Early Landslide Detection in the Lancangjiang Region Along the Sichuan-Tibet Railway Based on SBAS-InSAR Technology

doi:10.19657/j.geoscience.1000-8527.2021.005

Abstract

Abstract:

Early detection is a key to prevent and reduce geo-hazards. However, it is always problematic in complex topographic region, especially in alpine-valley region.Based on the Sentinel-1(ascending) and RADARSAT-2(descending) radar satellite data obtained from August 2018 to February 2020, quantitative detection and analysis of the potential surface deformation of landslides in the 80 km upstream and downstream of the Lancangjiang region along the Sichuan-Tibet railway was carried out by using the small baseline subsets in terferometric synthetic aperture radar(SBAS-InSAR). The results show that deformation rate in the LOS direction for the study period are from -58 to 21 mm/a (ascending) and from -42 to 16 mm/a (descending), respectively, and the maximum average deformation rate in the slope direction is -128 mm/a.Based on the deformation result in the slope direction, 113 potential landslides are detected,which are clustered in four regions. Besides, 13 landslides have significant deformation in the 113 potential landslides, deformation characteristics and slipping mechanism of the two critical landslide hazards were further analyzed. The results provide a reference for the route selection of Sichuan-Tibet railway,and for the geohazard prevention in the upstream/downstream of the Lancangjiang bridge. The technique of combining descending and ascending radar data can provide reference for early landslide detection in other alpine-valley regions along the Sichuan-Tibet railway.

Key words: landslide, early detection, SBAS-InSAR, Sichuan-Tibet railway, Lancangjiang region

CLC Number:

P642

ZHANG Jiajia, GAO Bo, LIU Jiankang, CHEN Long, HUANG Hai, LI Jie. Early Landslide Detection in the Lancangjiang Region Along the Sichuan-Tibet Railway Based on SBAS-InSAR Technology[J]. Geoscience, 2021, 35(01): 64-73.

Figures/Tables 10

References 22

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参数	SAR传感器
参数	RADARSAT-2	Sentinel-1
轨道方向	降轨	升轨
所处波段	C	C
雷达波长/cm	5.6	5.6
空间分辨率/m	5	5×20
重访周期/天	24	12
入射角/ (°)	35.6	33.9
影像时间	201808—202002	201808—202002
影像数量/景	10	45

参数	SAR传感器
参数	RADARSAT-2	Sentinel-1
轨道方向	降轨	升轨
所处波段	C	C
雷达波长/cm	5.6	5.6
空间分辨率/m	5	5×20
重访周期/天	24	12
入射角/ (°)	35.6	33.9
影像时间	201808—202002	201808—202002
影像数量/景	10	45

编号	隐患点名称	经纬度	变形范围/m²	平均形变速率/(mm/a)	最大形变速率/(mm/a)	威胁对象
1	帮扎卡	97°10'1.6″E,31°30'55″N	300×400	19	35	村庄
2	桑多村	97°08'13″E,31°18'48″N	500×280	24	42	村庄
3	达若村	97°09'25″E,31°15'59″N	600×500	31	54	村庄和澜沧江
4	达东村	96°53'30″E,31°21'03″N	3 000×1 200	17	66	村庄和澜沧江
5	学土村	96°55'52″E,31°17'51″N	900×400	32	85	村庄
6	巴仲	97°33'24″E,30°33'06″N	1 000×900	42	74	澜沧江
7	如给村	97°21'25″E,30°46'04″N	900×900	18	27	村庄和澜沧江
8	巴仲	97°32'57″E,30°32'48″N	500×500	24	49	澜沧江
9	约达村	96°57'34″E,31°16'19″N	1 600×500	53	128	村庄和澜沧江
10	隅细	97°21'13″E,30°48'10″N	600×500	17	30	村庄和澜沧江
11	瓦巴村	97°32'49″E,30°36'30″N	1 100×900	18	29	澜沧江
12	肯达	97°34'50″E,30°36'49″N	1 800×800	26	46	澜沧江
13	居雪村	97°35'29″E,30°32'60″N	700×700	35	94	村庄和澜沧江

编号	隐患点名称	经纬度	变形范围/m²	平均形变速率/(mm/a)	最大形变速率/(mm/a)	威胁对象
1	帮扎卡	97°10'1.6″E,31°30'55″N	300×400	19	35	村庄
2	桑多村	97°08'13″E,31°18'48″N	500×280	24	42	村庄
3	达若村	97°09'25″E,31°15'59″N	600×500	31	54	村庄和澜沧江
4	达东村	96°53'30″E,31°21'03″N	3 000×1 200	17	66	村庄和澜沧江
5	学土村	96°55'52″E,31°17'51″N	900×400	32	85	村庄
6	巴仲	97°33'24″E,30°33'06″N	1 000×900	42	74	澜沧江
7	如给村	97°21'25″E,30°46'04″N	900×900	18	27	村庄和澜沧江
8	巴仲	97°32'57″E,30°32'48″N	500×500	24	49	澜沧江
9	约达村	96°57'34″E,31°16'19″N	1 600×500	53	128	村庄和澜沧江
10	隅细	97°21'13″E,30°48'10″N	600×500	17	30	村庄和澜沧江
11	瓦巴村	97°32'49″E,30°36'30″N	1 100×900	18	29	澜沧江
12	肯达	97°34'50″E,30°36'49″N	1 800×800	26	46	澜沧江
13	居雪村	97°35'29″E,30°32'60″N	700×700	35	94	村庄和澜沧江