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author:

Yang, G. (Yang, G..) [1] | Xue, C. (Xue, C..) [2] | Liu, J. (Liu, J..) [3] | Wu, Q. (Wu, Q..) [4] | Wu, C. (Wu, C..) [5]

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Scopus PKU CSCD

Abstract:

Based on evolution characteristics of rainstorms, we propose an algorithm for extracting and tracking rainstorm events with long-term raster-formatted datasets. The first step is the rainstorm extraction in the temporal domain. We calculate the cumulative rainfall of each grid of a time series, and identify the rainstorm levels. The second step is the rainstorm connection in a spatial domain: connecting the adjacent spatial grids tagged by rainstorm in a rainstorm object, and transforming it from raster format to the vector one with temporal, spatial and thematic information. Then rainstorm is tracked in the spatiotemporal domain. The relationship between storm objects will be fined based on the intersection of spatial topologies at adjacent moments, and the rainstorm objects are extracted based on the relationship, and calculate rainstorm event information. We using GPM-IMAGE final products, station datasets and radar datasets to compare and verify the algorithm. Experimental results show that the algorithm can completely extract the dynamic development process of rainstorm. © 2019, Editorial Office of Journal of Applied Sciences. All right reserved.

Keyword:

Extracting; Integrated multi-satellie; Rainstorm event; Raster datasets; retrievals for GPM (IMERG); Tracking

Community:

  • [ 1 ] [Yang, G.]National & Local Joint Engineering Research Center of Satellite Geospatial Information Technology, Fuzhou University, Fuzhou, 350116, China
  • [ 2 ] [Yang, G.]Key Laboratory of Digital Earth Science, Chinese Academy of Sciences, Beijing, 100094, China
  • [ 3 ] [Xue, C.]Key Laboratory of Digital Earth Science, Chinese Academy of Sciences, Beijing, 100094, China
  • [ 4 ] [Xue, C.]Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China
  • [ 5 ] [Liu, J.]Key Laboratory of Digital Earth Science, Chinese Academy of Sciences, Beijing, 100094, China
  • [ 6 ] [Wu, Q.]National & Local Joint Engineering Research Center of Satellite Geospatial Information Technology, Fuzhou University, Fuzhou, 350116, China
  • [ 7 ] [Wu, C.]Key Laboratory of Digital Earth Science, Chinese Academy of Sciences, Beijing, 100094, China

Reprint 's Address:

  • [Xue, C.]Key Laboratory of Digital Earth Science, Chinese Academy of SciencesChina

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Source :

Journal of Applied Sciences

ISSN: 0255-8297

Year: 2019

Issue: 4

Volume: 37

Page: 510-518

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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