Prof. Dr. Matthias Forkel

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Professor

Name

Prof. Dr. Matthias Forkel

Umweltfernerkundung, ERASMUS-Koordinator Geowissenschaften

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Hülssebau, Room 438 Helmholtzstr. 10

01069 Dresden

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Office hours:

Wednesday:

08:15 - 09:00

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Thursday:

08:15 - 09:00

ERASMUS-Sprechstunde

Eine Anmeldung zu den Sprechzeiten ist ausdrücklich nicht notwendig. Alternativ sprechen Sie mich vor oder nach den Vorlesungen an. Die Sprechstunde fällt aus am: 06.05., 20.+21.05., 27.+28.05., 24.+25.06., 22.-30.07.

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

Profile and research interests

Matthias Forkel studied geography and geoinformatics with a focus on remote sensing and completed his doctorate at the interface of global biogeochemistry and remote sensing. He considers himself an interdisciplinary environmental scientist with a focus on remote sensing. He has held the Chair of Environmental Remote Sensing at TU Dresden since 2019. His core research areas are method development and evaluation of optical and microwave satellite observations for monitoring, understanding, quantifying and modeling changes in terrestrial ecosystems and landscapes, in particular interactions between atmosphere, vegetation, water and carbon cycles and forest fires, and the associated feedbacks in the Earth system. He has a strong interest in combining globally-oriented basic earth system research with the practical requirements of regional climate change adaptation (focus on Central Europe).

Matthias Forkel's research focuses on understanding terrestrial ecosystem dynamics, disturbance regimes and climate sensitivities through the integration of Earth observation, data analysis and data-based process modeling. He has contributed significantly to conceptual and methodological developments in the areas of large-scale vegetation phenology, biosphere-atmosphere feedbacks, fire-vegetation interactions and climate-induced ecosystem change by combining multi-sensor satellite data with process-based and statistical modeling approaches (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 focus of Forkel's profile is the development and application of remote sensing for vegetation fire science and management, including the quantification of global fire dynamics and the identification of climatic, vegetative and anthropogenic influences on forest fire activity (Forkel et al. 2012; Forkel et al. 2017, 2019a, 2019b, 2025). His research deals with satellite-based indicators of fuel loads and fuel moisture, fire behavior and fire severity worldwide and in temperate forests (Beetz et al. 2024, Forkel et al. 2023, Kranz et al. 2025). This line of research culminates in the S4F approach described in Forkel et al.(2025), in which various satellite datasets are integrated to quantify how vegetation, fuels and moisture affect wildfire emissions. More recently, he has contributed to forest fire risk assessments that integrate biophysical and socioeconomic vulnerability dimensions to develop regional climate adaptation strategies (Avouris et al. 2025; Almeida et al. 2024).

A second important core research area deals with the use of microwave remote sensing to characterize vegetation structure, biomass and water status. This work aims to link plant physiological states, forest structure and fire-relevant fuel moisture processes by combining passive and active microwave observations with modelling and field data. Forkel's studies demonstrate the feasibility of determining global leaf moisture content using passive microwave signals (Forkel et al. 2023) and combine microwave remote sensing with lidar to quantify changes in the vertical structure of forests (Liu et al. 2024a, 2024b, 2025). Previous contributions on large-scale passive microwave optical depth of vegetation (VOD) datasets and derived products (Moesinger et al. 2020; Teubner et al. 2018, 2019, Wild et al. 2022) provide fundamental methodological components that support this research direction.

Curriculum vitae

Professional experience

• since 09/2025 | TU Dresden, Dresden | Professor for Environmental Remote Sensing
• 09/2019 - 08/2025|TU Dresden, Dresden | Junior Professor for Remote Sensing, additionally since 09/2023 Extraordinary Professor, Faculty of Environmental Sciences
• 01/2016 - 08/2019 | TU Wien, Vienna, Austria | Postdoc/University Assistant at the Department of Geodesy and Geoinformation, Research Group for Climate and Environmental Remote Sensing
• 01/2015 - 12/2015 | Max Planck Institute for Biogeochemistry, Jena | Postdoctoral Researcher at the Department of Biogeochemical Integration
• 01/2011 - 12/2014 | Max Planck Institute for Biogeochemistry, Jena | Doctoral student at the Department of Biogeochemical Integration
• 2009 - 2010 | Friedrich Schiller University, Jena | Research Assistant at the Chair of Remote Sensing

Education

• 2015 | PhD (Dr. rer. nat.) | Friedrich Schiller University, Jena | Dissertation: 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 | Master of Science in Geoinformatics
• 2005 - 2008 | B.Sc. | Friedrich Schiller University, Jena | Bachelor of Science in Geography

Memberships and academic tasks

• Member of the National Expert Team Requirements Meteorological Satellites 2040+ of the German Weather Service
• Academic coordinator of the Bachelor degree program in Environmental Informatics, TU Dresden
• Academic Coordinator of the ERASMUS+ program at the Department of Geosciences/Faculty of Environmental Sciences, TU Dresden ERASMUS website
• Member of the Doctoral Committee of the Faculty of Environmental Sciences, TU Dresden
• Vice-Chair of the Cross-Border Scientific Advisory Board of the National Parks Saxon Switzerland (Germany) and Bohemian Switzerland (Czech Republic)
• Member of the German Society for Photogrammetry, Remote Sensing and Geoinformation (DGPF)

Third-party funded projects (at the TUD)

