Publications

Multidecadal grassland fractional cover time series retrieval for Germany from the Landsat and Sentinel-2 archives

A. Okujeni, K. Kowalski, K. E. Lewińska, S. Schneidereit, P. Hostert

Mapping forest fire severity using bi-temporal unmixing of Sentinel-2 data - Towards a quantitative understanding of fire impacts

K. A. Pfoch, D. Pflugmacher, A. Okujeni, P. Hostert

EnMAP-Box: Imaging spectroscopy in QGIS

B. Jakimow, A. Janz, F. Thiel, A. Okujeni, P. Hostert, S. van der Linden

A generalized framework for drought monitoring across Central European grassland gradients with Sentinel-2 time series

K. Kowalski, A. Okujeni, P. Hostert

Sub-pixel building area mapping based on synthetic training data and regression-based unmixing using Sentinel-1 and -2 data

F. Schug, D. Frantz, A. Okujeni, P. Hostert

Quantifying post-fire shifts in woody-vegetation cover composition in Mediterranean pine forests using Landsat time series and regression-based unmixing

A. Viana-Soto, A. Okujeni, D. Pflugmacher, M. García, I. Aguado, P. Hostert

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

Use of Image Endmember Libraries for Multi-Sensor, Multi-Scale, and Multi-Site Mapping of Urban Areas

F. Canters, S. Cooper, J. Degerickx, U. Heiden, M. Jilge, A. Okujeni, F. Priem, B. Somers, S. van der Linden

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, P. Hostert

Multi-season unmixing of vegetation class fractions across diverse Californian ecoregions using simulated spaceborne imaging spectroscopy data

A. Okujeni, C. Jänicke, S. Cooper, D. Frantz, P. Hostert, M. Clark, K. Segl, S. van der Linden

Combining simulated hyperspectral EnMAP and Landsat time series for forest aboveground biomass mapping

S. Cooper, A. Okujeni, D. Pflugmacher, S. van der Linden, P. Hostert

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

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

Brightness gradient-corrected hyperspectral image mosaics for fractional vegetation cover mapping in northern California

C. Jänicke, A. Okujeni, S. Cooper, M. Clark, P. Hostert, S. van der Linden

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

Imaging Spectroscopy of Urban Environments

S. van der Linden, A. Okujeni, F. Canters, J. Degerickx, U. Heiden, P. Hostert, F. Priem, B. Somers, F. Thiel

Comparing map-based and library-based training approaches for urban land-cover fraction mapping from Sentinel-2 imagery

F. Priem, A Okujeni, S. van der Linden, F. Canters

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, J. Ø. Nielsen, S. van der Linden

Generalizing machine learning regression models using multi-site spectral libraries for mapping vegetation-impervious-soil fractions across multiple cities

A. Okujeni, F. Canters, S. Cooper, J. Degerickx, U. Heiden, P. Hostert, F. Priem, D. A. Roberts, B. Somers, S. van der Linden

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, P. J. Leitão, M. Schwieder, P. Hostert

6.07 - Remote Sensing of Urban Environments A2 - Liang, Shunlin

C. Small, A. Okujeni, S. van der Linden, B. Waske

Subpixel Mapping of Urban Areas Using EnMAP Data and Multioutput Support Vector Regression

J. Rosentreter, R. Hagensieker, A. Okujeni, R. Roscher, P. D. Wagner, B. Waske

Influence of neighbourhood information on ‘Local Climate Zone’ mapping in heterogeneous cities

M.-L. Verdonck, A. Okujeni, S. van der Linden, M. Demuzere, R. De Wulf, F. Van Coillie

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

A Novel Spectral Library Pruning Technique for Spectral Unmixing of Urban Land Cover

J. Degerickx, A Okujeni, M.-D. Iordache, M. Hermy, S. van der Linden, B. Somers

Quantifying urban land cover by means of machine learning and imaging spectrometer data at multiple spatial scales.

A. Okujeni

Using Class Probabilities to Map Gradual Transitions in Shrub Vegetation from Simulated EnMAP Data

S. Suess, S. van der Linden, A. Okujeni, P. Leitão, M. Schwieder, P. Hostert

The EnMAP-Box—A Toolbox and Application Programming Interface for EnMAP Data Processing

S. van der Linden, A. Rabe, M. Held, B. Jakimow, P. Leitão, A. Okujeni, M. Schwieder, S. Suess, P. Hostert

Monitoring Natural Ecosystem and Ecological Gradients: Perspectives with EnMAP

P. Leitão, M. Schwieder, S. Suess, A. Okujeni, L. Galvão, S. van der Linden, P. Hostert

Extending the vegetation–impervious–soil model using simulated EnMAP data and machine learning

A. Okujeni, S. van der Linden, P. Hostert

Import Vector Machines for Quantitative Analysis of Hyperspectral Data

S. Suess, S. van der Linden, P. J. Leitão, A. Okujeni, B. Waske, P. Hostert

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

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

Sensing of photosynthetic activity of crops

U. Rascher, A. Damm, S. van der Linden, A. Okujeni, R. Pieruschka, A. Schickling, P. Hostert

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, A. Damm, F. Daumard, E. de Miguel, G. Fernandez, B. Franch, J. Franke, C. Gerbig, B. Gioli, J. A. Gómez, Y. Goulas, L. Guanter, Ó Gutiérrez-de-la-Cámara, K. Hamdi, P. Hostert, M. Jiménez, M. Kosvancova, D. Lognoli, M. Meroni, F. Miglietta, A. Moersch, J. Moreno, I. Moya, B. Neininger, A. Okujeni, A. Ounis, L. Palombi, V. Raimondi, A. Schickling, J. A. Sobrino, M. Stellmes, G. Toci, P. Toscano, T. Udelhoven, S. van der Linden, A. Zaldei