[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 …
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 …
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
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 …
monitoring agricultural production and plant photosynthesis. Sentinel-2 and Landsat-7/8 …
[HTML][HTML] EnMAP-Box: Imaging spectroscopy in QGIS
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 …
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 …
supporting mineral exploration and geologic mapping. The spaceborne multispectral …
Using PRISMA Hyperspectral Data for Land Cover Classification with Artificial Intelligence Support
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 …
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 …
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 …
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 …
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) …
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
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 …
since the 1980s, mainly using airborne and field-based platforms to identify and quantify key …