Glacier mapping based on Chinese high-resolution remote sensing GF-1 satellite and topographic data

被引:1
|
作者
Yan, LiLi [1 ]
Wang, Jian [1 ]
机构
[1] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, 320 West Donggang Rd, Lanzhou 730000, Gansu, Peoples R China
来源
SCIENCES IN COLD AND ARID REGIONS | 2019年 / 11卷 / 03期
基金
中国国家自然科学基金;
关键词
glacier mapping; GaoFen-1; satellite; high-quality DEM; morphometric parameters; debris-covered glaciers; LANDSAT TM; IMAGERY; CANADA;
D O I
10.3724/SP.J.1226.2019.00218
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
The precise glacier boundary is a fundamental requirement for glacier inventory, the assessment of climate change and water management in remote mountain areas. However, some glaciers in mountain areas are covered by debris. The high spatial resolution images bring opportunities in mapping debris-covered glaciers. To discuss the capability of Chinese GaoFen-1 satellite lacking the short wave infrared band and thermal infrared band in mapping glaciers, this study distinguished supraglacial terrain from surrounding debris by combining GaoFen-1 (GF-1) wide-field-view (WFV) images, the ratio of the thermal infrared imagery and morphometric parameters (DEM and slope) with 30 m resolution. The overall accuracy of 90.94% indicated that this method was effective for mapping supraglacial terrain in mountain areas. Comparing this result with the combination of GF-1 WFV and low-resolution morphometric parameters shows that a high-quality DEM and the thermal infrared band enhanced the accuracy of glacier mapping especially debris-covered ice in steep terrain. The user's and producer's accuracies of glacier area were also improved from 89.67% and 85.95% to 92.83% and 90.34%, respectively. GF data is recommended for mapping heavily debris-covered glaciers and will be combined with SAR data for future studies.
引用
收藏
页码:218 / 225
页数:8
相关论文
共 50 条
  • [1] Glacier mapping based on Chinese high-resolution remote sensing GF-1 satellite and topographic data
    LiLi Yan
    Jian Wang
    [J]. Sciences in Cold and Arid Regions, 2019, 11 (03) : 218 - 225
  • [2] Perspective of Chinese GF-1 high-resolution satellite data in agricultural remote sensing monitoring
    ZHOU Qing-bo
    YU Qiang-yi
    LIU Jia
    WU Wen-bin
    TANG Hua-jun
    [J]. Journal of Integrative Agriculture, 2017, 16 (02) : 242 - 251
  • [3] Perspective of Chinese GF-1 high-resolution satellite data in agricultural remote sensing monitoring
    Zhou Qing-bo
    Yu Qiang-yi
    Liu Jia
    Wu Wen-bin
    Tang Hua-jun
    [J]. JOURNAL OF INTEGRATIVE AGRICULTURE, 2017, 16 (02) : 242 - 251
  • [4] Discrimination of tree species using random forests from the Chinese high-resolution remote sensing satellite GF-1
    Lv, Jie
    Ma, Ting
    [J]. HYPERSPECTRAL REMOTE SENSING APPLICATIONS AND ENVIRONMENTAL MONITORING AND SAFETY TESTING TECHNOLOGY, 2016, 10156
  • [5] Improved capabilities of the Chinese high-resolution remote sensing satellite GF-1 for monitoring suspended particulate matter (SPM) in inland waters: Radiometric and spatial considerations
    Li, Jian
    Chen, Xiaoling
    Tian, Liqiao
    Huang, Jue
    Feng, Lian
    [J]. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2015, 106 : 145 - 156
  • [6] HIGH RESOLUTION ALBEDO ESTIMATION WITH CHINESE GF-1 WFV DATA
    Zhou, Hongmin
    Hu, Ni
    He, Tao
    Liang, Shunlin
    Wang, Jindi
    [J]. IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2018, : 3426 - 3429
  • [7] Land Use Change Detection Based on GF-1 Satellite Remote Sensing Images
    Fu Qing
    Guo Chen
    Luo Wenlang
    [J]. LASER & OPTOELECTRONICS PROGRESS, 2020, 57 (16)
  • [8] 3D TOPOGRAPHIC MAPPING BASED ON REMOTE SENSING SATELLITE DATA
    Dana, Iulia Florentina
    Olteanu, Vlad Gabriel
    Jivanescu, Iulia Elena
    Moise, Cristian
    Manea, Raluca
    [J]. 16TH INTERNATIONAL CONFERENCE THE KNOWLEDGE-BASED ORGANIZATION: APPLIED TECHNICAL SCIENCES AND ADVANCED MILITARY TECHNOLOGIES, CONFERENCE PROCEEDINGS 3, 2010, : 401 - 406
  • [9] Mapping of peatlands in the Moscow oblast based on high-resolution remote sensing data
    A. A. Sirin
    A. A. Maslov
    N. A. Valyaeva
    O. P. Tsyganova
    T. V. Glukhova
    [J]. Contemporary Problems of Ecology, 2014, 7 : 808 - 814
  • [10] Mapping of peatlands in the Moscow oblast based on high-resolution remote sensing data
    Sirin, A. A.
    Maslov, A. A.
    Valyaeva, N. A.
    Tsyganova, O. P.
    Glukhova, T. V.
    [J]. CONTEMPORARY PROBLEMS OF ECOLOGY, 2014, 7 (07) : 808 - 814