Atzberger, C.[Clement]
* 2011: Mapping grassland leaf area index with airborne hyperspectral imagery: A comparison study of statistical approaches and inversion of radiative transfer models
* 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
* 2012: Suitability of WorldView-2 data for tree species classification with special emphasis on the four new spectral bands
* 2012: Tree Species Classification with Random Forest Using Very High Spatial Resolution 8-Band WorldView-2 Satellite Data
* 2013: Advances in Remote Sensing of Agriculture: Context Description, Existing Operational Monitoring Systems and Major Information Needs
* 2013: Advances in Remote Sensing of Agriculture: Context Description, Existing Operational Monitoring Systems and Major Information Needs
* 2013: Bayesian Networks for Raster Data (BayNeRD): Plausible Reasoning from Observations
* 2013: Estimation of Leaf Area Index Using DEIMOS-1 Data: Application and Transferability of a Semi-Empirical Relationship between two Agricultural Areas
* 2013: Evaluation of Agreement Between Space Remote Sensing SPOT-VEGETATION fAPAR Time Series
* 2013: Mapping the Spatial Distribution of Winter Crops at Sub-Pixel Level Using AVHRR NDVI Time Series and Neural Nets
* 2013: Phenological Metrics Derived over the European Continent from NDVI3g Data and MODIS Time Series
* 2013: Using Low Resolution Satellite Imagery for Yield Prediction and Yield Anomaly Detection
* 2013: Using Low Resolution Satellite Imagery for Yield Prediction and Yield Anomaly Detection
* 2013: Wavelet-based texture measures for object-based classification of aerial images
* 2014: ARCTIS: A MATLAB® Toolbox for Archaeological Imaging Spectroscopy
* 2014: Early Detection of Bark Beetle Infestation in Norway Spruce (Picea abies, L.) using WorldView-2 Data
* 2014: Evaluating Phenological Metrics derived from the MODIS Time Series over the European Continent
* 2014: Improving Land Cover Maps in Areas of Disagreement of Existing Products using NDVI Time Series of MODIS: Example for Europe
* 2014: Low-cost Terrestrial Photogrammetry as a Tool for a Sample-Based Assessment of Soil Roughness
* 2014: Method Analysis for Collecting and Processing in-situ Hyperspectral Needle Reflectance Data for Monitoring Norway Spruce
* 2014: Potential and Uptake of Remote Sensing in Insurance: A Review, The
* 2014: Special Issue on Geodata Processing at the Institute of Surveying, Remote Sensing and Land Information at BOKU in Vienna
* 2015: Estimating Forest fAPAR from Multispectral Landsat-8 Data Using the Invertible Forest Reflectance Model INFORM
* 2015: Self-Guided Segmentation and Classification of Multi-Temporal Landsat 8 Images for Crop Type Mapping in Southeastern Brazil
* 2015: Single- and Multi-Date Crop Identification Using PROBA-V 100 and 300 m S1 Products on Zlatia Test Site, Bulgaria
* 2016: Cloud Cover Assessment for Operational Crop Monitoring Systems in Tropical Areas
* 2016: Combined Satellite-Derived Drought Indicator to Support Humanitarian Aid Organizations, A
* 2016: Data Service Platform for Sentinel-2 Surface Reflectance and Value-Added Products: System Use and Examples
* 2016: First Experience with Sentinel-2 Data for Crop and Tree Species Classifications in Central Europe
* 2016: Operational Drought Monitoring in Kenya Using MODIS NDVI Time Series
* 2017: Assessing the Potential of Sentinel-2 and Pléiades Data for the Detection of Prosopis and Vachellia spp. in Kenya
* 2017: On the Objectivity of the Objective Function: Problems with Unsupervised Segmentation Evaluation Based on Global Score and a Possible Remedy
* 2018: Evaluation of the PROSAIL Model Capabilities for Future Hyperspectral Model Environments: A Review Study
* 2018: Individual Tree Crown Segmentation and Classification of 13 Tree Species Using Airborne Hyperspectral Data
* 2018: Model-Based Optimization of Spectral Sampling for the Retrieval of Crop Variables with the PROSAIL Model
* 2018: Phenology-Based Method to Map Cropping Patterns under a Wheat-Maize Rotation Using Remotely Sensed Time-Series Data, A
* 2019: Estimation of Climatologies of Average Monthly Air Temperature over Mongolia Using MODIS Land Surface Temperature (LST) Time Series and Machine Learning Techniques
* 2019: Mixed Model Approach to Vegetation Condition Prediction Using Artificial Neural Networks (ANN): Case of Kenya's Operational Drought Monitoring, A
* 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
* 2019: Optimal Input Features for Tree Species Classification in Central Europe Based on Multi-Temporal Sentinel-2 Data
* 2019: Optimal Threshold and Vegetation Index Time Series for Retrieving Crop Phenology Based on a Modified Dynamic Threshold Method, The
* 2020: Editorial for the Special Issue Estimation of Crop Phenotyping Traits using Unmanned Ground Vehicle and Unmanned Aerial Vehicle Imagery
* 2020: Spectral Imagery Tensor Decomposition for Semantic Segmentation of Remote Sensing Data through Fully Convolutional Networks
* 2021: Remote Sensing Applications in Sugarcane Cultivation: A Review
* 2021: Zanthoxylum bungeanum Maxim mapping with multi-temporal Sentinel-2 images: The importance of different features and consistency of results
* 2022: Combination of Sentinel-1 and Sentinel-2 Data for Tree Species Classification in a Central European Biosphere Reserve
* 2022: Deep Learning for Vegetation Health Forecasting: A Case Study in Kenya
* 2022: Designing a European-Wide Crop Type Mapping Approach Based on Machine Learning Algorithms Using LUCAS Field Survey and Sentinel-2 Data
* 2022: Quantitative Assessment of the Spatial Scale Effects of the Vegetation Phenology in the Qinling Mountains
* 2023: Integration of Deep Learning and Transfer Learning for Earthquake-Risk Assessment in the Eurasian Region, An
* 2023: Tree Species Diversity Mapping: Success Stories and Possible Ways Forward
Includes: Atzberger, C.[Clement] Atzberger, C.
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