There is a convincing evidence that tillage operations have negative effects on soil, water and organic matter conservation (e.g., Foley, Nature 2011). Particularly in semi-arid regions, they produce an increase of soil erosion and evaporation that may reduce crop production (Aboudrare et al., Agricultural Water Management, 2006). For these reasons, the Food and Agricultural organization (FAO)...
In recent years monitoring of earth system dynamics by means of remote sensing satellites has begun to play an important role in the provisioning of spatial distributed input or validation data for earth system and or land surface models. With the different global initiatives such as the essential climate variables (ECV) defined by the World Meteorological Organization (WMO) or the European...
In this study, we monitored a full growing season of five key crop types across the Flevopolder in the Netherlands. Crop height and growth stage were monitored weekly in a total of 25 parcels of maize, potato, sugar beet maize and English rye grass. Hydrometeorological data were collected throughout the season. Here, these results are used to interpret time series of Sentinel-1 data processed...
- Introduction
- Study area, data and methods
2.1 Study area
2.2 Used data and their processing - Results and discussion
3.1 Comparison of the radar vegetation index (RVI) with normalized difference vegetation index (NDVI)
3.2 Possibility to delineate the differences between high and low yield patterns - Conclusion
Electromagnetic scattering mechanisms in agricultural scenarios, i.e. in dependency of dielectric and geometric soil and plant parameters, are highly complex. Towards an inversion of such parameters from multi-parametric SAR measurements, it is therefore of interest to separate the scattering mechanisms occurring on the ground, i.e. surface (soil) and dihedral (soil-trunk interactions)...
The Sentinel constellation of Earth Observation (EO) satellites provides unique and new possibilities to monitor European agricultural landscapes. The vast database of images acquired at a high temporal frequency of every 5 to 6 days can now enable identifying changes in land use management or intensity, specific cropping practices and land use dynamics, and harvests of various crop types...
