C. Atzberger

发表

Inter-comparison of four models for smoothing satellite sensor time-series data to estimate vegetation phenology

P. Atkinson, J. Dash, Cheryl Stephen Jeganathan, 2012 .

Experimental assessment of the Sentinel-2 band setting for RTM-based LAI retrieval of sugar beet and maize

G. D’Urso, C. Atzberger, K. Richter, 2009 .

Spatially constrained inversion of radiative transfer models for improved LAI mapping from future Sentinel-2 imagery

C. Atzberger, K. Richter, 2012 .

Remote sensing of forest biophysical variables using HyMap imaging spectrometer data

M. Schlerf, J. Hill, C. Atzberger, 2005 .

Inversion of a radiative transfer model for estimating vegetation LAI and chlorophyll in a heterogeneous grassland

A. Skidmore, M. Schlerf, C. Atzberger, 2008 .

Inversion of a forest reflectance model to estimate structural canopy variables from hyperspectral remote sensing data

M. Schlerf, C. Atzberger, 2006 .

Object-based retrieval of biophysical canopy variables using artificial neural nets and radiative transfer models

C. Atzberger, 2004 .

Tree Species Classification with Random Forest Using Very High Spatial Resolution 8-Band WorldView-2 Satellite Data

Clement Atzberger, Markus Immitzer, Tatjana Koukal, 2012, Remote. Sens..

Comparing three canopy reflectance models with hyperspectral multi-angular satellite data

W. Verhoef, A. Skidmore, M. Schlerf, 2007 .

Mapping grassland leaf area index with airborne hyperspectral imagery : a comparison study of statistical approaches and inversion of radiative transfer models

A. Skidmore, M. Schlerf, C. Atzberger, 2011 .

Estimation of vegetation LAI from hyperspectral reflectance data: Effects of soil type and plant architecture

Clement Atzberger, Andrew K. Skidmore, Roshanak Darvishzadeh, 2008, Int. J. Appl. Earth Obs. Geoinformation.

Leaf Area Index derivation from hyperspectral vegetation indicesand the red edge position

A. Skidmore, C. Atzberger, R. Darvishzadeh, 2009 .

Wavelet-based texture measures for object-based classification of aerial images

Clement Atzberger, Markus Immitzer, Philipp Toscani, 2013 .

Improved monitoring of vegetation dynamics at very high latitudes: A new method using MODIS NDVI

P. Beck, A. Skidmore, C. Atzberger, 2006 .

Evaluating the effectiveness of smoothing algorithms in the absence of ground reference measurements

P. Eilers, C. Atzberger, 2011 .

The fourth phase of the radiative transfer model intercomparison (RAMI) exercise: Actual canopy scenarios and conformity testing

Nadine Gobron, Feng Zhao, Bernard Pinty, 2015 .

The fourth radiation transfer model intercomparison (RAMI‐IV): Proficiency testing of canopy reflectance models with ISO‐13528

Philip Lewis, D. Xie, Hideki Kobayashi, 2013 .

Potential of Multi-Angular Data Derived From a Digital Aerial Frame Camera for Forest Classification

Clement Atzberger, Tatjana Koukal, C. Atzberger, 2012, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Evaluation of Agreement Between Space Remote Sensing SPOT-VEGETATION fAPAR Time Series

Michele Meroni, Clement Atzberger, Christelle Vancutsem, 2013, IEEE Transactions on Geoscience and Remote Sensing.

Cloud Cover Assessment for Operational Crop Monitoring Systems in Tropical Areas

Clement Atzberger, Markus Immitzer, Marcio Pupin Mello, 2016, Remote. Sens..

Object-based crop classification using multitemporal OLI imagery and Chain Classification with Random Forest

C. Atzberger, A. Formaggio, Markus Immitzer, 2014 .

Towards red‐edge positions less sensitive to canopy biophysical parameters for leaf chlorophyll estimation using properties optique spectrales des feuilles (PROSPECT) and scattering by arbitrarily inclined leaves (SAILH) simulated data

M. Cho, A. Skidmore, C. Atzberger, 2008 .

LAI and chlorophyll estimation for a heterogeneous grassland using hyperspectral measurements

Clement Atzberger, Andrew K. Skidmore, Moses Azong Cho, 2008 .

