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Title: Effective Cloud Detection and Segmentation Using a Gradient-Based Algorithm for Satellite Imagery: Application to Improve PERSIANN-CCS

Authors:
 [1];  [1];  [1];  [2];  [2]
  1. Center for Hydrometeorology and Remote Sensing, Department of Civil and Environmental Engineering, University of California, Irvine, Irvine, California
  2. Department of Meteorology, The Pennsylvania State University, University Park, Pennsylvania
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1511900
Grant/Contract Number:  
IA0000018
Resource Type:
Published Article
Journal Name:
Journal of Hydrometeorology
Additional Journal Information:
Journal Name: Journal of Hydrometeorology Journal Volume: 20 Journal Issue: 5; Journal ID: ISSN 1525-755X
Publisher:
American Meteorological Society
Country of Publication:
United States
Language:
English

Citation Formats

Hayatbini, Negin, Hsu, Kuo-lin, Sorooshian, Soroosh, Zhang, Yunji, and Zhang, Fuqing. Effective Cloud Detection and Segmentation Using a Gradient-Based Algorithm for Satellite Imagery: Application to Improve PERSIANN-CCS. United States: N. p., 2019. Web. doi:10.1175/JHM-D-18-0197.1.
Hayatbini, Negin, Hsu, Kuo-lin, Sorooshian, Soroosh, Zhang, Yunji, & Zhang, Fuqing. Effective Cloud Detection and Segmentation Using a Gradient-Based Algorithm for Satellite Imagery: Application to Improve PERSIANN-CCS. United States. doi:10.1175/JHM-D-18-0197.1.
Hayatbini, Negin, Hsu, Kuo-lin, Sorooshian, Soroosh, Zhang, Yunji, and Zhang, Fuqing. Wed . "Effective Cloud Detection and Segmentation Using a Gradient-Based Algorithm for Satellite Imagery: Application to Improve PERSIANN-CCS". United States. doi:10.1175/JHM-D-18-0197.1.
@article{osti_1511900,
title = {Effective Cloud Detection and Segmentation Using a Gradient-Based Algorithm for Satellite Imagery: Application to Improve PERSIANN-CCS},
author = {Hayatbini, Negin and Hsu, Kuo-lin and Sorooshian, Soroosh and Zhang, Yunji and Zhang, Fuqing},
abstractNote = {},
doi = {10.1175/JHM-D-18-0197.1},
journal = {Journal of Hydrometeorology},
number = 5,
volume = 20,
place = {United States},
year = {2019},
month = {5}
}

Journal Article:
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This content will become publicly available on May 10, 2020
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