Flowering Detection of Canola Using Dynamic Time Warping and Sentinel-1 Time Series Images
Author:
Affiliation:
1. Wuhan University,School of Remote Sensing and Information Engineering,Wuhan,China
2. Shenyang Geotechnical Investigation and Surveying Research Institute Co., Ltd.,Shenyang,China
3. SFMAP Technology (Shenzhen) Co., Ltd.,Wuhan,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10281394/10281399/10283170.pdf?arnumber=10283170
Reference10 articles.
1. Detecting flowering phenology in oil seed rape parcels with Sentinel-1 and -2 time series
2. Developing a New Method to Identify Flowering Dynamics of Rapeseed Using Landsat 8 and Sentinel-1/2
3. Dual-polarimetric descriptors from Sentinel-1 GRD SAR data for crop growth assessment
4. The RapeseedMap10 database: annual maps of rapeseed at a spatial resolution of 10 m based on multi-source data
5. Spectral considerations for modeling yield of canola
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