Cotton Phenology Detection Using Sentinel-1 Time Series Data
Author:
Affiliation:
1. National University of Singapore,Centre for Remote Imaging, Sensing and Processing,Singapore,Singapore,119076
2. ST Engineering Geo-Insights,Singapore,Singapore,567711
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10640349/10640352/10640465.pdf?arnumber=10640465
Reference13 articles.
1. Assimilation of remote sensing into crop growth models: Current status and perspectives
2. Improving WOFOST model to simulate winter wheat phenology in Europe: Evaluation and effects on yield
3. Capability of C-band backscattering coefficients from high-resolution satellite SAR sensors to assess biophysical variables in paddy rice
4. A systematic method for spatio-temporal phenology estimation of paddy rice using time series Sentinel-1 images
5. Sentinel-1 time series data for monitoring the phenology of winter wheat
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