Remote sensing of grassland production and management—A review
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 …
production. The usage type, use intensity and condition of grasslands are often unclear …
Remote sensing as a tool to assess botanical composition, structure, quantity and quality of temperate grasslands
M Wachendorf, T Fricke, T Möckel - Grass and forage science, 2018 - Wiley Online Library
Grassland systems frequently exhibit small‐scale botanical and structural heterogeneity with
pronounced spatio‐temporal dynamics. These features present particular challenges for …
pronounced spatio‐temporal dynamics. These features present particular challenges for …
[HTML][HTML] Mapping grassland mowing events across Germany based on combined Sentinel-2 and Landsat 8 time series
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 …
and monitor the impact of grassland use intensity on ecosystem services and biodiversity …
Comparing Sentinel-1 and-2 data and indices for agricultural land use monitoring
AK Holtgrave, N Röder, A Ackermann, S Erasmi… - Remote Sensing, 2020 - mdpi.com
Agricultural vegetation development and harvest date monitoring over large areas requires
frequent remote sensing observations. In regions with persistent cloud coverage during the …
frequent remote sensing observations. In regions with persistent cloud coverage during the …
[HTML][HTML] Mowing event detection in permanent grasslands: Systematic evaluation of input features from Sentinel-1, Sentinel-2, and Landsat 8 time series
The intensity of land use and management in permanent grasslands affects both biodiversity
and important ecosystem services. Comprehensive knowledge about these intensities is a …
and important ecosystem services. Comprehensive knowledge about these intensities is a …
Polarimetric convolutional network for PolSAR image classification
The approaches for analyzing the polarimetric scattering matrix of polarimetric synthetic
aperture radar (PolSAR) data have always been the focus of PolSAR image classification …
aperture radar (PolSAR) data have always been the focus of PolSAR image classification …
Prediction of plant diversity in grasslands using Sentinel-1 and-2 satellite image time series
The prediction of grasslands plant diversity using satellite image time series is considered in
this article. Fifteen months of freely available Sentinel optical and radar data were used to …
this article. Fifteen months of freely available Sentinel optical and radar data were used to …
Relating Sentinel-1 interferometric coherence to mowing events on grasslands
In this study, the interferometric coherence calculated from 12-day Sentinel-1 image pairs
was analysed in relation to mowing events on agricultural grasslands. Results showed that …
was analysed in relation to mowing events on agricultural grasslands. Results showed that …
Detection of grassland mowing events for Germany by combining Sentinel-1 and Sentinel-2 time series
Grasslands cover one-third of the agricultural area in Germany and play an important
economic role by providing fodder for livestock. In addition, they fulfill important ecosystem …
economic role by providing fodder for livestock. In addition, they fulfill important ecosystem …
Review of synthetic aperture radar with deep learning in agricultural applications
Abstract Synthetic Aperture Radar (SAR) observations, valued for their consistent acquisition
schedule and not being affected by cloud cover and variations between day and night, have …
schedule and not being affected by cloud cover and variations between day and night, have …