Journal
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
Volume 17, Issue 7, Pages 1163-1167Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LGRS.2019.2942107
Keywords
Remote sensing; Skeleton; Network topology; Rivers; Topology; Earth; Morphology; Channel network; morphology analysis; river; surface water; topology
Categories
Funding
- Key Research and Development Program of Ministry of Science and Technology, China [2018YFC1506504]
- National Natural Science Foundation of China [41901346]
- China Postdoctoral Science Foundation [2019M650348]
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Channel network topology plays an important role in hydrological analysis. This letter proposes an innovative method to construct it based only on remote sensing images. The method uses spectral water indexes and mask of large lakes and ocean areas derived from remote sensing data to generate the map of channels. Then, a morphological thinning algorithm is introduced to extract the initial skeleton of channels. Moreover, an iterative pruning process based on a graph algorithm is proposed to simplify the initial skeleton. Finally, according to the simplified skeleton and its adjacency matrix, a new connectivity graph can be constructed to describe the channel network topology. The proposed method can construct complete skeleton structure and the topology of channels with good connectivity in an automatic way. The output will facilitate detailed hydrological modeling and further applications.
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