多源遥感影像融合处理提取格拉丹东雪山区域特征信息

许伟; 杨德芳; 陈李昊; 罗锴澍; 张生鹏; 张彦泽; 李龙; 陈刚

doi:10.19509/j.cnki.dzkq.tb20220545

多源遥感影像融合处理提取格拉丹东雪山区域特征信息

doi: 10.19509/j.cnki.dzkq.tb20220545

许伟^{1, 2,},
杨德芳²,
陈李昊³,
罗锴澍⁴,
张生鹏⁵,
张彦泽¹,
李龙²,
陈刚^1, ,

1.
中国地质大学(武汉)地质探测与评估教育部重点实验室, 武汉 430074
2.
青海省自然资源遥感中心, 西宁 810000
3.
中国地质大学(北京)土地科学技术学院, 北京 100083
4.
湖北大学资源环境学院, 武汉 430062
5.
青海省基础测绘院, 西宁 810000

基金项目:

国家自然科学基金项目 42274012

中国地质大学(武汉)长江源科考“三全育人”示范项目 2022171

详细信息

作者简介:
许伟, E-mail: CUGxuwei@cug.edu.cn

通讯作者:
陈刚, E-mail: ddwhcg@cug.edu.cn

中图分类号: P407.8
计量
- 文章访问数: 376
- PDF下载量: 39
- 被引次数: 0
出版历程
- 收稿日期: 2022-09-28
- 录用日期: 2022-11-15
- 修回日期: 2022-11-09

Fusion processing of multisource remote sensing images for extracting characteristic information from the Geladandong Snow Mountain area

1.
Key Laboratory of Geological Survey and Evaluation, Ministry of Education, China University of Geosciences(Wuhan), Wuhan 430074, China
2.
Qinghai Remote Sensing Center for Natural Resources, Xining 810000, China
3.
School of Land Science and Geomatics, China University of Geosciences(Beijing), Beijing 100083, China
4.
Faculty of Resources and Environmental Science, Hubei University, Wuhan 430062, China
5.
Qinghai Basic Surveying and Mapping Institute, Xining 810000, China

More Information

Author Bio:
XU Wei, E-mail: CUGxuwei@cug.edu.cn

Corresponding author: CHEN Gang, E-mail: ddwhcg@cug.edu.cn

摘要

摘要:
2022年7月中国地质大学(武汉)冰川勘测组与登山组, 在格拉丹东雪山开展了“第二次大学生长江源科考”工作。为详细分析该区域冰川时空特征信息, 以此次科研数据为支撑, 结合光学遥感影像解译、InSAR形变信息提取、激光雷达测高及高精度大地测量, 进行了多源遥感影像融合处理研究。针对格拉丹东雪山及典型冰川, 采用高分卫星GF1、GF6、GF7、ZY3与Landsat7遥感影像, 利用空三加密、频域影像互相关匹配、波段比值法及目视解译，提取区域DOM、冰川面积及条数分布；利用Sentinel-1A、ICESat-2影像，以SAR影像空间域互相关偏移量追踪方法为支撑，分别提取冰川表面流速及高程变化；利用青海省域北斗CORS站点，采用Gamit/Globk双差无电离层组合模型、卫星星站差分(real-time extended, 简称RTX)及RTK(real-time kinematic)方法，计算所有控制点三维空间坐标及高程异常值。结果表明: 格拉丹东雪山共发育冰川512条，年均增长率为3.12%，面积1 111.96 km²，年均退缩速率为0.63%；姜根(古)迪如冰川日均最大流速为0.25 cm/d，年均最大流速为91.25 cm/a，其南支最大退缩值、堆积值及年变化速率分别为-74.63 m、38.44 m、-5.29~3.09 m/a，北支最大退缩值、堆积值和年变化速率-39.17 m、35.74 m、-3.02~2.85 m/a；所有控制点中误差及区域似大地水准面精化模型精度均达到了mm级。研究成果可以为后续在该地区开展相关冰川研究工作提供数据支撑。
- 光学遥感解译 /
- SAR偏移量追踪 /
- 激光雷达测高 /
- 北斗CORS /
- 格拉丹东雪山
Abstract: Objective
In July 2022(Beijing time), the glacier survey group and mountaineering group of the China University of Geosciences (Wuhan) performed the "Second University Students' Scientific Expedition to the Yangtze River" in the Geladandong Snow Mountain area.
Methods
To analyse the spatial and temporal characteristics of glaciers in this region, scientific research data were combined with optical remote sensing image interpretation, InSAR deformation information extraction, LiDAR altimetry measurements, and high-precision geodetic survey data to conduct multisource remote sensing image fusion processing research. Aerial triangulation encryption, frequency domain image matching, the waveband ratio method, and visual interpretation were used to extract DOM, DSM, glacier area and number distribution information from high-resolution satellite GF1, GF6, GF7, ZY3, and Landsat 7 remote sensing images of Geladandong Snow Mountain and typical glaciers.Sentinel-1A and ICESat-2 images were used, supported by the cross-correlation offset tracking method in the SAR image space domain, to extract glacier surface velocity and elevation changes, respectively. The 3D spatial coordinates and elevation outliers of all the control points were calculated for the BDS CORS station in Qinghai Province using the Gamit/Globk double difference ionospheric combination model, real-time extended (RTX), and real-time kinematic (RTK) techniques.
Results
The results revealed 512 glaciers in the Geladandong Snow Mountain area, with an average annual growth rate of 3.12%, an area of 1 111.96 km², and an average annual retreat rate of 0.63%.The average daily maximum velocity of the Jianggen (gu) Diru glacier is 0.25 cm/d, and the average annual maximum velocity is 91.25 cm/a. The maximum retreat value, accumulation value and annual change rate of Jianggen (gu) Diru glacier on the south side and north side are -74.63 m, 38.44 m, -5.29 m/a to 3.09 m/a, -39.17 m, 35.74 m, -3.02 m/a to 2.85 m/a, respectively. The precision of the regional quasigeoid refinement model and the errors at all control sites both attained mm levels.
Conclusion
The aforementioned findings can provide data support for subsequent research on glaciers in this region.
- optical remote sensing interpretation /
- SAR offset tracking /
- LiDAR altimetry /
- BDS CORS /
- Geladandong Snow Mountain
注释:

