Using Sentinel-1 SAR satellites to map wind speed variation across offshore wind farm clusters

被引:6
|
作者
James, S. F. [1 ]
机构
[1] STFC Rutherford Appleton Lab, Harwell Campus, Didcot OX11 0QX, Oxon, England
来源
WINDEUROPE CONFERENCE & EXHIBITION 2017 | 2017年 / 926卷
基金
英国工程与自然科学研究理事会;
关键词
TERRASAR-X; WAKE; RADAR; FLOW;
D O I
10.1088/1742-6596/926/1/012004
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Offshore wind speed maps at 500m resolution are derived from freely available satellite Synthetic Aperture Radar (SAR) data. The method for processing many SAR images to derive wind speed maps is described in full. The results are tested against coincident offshore mast data. Example wind speed maps for the UK Thames Estuary offshore wind farm cluster are presented.
引用
收藏
页数:10
相关论文
共 50 条
  • [21] Data Quality Evaluation of Sentinel-1 and GF-3 SAR for Wind Field Inversion
    Wan, Yong
    Guo, Sheng
    Li, Ligang
    Qu, Xiaojun
    Dai, Yongshou
    REMOTE SENSING, 2021, 13 (18)
  • [22] A New Approach for Ocean Surface Wind Speed Retrieval Using Sentinel-1 Dual-Polarized Imagery
    Gao, Yuan
    Wang, Yunhua
    Wang, Weili
    REMOTE SENSING, 2023, 15 (17)
  • [23] Using sentinel-1A SAR wind retrievals for enhancing scatterometer and radiometer regional wind analyses
    Bentamy, Abderrahim
    Mouche, Alexis
    Grouazel, Antoine
    Moujane, Abderrahim
    Mohamed, Ait Ahmed
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2019, 40 (03) : 1120 - 1147
  • [24] A CROSS-COMPARISON STUDY ON CYGNSS AND SENTINEL-1 WIND SPEED PRODUCTS IN TROPICAL CYCLONES
    Barone, Matteo
    Galdi, Carmela
    di Bisceglie, Maurizio
    Zuffada, Cinzia
    IGARSS 2024-2024 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, IGARSS 2024, 2024, : 842 - 845
  • [25] Assessment of Inversion Models for Sea Surface Wind Speed Retrieval from Sentinel-1 Data
    Tran Vu La
    Khenchaf, Ali
    Comblet, Fabrice
    Nahum, Carole
    2016 2ND INTERNATIONAL CONFERENCE ON ADVANCED TECHNOLOGIES FOR SIGNAL AND IMAGE PROCESSING (ATSIP), 2016, : 577 - 580
  • [26] Analyzing Sea Surface Wind Distribution Characteristics of Tropical Cyclone Based on Sentinel-1 SAR Images
    Gao, Yuan
    Zhang, Jie
    Guan, Changlong
    Sun, Jian
    REMOTE SENSING, 2021, 13 (22)
  • [27] Assessment of Wind Speed Estimation From C-Band Sentinel-1 Images Using Empirical and Electromagnetic Models
    Tran Vu La
    Khenchaf, Ali
    Comblet, Fabrice
    Nahum, Carole
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2018, 56 (07): : 4075 - 4087
  • [28] Estimation of High-resolution Sea Wind in Coastal Areas Using Sentinel-1 SAR Images with Artificial Intelligence Technique
    Joh, Sung-uk
    Ahn, Jihye
    Lee, Yangwon
    KOREAN JOURNAL OF REMOTE SENSING, 2021, 37 (05) : 1187 - 1198
  • [29] High-resolution offshore wind resource assessment at turbine hub height with Sentinel-1 synthetic aperture radar (SAR) data and machine learning
    de Montera, Louis
    Berger, Henrick
    Husson, Romain
    Appelghem, Pascal
    Guerlou, Laurent
    Fragoso, Mauricio
    WIND ENERGY SCIENCE, 2022, 7 (04) : 1441 - 1453
  • [30] Developing a Subswath-Based Wind Speed Retrieval Model for Sentinel-1 VH-Polarized SAR Data Over the Ocean Surface
    Zhang, Kangyu
    Huang, Jingfeng
    Mansaray, Lamin R.
    Guo, Qiaoying
    Wang, Xiuzhen
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2019, 57 (03): : 1561 - 1572