Hasil Pencarian - Thorsten Dahms
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Integrating random forest and crop modeling improves the crop yield prediction of winter wheat and oil seed rape oleh Maninder Singh Dhillon, Thorsten Dahms, Carina Kuebert-Flock, Thomas Rummler, Joel Arnault, Ingolf Steffan-Dewenter, Tobias Ullmann
Diterbitkan 2023-01-01Dapatkan teks lengkap
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Evaluation of MODIS, Landsat 8 and Sentinel-2 Data for Accurate Crop Yield Predictions: A Case Study Using STARFM NDVI in Bavaria, Germany oleh Maninder Singh Dhillon, Carina Kübert-Flock, Thorsten Dahms, Thomas Rummler, Joel Arnault, Ingolf Steffan-Dewenter, Tobias Ullmann
Diterbitkan 2023-03-01Dapatkan teks lengkap
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Impact of STARFM on Crop Yield Predictions: Fusing MODIS with Landsat 5, 7, and 8 NDVIs in Bavaria Germany oleh Maninder Singh Dhillon, Thorsten Dahms, Carina Kübert-Flock, Adomas Liepa, Thomas Rummler, Joel Arnault, Ingolf Steffan-Dewenter, Tobias Ullmann
Diterbitkan 2023-03-01Dapatkan teks lengkap
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Ground Truth Validation of Sentinel-2 Data Using Mobile Wireless Ad Hoc Sensor Networks (MWSN) in Vegetation Stands oleh Hannes Mollenhauer, Erik Borg, Bringfried Pflug, Bernd Fichtelmann, Thorsten Dahms, Sebastian Lorenz, Olaf Mollenhauer, Angela Lausch, Jan Bumberger, Peter Dietrich
Diterbitkan 2023-09-01Dapatkan teks lengkap
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