Prof. Dr. Matthias Forkel

© TUD

Professor

Name

Prof. Dr. Matthias Forkel

Umweltfernerkundung, ERASMUS-Koordinator Geowissenschaften

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01069 Dresden

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08:15 - 09:00

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08:15 - 09:00

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Eine Anmeldung zu den Sprechzeiten ist ausdrücklich nicht notwendig. Alternativ sprechen Sie mich vor oder nach den Vorlesungen an. Die Sprechstunde fällt aus am: 08.+09.10., 05.11., 20.11.2025

http://www.m-forkel.de/

Research interests

Matthias is an environmental scientist and holds the professorship for environmental remote sensing at TU Dresden. His main research interest is the development and application of optical and microwave satellite observations and related methods to observe, quantify and model changes in land ecosystems and vegetation, understand their underlying processes, and the related feedbacks in the global carbon cycle and the Earth system. 

Linking Vegetation Dynamics, Disturbance, and Water–Carbon Interactions from Space

Matthias Forkel’s research focuses on understanding terrestrial ecosystem dynamics, disturbance regimes, and climate sensitivities through the integration of satellite Earth observation, data-driven analysis, and dynamic vegetation modelling. His work advances knowledge of how climate variability, extreme events, and human activities regulate vegetation productivity, carbon and water cycling, and ecosystem resilience. He has contributed substantially to conceptual and methodological developments in large-scale vegetation phenology, biosphere–atmosphere feedbacks, and climate-driven ecosystem change by combining multi-sensor satellite data with process-based and statistical modelling frameworks (e.g. Carvalhais et al. 2014; Forkel et al. 2014, 2015, 2016, 2019c, 2025; Buermann et al. 2018; Li et al. 2022, 2024).

A central pillar of Forkel’s profile is the development and application of remote sensing for fire science and management, including quantification of global fire dynamics, reconstruction of long-term burned area, and identification of climatic and anthropogenic controls on wildfire activity (Forkel et al. 2012; Forkel et al. 2017, 2019a, 2019b, 2025). His research addresses satellite-based indicators relevant for forest fuel conditions, fire behaviour and fire severity in temperate forests (Beetz et al. 2024, Forkel et al. 2023, Kranz et al. 2025). This line of research culminates in the approach described in Forkel et al. (2025), which provides new large-scale datasets and quantifications on how vegetation biomass and moisture modulate wildfire emissions in the Amazon. More recently, he has contributed to wildfire risk assessments that integrate biophysical and socioeconomic vulnerability dimensions to inform climate-sensitive  adaptation strategies (Avouris et al. 2025; Almeida et al. 2024).

A second major research direction advances the use of microwave remote sensing to characterize vegetation water status, canopy structure, and ecosystem-scale drought responses. This work aims to bridge physiological water limitation, forest structure, and fire-relevant fuel moisture processes by linking passive and active microwave observations with modelling and field evidence. Forkel’s recent studies demonstrate the feasibility of retrieving global leaf-level moisture indicators from microwave signals (Forkel et al. 2023) and combine microwave remote sensing with lidar to quantify changes in canopy vertical profiles, biomass allocation, and drought-disturbance vulnerability (Liu et al. 2024a, 2025, 2024b). Earlier contributions to large-scale vegetation moisture and productivity datasets (Moesinger et al. 2020; Teubner et al. 2018, 2019, 2021) provide foundational methodological components supporting this line of research.

Overall, Matthias Forkel’s research integrates remote sensing innovation with ecosystem science to improve our understanding of climate-sensitive ecological processes and their management relevance.

Curriculum vitae

Professional research experience

• since 09/2025 | TU Dresden, Dresden, Germany | Professor for Environmental Remote Sensing
• 09/2019 - 08/2025 | TU Dresden, Dresden, Germany | Junior-Professor for Environmental Remote Sensing, additionally since 09/2023 extra-ordinary (APL) professor, Faculty for Environmental Sciences
• 01/2016 - 08/2019 | TU Wien, Vienna, Austria | PostDoc at the Department of Geodesy and Geoinformation, Climate and Environmental Remote Sensing Group
• 01/2015 - 12/2015 | Max Planck Institute for Biogeochemistry, Jena, Germany | PostDoc at the Department of Biogeochemical Integration
• 01/2011 - 12/2014 | Max Planck Institute for Biogeochemistry, Jena, Germany | PhD candidate at the Department of Biogeochemical Integration
• 2009 - 2010 | Friedrich Schiller University, Jena, Germany | Scientific assistant at the Department for Earth Observation

Education

• 2015 | PhD (Dr. rer. nat.) | Friedrich Schiller University, Jena, Germany | Thesis: Controls on Global Greening, Phenology, and the Enhanced Seasonal CO₂ Amplitude – Integrating Decadal Satellite Observations and Global Ecosystem Models
• 2008 - 2010 | M.Sc. | Friedrich Schiller University, Jena, Germany | Master degree in Geoinformatics        
• 2005 - 2008 | B.Sc. | Friedrich Schiller University, Jena, Germany | Bachelor degree in Geography

