Research on extraction of stream network based on digital elevation models

被引:0
|
作者
State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang 550002, China [1 ]
不详 [2 ]
机构
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
Three algorithms of automated extraction of stream network based on digital elevation models (DEMs) are introduced and reviewed. They are the moving windows algorithm, the flow of water over terrain algorithm and a valley line finding algorithm. The flow of water over terrain algorithm has become very widely used because it has a hydrological basis, can produce a continuous stream network, can be linked with distributed parameter models. Then the advantages and disadvantages of these three algorithms are compared and analyzed. Then the main problems are pointed out and discussed. Three main problems of flow of water over terrain algorithm: (a) the problem of positioning the ends of streams; (b) the problem of drainage direction assignment in flat areas and pits; (b) the problem of distinction between extracted stream network and natural stream network are discussed emphatically. Finally the future intensive research fields are pointed out according to the problems.
引用
收藏
相关论文
共 50 条
  • [11] Stream detection for LiDAR digital elevation models from a forested area
    Cho, Hyun-Chong
    Slatton, K. Clint
    Cheung, Sweungwon
    Hwang, Syewoon
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2011, 32 (16) : 4695 - 4721
  • [12] Effects of digital elevation model resolution on derived stream network positions
    McMaster, KJ
    WATER RESOURCES RESEARCH, 2002, 38 (04)
  • [13] Extraction of bajadas from digital elevation models and satellite imagery
    Miliaresis, GC
    COMPUTERS & GEOSCIENCES, 2001, 27 (10) : 1157 - 1167
  • [14] Automated suitable drainage network extraction from digital elevation models in Taiwan's upstream watersheds
    Lin, WT
    Chou, WC
    Lin, CY
    Huang, PH
    Tsai, JS
    HYDROLOGICAL PROCESSES, 2006, 20 (02) : 289 - 306
  • [15] Planation surface extraction and quantitative analysis based on high-resolution digital elevation models
    Wang, YX
    Pan, BT
    Gao, HS
    Liu, Y
    IGARSS 2005: IEEE International Geoscience and Remote Sensing Symposium, Vols 1-8, Proceedings, 2005, : 5369 - 5371
  • [16] Feature extraction for neural network wave propagation loss models from field measurements and digital elevation map
    Yang, S
    Lee, H
    IEICE TRANSACTIONS ON ELECTRONICS, 1999, E82C (07) : 1260 - 1266
  • [17] A probabilistic approach to river network detection in digital elevation models
    Poggio, Laura
    Soille, Pierre
    CATENA, 2011, 87 (03) : 341 - 350
  • [18] Extraction of digital elevation models for airborne laser terrain mapping data
    Neuenschwander, A
    Crawford, M
    Weed, C
    Gutierrez, R
    IGARSS 2000: IEEE 2000 INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOL I - VI, PROCEEDINGS, 2000, : 2305 - 2307
  • [19] Saddle Position-Based Method for Extraction of Depressions in Fengcong Areas by Using Digital Elevation Models
    Yang, Xianwu
    Tang, Guoan
    Meng, Xin
    Xiong, Liyang
    ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2018, 7 (04):
  • [20] Morphological segmentation of lidar digital elevation models to extract stream channels in forested terrain
    Cho, Hytin-chong
    Kampa, Kittipat
    Slatton, K. Clint
    IGARSS: 2007 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-12: SENSING AND UNDERSTANDING OUR PLANET, 2007, : 3182 - 3185