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  • Li, Bin  (4)
  • Geography  (4)
  • 1
    Online Resource
    Online Resource
    Elsevier BV ; 2021
    In:  Geoderma Vol. 388 ( 2021-04), p. 114927-
    In: Geoderma, Elsevier BV, Vol. 388 ( 2021-04), p. 114927-
    Type of Medium: Online Resource
    ISSN: 0016-7061
    RVK:
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2021
    detail.hit.zdb_id: 281080-3
    detail.hit.zdb_id: 2001729-7
    SSG: 13
    Location Call Number Limitation Availability
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  • 2
    Online Resource
    Online Resource
    American Society for Photogrammetry and Remote Sensing ; 2017
    In:  Photogrammetric Engineering & Remote Sensing Vol. 83, No. 1 ( 2017-01-01), p. 19-25
    In: Photogrammetric Engineering & Remote Sensing, American Society for Photogrammetry and Remote Sensing, Vol. 83, No. 1 ( 2017-01-01), p. 19-25
    Type of Medium: Online Resource
    ISSN: 0099-1112
    RVK:
    Language: English
    Publisher: American Society for Photogrammetry and Remote Sensing
    Publication Date: 2017
    detail.hit.zdb_id: 2317128-5
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  • 3
    Online Resource
    Online Resource
    American Society for Photogrammetry and Remote Sensing ; 2017
    In:  Photogrammetric Engineering & Remote Sensing Vol. 83, No. 5 ( 2017-05-01), p. 351-363
    In: Photogrammetric Engineering & Remote Sensing, American Society for Photogrammetry and Remote Sensing, Vol. 83, No. 5 ( 2017-05-01), p. 351-363
    Abstract: Effective large-scale landslide mapping is becoming significantly important for analyzing natural hazards and providing landslide locations rapidly for emergency response. Change detection and machine learning methods are commonly used for landslide detection. Change detection mostly relies on several experienced parameters that users have to tune for different images, which limits the practical application. The training machine learning model consumes much time, and it is limited to specific imaging conditions. In this paper, a simple method for landslide detection using a fixed parameter by calculating image saliency is proposed. Landslide is detected as a saliency object within the background of vegetation and bare rocks. It is fast and robust for the experimental images, and outperforms the state-of-the-art, semi-automatic method in terms of accuracy and computing time. Given the high efficiency and robustness of the proposed method, it is applicable to practical cases for hazard estimation.
    Type of Medium: Online Resource
    ISSN: 0099-1112
    RVK:
    Language: English
    Publisher: American Society for Photogrammetry and Remote Sensing
    Publication Date: 2017
    detail.hit.zdb_id: 2317128-5
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  • 4
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2020
    In:  Meteorology and Atmospheric Physics Vol. 132, No. 5 ( 2020-10), p. 781-791
    In: Meteorology and Atmospheric Physics, Springer Science and Business Media LLC, Vol. 132, No. 5 ( 2020-10), p. 781-791
    Abstract: Observational studies indicate that northern Jiangsu Province is the most active area for the occurrence of squall lines in east China. While the roles of the large-scale atmospheric environment have been investigated, the effects of the terrain and lakes on the squall line in northern Jiangsu Province have not been well understood. In this study, the squall line occurring on 14 June 2009 is simulated to investigate the influences of the terrain and lakes. The squall line occurred under the influence of a short westerly trough at 500 hPa, one of the typical synoptic-scale patterns favorable for the development of squall lines in east China. Using the grid spacings of 3 km, 1 km and 333 m, the Weather Research and Forecast model (WRF) reasonably well simulates the evolution of the squall line and the extreme rainfall. Sensitivity experiments are conducted to examine the effects of Mountain Meng, Hongze Lake and Gaoyou Lake. It is found that the valley wind associated with Mountain Meng plays an important role in the early development of the squall line by enhancing the vertical wind shear at the low levels. The presence of the lakes leads to a relatively cold area, resulting in a temperature gradient toward the southeast at the low levels. The horizontal temperature gradient enhances the low-level vertical wind shear and promotes the development of the squall line.
    Type of Medium: Online Resource
    ISSN: 0177-7971 , 1436-5065
    RVK:
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2020
    detail.hit.zdb_id: 232907-4
    detail.hit.zdb_id: 863-1
    detail.hit.zdb_id: 1462145-9
    SSG: 16,13
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