Memberships and commission of trust

• Academic coordinator of the Bachelor study programme in Environmental Informatics, TU Dresden
• Coordinator for the ERASMUS+ programme at the Department of Geosciences, TU Dresden ERASMUS Website
• Member of the Doctoral Board of the Faculty of Environmental Sciences, TU Dresden
• Vice-chair of the Transboundary Scientific Board of the National Parks Saxon Switzerland (Germany) and Bohemian Switzerland (Czechia)
• Member of the German Society for Photogrammetry, Remote Sensing and Geoinformation (DGPF)
• Member of the European Geosciences Union

Project and funding (at TUD)

• 10/2025 - 08/2027 | EO4Nature Soil Moisture (LUP/DLR): Erstellung eines Monitoringdienstes zur Erfassung und Modellierung der Bodenfeuchte (Role: co-investigator)

• 10/2025 - 09/2028 | THRAC3E (ESA): Terrestrial High Resolution Assessment of the Carbon Cycle and its Coordination in Europe (Role: co-investigator)

• 10/2025 - 09/2028 | DE.CalVal (DLR):  Coordinated German Contribution to the

  BIOMASS Cal/Val Activities (Role: co-investigator)

• 06/2024 - 05/2027 | Wildfire CE (Interreg Central Europe): Enabling cross-boundary assessment, communication and management of wildfire risks in Central Europe (Role: Technical and science lead)

• 07/2023 - 06/2025 | 3C Copernicus Cross Compliance (DLR): Monitoring von Cross Compliance Verpflichtungen in der Agrarförderung (Role: co-investigator)
• 08/2021 - 12/2026 | Sense4Fire (ESA) (link) Sentinel-based fuel, fire and emission products to constrain the changing role of vegetation fires in the global carbon cycle link (Role: Principle investigator)
• 2022 - 2024 | PhenoFeedBacks (DFG): Biophysical impacts and feedbacks of plant phenological changes (Role: Principle investigator)
• 04/2022 - 02/2023 | NFDI4Earth MDI (DFG): NFDI pilot for seamless Earth system model-data integration 
• 01/2022 - 12/2024 | Recovery (DFG): Recent changes in northern vegetation carbon cycling (Role: co-investigator)
• 04/2021 - 03/2025 | FirEUrisk (EU H2020) (link): Developing a holistic, risk-wise strategy for European wildfire management (Role: co-investigator)
• 04/2021 - 05/2022 | Corona (LfULG): Mapping land cover in Saxony 1964-1984 (Role: Principle investigator)

Awards and scholarship

• 2018 | Best Paper Award by the Faculty of Mathematics and Geoinformation of TU Wien | Awarded paper: Forkel et al. 2017 GMD
• 2016 - 2018 | Living Planet Fellowship by the European Space Agency
• 2016 | Beutenberg Campus Science Award, Jena, Germany | Best PhD thesis in Life Sciences and Physics in 2015

Publications

Matthias' publications (ORCID) gained between 5229-8702 citations resulting in an h-index of 34-38 (October 2025, range of publication statistics from GoogleScholar, Scopus, Web of Science, ResearchGate)

Personal key publications

Number of citations from GoogleScholar (2025-10-13).

Forkel, M., Wessollek, C., Huijnen, V., Andela, N., de Laat, A., Kinalczyk, D., Marrs, C., van Wees, D., Bastos, A., Ciais, P., Fawcett, D., Kaiser, J.W., Klauberg, C., Kutchartt, E., Leite, R., Li, W., Silva, C., Sitch, S., Goncalves De Souza, J., Zaehle, S., and Plummer, S. (2025).
Burning of woody debris dominates fire emissions in the Amazon and Cerrado.
Nature Geoscience, 18, 140–147, https://doi.org/10.1038/s41561-024-01637-5 Citations: 5 

Forkel, M., Schmidt, L., Zotta, R.-M., Dorigo, W., and Yebra, M. (2023).
Estimating leaf moisture content at global scale from passive microwave satellite observations of vegetation optical depth
Hydrology and Earth System Sciences, 27, 39–68, https://doi.org/10.5194/hess-27-39-2023 Citations: 43

Forkel, M., Andela, N., Harrison, S.P., Lasslop, G., Marle, M. van, Chuvieco, E., Dorigo, W., Forrest, M., Hantson, S., Heil, A., Li, F., Melton, J., Sitch, S., Yue, C., Arneth, A. (2019).
Emergent relationships with respect to burned area in global satellite observations and fire-enabled vegetation models.
Biogeosciences 16, 57–76. https://doi.org/10.5194/bg-16-57-2019 Citations: 159

Forkel, M., Carvalhais, N., Rödenbeck, C., Keeling, R., Heimann, M., Thonicke, K., Zaehle, S., Reichstein, M. (2016).
Enhanced seasonal CO2 exchange caused by amplified plant productivity in northern ecosystems.
Science, doi:10.1126/science.aac4971. Citations: 497

Forkel, M., Carvalhais, N., Verbesselt, J., Mahecha, M. D., Neigh, C. S., Reichstein, M. (2013).
Trend change detection in NDVI time series: Effects of inter-annual variability and methodology.
Remote Sensing, 5(5), 2113-2144. doi:10.3390/rs5052113. Citations: 618

All publications

Publications are ordered chronological.