所有作者声明不存在利益冲突。

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图 1 格拉丹东雪山监测范围及数据类型

a.格拉丹东雪山DEM影像及卫星影像范围；b.格拉丹东雪山基础控制点及像控点点位

Figure 1. Monitoring scope and data types of the Geladandong Snow Mountain

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图 2 不同时期冰川面积及变化情况

a.冰川数量变化趋势；b.冰川面积变化趋势；c.冰川面积变化量；d.冰川面积变化速率

Figure 2. Changes in glacier area and variation during different periods

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图 3 格拉丹东雪山代表性冰川面积及条数变化情况

A.姜根(古)迪如冰川监测区面积变化: a1, a2, a3.冰舌发育情况; b1, b2, b3.冰川中段发育情况; c, d.冰舌面积变化及退缩对比解译；B.a′1, a′2, b′1, b′2, c′1, c′2, d′1, d′2, d′3分别为代表性平顶冰川、悬冰川、山谷冰川及冰斗冰川面积变化

Figure 3. Changes in area and number of representative glacier in the Geladandong Snow Mountain

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图 4 不同海拔冰川面积变化情况

Figure 4. Variation in glacier area at different elevations

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图 5 姜根(古)迪如冰川表面流速及DEM差值图

a. 不同影像获取时间影像相对空间基数分布; b~e. 2018-2021年4 a姜根(古)迪如冰川表面日均流速; f. 2018-2019年姜根(古)迪如冰川DEM差值; g. 2020-2021年姜根(古)迪如冰川DEM差值

Figure 5. Surface velocity and DEM difference at the Jianggen(gu) Diru Glacier

下载: 全尺寸图片幻灯片

图 6 姜根(古)迪如冰川高程变化监测分析

a.姜根(古)迪如冰川ICESat-2监测轨迹与时间图；b.姜根(古)迪如冰川ICESat-2与DEM高程差分级图；c.姜根(古)迪如南支冰川高程变化监测图；d.姜根(古)迪如南支冰川高程变化速率监测图；e.姜根(古)迪如北支冰川高程变化监测图；f.姜根(古)迪如北支冰川高程变化速率监测图

Figure 6. Analysis of the monitoring of elevation variation in Jianggen (gu) Diru Glacier

下载: 全尺寸图片幻灯片

图 7 格拉丹东雪山GNSS测量控制网及卫星影像控制点分布

a.格拉丹东雪山大本营测量控制网；b.格拉丹东雪山北斗CORS站点首级控制网；c.格拉丹东雪山卫星影像控制点测量点位分布

Figure 7. GNSS measurement control network and satellite image control point distribution in the Geladandong Snow Mountain

下载: 全尺寸图片幻灯片

图 8 格拉丹东雪山GNSS大地测量高程异常值及中误差

a.似大地水准面高程异常值及控制点分布；b.似大地水准面高程异常值散点；c.似大地水准面精化模型线性拟合；d.似大地水准面精化模型最邻近点拟合；e.所有控制点高程异常值；f.控制点中误差

Figure 8. GNSS geodetic elevation outliers and median errors in the Geladandong Snow Mountain dataset

