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 Web application, based on remote sensing data, shall enable this. A cloud-based web application has developed for automated satellite data analysis and output of evaluation results to aid this process.
The good spatial coverage and high temporal resolution of the Sentinel satellites of the Earth observation programme of Copernicus today allow a close temporal recording of agricultural land use and identification of land use changes.
We aim to aid administrative authorities and other interested users in utilisting satellite data to impove the efficiency of time- and cost-intensive on-site checks in the area of site monitoring by integrating satellite data anylsis into their workflows.
Within the framework of the project "timeStamp", scientists of the Thünen Institute and the other project partners are 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.
A web application is developed for an exemplary use case " monitoring EFA/greening catch crop sites in the context of the EU agricultural funding (CAP)", it provides control cues with a traffic light colour coding related to the expected land use of catch cops.
In addition to this, a multifunctional basic function provides standard time-series graphs, test parameters, and change indicators usable for various areas of application related to land use change and management.
Ministries of agriculture and environment, land authorities, official nature conservation, agricultural administration, European Commission
The following steps will be undertaken:
By analyzing 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 InVekoS and on-site control data are used as training and test data.
The technical infrastructure of the application is implemented in the Microsoft AzureCloud using docker containers as a modular backend. Via the user interface, users can create, send and manage test jobs as well as display and download the results.
The prototype of the timeStamp application provides a cloud-based software infrastructure for automated remote analysis.
The user interface allows even users with only basic knowledge about remote sensing to integrate satellite data into their work.
The multifunctional basic function offers evaluation options for a variety of questions concerning land monitoring in environmental and nature conservation. The verification of catch crop sites is based on the analysis of the temporal pattern of the vegetation index (NDVI). From a set of test parameters (e.g. minima, maxima, trends) the probability of the presence of a catch crop is calculated. The site-specific evaluation results and the output of visual control instructions can support a targeted planning of spot checks.
Within the project 'Copernicus lights green' the application is to be developed further, migrated to CODE-DE and prepared for operational use.
8.2018 - 10.2021
Project funding number: 50EW1704A
Funding program: DLR - Entwicklung und Implementierungsvorbereitung von Copernicus Diensten für den öffentlichen Bedarf in Deutschland
Project status: ongoing