Pre-prints / in open discussion

Avouris, E., Marrs, C., Beetz, K., Kudláčková, L., Poděbradská, M., Trnka, M., and Forkel, M. (2025).
Exposure of Settlements to Wildfires in a Transboundary Wildland-Urban-Interface Region in Central Europe
EGUsphere 1–43. https://doi.org/10.5194/egusphere-2025-4859

de Laat, A. T. J., Andela, N., Forkel, M., Huijnen, V., Kinalzcyzk, D., and van Wees, D. (2025).
Sentinel-5p reveals unexplained large wildfire carbon emissions in the Amazon in 2024
ESS Open Archive, https://doi.org/10.22541/essoar.173869416.69575859/v1

de Laat, A., Huijnen, V., Andela, N., and Forkel, M. (2024).
Assessment of satellite observation-based wildfire emissions inventories using TROPOMI data and IFS-COMPO model simulations
EGUsphere, 1–81, https://doi.org/10.5194/egusphere-2024-732

2026

(69) Moudrý, V., Remelgado, R., Forkel, M., Torresani, M., Laurin, G.V., Šárovcová, E., Garcia Millan, V.E., Fischer, F.J., Jucker, T., Gallay, M., Kacic, P., Hakkenberg, C.R., Kokalj, Ž., Stereńczak, K., Erfanifard, Y., Rocchini, D., Prošek, J., Roilo, S., Gdulová, K., Cord, A.F., Perrone, M., Molina-Valero, J.A., Šmída, J., Surový, P., Melichová, Z., Malavasi, M., Urban, R., Štroner, M., Seidel, D., Szabó, S., Bertalan, L., Eltner, A., Cazzolla Gatti, R., Kaňuk, J., Barták, V., Franke, D., Brede, B., Song, Q., Urbazaev, M., Kissling, W.D. (2026).
Spaceborne Canopy Height Products Should Be Complemented With Airborne Laser Scanning Data: Toward a European Canopy Height Model
Earth and Space Science 13, e2025EA004544. https://doi.org/10.1029/2025EA004544

2025

(68) Pyarali, K., Zhang, L., Forkel, M. (2025).
Assessment of Selected Climate Indicators Across the Elbe River Basin to Analyse Changes in Climate Extremes and their Effects
Earth Systems and Environment, https://doi.org/10.1007/s41748-025-00855-0.

(67) Liu, X., Moudrý, V., Schuldt, B., and Forkel, M. (2025).
GEDI reveals decline in overstorey and increase in understorey canopy cover of protected forests in Central Europe since 2019
Forest Ecology and Management, 597, 123155, https://doi.org/10.1016/j.foreco.2025.123155.

(66) Kranz, J., Bauer, K., Pampanoni, V., Zhao, L., Marrs, C., Mauder, M., Poděbradská, M., van der Maaten-Theunissen, M., Yebra, M., and Forkel, M. (2025).
Assessing predictors for fuel moisture content in Central European forests.
Agricultural and Forest Meteorology, 371, 110590, https://doi.org/10.1016/j.agrformet.2025.110590

(65) Lee, H., Jung, M., Carvalhais, N., Reichstein, M., Forkel, M., Bloom, A. A., Pacheco-Labrador, J., and Koirala, S. (2025).
Spatial Attribution of Temporal Variability in Global Land-Atmosphere CO2 Exchange Using a Model-Data Integration Framework.
Journal of Advances in Modeling Earth Systems, 17, e2024MS004479, https://doi.org/10.1029/2024MS004479

(64) Forkel, M., Wessollek, C., Huijnen, V., Andela, N., de Laat, A., Kinalczyk, D., Marrs, C., van Wees, D., Bastos, A., Ciais, P., Fawcett, D., Kaiser, J.W., Klauberg, C., Kutchartt, E., Leite, R., Li, W., Silva, C., Sitch, S., Goncalves De Souza, J., Zaehle, S., and Plummer, S. (2025).
Burning of woody debris dominates fire emissions in the Amazon and Cerrado.
Nature Geoscience, 18, 140–147, https://doi.org/10.1038/s41561-024-01637-5

(63) Drechsel, J., and Forkel, M. (2025).
Remote sensing forest health assessment – a comprehensive literature review on a European level.
Central European Journal of Forest Research, 71, https://doi.org/10.2478/forj-2024-0022

2024

(62) Al-Qubati, A., Zhang, L., and Forkel, M. (2024).
Urban and peri-urban agriculture under climate change: A review on carbon emissions and sequestration
Sustainable Cities and Society, 115, 105830, https://doi.org/10.1016/j.scs.2024.105830

