HIGH-RESOLUTION MAPPING OF FLUVIAL LANDFORM CHANGE IN ARID ENVIRONMENTS USING TERRASAR-X IMAGES

被引：3
|
作者：
Baade, Jussi [1 ]
Schmullius, Christiane [1 ]
机构：
[1] Univ Jena, Dept Geog, D-07743 Jena, Germany
来源：
2010 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2010年
关键词：
SAR interferometry (InSAR); synthetic aperture radar (SAR); change detection; TerraSAR-X; topography; Desert regions; SAR INTERFEROMETRY;
D O I：
10.1109/IGARSS.2010.5652020
中图分类号：
P [天文学、地球科学];
学科分类号：
07 ;
摘要：
The high resolution acquisition mode of TerraSAR-X provides a new dimension in fluvial landform change detection. Here we analyzed high resolution (5 m) coherence images with temporal baselines of up to a year from the Palpa Valley in the hyper-arid coastal desert of southern Peru. The results provide evidence that this sensor is suitable for mapping the land surface changes caused by erosion and sedimentation following rainfall and runoff events in bare desert landscape units.
引用
收藏
页码：2159 / 2162
页数：4
相关论文
共 50 条
  • [41] Method for soil moisture retrieval in arid prairie using TerraSAR-X data
    Bai, Xiaojing
    He, Binbin
    Xing, Minfeng
    Li, Xiaowen
    [J]. JOURNAL OF APPLIED REMOTE SENSING, 2015, 9
  • [42] Fusion of high-resolution DEMs derived from COSMO-SkyMed and TerraSAR-X InSAR datasets
    Houjun Jiang
    Lu Zhang
    Yong Wang
    Mingsheng Liao
    [J]. Journal of Geodesy, 2014, 88 : 587 - 599
  • [43] Retrieval of Both Soil Moisture and Texture Using TerraSAR-X Images
    Gorrab, Azza
    Zribi, Mehrez
    Baghdadi, Nicolas
    Mougenot, Bernard
    Fanise, Pascal
    Chabaane, Zohra Lili
    [J]. REMOTE SENSING, 2015, 7 (08) : 10098 - 10116
  • [44] FINE STRUCTURE OF THE UPPER OCEAN FROM HIGH-RESOLUTION TERRASAR-X IMAGERY AND IN-SITU MEASUREMENTS
    Soloviev, Alexander
    Maingot, Chris
    Fujimura, Atsushi
    Fenton, Jenny
    Gilman, Mikhail
    Matt, Silvia
    Lehner, Susanne
    Velotto, Domenico
    Brusch, Stephan
    [J]. 2010 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2010, : 1944 - 1947
  • [45] Dynamically adapted ship parameter estimation using TerraSAR-X images
    Tings, Bjoern
    da Silva, Carlos Augusto Bentes
    Lehner, Susanne
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 2016, 37 (09) : 1990 - 2015
  • [46] Fusion of high-resolution DEMs derived from COSMO-SkyMed and TerraSAR-X InSAR datasets
    Jiang, Houjun
    Zhang, Lu
    Wang, Yong
    Liao, Mingsheng
    [J]. JOURNAL OF GEODESY, 2014, 88 (06) : 587 - 599
  • [47] Ship Detection Using TerraSAR-X Images in the Campos Basin (Brazil)
    Paes, Rafael L.
    Lorenzzetti, Joao A.
    Gherardi, Douglas F. M.
    [J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2010, 7 (03) : 545 - 548
  • [48] SHIP DETECTION IN THE BRAZILIAN COAST USING TERRASAR-X SAR IMAGES
    Paes, Rafael L.
    Lorenzzetti, Joao A.
    Gherardi, Douglas F. M.
    [J]. 2009 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-5, 2009, : 3363 - 3366
  • [49] Semi-Automated Monitoring of a Mega-Scale Beach Nourishment Using High-Resolution TerraSAR-X Satellite Data
    Vandebroek, Elena
    Lindenbergh, Roderik
    van Leijen, Freek
    de Schipper, Matthieu
    de Vries, Sierd
    Hanssen, Ramon
    [J]. REMOTE SENSING, 2017, 9 (07)
  • [50] Feature of the displacement in applying the sub-pixel matching methodology to high-resolution TerraSAR-X images in the Great East Japan Earthquake 2011
    Nonaka, T.
    Hiramatsu, T.
    [J]. SAR IMAGE ANALYSIS, MODELING, AND TECHNIQUES XIV, 2014, 9243
12345