Spatiotemporal Deep-Learning-Based Algal Bloom Prediction for Lake Okeechobee Using Multisource Data Fusion

被引：0
|
作者：
Florida Atlantic University, Department of Electrical Engineering and Computer Science, Boca Raton [1 ]
FL
33431, United States
不详 [2 ]
32963, United States
机构：
来源：
IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. | / 8318-8331期
关键词：
Number:; MN016; Acronym:; -; Sponsor:; CMMI-2145571; NSF; Sponsor: National Science Foundation;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Lakes
引用
收藏
相关论文
共 50 条
  • [1] Spatiotemporal Deep-Learning-Based Algal Bloom Prediction for Lake Okeechobee Using Multisource Data Fusion
    Tang, Yufei
    Feng, Yingqi
    Fung, Sasha
    Xomchuk, Veronica Ruiz
    Jiang, Mingshun
    Moore, Tim
    Beckler, Jordon
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2022, 15 : 8318 - 8331
  • [2] Deep-Learning-Based Approach for Prediction of Algal Blooms
    Zhang, Feng
    Wang, Yuanyuan
    Cao, Minjie
    Sun, Xiaoxiao
    Du, Zhenhong
    Liu, Renyi
    Ye, Xinyue
    SUSTAINABILITY, 2016, 8 (10)
  • [3] A refined deep-learning-based algorithm for harmful-algal-bloom remote-sensing recognition using Noctiluca scintillans algal bloom as an example
    Liu, Rongjie
    Cui, Binge
    Dong, Wenwen
    Fang, Xi
    Xiao, Yanfang
    Zhao, Xin
    Cui, Tingwei
    Ma, Yi
    Wang, Quanbin
    JOURNAL OF HAZARDOUS MATERIALS, 2024, 467
  • [4] Spatiotemporal Prediction of Monthly Coastal Upwelling Scenario in SST Fields Using Deep-Learning-Based Models
    Snoussi, Mohamed
    Tamim, Ayoub
    Fellah, Salma El
    Koutti, Lahcen
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2024, 21 : 1 - 5
  • [5] Classification and deep-learning-based prediction of Alzheimer disease subtypes by using genomic data
    Shigemizu, Daichi
    Akiyama, Shintaro
    Suganuma, Mutsumi
    Furutani, Motoki
    Yamakawa, Akiko
    Nakano, Yukiko
    Ozaki, Kouichi
    Niida, Shumpei
    TRANSLATIONAL PSYCHIATRY, 2023, 13 (01)
  • [6] Ionospheric irregularity reconstruction using multisource data fusion via deep learning
    Tian, Penghao
    Yu, Bingkun
    Ye, Hailun
    Xue, Xianghui
    Wu, Jianfei
    Chen, Tingdi
    ATMOSPHERIC CHEMISTRY AND PHYSICS, 2023, 23 (20) : 13413 - 13431
  • [7] A Spatiotemporal Deep Learning-Based Multisource Data Analytics Framework for Basketball Game
    Lin, Han
    Bao, Muren
    Kang, Chenran
    IEEE ACCESS, 2024, 12 : 73066 - 73078
  • [8] Development of a spatiotemporal deep-learning-based hydrological model
    Li B.
    Tian F.
    Li Y.
    Ni G.
    Shuikexue Jinzhan/Advances in Water Science, 2022, 33 (06): : 904 - 913
  • [9] Target Detection for Construction Machinery Based on Deep Learning and Multisource Data Fusion
    Wang, Yong
    Liu, Xinhui
    Zhao, Quanxiao
    He, Haiteng
    Yao, Zongwei
    IEEE SENSORS JOURNAL, 2023, 23 (10) : 11070 - 11081
  • [10] Dealiased seismic data interpolation using a deep-learning-based prediction-error filter
    Fang, Wenqian
    Fu, Lihua
    Liu, Shaoyong
    Li, Hongwei
    GEOPHYSICS, 2021, 86 (04) : V317 - V328
12345