(61) Liu, X., Forkel, M., and Kranz, J. (2024).
Investigating the Association of Seasonal Dynamics in GEDI Canopy Cover Profiles and Sentinel-1 Backscatter in Temperate Forests
IEEE Geoscience and Remote Sensing Letters, 21, 1–5, https://doi.org/10.1109/LGRS.2024.3443525

(60) Almeida, M., Soviev, M., San-Miguel, J., Durrant, T., Oom, D., Branco, A., Ferrari, D., Boca, R., Maianti, P., De, R. D., Suarez-Moreno, M., Roglia, E., Scionti, N., Broglia, M., Alves, D., Matos, C., Ribeiro, L. M., Viegas, D. X., Ribeiro, C., Rodrigues, T., Chuvieco, E., Oliva, P., Garcia, M., Velea, R., Laterza, R., De, L. M., Lorenzoni, P., Arca, B., Salis, M., Bacciu, V., Del, G. L., Pelizzaro, G., Duce, P., Marrs, C., Forkel, M., Beetz, K., Kosczor, E., Podebradska, M., Politi, N., Sfetsos, A., Vlachogiannis, D., Eftychidis, G., Stavrakoudis, D., Varela, V., Gitas, I. Z., Sjostrom, J., Petrila, M., Lorent, A., Drobinkova, N., Vasilev, V., Tsvetkova, N., Yanko, B., Gospodinov, I., Zibtsev, S., Goldammer, J., Myroniuk, V., Sydorenko, S., Soshenskyi, O., Bogomolov, V., and Borsuk, O. (2024)
Report on the large wildfires of 2022 in Europe
Publications Office of the European Union, JRC138859, https://dx.doi.org/10.2760/19760

(59) Li, W., Duveiller, G., Wieneke, S., Forkel, M., Gentine, P., Reichstein, M., Niu, S., Migliavacca, M., and Orth, R. (2024).
Regulation of the global carbon and water cycles through vegetation structural and physiological dynamics
Environmental Research Letters, 19, 073008, https://doi.org/10.1088/1748-9326/ad5858

(58) Wang, S., Yang, H., Koirala, S., Forkel, M., Reichstein, M., and Carvalhais, N. (2024).
Understanding Disturbance Regimes From Patterns in Modeled Forest Biomass
Journal of Advances in Modeling Earth Systems, 16, e2023MS004099, https://doi.org/10.1029/2023MS004099

(57) Beetz, K., Marrs, C., Busse, A., Poděbradská, M., Kinalczyk, D., Kranz, J., and Forkel, M. (2024).
Effects of bark beetle disturbance and fuel types on fire radiative power and burn severity in the Bohemian-Saxon Switzerland
Forestry: An International Journal of Forest Research, cpae024, https://doi.org/10.1093/forestry/cpae024

(56) Liu, X., Neigh, C. S. R., Pardini, M., and Forkel, M. (2024).
Estimating forest height and above-ground biomass in tropical forests using P-band TomoSAR and GEDI observations
International Journal of Remote Sensing, 9, 45, 3129-3148, https://doi.org/10.1080/01431161.2024.2343134

2023

(55) Forkel, M. (2023).
Globale Trends und Einflussfaktoren von Waldbränden unter dem Klimawandel. Beitrag der Fernerkundung zu Feuergeographie und Waldbrandrisikobewertung
Geographische Rundschau 11-2023, 6-9.

(54) Kugler, L., Marrs, C., Kosczor, E., and Forkel, M. (2023).
Landbedeckung in Sachsen 1961-1979 (Teil 1). Erfassung von Veränderungen in der Landbedeckung in Sachsen 1961-1979: Analyse anhand historischer CORONA-Spionageaufnahmen und tiefer neuronaler Netze
Schriftenreihe des LfULG, 6/2023, 72, https://publikationen.sachsen.de/bdb/artikel/42436

(53) Panwar, A., Migliavacca, M., Nelson, J. A., Cortés, J., Bastos, A., Forkel, M., and Winkler, A. J. (2023).
Methodological challenges and new perspectives of shifting vegetation phenology in eddy covariance data
Scientific Reports, 13, 13885, https://doi.org/10.1038/s41598-023-41048-x

(52) Li, W., Pacheco-Labrador, J., Migliavacca, M., Miralles, D., Hoek van Dijke, A., Reichstein, M., Forkel, M., Zhang, W., Frankenberg, C., Panwar, A., Zhang, Q., Weber, U., Gentine, P., and Orth, R. (2023).
Widespread and complex drought effects on vegetation physiology inferred from space
Nature Communications, 14, 4640, https://doi.org/10.1038/s41467-023-40226-9

(51) Reiter, D., Meinel, G., and Forkel, M. (2023).
Evaluierung der Tatsächlichen Nutzung im ATKIS Basis-DLM mittels Digitaler Orthophotos und Deep Learning
ZfV - Zeitschrift für Geodäsie, Geoinformation und Landmanagement, https://doi.org/10.12902/zfv-0422-2023

