Kai Heckel

Kai Heckel
Kai Heckel
Raum 221
Grietgasse 6
07743 Jena
Curriculum Vitae Inhalt einblenden
  • Since 2019
    Remote Sensing Analyst at EOS Jena
  • Since 2016
    PhD at IMPRS-gBGC and FSU Jena

    Dissertation Title: 'Spatio-temporal consistency evaluation of land surface products in the Copernicus era'
  • 2013-2016
    Master of Science Geoinformatics at the Department for Earth Observation (FSU Jena)

    Thesis Title: 'Analysis of a long-term Time Series of 1 km NDVI Data derived from AVHRR over Europe and North Africa - Impact of Sensor Correction' (conducted at DLR Oberpfaffenhofen)
Research Interests Inhalt einblenden
  • Multi-temporal and -sensor remote sensing data fusion
  • Derivation of global carbon modelling relevant parameters (forest extent, above-ground biomass, plant vitality indices)
  • Application of machine-learning algorithms for pattern detection
  • Forest and savannah ecosystems
  • Height estimation using high-resolution airborne imagery
Projects Inhalt einblenden

Current projects

Completed projects

  • GlobBiomass (2015 - 2017)
  • BACI - Detecting changes in essential ecosystem and biodiversity properties - towards a "Biosphere Atmosphere Change Index" (2015 – 2019)
Publications Inhalt einblenden
  • Publications (peer-reviewed)


URBAN, M., HECKEL, K., BERGER, C., SCHRATZ, P., SMIT, I.P.J., STRYDOM, T., BAADE, J. & C. SCHMULLIUS  (2020): Woody cover mapping in the savanna ecosystem of the Kruger National Park using Sentinel-1 C-Band time series data, Koedoe 62(1), a1621, doi:10.4102/koedoe.v62i1.1621.

HECKEL, K., URBAN, M., SCHRATZ, P., MAHECHA, M. & C. SCHMULLIUS (2020): Predicting Forest Cover in Distinct Ecosystems: The Potential of Multi-Source Sentinel-1 and -2 Data Fusion, Advances in Remote Sensing for Global Forest Monitoring 12(2), doi:10.3390/rs12020302.


URBAN, M., BERGER, C., MUDAU, T., HECKEL, K., TRUCKENBRODT, J., ODIPO, V., SMIT, I. & C. SCHMULLIUS (2018): Surface Moisture and Vegetation Cover Analysis for Drought Monitoring in the Southern Kruger National Park Using Sentinel-1, Sentinel-2, and Landsat-8, Remote Sensing 10(9), doi: 10.3390/rs10091482.

  • Conference contributions


HECKEL, K., URBAN, M., SCHRATZ, P., MAHECHA, M. & C. SCHMULLIUS (2018): Sentinel-1 and -2 Data for optimized Forest Cover Detection in varying ecosystems: Investigation of effects sensor fusion and the impact of spatial autocorrelation, Washington D.C., 01-05 October 2018.


HECKEL, K., URBAN, M., SCHRATZ, P., MAHECHA, M. & C. SCHMULLIUS (2017): Sentinel-1 and -2 for optimized forest cover detection in European temperate forests and South African savanna. -37th International Symposium on Remote Sensing of Environment, Pretoria, 8-12 May 2017.

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