Enhancing WOFOST crop model with unscented Kalman filter assimilation of leaf area index
Author:
Affiliation:
1. Research & development, EOS Data Analytics, Kyiv, Ukraine
2. Department of Computer Science and Applied Mathematics, National University of Water and Environmental Engineering, Rivne, Ukraine
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences,Computer Science Applications
Link
https://www.tandfonline.com/doi/pdf/10.1080/19479832.2023.2287037
Reference50 articles.
1. An adaptive covariance inflation error correction algorithm for ensemble filters
2. Cubature Kalman Filters
3. Global synthesis of leaf area index observations: implications for ecological and remote sensing studies
4. Assimilation of Remotely-Sensed LAI into WOFOST Model with the SUBPLEX Algorithm for Improving the Field-Scale Jujube Yield Forecasts
5. Satellite high-spatial-resolution multispectral imagery for crop type identification using Sentinel Application Platform and R software
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