Dr. Maximilian Lange 

Academic Staff

Remote Sensing Group
Department Comput. Landscape Ecology

Helmholtz Centre for Environmental Research - UFZ
Permoserstraße 15
04318 Leipzig
Phone +49 341 235 1968
Fax +49 341 235 1939


Maximilian Lange

Research interests

  • Derivation of vegetation dynamics, land-use and land-use intensity with remote sensing and modelling techniques
  • Operation of ground-based automated multi- and hyperspectral sensor systems for satellite product validation
  • Organisation of big data: remote sensing datasets
  • Software maintaince: phenex and phenmod

Curriculum Vitae

2007 - 2012

Studies of Information Technologies at HTWK Leipzig, Germany, Degree: Bachelor and Master of Science

2010 - 2011

Department of Computational Landscape Ecology, Helmholtz-Centre for Environmental Research - UFZ, Leipzig: Research Assistant

2012 - 2015

UFZ Leipzig, Ph.D., Project: BMWi program ‚Vorbereitung der wissenschaftlichen und kommerziellen Nutzung der Sentinel-Missionen und nationalen Missionen‘: ‘Validierung von Sentinel-Produkten auf Basis kontinuierlicher spektraler und Eddy- Flux-Messungen’

2016 - 2018

UFZ Leipzig, Ph.D., Project: EU 'Ecopotential' ('Horizon 2020'). 'Derivation of bio-physical variables from remotely sensed imagery' (2015-2018)

since 2019

UFZ Leipzig, Academic Staff


Lange M, Schaber J, Marx A, Jäckel G, Badeck FW, Seppelt R, Doktor D (2016) Simulation of forest tree species’ bud burst dates for different climate scenarios: chilling requirements and photo-period may limit bud burst advancement. International Journal of Biometeorology 60(11):1711-1726, doi:10.1007/s00484-016-1161-8

Lange M, Dechant B, Rebmann C, Vohland M, Cuntz M, Doktor D (2017) Validating MODIS and Sentinel-2 NDVI Products at a Temperate Deciduous Forest Site Using Two Independent Ground-Based Sensors. Sensors 17(8):1855, doi:10.3390/s17081855

Padró J-C, Pons X, Aragonés D, Díaz-Delgado R, García D, Bustamante J, Pesquer L, Domingo-Marimon C, González-Guerrero Ò, Cristóbal J, Doktor D, Lange M (2017) Radiometric Correction of Simultaneously Acquired Landsat-7/Landsat-8 and Sentinel-2A Imagery Using Pseudoinvariant Areas (PIA): Contributing to the Landsat Time Series Legacy. Remote Sensing 2017, 9(12):1319; doi:10.3390/rs9121319