Use of a forest reflectance model for empirical estimation of Norway spruce characteristics from hyperspectral remote sensing imagery

M. Schlerf, C. Atzberger, 2002 .

Quantitative analysis of salt-affected soil reflectance spectra: A comparison of two adaptive methods (PLSR and ANN)

F. Meer, C. Atzberger, E. Carranza, 2007 .

Inverting the PROSAIL canopy reflectance model using neural nets trained on streamlined databases

Clement Atzberger, C. Atzberger, 2010 .

Land Suitability Evaluation for Agricultural Cropland in Mongolia Using the Spatial MCDM Method and AHP Based GIS

C. Atzberger, J. Chambers, D. Amarsaikhan, 2017 .

Spectral characteristics of salt-affected soils: A laboratory experiment

F. Meer, C. Atzberger, J. Farifteh, 2008 .

Retrieval of vegetation biochemicals using a radiative transfer model and hyperspectral data

A. Skidmore, M. Schlerf, C. Atzberger, 2010 .

Examining the potential of using information on fire detected by MODIS and socio-economic variables to highlight potential coca cultivations in forest areas in Colombia

S. Fritz, C. Atzberger, L. See, 2014 .

Use of WorldView-2 stereo imagery and National Forest Inventory data for wall-to-wall mapping of growing stock

C. Atzberger, Markus Immitzer, C. Straub, 2016 .

Suitability and adaptation of PROSAIL radiative transfer model for hyperspectral grassland studies

M. Schlerf, C. Atzberger, R. Darvishzadeh, 2013 .

Windthrow Detection in European Forests with Very High-Resolution Optical Data

C. Atzberger, Markus Immitzer, Sebastian Böck, 2017 .

Evaluation of semi-empirical BRDF models inverted against multi-angle data from a digital airborne frame camera for enhancing forest type classification

C. Atzberger, T. Koukal, W. Schneider, 2014 .

Near real-time vegetation anomaly detection with MODIS NDVI: Timeliness vs. accuracy and effect of anomaly computation options

Michele Meroni, Clement Atzberger, Dominique Fasbender, 2019, Remote sensing of environment.

Portability of neural nets modelling regional winter crop acreages using AVHRR time series

Clement Atzberger, Felix Rembold, C. Atzberger, 2012 .

Mapping pasture biomass in Mongolia using Partial Least Squares, Random Forest regression and Landsat 8 imagery

Clement Atzberger, Jonathan Chambers, Munkhdulam Otgonbayar, 2018, International Journal of Remote Sensing.

Tree species and age class mapping in a central European woodland using optical remote sensing imagery and orthophoto derived stem density : performance of multispectral and hyperspectral sensors

Clement Atzberger, Martin Schlerf, M. Schlerf, 2002 .

Fractional cover mapping of spruce and pine at 1 ha resolution combining very high and medium spatial resolution satellite imagery

Clement Atzberger, Markus Immitzer, Francesco Vuolo, 2018 .

Mapping Prosopis juliflora in West Somaliland with Landsat 8 Satellite Imagery and Ground Information

C. Atzberger, F. Rembold, M. Meroni, 2017 .

Ensemble approach for potential habitat mapping of invasive Prosopis spp. in Turkana, Kenya

Clement Atzberger, Markus Immitzer, Wai-Tim Ng, 2018, Ecology and evolution.

Comparative analysis of three chemometric techniques for the spectroradiometric assessment of canopy chlorophyll content in winter wheat

Clement Atzberger, Frédéric Baret, Willy Werner, 2010 .

Analysis of Land Cover Change Detection in Gozamin District, Ethiopia: From Remote Sensing and DPSIR Perspectives

Clement Atzberger, Reinfried Mansberger, Abebaw Andarge Gedefaw, 2020, Sustainability.

