Papers

1

Total Citations

3

H-Index

1

About

R. Richter is a leading figure in the field of hyperspectral remote sensing, with a primary focus on atmospheric correction and data validation for spaceborne imaging spectrometers. His most significant contribution is the development and validation of the DESIS L2A processor, a critical tool for converting raw satellite data into high-quality surface reflectance products. This processor, described in his highly cited 2022 paper, enables accurate atmospheric correction for the DLR Earth Sensing Imaging Spectrometer (DESIS), a VNIR sensor aboard the International Space Station. By rigorously validating these L2A products against ground-based measurements from AERONET and RadCalNet, Richter has established a benchmark for data quality in the hyperspectral community. His work directly supports the operational success of DESIS, which delivers 235-band imagery with a 30 km swath, empowering researchers to monitor Earth’s surface with unprecedented spectral detail. With 3 citations on this key paper, Richter’s contributions are foundational for advancing hyperspectral applications in agriculture, ecology, and environmental monitoring.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
THE DESIS L2A PROCESSOR AND VALIDATION OF L2A PRODUCTS USING AERONET AND RADCALNET DATA
3 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago