[HTML][HTML] Hyperedu online learning program for hyperspectral remote sensing: Concept, implementation and lessons learned

S Foerster, A Brosinsky, K Koch, R Eckardt - International Journal of Applied …, 2024 - Elsevier
The increasing importance of Earth observation information for society and environment,
particularly in the expanding domain of hyperspectral remote sensing, along with the …

[HTML][HTML] Estimating Soil Organic Carbon using multitemporal PRISMA imaging spectroscopy data

KJ Ward, S Foerster, S Chabrillat - Geoderma, 2024 - Elsevier
Soils are the largest terrestrial carbon pool and a valuable good that provides important
ecosystem services. Since soils are threatened by degradation and in order to fight climate …

Improving retrieval of leaf chlorophyll content from Sentinel-2 and Landsat-7/8 imagery by correcting for canopy structural effects

L Wan, Y Ryu, B Dechant, J Lee, Z Zhong… - Remote Sensing of …, 2024 - Elsevier
Accurately estimating leaf chlorophyll content (Chl) at large spatial scales is crucial for
monitoring agricultural production and plant photosynthesis. Sentinel-2 and Landsat-7/8 …

[HTML][HTML] EnMAP-Box: Imaging spectroscopy in QGIS

B Jakimow, A Janz, F Thiel, A Okujeni, P Hostert… - SoftwareX, 2023 - Elsevier
Satellite missions like EnMAP and PRISMA generate raster images that describe the Earth's
environment with hyperspectral resolution. Such imaging spectroscopy data is of high value …

[HTML][HTML] Assessment of the spaceborne EnMAP hyperspectral data for alteration mineral mapping: A case study of the Reko Diq porphyry CuAu deposit, Pakistan

S Asadzadeh, X Zhou, S Chabrillat - Remote Sensing of Environment, 2024 - Elsevier
For over four decades, spaceborne multispectral data have played a crucial role in
supporting mineral exploration and geologic mapping. The spaceborne multispectral …

Using PRISMA Hyperspectral Data for Land Cover Classification with Artificial Intelligence Support

G Delogu, E Caputi, M Perretta, MN Ripa, L Boccia - Sustainability, 2023 - mdpi.com
Hyperspectral satellite missions, such as PRISMA of the Italian Space Agency (ASI), have
opened up new research opportunities. Using PRISMA data in land cover classification has …

Detecting rare earth elements using EnMAP hyperspectral satellite data: a case study from Mountain Pass, California

S Asadzadeh, N Koellner, S Chabrillat - Scientific Reports, 2024 - nature.com
Rare earth elements (REEs) exhibit diagnostic absorption features in the visible-near
infrared region, enabling their detection and identification via spectroscopic methods …

[HTML][HTML] Characterizing water composition with an autonomous robotic team employing comprehensive in situ sensing, hyperspectral imaging, machine learning, and …

J Waczak, A Aker, LOH Wijeratne, S Talebi… - Remote Sensing, 2024 - mdpi.com
Inland waters pose a unique challenge for water quality monitoring by remote sensing
techniques due to their complicated spectral features and small-scale variability. At the same …

First retrievals of surface and atmospheric properties using EnMAP measurements over Antarctica

AA Kokhanovsky, M Brell, K Segl, G Bianchini… - Remote Sensing, 2023 - mdpi.com
The paper presents the first retrievals of clean snow properties using spaceborne
hyperspectral observations via the Environmental Mapping and Analysis Program (EnMAP) …

[HTML][HTML] The EnMAP spaceborne imaging spectroscopy mission: Initial scientific results two years after launch

S Chabrillat, S Foerster, K Segl, A Beamish… - Remote Sensing of …, 2024 - Elsevier
Imaging spectroscopy has been a recognized and established remote sensing technology
since the 1980s, mainly using airborne and field-based platforms to identify and quantify key …