables(11)

Fig. 1. Summary map of the study area

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Fig. 2. Overall technical process

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Fig. 3. The movement of cloth particles

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Fig. 4. Denoising Results of Point Cloud Filtering at Various Cloth Mesh Resolutions

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Fig. 5. The boundary line between water and land in the river channel and the cross-section of the river above water

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Fig. 6. River section

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Fig. 7. The location of tracer particles in the river

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Fig. 8. Tracking the tracer particles

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Table 1. Table 1Sectional area and velocity data

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Table 1. Table 1Sectional area and velocity data

实验组号	流速/（m/s）/分段断面面积/m²
实验组号	分断面1	分断面2	分断面3	分断面4	分断面5	分断面6	分断面7		分断面8	分断面9	分断面10
1	0.59/1.92	0.69/3.65	0.47/3.08	0.68/3.16	0.68/3.76	0.63/1.74		0.70/4.22	0.67/8.58
2	0.27/0.56	0.49/1.45	0.53/9.27	0.7/8.28	0.67/6.38	0.72/5.30		0.79/11.68	0.8/14.25	0.67/7.13	0.42/0.39
3	0.42/0.96	0.62/5.30	0.87/5.59	0.67/4.79	0.58/2.20	0.87/6.34		0.58/5.19	0.85/10.37	0.80/13.71	1.02/4.76
4	0.16/0.50	0.57/2.24	0.69/1.72	0.7/4.99	0.65/5.94	0.85/5.32		0.73/10.38	0.78/24.35	1.20./6.29	0.8/1.26
5	0.25/0.16	0.65/1.80	0.74/3.70	0.95/2.99	0.77/5.30	0.73/10.80		1.01/6.66	1.32/8.23	1.57/26.99
6	0.68/1.91	0.75/4.52	0.76/7.06	0.99/8.77	1.11/11.82	1.36/28.67
7	0.41/0.33	0.33/1.07	0.47/0.45	0.48/3.30	0.62/3.60	0.94/14.12		0.57/4.30
8	0.52/0.26	0.53/1.53	0.66/5.60	0.93/4.73	0.54/5.30	1.12/13.86
9	0.47/0.28	0.72/2.96	0.85/3.43	0.48/3.11	0.75/14.55	0.87/9.45		0.64/3.27
10	0.41/1.74	0.53/4.12	0.54/4.65	0.6/7.08	0.78/7.29	0.72/8.07		0.88/19.23	0.64/12.03
11	0.13/0.02	0.22/1.73	0.46/3.86	0.51/2.68	0.60/4.51	0.64/9.78		0.89/39.6
12	0.23/6.71	0.25/3.79	0.35/8.39	0.61/17.04	0.66/14.10	0.38/12.78
13	0.45/2.01	0.59/3.24	0.54/5.87	0.42/6.81	0.45/7.85	0.65/6.92		0.82/10.00	0.78/20.31
14	0.47/1.89	0.72/14.49	0.63/5.54	0.85/10.94	0.80/19.72	0.87/6.82		0.66/3.14
15	0.21/3.96	0.24/6.23	0.3/7.85	0.62/7.11	0.8/12.96	0.89/22.89
16	0.37/1.80	0.45/5.26	0.50/5.18	0.62/26.67	1.00/23.46
17	0.38/1.48	0.42/9.63	0.79/52.75
18	0.32/0.52	0.252.50	0.29/34.57
19	0.23/0.24	0.23/2.59	0.31/4.72	0.37/5.85	0.37/4.98	0.46/18.15
20	0.26/1.57	0.25/2.21	0.32/4.15	0.39/5.14	0.48/20.67
21	0.40/1.56	0.49/4.79	0.57/5.27	0.78/22.11
22	0.37/2.81	0.39/4.30	0.35/3.67	0.64/21.83
23	0.12/0.52	0.40/3.30	0.44/6.33	0.66/4.48	0.59/4.07	0.80/12.42		0.35/8.10
24	0.38/0.77	0.37/2.64	0.46/6.23	0.77/4.33	0.90/8.48	0.85/14.35

Table 2. Table 2Accuracy evaluation

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Table 2. Table 2Accuracy evaluation

实验组号	估算流量/(m³/s）	实测流量/（m³/s）	绝对误差（AA）	相对误差（RA）	RMSE	MPE	Pbias	NSE
1	44.89	43.30	1.59	3.67%
2	45.23	42.60	2.63	6.17%
3	46.20	43.10	3.10	7.19%
4	46.20	43.40	2.80	6.45%
5	47.96	43.55	4.41	10.13%
6	48.77	43.75	5.02	11.47%
7	20.11	18.86	1.25	6.63%
8	25.49	22.64	2.85	12.59%
9	30.05	37.50	7.54	19.60%
10	45.77	45.56	0.21	0.46%
11	47.73	44.10	3.63	8.23%	0.09	0.02	1.95%	0.94
12	40.05	44.46	4.41	9.92%
13	40.20	45.06	4.86	10.79%
14	49.75	46.14	3.61	7.82%
15	42.11	45.06	2.95	6.55%
16	45.62	44.10	1.52	3.45%
17	46.28	45.78	0.50	1.09%
18	17.66	17.39	0.27	1.55%
19	14.47	16.78	2.31	13.77%
20	14.21	16.90	2.69	15.92%
21	17.58	15.74	1.84	11.69%
22	17.65	15.60	2.05	13.14%
23	18.40	16.00	2.40	15.00%
24	20.75	19.80	0.95	4.79%

Table 3. Table 3Calculation results of river Manning flow

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Table 3. Table 3Calculation results of river Manning flow

实验组号	湿周 /m	水力半径 /m	水力梯度	曼宁流量 /（m³/s）	实测流量 /（m³/s）	绝对误差（AA）	相对误差（RA）	RMSE	MPE	Pbias	NSE
1	55.00	1.14		53.44	43.30	10.14	23.43%
2	59.28	1.04		49.73	42.60	7.13	16.74%
3	59.12	1.00		46.67	43.10	3.57	8.23%
4	59.38	1.06		51.40	43.40	8.00	18.44%
5	59.40	1.06		51.76	43.55	8.20	18.84%
6	59.40	1.07		52.27	43.75	8.52	19.47%
7	52.91	0.51		13.68	18.86	-5.18	-27.47%
8	54.33	0.63		19.53	22.64	-3.11	-13.74%
9	55.31	0.67		22.27	37.50	-15.23	-40.60%
10	59.46	1.08		53.03	45.56	7.47	16.39%
11	59.31	1.05	0.005 2	50.35	44.10	6.25	14.17%	6.86	0.56	12.68%	0.81
12	59.36	1.06		51.18	44.46	6.72	15.11%
13	59.38	1.06		51.43	45.06	6.37	14.14%
14	59.45	1.08		52.75	46.14	6.61	14.32%
15	59.24	1.03		48.81	45.06	3.75	8.31%
16	59.33	1.05		50.59	44.10	6.49	14.71%
17	59.44	1.07		52.57	45.78	6.80	14.84%
18	55.07	0.67		22.34	17.39	4.95	28.48%
19	54.93	0.67		21.84	16.78	5.06	30.14%
20	54.27	0.65		21.11	16.90	4.21	24.90%
21	54.27	0.62		19.28	15.74	3.534	22.47%
22	54.02	0.60		18.28	15.60	2.68	17.18%
23	55.66	0.70		24.36	16.00	8.36	52.22%
24	55.00	0.67		22.10	19.80	2.30	11.61%

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Xiaolin SANG, Rui JIN, Minghu ZHANG. UAV LiDAR Point Cloud Data Combined with Particle Tracking and Velocity Measurement to Monitor River Runoff[J]. Remote Sensing Technology and Application, 2025, 40(1): 98

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Paper Information

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Received: Mar. 5, 2024

Accepted: --

Published Online: May. 22, 2025

The Author Email: Rui JIN (jinrui@lzb.ac.cn)

DOI:10.11873/j.issn.1004-0323.2025.1.0098

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