Estimation of grassland use intensities based on high spatial resolution LAI time series

13 citations as recorded by crossref.

1. Quantifying grazing patterns using a new growth function based on MODIS Leaf Area Index R. Yu et al. 10.1016/j.rse.2018.02.034
2. Modelling habitats in karst landscape by integrating remote sensing and topography data M. Valjavec et al. 10.1515/geo-2018-0011
3. Multi-annual grassland mowing dynamics in Germany: spatio-temporal patterns and the influence of climate, topographic and socio-political conditions S. Reinermann et al. 10.3389/fenvs.2023.1040551
4. Sentinel-2 Based Temporal Detection of Agricultural Land Use Anomalies in Support of Common Agricultural Policy Monitoring U. Kanjir et al. 10.3390/ijgi7100405
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6. Grassland Mowing Detection Using Sentinel-1 Time Series: Potential and Limitations M. De Vroey et al. 10.3390/rs13030348
7. Multi-Temporal and Multiscale Satellite Remote Sensing Imagery Analysis for Detecting Pasture Area Changes after Grazing Cessation Due to the Fukushima Daiichi Nuclear Disaster M. Muxiye & C. Yonezawa 10.3390/rs15225416
8. Remote Sensing of Grassland Production and Management—A Review S. Reinermann et al. 10.3390/rs12121949
9. Estimating Grassland Parameters from Sentinel-2: A Model Comparison Study M. Schwieder et al. 10.1007/s41064-020-00120-1
10. Review of Remote Sensing Applications in Grassland Monitoring Z. Wang et al. 10.3390/rs14122903
11. Combining satellite data and agricultural statistics to map grassland management intensity in Europe S. Estel et al. 10.1088/1748-9326/aacc7a
12. Grassland Use Intensity Classification Using Intra-Annual Sentinel-1 and -2 Time Series and Environmental Variables A. Potočnik Buhvald et al. 10.3390/rs14143387
13. Classifying Sub-Parcel Grassland Management Practices by Optical and Microwave Remote Sensing M. De Vroey et al. 10.3390/rs15010181