Clement Atzberger
Orcid: 0000-0003-2169-8009
According to our database1,
Clement Atzberger
authored at least 70 papers
between 2008 and 2024.
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Bibliography
2024
Within-season crop monitoring at continental scale utilizing new gap-filled Landsat temporal series.
Int. J. Digit. Earth, December, 2024
Remote Quantification of Soil Organic Carbon: Role of Topography in the Intra-Field Distribution.
Remote. Sens., May, 2024
Using Barlow Twins to Create Representations From Cloud-Corrupted Remote Sensing Time Series.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
CoRR, 2024
From Spectra to Biophysical Insights: End-to-End Learning with a Biased Radiative Transfer Model.
CoRR, 2024
IEEE Access, 2024
Estimating Mangrove Leaf Area Index from Sentinel-2 Imagery Using Inform Radiative Transfer Model.
Proceedings of the IGARSS 2024, 2024
2023
An Integration of Deep Learning and Transfer Learning for Earthquake-Risk Assessment in the Eurasian Region.
Remote. Sens., August, 2023
Remote. Sens., June, 2023
2022
Quantitative Assessment of the Spatial Scale Effects of the Vegetation Phenology in the Qinling Mountains.
Remote. Sens., 2022
Remote. Sens., 2022
Combination of Sentinel-1 and Sentinel-2 Data for Tree Species Classification in a Central European Biosphere Reserve.
Remote. Sens., 2022
Designing a European-Wide Crop Type Mapping Approach Based on Machine Learning Algorithms Using LUCAS Field Survey and Sentinel-2 Data.
Remote. Sens., 2022
The potential of modeling <i>Prosopis Juliflora</i> invasion using Sentinel-2 satellite data and environmental variables in the dryland ecosystem of Ethiopia.
Ecol. Informatics, 2022
Mapping of crop types in 1989, 1999, 2009 and 2019 to assess major land cover trends of the Udon Thani Province, Thailand.
Comput. Electron. Agric., 2022
2021
2020
Spectral Imagery Tensor Decomposition for Semantic Segmentation of Remote Sensing Data through Fully Convolutional Networks.
Remote. Sens., 2020
Editorial for the Special Issue "Estimation of Crop Phenotyping Traits using Unmanned Ground Vehicle and Unmanned Aerial Vehicle Imagery".
Remote. Sens., 2020
Fine-scale detection of vegetation in semi-arid mountainous areas with focus on riparian landscapes using Sentinel-2 and UAV data.
Comput. Electron. Agric., 2020
2019
Estimation of Climatologies of Average Monthly Air Temperature over Mongolia Using MODIS Land Surface Temperature (LST) Time Series and Machine Learning Techniques.
Remote. Sens., 2019
Optimal Input Features for Tree Species Classification in Central Europe Based on Multi-Temporal Sentinel-2 Data.
Remote. Sens., 2019
The Optimal Threshold and Vegetation Index Time Series for Retrieving Crop Phenology Based on a Modified Dynamic Threshold Method.
Remote. Sens., 2019
A Mixed Model Approach to Vegetation Condition Prediction Using Artificial Neural Networks (ANN): Case of Kenya's Operational Drought Monitoring.
Remote. Sens., 2019
Model Ensembles of Artificial Neural Networks and Support Vector Regression for Improved Accuracy in the Prediction of Vegetation Conditions and Droughts in Four Northern Kenya Counties.
ISPRS Int. J. Geo Inf., 2019
A mixed model approach to drought prediction using artificial neural networks: Case of an operational drought monitoring environment.
CoRR, 2019
2018
Individual Tree Crown Segmentation and Classification of 13 Tree Species Using Airborne Hyperspectral Data.
Remote. Sens., 2018
A Phenology-Based Method to Map Cropping Patterns under a Wheat-Maize Rotation Using Remotely Sensed Time-Series Data.
Remote. Sens., 2018
Model-Based Optimization of Spectral Sampling for the Retrieval of Crop Variables with the PROSAIL Model.
Remote. Sens., 2018
Evaluation of the PROSAIL Model Capabilities for Future Hyperspectral Model Environments: A Review Study.
Remote. Sens., 2018
Int. J. Appl. Earth Obs. Geoinformation, 2018
Convolutional Neural Networks for Semantic Segmentation of Multispectral Remote Sensing Images.
Proceedings of the 10th IEEE Latin-American Conference on Communications, 2018
Research on the Optimal Thresholds for Crop Start and End of Season Retrieval from Remotely Sensed Time-Series Data Based on Ground Observations.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
2017
Assessing the Potential of Sentinel-2 and Pléiades Data for the Detection of <i>Prosopis</i> and <i>Vachellia</i> spp. in Kenya.
Remote. Sens., 2017
On the Objectivity of the Objective Function - Problems with Unsupervised Segmentation Evaluation Based on Global Score and a Possible Remedy.
Remote. Sens., 2017
Smoothing and gap-filling of high resolution multi-spectral time series: Example of Landsat data.
Int. J. Appl. Earth Obs. Geoinformation, 2017
2016
Data Service Platform for Sentinel-2 Surface Reflectance and Value-Added Products: System Use and Examples.