(50) Stolz, J., Forkel, M., van der Maaten, E., Martin, J., and van der Maaten-Theunissen, M. (2023).
Through eagle eyes—the potential of satellite-derived LAI time series to estimate masting events and tree-ring width of European beech
Regional Environmental Change, 23, 74, https://doi.org/10.1007/s10113-023-02068-5

(49) Mukunga, T., Forkel, M., Forrest, M., Zotta, R.-M., Pande, N., Schlaffer, S., and Dorigo, W. (2023).
Effect of Socioeconomic Variables in Predicting Global Fire Ignition Occurrence
Fire, 6, 197, https://doi.org/10.3390/fire6050197

(48) Lee, H., Jung, M., Carvalhais, N., Trautmann, T., Kraft, B., Reichstein, M., Forkel, M., and Koirala, S. (2023).
Diagnosing modeling errors in global terrestrial water storage interannual variability
Hydrology and Earth System Sciences, 27, 1531–1563, https://doi.org/10.5194/hess-27-1531-2023

(47) Schmidt, L., Forkel, M., Zotta, R.-M., Scherrer, S., Dorigo, W. A., Kuhn-Régnier, A., van der Schalie, R., and Yebra, M. (2023).
Assessing the sensitivity of multi-frequency passive microwave vegetation optical depth to vegetation properties
Biogeosciences 20, 1027–1046, https://doi.org/10.5194/bg-20-1027-2023

(46) Forkel, M., Schmidt, L., Zotta, R.-M., Dorigo, W., and Yebra, M. (2023).
Estimating leaf moisture content at global scale from passive microwave satellite observations of vegetation optical depth
Hydrology and Earth System Sciences, 27, 39–68, https://doi.org/10.5194/hess-27-39-2023

2022

(45) Li, W., Migliavacca, M., Forkel, M., Denissen, J. M. C., Reichstein, M., Yang, H., Duveiller, G., Weber, U., and Orth, R. (2022).
Widespread increasing vegetation sensitivity to soil moisture.
Nature Communications, 13, 3959, https://doi.org/10.1038/s41467-022-31667-9

(44) Jones, M. W., Abatzoglou, J. T., Veraverbeke, S., Andela, N., Lasslop, G., Forkel, M., Smith, A. J. P., Burton, C., Betts, R. A., van der Werf, G. R., Sitch, S., Canadell, J. G., Santín, C., Kolden, C., Doerr, S. H., and Le Quéré, C. (2022).
Global and regional trends and drivers of fire under climate change.
Reviews of Geophysics, 60, e2020RG000726, https://doi.org/10.1029/2020RG000726

(43) Kosczor, E., Forkel, M., Hernández, J., Kinalczyk, D., Pirotti, F., and Kutchartt, E. (2022).
Assessing land surface phenology in Araucaria-Nothofagus forests in Chile with Landsat 8/Sentinel-2 time series.
International Journal of Applied Earth Observation and Geoinformation, 112, 102862, https://doi.org/10.1016/j.jag.2022.102862

(42) Wild, B., Teubner, I., Moesinger, L., Zotta, R.-M., Forkel, M., van der Schalie, R., Sitch, S., and Dorigo, W. (2022).
VODCA2GPP – a new, global, long-term (1988–2020) gross primary production dataset from microwave remote sensing.
Earth System Science Data, 14, 1063–1085, https://doi.org/10.5194/essd-14-1063-2022

2021

(41) Zhang, W., Wei, F., Horion, S., Fensholt, R., Forkel, M., and Brandt, M. (2021).
Global quantification of the bidirectional dependency between soil moisture and vegetation productivity.
Agricultural and Forest Meteorology, 108735, https://doi.org/10.1016/j.agrformet.2021.108735

(40) Harrison, S. P., Prentice, I. C., Bloomfield, K. J., Dong, N., Forkel, M., Forrest, M., Ningthoujam, R. K., Pellegrini, A., Shen, Y., Baudena, M., Cardoso, A. W., Huss, J. C., Joshi, J., Oliveras, I., Pausas, J. G., and Simpson, K. J. (2021).
Understanding and modelling wildfire regimes: an ecological perspective.
Environmental Research Letters, https://doi.org/10.1088/1748-9326/ac39be

(39) Migliavacca, M., Musavi, T., Mahecha, M. D., Nelson, J. A., Knauer, J., Baldocchi, D. D., Perez-Priego, O., Christiansen, R., Peters, J., Anderson, K., Bahn, M., Black, T. A., Blanken, P. D., Bonal, D., Buchmann, N., Caldararu, S., Carrara, A., Carvalhais, N., Cescatti, A., Chen, J., Cleverly, J., Cremonese, E., Desai, A. R., El-Madany, T. S., Farella, M. M., Fernández-Martínez, M., Filippa, G., Forkel, M., Galvagno, M., Gomarasca, U., Gough, C. M., Göckede, M., Ibrom, A., Ikawa, H., Janssens, I. A., Jung, M., Kattge, J., Keenan, T. F., Knohl, A., Kobayashi, H., Kraemer, G., Law, B. E., Liddell, M. J., Ma, X., Mammarella, I., Martini, D., Macfarlane, C., Matteucci, G., Montagnani, L., Pabon-Moreno, D. E., Panigada, C., Papale, D., Pendall, E., Penuelas, J., Phillips, R. P., Reich, P. B., Rossini, M., Rotenberg, E., Scott, R. L., Stahl, C., Weber, U., Wohlfahrt, G., Wolf, S., Wright, I. J., Yakir, D., Zaehle, S., and Reichstein, M. (2021).
The three major axes of terrestrial ecosystem function.
Nature, https://doi.org/10.1038/s41586-021-03939-9