Modeling grass yields in Qinghai Province, China, based on MODIS NDVI data—an empirical comparison

C. Atzberger, Kejian Shen, Yongmei Liu, 2020, Frontiers of Earth Science.

Estimation of Leaf Area Index and Chlorophyll for a Mediterranean Grassland Using Hyperspectral Data

M. Cho, A. Skidmore, M. Schlerf, 2008 .

Estimating dry biomass and plant nitrogen concentration in pre-Alpine grasslands with low-cost UAS-borne multispectral data – a comparison of sensors, algorithms, and predictor sets

C. Atzberger, B. Seo, R. Kiese, 2021, Biogeosciences.

Monitoring agriculture and agri-environmental conditions with Earth Observation

C. Atzberger, M. Meroni, O. Leo, 2013 .

Combination of Sentinel-1 and Sentinel-2 Data for Tree Species Classification in a Central European Biosphere Reserve

C. Atzberger, M. Hollaus, Markus Immitzer, 2022, Remote. Sens..

Mapping of crop types in 1989, 1999, 2009 and 2019 to assess major land cover trends of the Udon Thani Province, Thailand

C. Atzberger, F. Vuolo, Markus Immitzer, 2022, Comput. Electron. Agric..

Effects of Land Certification for Rural Farm Households in Ethiopia: Evidence from Gozamin District, Ethiopia

Abebaw Andarge Gedefaw, C. Atzberger, R. Mansberger, 2020, Land.

Forest change as a proxy for landslide occurrence - a Sentinel 2 based spatio-temporal landslide detection approach for two test sites

C. Atzberger, C. Notarnicola, S. Steger, 2020 .

Combining multi-indicators with machine-learning algorithms for maize yield early prediction at the county-level in China

J. Peñuelas, C. Atzberger, M. Mccabe, 2022, Agricultural and Forest Meteorology.

Multi-sensor spectral synergies for crop stress detection and monitoring in the optical domain: A review

Esra Tunc Gormus, Ma. Luisa Buchaillot, E. T. Gormus, 2022, Remote sensing of environment.

ARCTIS - A MATLAB® Toolbox for Archaeological Imaging Spectroscopy

Clement Atzberger, Michael Doneus, Geert J. Verhoeven, 2014, Remote. Sens..

Targeting landscapes to identify mitigation options in smallholder agriculture

C. Atzberger, M. Rufino, G. Baldi, 2016 .

Remote Sensing in Ecology and Conservation: three years on

N. Pettorelli, J. Swenson, J. Ahumada, 2017 .

Spectroradiometric determination of wheat bio-physical variables. Comparison of different empirical-statistical approaches

M. Schlerf, C. Atzberger, T. Jarmer, 2004 .

Deep Learning for Vegetation Health Forecasting: A Case Study in Kenya

C. Atzberger, S. Reece, S. Dadson, 2022, Remote. Sens..

Hyperspectral response of agronomic variables to background optical variability: Results of a numerical experiment.

C. Atzberger, R. Darvishzadeh, B. Somers, 2022, Agricultural and forest meteorology.

Evaluation of Accuracy Enhancement in European-Wide Crop Type Mapping by Combining Optical and Microwave Time Series

C. Atzberger, F. Vuolo, Markus Immitzer, 2022, Land.

Sugarcane yield estimation in São Paulo State - Brazil

C. Atzberger, A. Formaggio, M. P. Mello, 2015 .

Farmers Willingness to Participate In Voluntary Land Consolidation in Gozamin District, Ethiopia

Abebaw Andarge Gedefaw, C. Atzberger, R. Mansberger, 2019, Land.

Crop phenotyping studies with application to crop monitoring

C. Atzberger, J. Doonan, Wanneng Yang, 2022, The Crop Journal.

Derivation of forest leaf area index from multi - and hyperspectral remote sensing data

M. Schlerf, M. Vohland, J. Hill, 2004 .

Quantitative Assessment of the Spatial Scale Effects of the Vegetation Phenology in the Qinling Mountains

C. Atzberger, Wenquan Zhu, Jianhong Liu, 2022, Remote. Sens..

Object - based stem density estimates in a mid - European forest district based on artificial neural nets : comparison of Landsat - TM and HyMAP performances

M. Schlerf, C. Atzberger, 2002 .

Comparative analysis of different uni- and multi-variate methods for estimation of vegetation water content using hyper-spectral measurements

Clement Atzberger, Andrew K. Skidmore, Roshanak Darvishzadeh, 2014, Int. J. Appl. Earth Obs. Geoinformation.

First Experience with Sentinel-2 Data for Crop and Tree Species Classifications in Central Europe

Clement Atzberger, Markus Immitzer, Francesco Vuolo, 2016, Remote. Sens..