Remote. Sens., 2016
Remote. Sens., 2016
First Experience with Sentinel-2 Data for Crop and Tree Species Classifications in Central Europe.
Remote. Sens., 2016
A Combined Satellite-Derived Drought Indicator to Support Humanitarian Aid Organizations.
Remote. Sens., 2016
Remote. Sens., 2016
Mapping Prosopis spp. with Landsat 8 data in arid environments: Evaluating effectiveness of different methods and temporal imagery selection for Hargeisa, Somaliland.
Int. J. Appl. Earth Obs. Geoinformation, 2016
2015
Estimating Forest fAPAR from Multispectral Landsat-8 Data Using the Invertible Forest Reflectance Model INFORM.
Remote. Sens., 2015
Self-Guided Segmentation and Classification of Multi-Temporal Landsat 8 Images for Crop Type Mapping in Southeastern Brazil.
Remote. Sens., 2015
Single- and Multi-Date Crop Identification Using PROBA-V 100 and 300 m S1 Products on Zlatia Test Site, Bulgaria.
Remote. Sens., 2015
Comparison of the Landsat Surface Reflectance Climate Data Record (CDR) and manually atmospherically corrected data in a semi-arid European study area.
Int. J. Appl. Earth Obs. Geoinformation, 2015
Comparative analysis of different retrieval methods for mapping grassland leaf area index using airborne imaging spectroscopy.
Int. J. Appl. Earth Obs. Geoinformation, 2015
2014
Remote. Sens., 2014
Remote. Sens., 2014
Phenological Metrics Derived over the European Continent from NDVI3g Data and MODIS Time Series.
Remote. Sens., 2014
Corrigendum to "Comparative analysis of different uni- and multi-variate methods for estimation of vegetation water content using hyper-spectral measurements" [Int. J. Appl. Earth Observation and Geoinformation 26 (2014) 1-11].
Int. J. Appl. Earth Obs. Geoinformation, 2014
Comparative analysis of different uni- and multi-variate methods for estimation of vegetation water content using hyper-spectral measurements.
Int. J. Appl. Earth Obs. Geoinformation, 2014
Near real time yield estimation for sugarcane in Brazil combining remote sensing and official statistical data.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014
Assessment of suitable observation conditions for a monthly operational remote sensing based crop monitoring system.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014
2013
Evaluation of Agreement Between Space Remote Sensing SPOT-VEGETATION fAPAR Time Series.
IEEE Trans. Geosci. Remote. Sens., 2013
Estimation of Leaf Area Index Using DEIMOS-1 Data: Application and Transferability of a Semi-Empirical Relationship between two Agricultural Areas.
Remote. Sens., 2013
Correction: Rembold, F.; Atzberger, C.; Savin, I.; Rojas, O. Using Low Resolution Satellite Imagery for Yield Prediction and Yield Anomaly Detection. <i>Remote</i><i>Sens</i> 2013, <i>5</i>, 1704-1733.
Remote. Sens., 2013
Using Low Resolution Satellite Imagery for Yield Prediction and Yield Anomaly Detection.
Remote. Sens., 2013
Remote. Sens., 2013
Mapping the Spatial Distribution of Winter Crops at Sub-Pixel Level Using AVHRR NDVI Time Series and Neural Nets.
Remote. Sens., 2013
Correction: Atzberger, C. Advances in Remote Sensing of Agriculture: Context Description, Existing Operational Monitoring Systems and Major Information Needs. <i>Remote Sens</i> 2013, <i>5</i>, 949-981.
Remote. Sens., 2013
Advances in Remote Sensing of Agriculture: Context Description, Existing Operational Monitoring Systems and Major Information Needs.
Remote. Sens., 2013
2012
Vegetation Structure Retrieval in Beech and Spruce Forests Using Spectrodirectional Satellite Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2012
Potential of Multi-Angular Data Derived From a Digital Aerial Frame Camera for Forest Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2012
Exploiting the Classification Performance of Support Vector Machines with Multi-Temporal Moderate-Resolution Imaging Spectroradiometer (MODIS) Data in Areas of Agreement and Disagreement of Existing Land Cover Products.
Remote. Sens., 2012
Tree Species Classification with Random Forest Using Very High Spatial Resolution 8-Band WorldView-2 Satellite Data.
Remote. Sens., 2012
Regularization strategies for agricultural monitoring: The EnMAP vegetation analyzer (AVA).
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
2011
Evaluation of Sentinel-2 Spectral Sampling for Radiative Transfer Model Based LAI Estimation of Wheat, Sugar Beet, and Maize.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2011
A time series for monitoring vegetation activity and phenology at 10-daily time steps covering large parts of South America.
Int. J. Digit. Earth, 2011
2010
Retrieval of chlorophyll and nitrogen in Norway spruce (Picea abies L. Karst.) using imaging spectroscopy.
Int. J. Appl. Earth Obs. Geoinformation, 2010
2008
Estimation of vegetation LAI from hyperspectral reflectance data: Effects of soil type and plant architecture.
Int. J. Appl. Earth Obs. Geoinformation, 2008