(38) Drüke, M., von Bloh, W., Petri, S., Sakschewski, B., Schaphoff, S., Forkel, M., Huiskamp, W., Feulner, G., and Thonicke, K. (2021).
CM2Mc-LPJmL v1.0: biophysical coupling of a process-based dynamic vegetation model with managed land to a general circulation model.
Geoscientific Model Development, 14, 4117–4141, https://doi.org/10.5194/gmd-14-4117-2021.

(37) Kuhn-Régnier, A., Voulgarakis, A., Nowack, P., Forkel, M., Prentice, I. C. and Harrison, S. P. (2021).
The importance of antecedent vegetation and drought conditions as global drivers of burnt area.
Biogeosciences 18, 3861–3879, https://doi.org/10.5194/bg-18-3861-2021

(36) Li, W., Migliavacca, M., Forkel, M., Walther, S., Reichstein, M., and Orth, R. (2021).
Revisiting Global Vegetation Controls Using Multi-Layer Soil Moisture.
Geophysical Research Letters 48, e2021GL092856, https://doi.org/10.1029/2021GL092856

(35) Teubner, I. E., Forkel, M., Wild, B., Mösinger, L. and Dorigo, W. A. (2021).
Impact of temperature and water availability on microwave-derived gross primary production.
Biogeosciences 18, 3285–3308. https://doi.org/10.5194/bg-18-3285-2021

(34) Chuvieco, E., Pettinari, M. L., Koutsias, N., Forkel, M., Hantson, S., and Turco, M. (2021).
Human and climate drivers of global biomass burning variability.
Science of The Total Environment, 146361, https://doi.org/10.1016/j.scitotenv.2021.146361

2020

(33) Crocetti, L., Forkel, M., Fischer, M., Jurečka, F., Grlj, A., Salentinig, A., Trnka, M., Anderson, M., Ng, W.-T., Kokalj, Ž., Bucur, A. and Dorigo, W. (2020).
Earth Observation for agricultural drought monitoring in the Pannonian Basin (southeastern Europe): current state and future directions
Regional Environmental Change, 20(4), 123. https://doi.org/10.1007/s10113-020-01710-w

(32) Pfeil, I., Wagner, W., Forkel, M., Dorigo, W., Vreugdenhil, M. (2020).
Does ASCAT observe the spring reactivation in temperate deciduous broadleaf forests?
Remote Sensing of Environment 250, 112042. https://doi.org/10.1016/j.rse.2020.112042

(31) Lasslop, G., Hantson, S., Harrison, S.P., Bachelet, D., Burton, C., Forkel, M., Forrest, M., Li, F., Melton, J.R., Yue, C., Archibald, S., Scheiter, S., Arneth, A., Hickler, T., Sitch, S. (2020).
Global ecosystems and fire: multi-model assessment of fire-induced tree cover and carbon storage reduction.
Global Change Biology https://doi.org/10.1111/gcb.15160

(30) Moesinger, L., Dorigo, W., Jeu, R. de, Schalie, R. van der, Scanlon, T., Teubner, I., Forkel, M. (2020).
The global long-term microwave Vegetation Optical Depth Climate Archive (VODCA).
Earth System Science Data 12, 177–196. https://doi.org/10.5194/essd-12-177-2020

2019

(29) Forkel, M., Drüke, M., Thurner, M., Dorigo, W., Schaphoff, S., Thonicke, K., Bloh, W. von, Carvalhais, N. (2019).
Constraining modelled global vegetation dynamics and carbon turnover using multiple satellite observations.
Scientific Reports 9, 1–12. https://doi.org/10.1038/s41598-019-55187-7

(28) Drüke, M., Forkel, M., Bloh, W. von, Sakschewski, B., Cardoso, M., Bustamante, M., Kurths, J., Thonicke, K. (2019).
Improving the LPJmL4-SPITFIRE vegetation-fire model for South America using satellite data.
Geoscientific Model Development 12, 5029-5054. https://doi.org/10.5194/gmd-12-5029-2019

(27) Zappa, L., Forkel, M., Xaver, A., Dorigo, W. (2019).
Deriving Field Scale Soil Moisture from Satellite Observations and Ground Measurements in a Hilly Agricultural Region.
Remote Sensing 11, 2596. https://doi.org/10.3390/rs11222596

