APPLICATION OF SYNTHETIC APERTURE RADAR METHODS FOR MORPHOLOGICAL ANALYSIS OF THE SALAR DE UYUNI DISTAL FLUVIAL SYSTEM

被引:4
|
作者
Oyen, A. M. [1 ]
Koenders, R. [1 ]
Aria, S. E. Hosseini [1 ]
Lindenbergh, R. C. [1 ]
Li, J.
Donselaar, M. E.
机构
[1] Delft Univ Technol, Dept Geosci & Remote Sensing, NL-2600 AA Delft, Netherlands
关键词
SAR; InSAR; channel morphology; endorheic basin; Salar de Uyuni;
D O I
10.1109/IGARSS.2012.6350566
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Knowledge of the present-day activity of river channels in distal fluvial systems strongly contributes to the reconstruction of past branching and avulsion processes. Established remote sensing techniques can be applied to monitor the formation of flooding planes (crevasse splays) and channel activity. In this research variations in the amplitude in Synthetic Aperture Radar images are interpreted as soil moisture changes. Interferometric SAR showed minor phase changes during dry season and loss of coherence after peak run-off. After peak discharge during the dry season in 2009 reactivation of multiple avulsed river paths and crevasse channels was detected. These results show that analysis of SAR images can contribute to the monitoring of fluvial systems. It is expected that these initial results will be confirmed by field data and analysis of alternative remote sensing data sources.
引用
收藏
页码:3875 / 3878
页数:4
相关论文
共 34 条
  • [31] Rice yield estimation using synthetic aperture radar (SAR) and the ORYZA crop growth model: development and application of the system in South and South-east Asian countries
    Setiyono, T. D.
    Quicho, E. D.
    Holecz, F. H.
    Khan, N. I.
    Romuga, G.
    Maunahan, A.
    Garcia, C.
    Rala, A.
    Raviz, J.
    Collivignarelli, F.
    Gatti, L.
    Barbieri, M.
    Phuong, D. M.
    Minh, V. Q.
    Vo, Q. T.
    Intrman, A.
    Rakwatin, P.
    Sothy, M.
    Veasna, T.
    Pazhanivelan, S.
    Mabalay, M. R. O.
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2019, 40 (21) : 8093 - 8124
  • [32] Assessment of land subsidence using interferometric synthetic aperture radar time series analysis and artificial neural network in a geospatial information system: case study of Rafsanjan Plain
    Bagheri, Mohsen
    Dehghani, Maryam
    Esmaeily, Ali
    Akbari, Vahid
    JOURNAL OF APPLIED REMOTE SENSING, 2019, 13 (04):
  • [33] An Improved Method of Mitigating Orbital Errors in Multiple Synthetic-Aperture-Radar Interferometric Pair Analysis for Interseismic Deformation Measurement: Application to the Tuosuo Lake Segment of the Kunlun Fault
    Xu, Qian
    Yang, Yinghui
    Chen, Qiang
    Wang, Dechao
    Liu, Su
    He, Yucong
    Xu, Lang
    Zi, Chengdai
    REMOTE SENSING, 2024, 16 (14)
  • [34] Detecting Displacements Within Archaeological Sites in Cyprus After a 5.6 Magnitude Scale Earthquake Event Through the Hybrid Pluggable Processing Pipeline (HyP3) Cloud-Based System and Sentinel-1 Interferometric Synthetic Aperture Radar (InSAR) Analysis
    Agapiou, Athos
    Lysandrou, Vasiliki
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2020, 13 : 6115 - 6123