Assessing the Potential of Sentinel-2 and Pléiades Data for the Detection of Prosopis and Vachellia spp. in Kenya

Clement Atzberger, Markus Immitzer, Wai-Tim Ng, 2017, Remote. Sens..

Self-Guided Segmentation and Classification of Multi-Temporal Landsat 8 Images for Crop Type Mapping in Southeastern Brazil

Clement Atzberger, Markus Immitzer, Alfredo José Barreto Luiz, 2015, Remote. Sens..

Comparison of the Landsat Surface Reflectance Climate Data Record (CDR) and manually atmospherically corrected data in a semi-arid European study area

Clement Atzberger, Francesco Vuolo, Matteo Mattiuzzi, 2015, Int. J. Appl. Earth Obs. Geoinformation.

Object Based Image Analysis and Data Mining applied to a remotely sensed Landsat time-series to map sugarcane over large areas

Clement Atzberger, Daniel Alves Aguiar, Marcio Pupin Mello, 2012 .

Zanthoxylum bungeanum Maxim mapping with multi-temporal Sentinel-2 images: The importance of different features and consistency of results

Clement Atzberger, Mingxing Liu, Jianhong Liu, 2021 .

Advances in Remote Sensing of Agriculture: Context Description, Existing Operational Monitoring Systems and Major Information Needs

Clement Atzberger, C. Atzberger, 2013, Remote. Sens..

How much does multi-temporal Sentinel-2 data improve crop type classification?

Clement Atzberger, Markus Immitzer, Francesco Vuolo, 2018, Int. J. Appl. Earth Obs. Geoinformation.

A Phenology-Based Method to Map Cropping Patterns under a Wheat-Maize Rotation Using Remotely Sensed Time-Series Data

Xin Huang, Clement Atzberger, Wenquan Zhu, 2018, Remote. Sens..

New ways to extract archaeological information from hyperspectral pixels

Clement Atzberger, Geert Verhoeven, Michael Doneus, 2014 .

Phenological Metrics Derived over the European Continent from NDVI3g Data and MODIS Time Series

Clement Atzberger, Francesco Vuolo, Anja Klisch, 2013, Remote. Sens..

Estimation of Leaf Area Index Using DEIMOS-1 Data: Application and Transferability of a Semi-Empirical Relationship between two Agricultural Areas

Clement Atzberger, Francesco Vuolo, Guido D'Urso, 2013, Remote. Sens..

Single- and Multi-Date Crop Identification Using PROBA-V 100 and 300 m S1 Products on Zlatia Test Site, Bulgaria

Clement Atzberger, Vassil Vassilev, Lachezar Filchev, 2015, Remote. Sens..

Editorial for the Special Issue "Estimation of Crop Phenotyping Traits using Unmanned Ground Vehicle and Unmanned Aerial Vehicle Imagery"

Zhenhai Li, Xiuliang Jin, Clement Atzberger, 2020, Remote. Sens..

Remote Sensing Applications in Sugarcane Cultivation: A Review

Clement Atzberger, Emma Izquierdo-Verdiguier, Markus Immitzer, 2021, Remote. Sens..

Correction: Atzberger, C. Advances in Remote Sensing of Agriculture: Context Description, Existing Operational Monitoring Systems and Major Information Needs. Remote Sens 2013, 5, 949-981

Clement Atzberger, C. Atzberger, 2013, Remote. Sens..

Early detection of spruce vitality loss with hyperspectral data: Results of an experimental study in Bavaria, Germany

C. Atzberger, Markus Immitzer, N. Pinnel, 2021, Remote Sensing of Environment.

Comparative analysis of different retrieval methods for mapping grassland leaf area index using airborne imaging spectroscopy

Clement Atzberger, Andrew K. Skidmore, Markus Immitzer, 2015, Int. J. Appl. Earth Obs. Geoinformation.

Derivation of biophysical variables from Earth observation data: validation and statistical measures

Clement Atzberger, Wolfram Mauser, Tobias Hank, 2012 .

Why confining to vegetation indices? Exploiting the potential of improved spectral observations using radiative transfer models

Clement Atzberger, Roshanak Darvishzadeh, Francesco Vuolo, 2011, Remote Sensing.