(26) Forkel, M., Dorigo, W.A., Lasslop, G., Chuvieco, E., Hantson, S., Heil, A., Teubner, I., Thonicke, K., Harrison, S.P. (2019).
Recent global and regional trends in burned area and their compensating environmental controls.
Environmental Research Communications. https://doi.org/10.1088/2515-7620/ab25d2

(25) Teubner, I.E., Forkel, M., Camps-Valls, G., Jung, M., Miralles, D.G., Tramontana, G., van der Schalie, R., Vreugdenhil, M., Mösinger, L., Dorigo, W.A. (2019).
A carbon sink-driven approach to estimate gross primary production from microwave satellite observations.
Remote Sensing of Environment 229, 100–113. https://doi.org/10.1016/j.rse.2019.04.022

(24) Forkel, M., Dorigo, W., Carvalhais, N., Thonicke, K. (2019).
Fernerkundung für Globale Klima-Vegetationsmodelle.
Publikationen der Deutschen Gesellschaft für Photogrammetrie, Fernerkundung und Geoinformation 28, 203–213.

(23) Forkel, M., Andela, N., Harrison, S.P., Lasslop, G., Marle, M. van, Chuvieco, E., Dorigo, W., Forrest, M., Hantson, S., Heil, A., Li, F., Melton, J., Sitch, S., Yue, C., Arneth, A. (2019).
Emergent relationships with respect to burned area in global satellite observations and fire-enabled vegetation models.
Biogeosciences 16, 57–76. https://doi.org/10.5194/bg-16-57-2019

(22) Huang, J., Forkelová, L., Unsicker, S.B., Forkel, M., Griffith, D.W.T., Trumbore, S., Hartmann, H. (2019).
Isotope labeling reveals contribution of newly fixed carbon to carbon storage and monoterpenes production under water deficit and carbon limitation.
Environmental and Experimental Botany. https://doi.org/10.1016/j.envexpbot.2019.03.010

2018

(21) Buermann, W., Forkel, M., O’Sullivan, M., Sitch, S., Friedlingstein, P., Haverd, V., Jain, A.K., Kato, E., Kautz, M., Lienert, S., Lombardozzi, D., Nabel, J.E.M.S., Tian, H., Wiltshire, A.J., Zhu, D., Smith, W.K., Richardson, A.D. (2018).
Widespread seasonal compensation effects of spring warming on northern plant productivity.
Nature 562, 110–114. https://doi.org/10.1038/s41586-018-0555-7

(20) Schaphoff, S., Forkel, M., Müller, C., Knauer, J., von Bloh, W., Gerten, D., Jägermeyr, J., Lucht, W., Rammig, A., Thonicke, K. and Waha, K. (2018b).
LPJmL4 – a dynamic global vegetation model with managed land – Part 2: Model evaluation.
Geoscientific Model Development, 11(4), 1377–1403, doi:10.5194/gmd-11-1377-2018.

(19) Schaphoff, S., von Bloh, W., Rammig, A., Thonicke, K., Biemans, H., Forkel, M., Gerten, D., Heinke, J., Jägermeyr, J., Knauer, J., Langerwisch, F., Lucht, W., Müller, C., Rolinski, S. and Waha, K. (2018a).
LPJmL4 – a dynamic global vegetation model with managed land – Part 1: Model description.
Geoscientific Model Development, 11(4), 1343–1375, doi:10.5194/gmd-11-1343-2018.

(18) Teubner, I.E., Forkel, M., Jung, M., Liu, Y.Y., Miralles, D.G., Parinussa, R., van der Schalie, R., Vreugdenhil, M., Schwalm, C.R., Tramontana, G., Camps-Valls, G., Dorigo, W.A. (2018).
Assessing the relationship between microwave vegetation optical depth and gross primary production.
International Journal of Applied Earth Observation and Geoinformation 65, 79–91. doi:10.1016/j.jag.2017.10.006

2017

(17) Forkel, M., Dorigo, W., Lasslop, G., Teubner, I., Chuvieco, E., Thonicke, K. (2017).
A data-driven approach to identify controls on global fire activity from satellite and climate observations (SOFIA V1).
Geoscientific Model Development 10, 4443-4476. doi:10.5194/gmd-10-4443-2017
The publication received the Best Paper Award 2017 of the Faculty for Mathematics and Geoinformation of TU Wien.

(16) Dorigo, W., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, P.D., Hirschi, M., Ikonen, J., de Jeu, R., Kidd, R., Lahoz, W., Liu, Y.Y., Miralles, D., Mistelbauer, T., Nicolai-Shaw, N., Parinussa, R., Pratola, C., Reimer, C., van der Schalie, R., Seneviratne, S.I., Smolander, T., Lecomte, P. (2017).
ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions.
Remote Sensing of Environment, 203, 185-215. doi:10.1016/j.rse.2017.07.001

(15) Sippel, S., Forkel, M., Rammig, A., Thonicke, K., Flach, M., Heimann, M., Otto, F. E. L., Reichstein, M. and Mahecha, M. D. (2017).
Contrasting and interacting changes in simulated spring and summer carbon cycle extremes in European ecosystems.
Environmental Research Letters, 12, 7, 075006. doi:10.1088/1748-9326/aa7398.

