Anne Reichmuth

Research fellow

Department Remote Sensing

Helmholtz Centre for Environmental Research - UFZ
Permoserstraße 15
04318 Leipzig

Phone +49 341 6025 2459

anne.reichmuth@ufz.de

Research interests

Forest vitality detection using multispectral timeseries and hyperspectral data

Current projects

Since April 2021 Forest condition monitor

Curriculum Vitae

since 2021

Research fellow, UFZ Leipzig, Forest condition monitor

2019 - 2021

Data Scientist, Finatix GmbH Leipzig, developing a fraud detection and Back-end development

2018 - 2019

Project monitoring, Geo-Naturpark Saale-Unstrut-Triasland e.V., Nebra, ELER project coordination

2018

Data Scientist, Hopmann Marketing Analytics Munich, Data engineering and data analysis

2015 - 2018

Research fellow, University of Würzburg and DLR Oberpfaffenhofen, Project Opt4Environment, Statistical analysis of laboratory measurements, processing and analysing hyperspectral data and multispectral timeseries for deriving forest vitality, field data planning and acquisition

2014 - 2015

German Trainee, ESA-ESRIN, Frascati, Assisting project monitoring Sen2-Agri, Comparison of atmospheric image processors ATCOR vs. MACCS

2013 - 2014

Research fellow, DLR Oberpfaffenhofen, processing hyperspectral and multispectral data, project contribution to VitTree, TreeIdent and FastResponse

2013

Student assistant, Technical University of Dresden, Analysis of reed habitats at the lake Neusiedl using imaging spectroscopy

2010 - 2013

Master of Engineering, HTW Dresden, Geoinformatics and Management

2009 - 2010

Scientific employee, FÖA Landschaftsplanung, Trier, Compensating measures

2008 - 2009

DAAD Scholarship, Na/an ku sê Research Namibia, Mapping research area and home ranges of large carnivores

2006 - 2009

Bachelor of Science, HNE Eberswalde, International Forest Ecosystem Management

2005 - 2006

Internship, Agriventure Canada, Agricultural employee on various farms

Peer-reviewed Publications

Reichmuth A., Henning L., Pinnel N., Bachmann M., Rogge D. (2018). “Early Detection of Vitality Changes of Multi-Temporal Norway Spruce Laboratory Needle Measurements—The Ring-Barking Experiment”. In: Remote Sensing 10.(1), doi:10.3390/rs10010057

Other Publications

Reichmuth A., Pinnel N., Rogge D., Heiden U. (2017). “Analysis of temporal statistics and long term climate observations for deriving the predisposition of forests to stress events”. In: 37th International Symposium on Remote Sensing ofEnvironment (ISRSE-37) (Twshane, South Africa)

Reichmuth, A., Bachmann M., Heiden U., Pinnel N., Holzwarth S., Henning L., Einzmann K., Immitzer M., Müller A., Seitz R. (2016). “The ring-barking experiment: Analysis of forest vitality using multi-temporal hyperspectral data”. In: Living Planet Symposium 2016 (Prague, Czech Republic)

Heiden, U., Holzwarth S., Pinnel N., Reichmuth A., Raczko E., Heurich M., Müller J., Wang Z., Skidmore A., Ali A., Wang T., Darvishzadeh R., Wegmann M. (2016).“Laboratory for Essential Biodiversity Variables (EBV) Concepts – The “Data PoolInitiative for the Bohemian Forest Ecosystem””. In: Living Planet Symposium 2016 (Prague, Czech Republic)

Immitzer, M., Einzmann K. , Böck S., Mattiuzzi M., Ng W.-T., Wallner A., Pinnel N., Reichmuth A., Frost M., Müller A., Seitz R., Atzberger C. (2015). “Erstellung von Fichten- und Kiefernanteilskarten auf Basis von Satellitendaten für Bayern”. In: Forstliche Forschungsberichte München 214

Atzberger, C., Immitzer M., Einzmann K., Mattiuzzi M., Ng W.-T., Pinnel N., Reichmuth A., Wallner A., Frost M., Seitz R. (2014). “Mapping of spruce and pine fractional coverage at 1 ha resolution for entire Bavaria”. In: ForestSAT 2014 Riva del Garda

Contact

Head
Prof. Dr. Jian Peng
Department of Remote Sensing
jian.peng@ufz.de

Assistant
Catharina Reul
Department Remote Sensing and
Remote Sensing Centre for Earth System Research
catharina.reul-jimenez@ufz.de
Tel.: +49 341 6025-2335

Permoserstraße 15 | 04318 Leipzig | Germany

News / Press

The UFZ Forest Condition Monitor is now live. It provides spatially explicit information about the condition of Germany's forests from 2016 to 2022.