Retrieval of chlorophyll and nitrogen in Norway spruce (Picea abies L. Karst.) using imaging spectroscopy

Clement Atzberger, Joachim Hill, Henning Buddenbaum, 2010, Int. J. Appl. Earth Obs. Geoinformation.

Geostatistical regularization of inverse models for the retrieval of vegetation biophysical variables

Clement Atzberger, K. Richter, C. Atzberger, 2009, Remote Sensing.

Retrieval of wheat bio - physical attributes from hyperspectral data and SAILH + PROSPECT radiative transfer model

Clement Atzberger, Martin Schlerf, Thomas Jarmer, 2003 .

Spectrometric estimation of leaf pigments in Norway spruce needles using band - depth analysis, partial least - square regression and inversion of a conifer leaf model

Clement Atzberger, Thomas Udelhoven, Martin Schlerf, 2003 .

The Potential and Uptake of Remote Sensing in Insurance: A Review

Clement Atzberger, Jan de Leeuw, Anton Vrieling, 2014, Remote. Sens..

Obtaining crop-specific time profiles of NDVI: the use of unmixing approaches for serving the continuity between SPOT-VGT and PROBA-V time series

Clement Atzberger, Yosio Edemir Shimabukuro, Thomas Udelhoven, 2014 .

Bayesian Networks for Raster Data (BayNeRD): Plausible Reasoning from Observations

Edzer J. Pebesma, Clement Atzberger, Carlos Antonio Oliveira Vieira, 2013, Remote. Sens..

Using Low Resolution Satellite Imagery for Yield Prediction and Yield Anomaly Detection

Clement Atzberger, Felix Rembold, Igor V. Savin, 2013, Remote. Sens..

Mapping the Spatial Distribution of Winter Crops at Sub-Pixel Level Using AVHRR NDVI Time Series and Neural Nets

Clement Atzberger, Felix Rembold, C. Atzberger, 2013, Remote. Sens..

A time series for monitoring vegetation activity and phenology at 10-daily time steps covering large parts of South America

Clement Atzberger, Paul H. C. Eilers, P. Eilers, 2011, Int. J. Digit. Earth.

Evaluation of the PROSAIL Model Capabilities for Future Hyperspectral Model Environments: A Review Study

Wolfram Mauser, Katja Berger, Tobias Hank, 2018, Remote. Sens..

Model-Based Optimization of Spectral Sampling for the Retrieval of Crop Variables with the PROSAIL Model

Clement Atzberger, Wolfram Mauser, Katja Berger, 2018, Remote. Sens..

Data Service Platform for Sentinel-2 Surface Reflectance and Value-Added Products: System Use and Examples

Clement Atzberger, Frédéric Baret, Markus Immitzer, 2016, Remote. Sens..

Regularization strategies for agricultural monitoring: The EnMAP vegetation analyzer (AVA)

Clement Atzberger, Wolfram Mauser, Tobias Hank, 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

Evaluation of Sentinel-2 Spectral Sampling for Radiative Transfer Model Based LAI Estimation of Wheat, Sugar Beet, and Maize

Clement Atzberger, Katja Richter, Francesco Vuolo, 2011, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Site specific calibration of a crop model by assimilation of observations derived from remote sensing : abstract

C. Atzberger, B. Mary, J. Machet, 2004 .

The Optimal Threshold and Vegetation Index Time Series for Retrieving Crop Phenology Based on a Modified Dynamic Threshold Method

Xin Huang, Qiufeng Liu, Wenquan Zhu, 2019, Remote. Sens..

Land Use, Land Use History, and Soil Type Affect Soil Greenhouse Gas Fluxes From Agricultural Landscapes of the East African Highlands

D. Pelster, L. Verchot, C. Atzberger, 2018 .

Estimating conifer forest LAI with HyMap data using a reflectance model and artificial neural nets

M. Schlerf, C. Atzberger, S. Mader, 2005 .

Species Distribution Modelling performance and its implication for Sentinel-2-based prediction of invasive Prosopis juliflora in lower Awash River basin, Ethiopia

C. Atzberger, Worku Zewdie, Nurhussen Ahmed, 2021, Ecological Processes.

Vegetation Structure Retrieval in Beech and Spruce Forests Using Spectrodirectional Satellite Data

Clement Atzberger, Martin Schlerf, M. Schlerf, 2012, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Goodness-of-fit measures: what do they tell about vegetation variable retrieval performance from Earth observation data

Clement Atzberger, Wolfram Mauser, Tobias Hank, 2011, Remote Sensing.

