Get started
Author

Matthias Wocher

Observed names: M Wocher, M. Wocher, Wocher, Matthias
Institution: OHB (Germany)
ORCID: 0000-0002-7180-2356
Observed ORCID: 0000-0002-7180-2356
OpenAlex ID: A5037702692
Crop nitrogen monitoring: Recent progress and principal developments in the context of imaging spectroscopy missions
2020 · Katja Berger, Jochem Verrelst, et al. · Remote Sensing of Environment · 454
Retrieval of aboveground crop nitrogen content with a hybrid machine learning method
2020 · Katja Berger, Jochem Verrelst, et al. · International Journal of Applied Earth Observation and Geoinformation · 194
PDF
Efficient RTM-based training of machine learning regression algorithms to quantify biophysical & biochemical traits of agricultural crops
2021 · Martin Danner, Katja Berger, et al. · ISPRS Journal of Photogrammetry and Remote Sensing · 168
Gaussian processes retrieval of crop traits in Google Earth Engine based on Sentinel-2 top-of-atmosphere data
2022 · José Estévez, Matías Salinero-Delgado, et al. · Remote Sensing of Environment · 118
A Survey of Active Learning for Quantifying Vegetation Traits from Terrestrial Earth Observation Data
2021 · Katja Berger, Juan Pablo Rivera Caicedo, et al. · Remote Sensing · 117
PDF
Fitted PROSAIL Parameterization of Leaf Inclinations, Water Content and Brown Pigment Content for Winter Wheat and Maize Canopies
2019 · Martin Danner, Katja Berger, et al. · Remote Sensing · 81
PDF
Retrieval of Biophysical Crop Variables from Multi-Angular Canopy Spectroscopy
2017 · Martin Danner, Katja Berger, et al. · Remote Sensing · 73
PDF
Retrieval of carbon content and biomass from hyperspectral imagery over cultivated areas
2022 · Matthias Wocher, Katja Berger, et al. · ISPRS Journal of Photogrammetry and Remote Sensing · 65
PDF
Physically-Based Retrieval of Canopy Equivalent Water Thickness Using Hyperspectral Data
2018 · Matthias Wocher, Katja Berger, et al. · Remote Sensing · 65
PDF
Top-of-Atmosphere Retrieval of Multiple Crop Traits Using Variational Heteroscedastic Gaussian Processes within a Hybrid Workflow
2021 · José Estévez, Katja Berger, et al. · Remote Sensing · 63
PDF
Assessing Non-Photosynthetic Cropland Biomass from Spaceborne Hyperspectral Imagery
2021 · Katja Berger, Tobias Hank, et al. · Remote Sensing · 49
PDF
Model-Based Optimization of Spectral Sampling for the Retrieval of Crop Variables with the PROSAIL Model
2018 · Katja Berger, Clement Atzberger, et al. · Remote Sensing · 43
PDF
RTM-based dynamic absorption integrals for the retrieval of biochemical vegetation traits
2020 · Matthias Wocher, Katja Berger, et al. · International Journal of Applied Earth Observation and Geoinformation · 26
Prototyping Vegetation Traits Models in the Context of the Hyperspectral Chime Mission Preparation
2021 · J. Verrelst, C. De Grave, et al. · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 13
Simulation of Spaceborne Hyperspectral Remote Sensing to Assist Crop Nitrogen Content Monitoring in Agricultural Crops
2018 · K Berger, Z Wang, et al. · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 12
Towards Quantifying Non-Photosynthetic Vegetation for Agriculture Using Spaceborne Imaging Spectroscopy
2021 · K. Berger, A. Halabuk, et al. · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 8
Introducing the Potential of the EnMAP-Box for Agricultural Applications Using Desis and Prisma Data
2021 · T. Hank, K. Berger, et al. · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 7
Developing a Sandbox Environment for Prosail, Suitable for Education and Research
2018 · Martin Danner, Matthias Wocher, et al. · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 5
Modellbasierte Selektion hyperspektraler EnMAP Kanäle zur optimalen Invertierung von Strahlungstransfermodellen für landwirtschaftliche Kulturen
2018 · Katja Berger, Clement Atzberger, et al. · PFG – Journal of Photogrammetry Remote Sensing and Geoinformation Science · 2
PDF
Introducing the Potential of the New Enmap-Box Hybrid Retrieval Workflow for Quantifying Non-Photosynthetic Vegetation
2024 · S. Steinhauser, M. Wocher, et al. · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 1
Hyperspectral Retrieval of Canopy Water Content Through Inversion of the Beer-Lambert Law
2018 · M Wocher, K Berger, et al. · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 1
Physics-based simulation of CHIME and LSTM data to support advanced agricultural monitoring
2026 · Marco Spagnolli, Egor Prikaziuk, et al. · The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences
PDF
Advanced monitoring of crop traits with hyperspectral and multispectral time series
2026 · Matthias Wocher, Anne Schucknecht, et al. · The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences
PDF
HyLAP - Hyperspektrale Produkte für die Landwirtschaft
2026 · Schucknecht, Anne, Wocher, Matthias, et al. · RENATE
HyLAP - Hyperspectral Products for Agricultural Practise - Demonstrator Dataset - Hybrid Retrieval of Vegetation Traits - Validation and Mapping
2026 · Wocher, Matthias, Schucknecht, Anne, et al. · Zenodo (CERN European Organization for Nuclear Research)
Works count: 35
Citation count: 1,565
H-index: 13
I10-index: 15
Year
Topic
Type