Biophysical parameter estimation of crops from polarimetric synthetic aperture radar imagery with data-driven polynomial chaos expansion and global sensitivity analysis

Author:

Çelik Mehmet Furkan,Erten Esra

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Understanding the Temporal Dynamics of Coherence and Backscattering Using Sentinel-1 Imagery for Crop-Type Mapping;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

2. Explainability of End and Mid-Season Cotton Yield Predictors In Conus;IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium;2023-07-16

3. Informative Earth Observation Variables for Cotton Yield Prediction Using Explainable Boosting Machine;IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium;2023-07-16

4. A Scalable Unsupervised Feature Selection With Orthogonal Graph Representation for Hyperspectral Images;IEEE Transactions on Geoscience and Remote Sensing;2023

5. Explainable Artificial Intelligence for Cotton Yield Prediction With Multisource Data;IEEE Geoscience and Remote Sensing Letters;2023

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