下载: 全尺寸图片幻灯片

表 1 光学遥感影像数据源

Table 1. Optical remote sensing image data sources

序号	数据源	传感器	重访周期/d	波段数	分辨率/m		有效景数/景	现时性	数据覆盖度/%	用途
序号	数据源	传感器	重访周期/d	波段数	全色	多光谱	有效景数/景	现时性	数据覆盖度/%	用途
1	GF-1	WFV	4	4	2.0	8.0	49	2012-2021年	75	影像数据处理，冰川面积、边界及条数提取
2	GF1B/GF1C/GF1D	WFV	4	4	2.0	8.0	65	2012-2020年	89
3	GF7	WFV	5	4	0.7	2.8	28	2012-2020年	85
4	GF6	WFV	4	5	2.0	8.0	32	2016-2021年	70
5	ZY3-01C/02C	WFV	3	4	2.1	5.8	84	2016-2021年	68
6	Landsat7	TM/ETM+	16	7	15~30		36	2000/2015/2020年	73
7	ALOS PALSAR DEM	—	—	—	12.5		—	2011年	100
8	第二次冰川编目	—	—	—	—	—	—	2007年	100	界线数据

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表 2 不同时期冰川面积及变化情况统计

Table 2. Statistical table of glacier area and variation in different periods

监测年份	2012	2013	2014	2015	2016	2017	2018	2019	2020
冰川数量/条	496	496	496	498	499	502	503	504	512
冰川面积/km²	1 176.65	1 173.71	1 162.75	1 148.23	1 145.05	1 137.92	1 132.84	1 121.64	1 111.96
较上年变化量/km²	—	-2.94	-10.96	-14.52	-3.18	-7.13	-5.08	-11.20	-9.68
变化率/%	—	0.25	0.93	1.25	0.28	0.62	0.45	0.99	0.86

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表 3 姜根(古)迪如冰川不同时期面积及变化情况统计

Table 3. Statistical table of glacial area and variation during different periods for the Jianggen (gu) Diru Glacier

类别	不同时期冰川面积及变化		两支冰川不同时期面积及变化
类别	不同时期冰川面积及变化		北支冰川		南支冰川
年份	2020	2021	2020	2021	2020	2021
数量/个	2	2	1	1	1	1
周长/km	78.14	101.13	36.22	36.24	41.88	41.90
面积/km²	58.38	58.12	25.12	25.01	33.26	33.11
周长较上年变化/km	—	22.99	—	0.02	—	0.02
面积较上年变化/km²	—	-0.26	—	-0.11	—	-0.15
面积变化率/%	—	-0.45	—	-0.44	—	-0.45

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表 4 不同海拔冰川面积变化情况统计

Table 4. Statistical table of variation in glacier area at different elevations

监测年份	平均海拔范围/m
	< 5 600	[5 600, 5 700)	[5 700, 5 800]	>5 800
	冰川面积/km²
2012	173.80	288.18	492.82	221.85
2013	189.36	286.10	478.40	219.85
2014	171.00	286.35	486.78	218.62
2015	168.37	278.83	475.57	225.46
2016	213.29	278.42	428.50	224.85
2017	164.98	276.81	472.05	224.08
2018	162.46	274.85	471.76	223.79
2019	161.84	271.75	397.43	290.63
2020	149.21	276.46	396.68	289.61

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表 5 Sentinel-1A数据统计表

Table 5. Statistical table of Sentinel-1A data

序号	轨道ID	升/降轨	采集时间	序号	轨道ID	升/降轨	采集时间	序号	轨道ID	升/降轨	采集时间
1	150	Descending	2018/01/15	9	150	Descending	2019/04/16	17	150	Descending	2020/10/31
2	150	Descending	2018/02/08	10	150	Descending	2019/05/10	18	150	Descending	2020/11/24
3	150	Descending	2018/04/21	11	150	Descending	2019/11/18	19	150	Descending	2021/01/23
4	150	Descending	2018/05/15	12	150	Descending	2019/12/12	20	150	Descending	2021/02/16
5	150	Descending	2018/10/06	13	150	Descending	2020/01/29	21	150	Descending	2021/04/17
6	150	Descending	2018/10/30	14	150	Descending	2020/02/22	22	150	Descending	2021/05/11
7	150	Descending	2019/01/10	15	150	Descending	2020/04/10	23	150	Descending	2021/10/26
8	150	Descending	2019/02/03	16	150	Descending	2020/05/04	24	150	Descending	2021/11/19

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表 6 ICESat-2激光测高数据统计

Table 6. Statistical table of ICESat-2 laser altimetry data

序号	轨道ID	升/降轨	采集时间	序号	轨道ID	升/降轨	采集时间
1	294	降	2019/01/16	7	1239	降	2019/12/17
2	439	升	2019/01/26	8	294	降	2020/01/14
3	294	降	2019/04/17	9	294	降	2020/04/24
4	439	升	2019/04/27	10	439	升	2020/07/24
5	439	升	2019/07/26	11	439	升	2020/10/22
6	439	升	2019/10/25	12	294	降	2021/10/11

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