World's Best Scientists 2026 revealed!
Clement Atzberger

Clement Atzberger

D-Index & Metrics

Environmental Sciences

D-Index
64
Citations
17957
World Ranking
2289
National Ranking
21

Overview

Clement Atzberger is affiliated with BOKU University in Austria and has a research focus primarily within the field of Environmental Science. Their scholarly output spans various subfields including Ecology, Environmental Engineering, Global and Planetary Change, Plant Science, and Ecological Modeling.

The main topics covered in Atzberger's work are diverse and concentrated around remote sensing technologies and their applications. Key topic areas include:

  • Remote Sensing in Agriculture
  • Remote Sensing and LiDAR Applications
  • Land Use and Ecosystem Services
  • Species Distribution and Climate Change
  • Remote Sensing and Land Use
  • Smart Agriculture and AI
  • Wildlife Ecology and Conservation

Atzberger frequently publishes in several established venues, reflecting the breadth of their research. Notable journals include:

  • Remote Sensing
  • SSRN Electronic Journal
  • Remote Sensing of Environment
  • arXiv (Cornell University)
  • Agricultural and Forest Meteorology

The scientist's recent papers demonstrate a focus on remote sensing applications for agriculture and environmental monitoring. Selected recent publications are:

  • "Multi-sensor spectral synergies for crop stress detection and monitoring in the optical domain: A review" (2022, Remote Sensing of Environment)
  • "Understanding deep learning in land use classification based on Sentinel-2 time series" (2020, Scientific Reports)
  • "Remote Sensing Applications in Sugarcane Cultivation: A Review" (2021, Remote Sensing)
  • "Combining multi-indicators with machine-learning algorithms for maize yield early prediction at the county-level in China" (2022, Agricultural and Forest Meteorology)
  • "Species Distribution Modelling performance and its implication for Sentinel-2-based prediction of invasive Prosopis juliflora in lower Awash River basin, Ethiopia" (2021, Ecological Processes)

Collaboration is a notable aspect of Atzberger's work. Frequent co-authors include:

  • Markus Immitzer
  • Francesco Vuolo
  • Aleksandar Dujakovic
  • Jochem Verrelst
  • Andreas Schaumberger

Best Publications

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

    Pieter S.A. Beck;Clement Atzberger;Kjell Arild Høgda;Bernt Johansen

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

    Clement Atzberger

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

    Markus Immitzer;Francesco Vuolo;Clement Atzberger

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

    Markus Immitzer;Clement Atzberger;Tatjana Koukal

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

    Roshanak Darvishzadeh;Andrew Skidmore;Martin Schlerf;Clement Atzberger

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

    Peter M. Atkinson;C. Jeganathan;Jadu Dash;Clement Atzberger

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

    Jamshid Farifteh;F Van der Meer;C Atzberger;E. J. M Carranza

  • LAI and chlorophyll estimation for a heterogeneous grassland using hyperspectral measurements

    Roshanak Darvishzadeh;Andrew Skidmore;Martin Schlerf;Clement Atzberger

  • Remote sensing of forest biophysical variables using HyMap imaging spectrometer data

    Martin Schlerf;Clement Atzberger;Joachim Hill

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

    Martin Schlerf;Clement Atzberger

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

    Clement Atzberger

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

    Felix Rembold;Clement Atzberger;Igor V. Savin;Oscar Rojas

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

    Francesco Vuolo;Martin Neuwirth;Markus Immitzer;Clement Atzberger

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

    Matheus Alves Vieira;Antonio Roberto Formaggio;Camilo Daleles Rennó;Clement Atzberger

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

    Katja Berger;Clement Atzberger;Martin Danner;Guido D'Urso

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

    Clement Atzberger;Martine Guérif;Frédéric Baret;Willy Werner

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

    Unknown

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

    Roshanak Darvishzadeh;Clement Atzberger;Andrew Skidmore;Martin Schlerf

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

    Jean Luc Widlowski;Corrado Mio;Mathias Disney;Jennifer Adams

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

    Markus Immitzer;Martin Neuwirth;Sebastian Böck;Harald Brenner

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

    Roshanak Darvishzadeh;Andrew K. Skidmore;Clement Atzberger;Sipke E. van Wieren

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

    Clement Atzberger;Katja Richter

Frequent Co-Authors

Martin Schlerf
Martin Schlerf Luxembourg Institute of Science and Technology
Andrew K. Skidmore
Andrew K. Skidmore University of Twente
Roshanak Darvishzadeh
Roshanak Darvishzadeh University of Twente
Michele Meroni
Michele Meroni University of Milano-Bicocca
Joachim Hill
Joachim Hill University of Trier
Wolfram Mauser
Wolfram Mauser Ludwig-Maximilians-Universität München
Mathias Disney
Mathias Disney University College London
Klaus Butterbach-Bahl
Klaus Butterbach-Bahl Karlsruhe Institute of Technology
Frédéric Baret
Frédéric Baret INRAE : Institut national de recherche pour l'agriculture, l'alimentation et l'environnement
Nadine Gobron
Nadine Gobron European Commission Joint Research Centre

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