Introducing the Potential of the EnMAP-Box for Agricultural Applications Using Desis and Prisma Data

Abstract

Contiguous spectral measurements enable the derivation of a large variety of agriculturally relevant biophysical and biochemical variables. Recent and future hyperspectral Earth observation missions are combining the advantages of high spectral resolution with the stability and reliability of satellite platforms. This potentially enables the integration of hyperspectral information products into agricultural practice. Dedicated tools are required that make use of the added value of contiguous spectral information operationally provided from spaceborne instruments. The free and open source software “EnMAP-Box” features a collection of hyperspectral algorithms (“Agricultural Applications: Agri-Apps”) that are specifically designed for the retrieval of agriculturally relevant information products. By applying these tools to data from DESIS and PRISMA sensors collected during the growing season of 2020, the potential of the EnMAP-Box Agri-Apps for supporting agricultural land use monitoring is demonstrated. First results indicate that the collection of agricultural algorithms is well-suited to process hyperspectral data from different sources not limited to EnMAP.