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Akpona Okujeni
Akpona Okujeni
Humboldt-Universität zu Berlin, Geography Department, Geomatics Lab
Verified email at geo.hu-berlin.de
Title
Cited by
Cited by
Year
The EnMAP-Box—A toolbox and application programming interface for EnMAP data processing
S van der Linden, A Rabe, M Held, B Jakimow, PJ Leitão, A Okujeni, ...
Remote Sensing 7 (9), 11249-11266, 2015
2412015
CEFLES2: the remote sensing component to quantify photosynthetic efficiency from the leaf to the region by measuring sun-induced fluorescence in the oxygen absorption bands
U Rascher, G Agati, L Alonso, G Cecchi, S Champagne, R Colombo, ...
Biogeosciences 6 (7), 1181-1198, 2009
1762009
Support vector regression and synthetically mixed training data for quantifying urban land cover
A Okujeni, S van der Linden, L Tits, B Somers, P Hostert
Remote Sensing of Environment 137, 184-197, 2013
1572013
National-scale mapping of building height using Sentinel-1 and Sentinel-2 time series
D Frantz, F Schug, A Okujeni, C Navacchi, W Wagner, S van der Linden, ...
Remote Sensing of Environment 252, 112128, 2021
1202021
Influence of neighbourhood information on ‘Local Climate Zone’mapping in heterogeneous cities
ML Verdonck, A Okujeni, S van der Linden, M Demuzere, R De Wulf, ...
International Journal of Applied Earth Observation and Geoinformation 62 …, 2017
1002017
Extending the vegetation–impervious–soil model using simulated EnMAP data and machine learning
A Okujeni, S van der Linden, P Hostert
Remote Sensing of Environment 158, 69-80, 2015
802015
Mapping patterns of urban development in Ouagadougou, Burkina Faso, using machine learning regression modeling with bi-seasonal Landsat time series
F Schug, A Okujeni, J Hauer, P Hostert, JØ Nielsen, S van der Linden
Remote Sensing of Environment 210, 217-228, 2018
742018
Mapping urban-rural gradients of settlements and vegetation at national scale using Sentinel-2 spectral-temporal metrics and regression-based unmixing with synthetic training data
F Schug, D Frantz, A Okujeni, S van der Linden, P Hostert
Remote Sensing of Environment 246, 111810, 2020
622020
Ensemble Learning From Synthetically Mixed Training Data for Quantifying Urban Land Cover With Support Vector Regression
A Okujeni, S van der Linden, S Suess, P Hostert
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2017
522017
Characterizing 32 years of shrub cover dynamics in southern Portugal using annual Landsat composites and machine learning regression modeling
S Suess, S van der Linden, A Okujeni, P Griffiths, PJ Leitão, M Schwieder, ...
Remote Sensing of Environment 219, 353-364, 2018
472018
Generalizing machine learning regression models using multi-site spectral libraries for mapping vegetation-impervious-soil fractions across multiple cities
A Okujeni, F Canters, SD Cooper, J Degerickx, U Heiden, P Hostert, ...
Remote Sensing of Environment 216, 482-496, 2018
432018
Imaging Spectroscopy of Urban Environments
S van der Linden, A Okujeni, F Canters, J Degerickx, U Heiden, P Hostert, ...
Surveys in Geophysics, 1-18, 2018
432018
A generalized regression-based unmixing model for mapping forest cover fractions throughout three decades of Landsat data
C Senf, J Laštovička, A Okujeni, M Heurich, S van der Linden
Remote Sensing of Environment 240, 111691, 2020
422020
A comparison of advanced regression algorithms for quantifying urban land cover
A Okujeni, S Van der Linden, B Jakimow, A Rabe, J Verrelst, P Hostert
Remote Sensing 6 (7), 6324-6346, 2014
422014
A Novel Spectral Library Pruning Technique for Spectral Unmixing of Urban Land Cover
J Degerickx, A Okujeni, MD Iordache, M Hermy, S van der Linden, ...
Remote Sensing 9 (6), 565, 2017
412017
Quantifying drought effects in Central European grasslands through regression-based unmixing of intra-annual Sentinel-2 time series
K Kowalski, A Okujeni, M Brell, P Hostert
Remote Sensing of Environment 268, 112781, 2022
352022
Berlin-Urban-Gradient dataset 2009-An EnMAP Preparatory Flight Campaign (Datasets)
A Okujeni, S Van Der Linden, P Hostert
GFZ Data Services, 2016
312016
Monitoring natural ecosystem and ecological gradients: Perspectives with EnMAP
PJ Leitão, M Schwieder, S Suess, A Okujeni, LS Galvão, S Linden, ...
Remote Sensing 7 (10), 13098-13119, 2015
312015
Disentangling fractional vegetation cover: Regression-based unmixing of simulated spaceborne imaging spectroscopy data
S Cooper, A Okujeni, C Jänicke, M Clark, S van der Linden, P Hostert
Remote Sensing of Environment 246, 111856, 2020
282020
Subpixel Mapping of Urban Areas Using EnMAP Data and Multioutput Support Vector Regression
J Rosentreter, R Hagensieker, A Okujeni, R Roscher, PD Wagner, ...
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2017
282017
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