Institute of Rural Studies
Phone: +49 531 596 5501
Fax: +49 531 596 5599
Institute of Rural Economics
The monitoring of area-related measures in context of the Common Agricultural Policy (CAP) and nature conservation is currently carried out through time-consuming and cost-intensive on-site inspections. By using Sentinel satellite data, authorities of the agricultural and nature conservation agencies shall be able to reduce on-site inspections in the future. A cloud-based web application has been developed to aid this process, by performing an automated satellite data analysis, displaying evaluation results and download options for users.
The good spatial coverage and high temporal resolution of the Sentinel satellites of the European Copernicus Earth observation programme enable a close temporal recording of agricultural land use and the identification of land use changes.
We aim to aid administrative authorities and other interested users to integrate satellite data anylsis into their work in order to impove the efficiency of time- and cost-intensive on-site checks in areal monitoring. Within the project "timeStamp" scientists of the Thünen Institute and the other project partners have been developing a web application. This application evaluates whether the declared land use corresponds with the land use depicted by satellite data, or if land use change is indicated. As an exemplary use case the "monitoring EFA/greening catch crop sites in the context of the EU agricultural funding (CAP)" has been implemented. Control cues are provided with a traffic light colour coding.
In addition, a multifunctional basic function provides standard time-series graphs, test parameters and change indicators to be used in monitoring land use change and land use management.
Ministries of agriculture and environment, land authorities, official nature conservation, agricultural administration, European Commission
The following steps are undertaken:
By analysing the Sentinel-1 (radar) and Sentinel-2 (spectral) time series data, algorithms for the identification of catch crops can be derived using appropriate metrics (measures) and indices for seeding, growth and plough of the catch crops.
For the development of the algorithms, catch-crop sites in the field are mapped and IACS and on-site control data are used for training and tests.
The technical infrastructure of the application has been implemented in the Microsoft AzureCloud initially and will be migrated to CODE-DE. The backend has a modular design based on docker containers. With the user interface users can create, upload and manage jobs and also display and download the results.
The prototype of the timeStamp application provides a cloud-based software infrastructure for automated remote sensing data analysis.
The user interface enables users with basic knowledge on remote sensing to integrate satellite data into their work.
The multifunctional basic function offers evaluation options for a variety of topics related to monitoring land use and nature conservation. The verification of catch crop sites is based on the analysis of the temporal pattern of the vegetation index (NDVI). Based on a set of test parameters (e.g. minima, maxima, trends) the probability of the presence of a catch crop is calculated. These site-specific evaluation results and the output of visual control instructions can support a targeted planning of spot checks.
The timeStamp application will developed further within the projects 'SenSchiene' and 'Copernicus lights green'.
8.2018 - 4.2022
Project funding number: 50EW1704A
Funding program: DLR - Entwicklung und Implementierungsvorbereitung von Copernicus Diensten für den öffentlichen Bedarf in Deutschland
Project status: ongoing