(14) Knauer, J., Zaehle, S., Reichstein, M., Medlyn, B. E., Forkel, M., Hagemann, S., Werner, C. (2017).
The response of ecosystem water-use efficiency to rising atmospheric CO2 concentrations: sensitivity and large-scale biogeochemical implications.
New Phytologist, 213, 1654-1666. doi:10.1111/nph.14288.

2016

(13) Thurner, M., Beer, C., Carvalhais, N., Forkel, M., Santoro, M., Tum, M., Schmullius, C. (2016).
Large‐scale variation in boreal and temperate forest carbon turnover rate is related to climate.
Geophysical Research Letters, doi:10.1002/2016GL068794.

(12) Sippel, S., Otto, F. E. L., Forkel, M., Allen, M. R., Guillod, B. P., Heimann, M., Reichstein, M., Seneviratne, S. I., Thonicke, K., Mahecha, M. D. (2016).
A novel bias correction methodology for climate impact simulations.
Earth System Dynamics, 7, 71-88. doi:10.5194/esd-7-71-2016.

(11) Filippa, G., Cremonese, E., Migliavacca, M., Galvagno, M., Forkel, M., Wingate, L., Tomelleri, E., Morra di Cella, U., Richardson, A.D. (2016).
Phenopix: A R package for image-based vegetation phenology.
Agricultural and Forest Meteorology 220, 141–150. doi:10.1016/j.agrformet.2016.01.006

(10) Forkel, M., Carvalhais, N., Rödenbeck, C., Keeling, R., Heimann, M., Thonicke, K., Zaehle, S., Reichstein, M. (2016).
Enhanced seasonal CO2 exchange caused by amplified plant productivity in northern ecosystems.
Science, doi:10.1126/science.aac4971.

2015

(9) Renner, M., Forkel, M., Brust, K., Schwärzel, K., Volk, M., Bernhofer, C. (2015).
Ein hydrometeorologisches Verfahren zur Unterscheidung der langjährigen Auswirkungen von Landnutzung und Klima auf den Wasserhaushalt.
Forum für Hydrologie und Wasserbewirtschaftung 35.15.

(8) Forkel, M., Migliavacca, M., Thonicke, K., Reichstein, M., Schaphoff, S., Weber, U., Carvalhais, N. (2015).
Codominant water control on global interannual variability and trends in land surface phenology and greenness.
Global Change Biology, 21(9), 3414-3435. doi:10.1111/gcb.12950.

(7) Semenova, O., Lebedeva, L., Volkova, N., Korenev, I., Forkel, M., Eberle, J., Urban, M. (2015).
Detecting immediate wildfire impact on runoff in a poorly-gauged mountainous permafrost basin.
Hydrological Sciences Journal, 60(7-8), 1225-1241. doi:10.1080/02626667.2014.959960.

2014

(6) Carvalhais, N., Forkel, M., Khomik, M., Bellarby, J., Jung, M., Migliavacca, M., Mu, M., Saatchi, S., Santoro, M., Thurner, M., Weber, U., Ahrens, B., Beer, C., Cescatti, A., Randerson, J. T., Reichstein, M. (2014).
Global covariation of carbon turnover times with climate in terrestrial ecosystems.
Nature, 514, 213-217. doi:10.1038/nature13731.

(5) Forkel, M., Carvalhais, N., Schaphoff, S., Bloh, W. v., Migliavacca, M., Thurner, M., Thonicke, K. (2014).
Identifying environmental controls on vegetation greenness phenology through model-data integration.
Biogeosciences, 11(23), 7025-7050. doi:10.5194/bg-11-7025-2014.

(4) Urban, M., Forkel, M., Eberle, J., Hüttich, C., Schmullius, C., Herold, M. (2014).
Pan-arctic climate and land cover trends derived from multi-variate and multi-scale analyses (1981–2012).
Remote Sensing, 6(3), 2296-2316. doi:10.3390/rs6032296.

2012 - 2013

(3) Urban, M., Forkel, M., Schmullius, C., Hese, S., Hüttich, C., Herold, M. (2013).
Identification of land surface temperature and albedo trends in AVHRR Pathfinder data from 1982 to 2005 for northern Siberia.
International Journal of Remote Sensing, 34(12), 4491-4507. doi:10.1080/01431161.2013.779760.

(2) Forkel, M., Carvalhais, N., Verbesselt, J., Mahecha, M. D., Neigh, C. S., Reichstein, M. (2013).
Trend change detection in NDVI time series: Effects of inter-annual variability and methodology.
Remote Sensing, 5(5), 2113-2144. doi:10.3390/rs5052113.

(1) Forkel, M., Thonicke, K., Beer, C., Cramer, W., Bartalev, S., Schmullius, C. (2012).
Extreme fire events are related to previous-year surface moisture conditions in permafrost-underlain larch forests of Siberia.
Environmental Research Letters, 7: 044021. doi:10.1088/1748-9326/7/4/044021.