Hyperspectral vegetation indices for estimation of leaf area index

A. Skidmore, C. Atzberger, R. Darvishzadeh, 2006 .

Individual Tree Crown Segmentation and Classification of 13 Tree Species Using Airborne Hyperspectral Data

Clement Atzberger, Markus Immitzer, Julia Maschler, 2018, Remote. Sens..

Designing a European-Wide Crop Type Mapping Approach Based on Machine Learning Algorithms Using LUCAS Field Survey and Sentinel-2 Data

C. Atzberger, F. Vuolo, Markus Immitzer, 2022, Remote. Sens..

Optimal Input Features for Tree Species Classification in Central Europe Based on Multi-Temporal Sentinel-2 Data

Sebastian Böck, Markus Immitzer, Francesco Vuolo, 2019, Remote. Sens..

Smoothing and gap-filling of high resolution multi-spectral time series: Example of Landsat data

Clement Atzberger, Francesco Vuolo, Wai-Tim Ng, 2016, Int. J. Appl. Earth Obs. Geoinformation.

First Experience with Sentinel-2 Data for Crop and Tree Species Classifications in Central Europe

C. Atzberger, F. Vuolo, Markus Immitzer, 2016, Remote. Sens..

Fine-scale detection of vegetation in semi-arid mountainous areas with focus on riparian landscapes using Sentinel-2 and UAV data

Markus Immitzer, Clement Atzberger, Ardalan Daryaei, 2020, Comput. Electron. Agric..

Satellite-based monitoring of tropical seagrass vegetation: current techniques and future developments

Clement Atzberger, Jan de Leeuw, Jelle G. Ferwerda, 2007, Hydrobiologia.

Understanding deep learning in land use classification based on Sentinel-2 time series

Emma Izquierdo-Verdiguier, Gustau Camps-Valls, Manuel Campos-Taberner, 2020, Scientific Reports.

Remote sensing time series analysis for crop monitoring with the SPIRITS software: new functionalities and use examples

Michele Meroni, Clement Atzberger, Herman Eerens, 2015, Front. Environ. Sci..

Evaluation of time-series and phenological indicators for land cover classification based on MODIS data

Clement Atzberger, Francesco Vuolo, K. Richter, 2011, Remote Sensing.

On the Objectivity of the Objective Function - Problems with Unsupervised Segmentation Evaluation Based on Global Score and a Possible Remedy

Clement Atzberger, Sebastian Böck, Markus Immitzer, 2017, Remote. Sens..

A Mixed Model Approach to Vegetation Condition Prediction Using Artificial Neural Networks (ANN): Case of Kenya's Operational Drought Monitoring

Clement Atzberger, Robert Oboko, Peter Waiganjo Wagacha, 2019, Remote. Sens..

A mixed model approach to drought prediction using artificial neural networks: Case of an operational drought monitoring environment pdf

Clement Atzberger, Robert Oboko, Robert O. Oboko, 2019, ArXiv.

A Combined Satellite-Derived Drought Indicator to Support Humanitarian Aid Organizations

Clement Atzberger, Wouter Dorigo, Wolfgang Wagner, 2016, Remote Sensing.

Does the design matter? Comparing satellite-based indices for insuring pastoralists against drought

Clement Atzberger, Anton Vrieling, Andrew G. Mude, 2019, Ecological Economics.

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

Clement Atzberger, Francesco Vuolo, C. Atzberger, 2012, Remote. Sens..

Satellite-based analysis of the role of land use/land cover and vegetation density on surface temperature regime of Delhi, India

Clement Atzberger, Javed Mallick, Norman Kerle, 2009 .

Costs and benefits of satellite-based tools for irrigation management

Clement Atzberger, Francesco Vuolo, Laura Essl, 2015, Front. Environ. Sci..

Data service platform for MODIS Vegetation Indices time series processing at BOKU Vienna: current status and future perspectives

Clement Atzberger, Francesco Vuolo, Anja Klisch, 2012, Remote Sensing.

