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Sentinel-2 Exposed Soil Composite for Soil Organic Carbon Prediction

Remote sensing (Basel, Switzerland), 2021-05, Vol.13 (9), p.1791

2021

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Urban structure type characterization using hyperspectral remote sensing and height information

Landscape and urban planning, 2012-04, Vol.105 (4), p.361-375

2012

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Estimation of Soil Organic Carbon Contents in Croplands of Bavaria from SCMaP Soil Reflectance Composites

Remote sensing (Basel, Switzerland), 2021-08, Vol.13 (16), p.3141

2021

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Data Products, Quality and Validation of the DLR Earth Sensing Imaging Spectrometer (DESIS)

Sensors (Basel, Switzerland), 2019-10, Vol.19 (20), p.4471

2019

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Are urban material gradients transferable between areas?

International journal of applied earth observation and geoinformation, 2021-08, Vol.100, p.102332, Article 102332

2021

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Mapping individual silver fir trees using hyperspectral and LiDAR data in a Central European mixed forest

International journal of applied earth observation and geoinformation, 2021-06, Vol.98, p.102311, Article 102311

2021

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Scale-Specific Prediction of Topsoil Organic Carbon Contents Using Terrain Attributes and SCMaP Soil Reflectance Composites

Remote sensing (Basel, Switzerland), 2022-05, Vol.14 (10), p.2295

2022

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Soil Reflectance Composites—Improved Thresholding and Performance Evaluation

Remote sensing (Basel, Switzerland), 2022-09, Vol.14 (18), p.4526

2022

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Detecting Unknown Artificial Urban Surface Materials Based on Spectral Dissimilarity Analysis

Sensors (Basel, Switzerland), 2017-08, Vol.17 (8), p.1826

2017

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Vegetation Indices for Mapping Canopy Foliar Nitrogen in a Mixed Temperate Forest

Remote sensing (Basel, Switzerland), 2016, Vol.8 (6), p.491-491

2016

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Evaluating Prediction Models for Mapping Canopy Chlorophyll Content Across Biomes

Remote sensing (Basel, Switzerland), 2020-06, Vol.12 (11), p.1788

2020

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Capability of Spaceborne Hyperspectral EnMAP Mission for Mapping Fractional Cover for Soil Erosion Modeling

Remote sensing (Basel, Switzerland), 2015-09, Vol.7 (9), p.11776-11800

2015

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Can the Future EnMAP Mission Contribute to Urban Applications? A Literature Survey

Remote Sensing, 2011-09, Vol.3 (9), p.1817-1846

2011

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Endmember-Guided Unmixing Network (EGU-Net): A General Deep Learning Framework for Self-Supervised Hyperspectral Unmixing

IEEE transaction on neural networks and learning systems, 2022-11, Vol.33 (11), p.6518-6531

2022

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Foreword to the Special Issue on Hyperspectral Remote Sensing and Imaging Spectroscopy

IEEE journal of selected topics in applied earth observations and remote sensing, 2016-09, Vol.9 (9), p.3904-3908

2016

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Improving soil organic carbon predictions from a Sentinel–2 soil composite by assessing surface conditions and uncertainties

Geoderma, 2023-01, Vol.429, p.116128, Article 116128

2023

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Soil organic carbon mapping utilizing convolutional neural networks and Earth observation data, a case study in Bavaria state Germany

Geoderma, 2024-04, Vol.444, p.116867, Article 116867

2024

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Building an exposed soil composite processor (SCMaP) for mapping spatial and temporal characteristics of soils with Landsat imagery (1984–2014)

Remote sensing of environment, 2018-02, Vol.205, p.1-17

2018

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Tree species classification using plant functional traits from LiDAR and hyperspectral data

International journal of applied earth observation and geoinformation, 2018-12, Vol.73, p.207-219

2018

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The influence of vegetation index thresholding on EO-based assessments of exposed soil masks in Germany between 1984 and 2019

ISPRS journal of photogrammetry and remote sensing, 2021-08, Vol.178, p.366-381

2021

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Gradients in urban material composition: A new concept to map cities with spaceborne imaging spectroscopy data

Remote sensing of environment, 2019-03, Vol.223, p.179-193

2019

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Optimized bare soil compositing for soil organic carbon prediction of topsoil croplands in Bavaria using Landsat

ISPRS journal of photogrammetry and remote sensing, 2023-08, Vol.202, p.287-302

2023

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Solar photovoltaic module detection using laboratory and airborne imaging spectroscopy data

Remote sensing of environment, 2021-12, Vol.266, p.112692-112692, Article 112692

2021

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Determination of robust spectral features for identification of urban surface materials in hyperspectral remote sensing data

Remote sensing of environment, 2007-12, Vol.111 (4), p.537-552

2007

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Integration of remote sensing based surface information into a three-dimensional microclimate model

ISPRS journal of photogrammetry and remote sensing, 2017-03, Vol.125, p.106-124

2017

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Sentinel-2 Exposed Soil Composite for Soil Organic Carbon Prediction

Urban structure type characterization using hyperspectral remote sensing and height information

Estimation of Soil Organic Carbon Contents in Croplands of Bavaria from SCMaP Soil Reflectance Composites

Data Products, Quality and Validation of the DLR Earth Sensing Imaging Spectrometer (DESIS)

Are urban material gradients transferable between areas?

Mapping individual silver fir trees using hyperspectral and LiDAR data in a Central European mixed forest

Scale-Specific Prediction of Topsoil Organic Carbon Contents Using Terrain Attributes and SCMaP Soil Reflectance Composites

Soil Reflectance Composites—Improved Thresholding and Performance Evaluation

Detecting Unknown Artificial Urban Surface Materials Based on Spectral Dissimilarity Analysis

Vegetation Indices for Mapping Canopy Foliar Nitrogen in a Mixed Temperate Forest

Evaluating Prediction Models for Mapping Canopy Chlorophyll Content Across Biomes

Capability of Spaceborne Hyperspectral EnMAP Mission for Mapping Fractional Cover for Soil Erosion Modeling

Can the Future EnMAP Mission Contribute to Urban Applications? A Literature Survey

Endmember-Guided Unmixing Network (EGU-Net): A General Deep Learning Framework for Self-Supervised Hyperspectral Unmixing

Foreword to the Special Issue on Hyperspectral Remote Sensing and Imaging Spectroscopy

Improving soil organic carbon predictions from a Sentinel–2 soil composite by assessing surface conditions and uncertainties

Soil organic carbon mapping utilizing convolutional neural networks and Earth observation data, a case study in Bavaria state Germany

Building an exposed soil composite processor (SCMaP) for mapping spatial and temporal characteristics of soils with Landsat imagery (1984–2014)

Tree species classification using plant functional traits from LiDAR and hyperspectral data

The influence of vegetation index thresholding on EO-based assessments of exposed soil masks in Germany between 1984 and 2019

Gradients in urban material composition: A new concept to map cities with spaceborne imaging spectroscopy data

Optimized bare soil compositing for soil organic carbon prediction of topsoil croplands in Bavaria using Landsat

Solar photovoltaic module detection using laboratory and airborne imaging spectroscopy data

Determination of robust spectral features for identification of urban surface materials in hyperspectral remote sensing data

Integration of remote sensing based surface information into a three-dimensional microclimate model

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