Remote sensing of grassland production and management—A review

S Reinermann, S Asam, C Kuenzer - Remote Sensing, 2020 - mdpi.com
Grasslands cover one third of the earth's terrestrial surface and are mainly used for livestock
production. The usage type, use intensity and condition of grasslands are often unclear …

Review of remote sensing applications in grassland monitoring

Z Wang, Y Ma, Y Zhang, J Shang - Remote Sensing, 2022 - mdpi.com
The application of remote sensing technology in grassland monitoring and management has
been ongoing for decades. Compared with traditional ground measurements, remote …

[HTML][HTML] Crop mapping from image time series: Deep learning with multi-scale label hierarchies

MO Turkoglu, S D'Aronco, G Perich, F Liebisch… - Remote Sensing of …, 2021 - Elsevier
The aim of this paper is to map agricultural crops by classifying satellite image time series.
Domain experts in agriculture work with crop type labels that are organised in a hierarchical …

[HTML][HTML] Mapping grassland mowing events across Germany based on combined Sentinel-2 and Landsat 8 time series

M Schwieder, M Wesemeyer, D Frantz, K Pfoch… - Remote Sensing of …, 2022 - Elsevier
Spatially explicit knowledge on grassland extent and management is critical to understand
and monitor the impact of grassland use intensity on ecosystem services and biodiversity …

[HTML][HTML] Exploring the potential of land surface phenology and seasonal cloud free composites of one year of Sentinel-2 imagery for tree species mapping in a …

A Kollert, M Bremer, M Löw, M Rutzinger - International Journal of Applied …, 2021 - Elsevier
Optical satellite imagery with high temporal and spatial resolution, such as acquired by
Sentinel-2, is increasingly becoming available and is used to derive maps of tree species …

Mapping land-use intensity of grasslands in Germany with machine learning and Sentinel-2 time series

M Lange, H Feilhauer, I Kühn, D Doktor - Remote Sensing of Environment, 2022 - Elsevier
Abstract Information on grassland land-use intensity (LUI) is crucial for understanding trends
and dynamics in biodiversity, ecosystem functioning, earth system science and …

[HTML][HTML] Quantifying drought effects in Central European grasslands through regression-based unmixing of intra-annual Sentinel-2 time series

K Kowalski, A Okujeni, M Brell, P Hostert - Remote Sensing of Environment, 2022 - Elsevier
Severe droughts caused unprecedented impacts on grasslands in Central Europe in 2018
and 2019. Yet, spatially varying drought impacts on grasslands remain poorly understood as …

[HTML][HTML] Pixel-based yield mapping and prediction from Sentinel-2 using spectral indices and neural networks

G Perich, MO Turkoglu, LV Graf, JD Wegner… - Field Crops …, 2023 - Elsevier
Mapping and predicting crop yield on a large scale is increasingly important for use cases
such as policy-making, risk insurance and precision agriculture applications at farm and field …

Mowing detection using Sentinel-1 and Sentinel-2 time series for large scale grassland monitoring

M De Vroey, L de Vendictis, M Zavagli… - Remote Sensing of …, 2022 - Elsevier
Managed grasslands cover about one third of the European utilized agricultural area.
Appropriate grassland management is key for balancing trade-offs between provisioning …

The impacts of disturbances on mountain ecosystem services: Insights from BEAST and Bayesian network

R Lyu, J Pang, J Zhang, J Zhang - Applied Geography, 2024 - Elsevier
Disturbances, such as wildfire, insect outbreak, wind throw and building construction, can
significantly alter ecological processes and impact the supply of mountain ecosystem …