Role of high-resolution phenology and productivity data from Sentinel-2 in prediction of grassland management type (data/code)

DATA.zip: gl22_public.shp - Skåne grasslands along with mean HR-VPP parameters and all vegetation indices for 2022, used for Fig.1, Fig.4 gl22_conf_pred_public.shp - the result of the grassland management type prediction based on the ANN model + conformal prediction. Used for Fig.7,8 model_accuracy_vs_data_size.xlsx - used for Fig. 9 feature_importance_ann.csv - used for Fig.10 ANN_Report.txt - used for Fig.6 RF_Report.txt, XGB_Report.txt - used in Appendix E(B) CODE.zip: North_field_scatterplots.R - reproduces Fig.3 Skane_province_boxplots_KWallis.R - reproduces Fig. 4. and Appendices F, G Skane_local_dots_KWallis.R - reproduces Fig.5 and Appendix H

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-21
DOI
https://doi.org/10.5281/zenodo.20329409
Primary Topic
Remote Sensing in Agriculture
Type
article
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article

Role of high-resolution phenology and productivity data from Sentinel-2 in prediction of grassland management type (data/code)

Anna Terskaia
Zenodo (CERN European Organization for Nuclear Research)
Remote Sensing in Agriculture
article

Role of high-resolution phenology and productivity data from Sentinel-2 in prediction of grassland management type (data/code)

Anna Terskaia
article en

Abstract

DATA.zip: gl22_public.shp - Skåne grasslands along with mean HR-VPP parameters and all vegetation indices for 2022, used for Fig.1, Fig.4 gl22_conf_pred_public.shp - the result of the grassland management type prediction based on the ANN model + conformal prediction. Used for Fig.7,8 model_accuracy_vs_data_size.xlsx - used for Fig. 9 feature_importance_ann.csv - used for Fig.10 ANN_Report.txt - used for Fig.6 RF_Report.txt, XGB_Report.txt - used in Appendix E(B) CODE.zip: North_field_scatterplots.R - reproduces Fig.3 Skane_province_boxplots_KWallis.R - reproduces Fig. 4. and Appendices F, G Skane_local_dots_KWallis.R - reproduces Fig.5 and Appendix H

Zenodo (CERN European Organization for Nuclear Research)
Lund University (SE)
Openalex Percentile: Top 6%
Remote Sensing in Agriculture
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