Publications
Alle Publikationen von JProf. Dr. Matthias Forkel sind hier gelistet: Matthias Website | GoogleScholar | ORCID
Table of contents
Pre-prints / in open discussion
(41) 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
(40) 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
2025
(39) 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.
* Hoontaek Lee is a PhD candidate enrolled at TUD under supervision of M. Forkel, located at the Max Planck Institute for Biogeochemistry Jena
(38) 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., Plummer, S. (2025).
Burning of woody debris dominates fire emissions in the Amazon and Cerrado.
Nature Geoscience 1–8. https://doi.org/10.1038/s41561-024-01637-5
(37) 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
(36) Forrest, M., Hetzer, J., Billing, M., Bowring, S. P. K., Kosczor, E., Oberhagemann, L., Perkins, O., Warren, D., Arrogante-Funes, F., Thonicke, K., and Hickler, T. (2024).
Understanding and simulating cropland and non-cropland burning in Europe using the BASE (Burnt Area Simulator for Europe) model
Biogeosciences, 21, 5539–5560, https://doi.org/10.5194/egusphere-2024-1973
(35) 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 .
(34) 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
(33) 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
(32) 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
(31) 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.
(30) 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
(29) 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
(28) 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.
(27) 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
(26) 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
(25) 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.
(24) 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-0422-21-2023.
* Denis Reiter was a MSc student at TU Dresden supervised by M. Forkel and G. Meinel from the Leibniz Institute of Ecological Urban and Regional Development (IOER)
(23) 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
(22) 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
(21) 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.
(20) 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
(19) 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
(18) Fan, N., Reichstein, M., Koirala, S., Ahrens, B., Mahecha, M. D., and Carvalhais, N. (2022).
Global apparent temperature sensitivity of terrestrial carbon turnover modulated by hydrometeorological factors
Nature Geoscience, 15, 989–994, https://doi.org/10.1038/s41561-022-01074-2
(17) 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.
(16) 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
(15) 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
(14) 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
(13) 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
(12) 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
(11) 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
(10) 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.
(9) 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
(8) 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.
* Wantong Li is a PhD candidate enrolled at TUD under supervision of M. Forkel, located at the Max Planck Institute for Biogeochemistry Jena
(7) 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
(6) 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
(5) 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
(4) 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
(3) 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
2019
(2) 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
(1) 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