Development of Machine Learning Models to Predict Compressed Sward Height in Walloon Pastures Based on Sentinel-1, Sentinel-2 and Meteorological Data Using Multiple Data Transformations
- DOI
- 10.3390/rs13030408
- Published
- 2021-01-25
- Container
- Remote Sensing
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/rs13030408,
title = {Development of Machine Learning Models to Predict Compressed Sward Height in Walloon Pastures Based on Sentinel-1, Sentinel-2 and Meteorological Data Using Multiple Data Transformations},
author = {Charles Nickmilder and Anthony Tedde and Isabelle Dufrasne and Françoise Lessire and Bernard Tychon and Yannick Curnel and Jérome Bindelle and Hélène Soyeurt},
year = {2021},
journal = {Remote Sensing},
doi = {10.3390/rs13030408},
url = {https://doi.org/10.3390/rs13030408}
}RIS
TY - JOUR TI - Development of Machine Learning Models to Predict Compressed Sward Height in Walloon Pastures Based on Sentinel-1, Sentinel-2 and Meteorological Data Using Multiple Data Transformations AU - Charles Nickmilder AU - Anthony Tedde AU - Isabelle Dufrasne AU - Françoise Lessire AU - Bernard Tychon AU - Yannick Curnel AU - Jérome Bindelle AU - Hélène Soyeurt PY - 2021 JO - Remote Sensing DO - 10.3390/rs13030408 UR - https://doi.org/10.3390/rs13030408 ER -
APA
Nickmilder, C., Tedde, A., Dufrasne, I., Lessire, F., Tychon, B., Curnel, Y., Bindelle, J., & Soyeurt, H. (2021). Development of Machine Learning Models to Predict Compressed Sward Height in Walloon Pastures Based on Sentinel-1, Sentinel-2 and Meteorological Data Using Multiple Data Transformations. Remote Sensing. https://doi.org/10.3390/rs13030408
Source records
- crossref · retrieved 2026-11-04T00:38:43.896Z