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Harvesting Insights from the Sky: Satellite-Powered Automation for Detecting Mowing Based on Predicted Compressed Sward Heights
Applied Sciences,
2024
DOI:10.3390/app14051923
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[2]
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Creation of a Walloon Pasture Monitoring Platform Based on Machine Learning Models and Remote Sensing
Remote Sensing,
2023
DOI:10.3390/rs15071890
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[3]
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Canopy height and biomass prediction in Mombaça guinea grass pastures using satellite imagery and machine learning
Precision Agriculture,
2023
DOI:10.1007/s11119-023-10013-z
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[4]
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Monitoring of grassland productivity using Sentinel-2 remote sensing data
International Journal of Applied Earth Observation and Geoinformation,
2022
DOI:10.1016/j.jag.2022.102843
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[5]
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Monitoring of grassland productivity using Sentinel-2 remote sensing data
International Journal of Applied Earth Observation and Geoinformation,
2022
DOI:10.1016/j.jag.2022.102843
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[6]
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Monitoring of grassland productivity using Sentinel-2 remote sensing data
International Journal of Applied Earth Observation and Geoinformation,
2022
DOI:10.1016/j.jag.2022.102843
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[7]
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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,
2021
DOI:10.3390/rs13030408
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[8]
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Radar remote sensing as a novel tool to assess the performance of an agri-environment scheme in coastal grasslands
Basic and Applied Ecology,
2021
DOI:10.1016/j.baae.2021.07.002
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[9]
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Estimation of Grassland Height Based on the Random Forest Algorithm and Remote Sensing in the Tibetan Plateau
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,
2020
DOI:10.1109/JSTARS.2019.2954696
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[10]
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Mapping Kenyan Grassland Heights Across Large Spatial Scales with Combined Optical and Radar Satellite Imagery
Remote Sensing,
2020
DOI:10.3390/rs12071086
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[11]
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Can we Monitor Height of Native Grasslands in Uruguay with Earth Observation?
Remote Sensing,
2019
DOI:10.3390/rs11151801
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[12]
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Photogrammetry for assessment of pasture biomass
Journal of New Zealand Grasslands,
2019
DOI:10.33584/jnzg.2019.81.394
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