• 01/2026 – 12/2029 | ROBUST (Eva Mayr-Stihl Foundation): Forests in Transition: The Future of the European Beech under Drought Stress; Sub-project: Assessment of tree crown vitality, transpiration and crown water status, and extrapolation from the individual tree to the stand and landscape scale using remote sensing data (role: co-researcher, in collaboration with the Chair of Geosensor Systems)

• 10/2025 - 08/2027 | EO4Nature Soil Moisture Service (LUP/DLR): Creation of a monitoring service for recording and modeling soil moisture (role: co-researcher)

• 10/2025 - 09/2028 | THRAC3E (ESA): Terrestrial high-resolution assessment of the carbon cycle and its coordination in Europe (Role: Co-researcher)

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

  BIOMASS Cal/Val activities (Role: Co-researcher)

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

• 07/2023 - 06/2025 | 3C Copernicus Cross Compliance (DLR): Monitoring of cross-compliance obligations in agricultural support (Role: Co-researcher)

• 08/2021 - 12/2026 | Sense4Fire (ESA) ((link) Sentinel-based products on fuels, fires and emissions to limit the changing role of vegetation fires in the global carbon cycle (role: project leader)

• 2022-2024 | PhenoFeedBacks (DFG): Biophysical effects and feedbacks of phenological changes in plants (Role: Project leader)

• 04/2022-02/2023 | NFDI4Earth MDI (DFG): NFDI pilot project for the seamless integration of earth system model data

• 01/2022 - 12/2024 | Recovery (DFG): Recent changes in the carbon cycle of vegetation in the North (role: co-researcher)

• 04/2021 - 03/2025 | FirEUrisk (EU H2020)(link): Development of a holistic, risk-aware strategy for European forest fire management (role: co-researcher)

• 04/2021 - 05/2022 | Corona (LfULG): Land cover mapping in Saxony 1964-1984 (role: principal investigator)

Awards and scholarship

• 2018 | Best Paper Award of the Faculty of Mathematics and Geoinformation of the TU Vienna | Associated publication: Forkel et al. 2017 GMD
• 2016 - 2018 | Living Planet Fellowship of the European Space Agency ESA
• 2016 | Beutenberg Campus Science Award, Jena | Best dissertation in life sciences and physics 2015

Publications

Matthias' publications can also be found here: ORCID, GoogleScholar, Scopus, Web of Science, ResearchGate

Important publications

Number of citations according to GoogleScholar (2026-06-02).

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: 10

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: 64

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: 172

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: 534

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: 670

All publications

Publications are listed chronologically.

Preprints or in public discussion

Hau, O., Forkel, M., Buermann, W., Kranz, J., Migliavacca, M., Weber, U., Winkler, A.J. (2026).
Phenology and Surface Energy Balance Changes Across Northern Lands.
EGUsphere 1–24. https://doi.org/10.5194/egusphere-2026-910

Winkler, A.J., Kranz, J., Graf, A., Caporaso, L., Duveiller, G., Fan, N., Gharun, M., Green, J.K., Hammerle, A., Harrison, S.P., Hau, O., Javadian, M., Li, X., Liu, G., Mauder, M., Migliavacca, M., Miralles, D.G., Rachti, D.H., Panwar, A., Reichstein, M., Reimers, C., Ribeiro, A.F.S., Richardson, A.D., Wohlfahrt, G., Yerba, M., Zhao, L., Forkel, M. (2026).
The Phenology-Climate Feedback Loop: Current Understanding and Future Directions.
ESS Open Archive. https://doi.org/10.22541/essoar.177092640.00260655/v1

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., 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

(72) Wang, S., Yang, H., Koirala, S., Santoro, M., Candotti, A., Weber, U., De, R., Robin, C., Cremer, F., Forkel, M., Reichstein, M., Carvalhais, N. (2026).
A global dataset of forest disturbance regimes derived from satellite biomass observations
Earth System Science Data 18, 5895–5913. https://doi.org/10.5194/essd-18-5895-2026

(71) Fang, Z., Forkel, M., Fan, N., Thonicke, K., Wang, J. A., Friedl, M. A., Buermann, W. (2026).
Consistent Tree Cover Dynamics Across Northern Lands During the Last Decades – A Multi-Dataset Assessment
Environmental Research Communications, https://doi.org/10.1088/2515-7620/ae6d8c.

(70) de Laat, A.T.J., Andela, N., Forkel, M., Huijnen, V., Kinalczyk, D., van Wees, D. (2026).
Sentinel-5p Reveals Unexplained Large Wildfire Carbon Emissions in the Amazon in 2024
Geophysical Research Letters 53, e2025GL115123. https://doi.org/10.1029/2025GL115123

(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 Analyze 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).
Global trends and drivers of wildfires under climate change. Contribution of remote sensing to fire geography and forest fire risk assessment
Geographical Review 11-2023, 6-9.

(54) Kugler, L., Marrs, C., Kosczor, E., and Forkel, M. (2023).
Land cover in Saxony 1961-1979 (Part 1). Detection of land cover changes in Saxony 1961-1979: analysis using historical CORONA spy images and deep neural networks
Publication series of the 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).
Evaluation of Actual Utilization in the ATKIS Basis-DLM using Digital Orthophotos and Deep Learning
ZfV - Journal for Geodesy, Geoinformation and Land Management, 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 modeling 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).
Remote Sensing for Global Climate-Vegetation Models.
Publications of the German Society for Photogrammetry, Remote Sensing and 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: 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).
A hydrometeorological method to distinguish the long-term effects of land use and climate on the water balance.
Forum for Hydrology and Water Management 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.