Spectral Imagery Tensor Decomposition for Semantic Segmentation of Remote Sensing Data through Fully Convolutional Networks

Stewart René Santos Arce, Clement Atzberger, Deni Torres, 2020, Remote. Sens..

Integration of remote sensing and bioclimatic data for prediction of invasive species distribution in data-poor regions: a review on challenges and opportunities

Clement Atzberger, Nurhussen Ahmed, Worku Zewdie, 2020, Environmental Systems Research.

Grassland cut detection based on Sentinel-2 time series to respond to the environmental and technical challenges of the Austrian fodder production for livestock feeding

C. Atzberger, F. Vuolo, A. Schaumberger, 2023, Remote Sensing of Environment.

Estimating Forest fAPAR from Multispectral Landsat-8 Data Using the Invertible Forest Reflectance Model INFORM

Fei Li, Clement Atzberger, Ronghua Ma, 2015, Remote. Sens..

Operational Drought Monitoring in Kenya Using MODIS NDVI Time Series

Clement Atzberger, Anja Klisch, C. Atzberger, 2016, Remote. Sens..

Tree Species Diversity Mapping - Success Stories and Possible Ways Forward

C. Atzberger, Markus Immitzer, 2023, Remote. Sens..

Estimation of Climatologies of Average Monthly Air Temperature over Mongolia Using MODIS Land Surface Temperature (LST) Time Series and Machine Learning Techniques

Clement Atzberger, Matteo Mattiuzzi, Munkhdulam Otgonbayar, 2019, Remote. Sens..

Method Analysis for Collecting and Processing in-situ Hyperspectral Needle Reflectance Data for Monitoring Norway Spruce

Markus Immitzer, Clement Atzberger, Kathrin Einzmann, 2014 .

Near real time yield estimation for sugarcane in Brazil combining remote sensing and official statistical data

Clement Atzberger, Marcio Pupin Mello, Antônio Roberto Formaggio, 2014, 2014 IEEE Geoscience and Remote Sensing Symposium.

Reviews and syntheses: Remotely sensed optical time series for monitoring vegetation productivity

E. T. Gormus, M. Rautiainen, I. Herrmann, 2024, Biogeosciences.

Estimation of bioclimatic variables of Mongolia derived from remote sensing data

C. Atzberger, J. Chambers, M. Otgonbayar, 2021, Frontiers of Earth Science.

Mapping Prosopis spp. with Landsat 8 data in arid environments: Evaluating effectiveness of different methods and temporal imagery selection for Hargeisa, Somaliland

Michele Meroni, Clement Atzberger, Sebastian Böck, 2016, Int. J. Appl. Earth Obs. Geoinformation.

The potential of modeling Prosopis Juliflora invasion using Sentinel-2 satellite data and environmental variables in the dryland ecosystem of Ethiopia

C. Atzberger, Worku Zewdie, Nurhussen Ahmed, 2021, Ecol. Informatics.

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

Clement Atzberger, Robert Oboko, Robert O. Oboko, 2019, ISPRS Int. J. Geo Inf..

SATELLITE-BASED DROUGHT MONITORING IN KENYA IN AN OPERATIONAL SETTING

Clement Atzberger, Anja Klisch, C. Atzberger, 2015 .

Comparative analysis of different retrieval methods for mapping grassland leaf area index using airborne imaging spectroscopy

M. Schlerf, G. Maire, C. Atzberger, 2015, Int. J. Appl. Earth Obs. Geoinformation.

Towards red - edge positions less sensitive to canopy biophysical parameters using PROSPECT - SAILH simulated data

M. Cho, A. Skidmore, C. Atzberger, 2006 .

An Integration of Deep Learning and Transfer Learning for Earthquake-Risk Assessment in the Eurasian Region

B. Pradhan, C. Atzberger, R. Al-Ruzouq, 2023, Remote. Sens..

The fourth phase of the radiative transfer model intercomparison (RAMI) exercise: Actual canopy scenarios and conformity testing

Philip Lewis, M. Rautiainen, M. Mõttus, 2015 .

Fresh Biomass Estimation in Heterogeneous Grassland Using Hyperspectral Measurements and Multivariate Statistical Analysis

A. Skidmore, M. Schlerf, C. Atzberger, 2014 .