Two of our MoDEV PhD candidates published their latest research in Remote Sensing of Environment. Antonia Ludwig assessed the spectral variation hypothesis doi and Toni Schmidt compared soil moisture products with cosmic-ray neutron sensing observations doi.

UFZ press release of a study led by Almudena García-García: Heat extremes in the soil are underestimated

The forest condition monitor from our working group LACY is part of the Environmental Photo Festival horizons zingst 2023 and publicly displayed in the city Zingst until summer 2024.

UFZ press release of a study led by Francisco José Cuesta Valero: Underestimated Heat Storage

Daniel Doktor interviewed by radioeins: presenting the forest monitor.

Congratulations to Reagan Okoth for a successful oral Master defense!

Welcome Peter Borrmann to join us as a PhD candidate in December 2022.

Fantastic and successful first department retreat in Grimma since the establishment of the team:

Germany-wide grassland management and land-use intensity information depicted from satellite-data (Lange et al. 2022) are now available as download and web service

Congratulations to Francisco José Cuesta Valero for being awarded the Alexander von Humboldt Research Fellowship, and we warmly welcome him to join us in October 2021.

MoDEV project kick-off seminar was successfully held on Sep 21, 2021. Four talented and motivated phd candidates will apply novel model-data fusion methods to better understand environmental variability based on high-resolution remote sensing.

MoDEV

Remote Sensing Center for Earth System Research (RSC4Earth) kicked off!

https://rsc4earth.de

https://twitter.com/Rsc4Earth

New publications

Ludwig, A., Doktor, D., and Feilhauer, H.: Is spectral pixel-to-pixel variation a reliable indicator of grassland biodiversity? A systematic assessment of the spectral variation hypothesis using spatial simulation experiments, Remote Sensing of Environment, 302, 113988, 2024
doi

Schmidt, T., Schrön, M., Li, Z., Francke, T., Zacharias, S., Hildebrandt, A., and Peng, J.: Comprehensive Quality Assessment of Satellite- and Model-Based Soil Moisture Products against the COSMOS Network in Germany, Remote Sensing of Environment, 301, 113930, 2024
doi

Almudena García-García, Francisco José Cuesta-Valero, Diego G. Miralles, Miguel D. Mahecha, Johannes Quaas, Markus Reichstein, Jakob Zscheischler and Jian Peng. Soil heat extremes can outpace air temperature extremes, Nature Climate Change
(doi)

Cuesta-Valero, F.J., Beltrami, H., García-García, A., Krinner, G., Langer, M., MacDougall, A.H., Nitzbon, J., Peng, J., von Schuckmann, K., Seneviratne, S.I., Thiery, W., Vanderkelen, I., & Wu, T.: Continental heat storage: contributions from the ground, inland waters, and permafrost thawing. Earth System Dynamics, 14, 609-627, 2023.

Mahecha, M., Bastos, A., Bohn, F., Eisenhauer, N., Feilhauer, H., Hartmann, H., Hickler, T., Kalesse-Los, H., Migliavacca, M., Otto, F., Peng, J., Quaas, J., Tegen, I., Weigelt, A., Wendisch, M., Wirth, C., (2022):
Biodiversity loss and climate extremes — study the feedbacks, Nature, 612, 30-32, 2022.

Lange M, Feilhauer H, Kühn I, Doktor D (2022):
Mapping land-use intensity of grasslands in Germany with machine learning and Sentinel-2 time series.
Remote Sensing of Environment 277,112888
(doi)

Peng, J., Albergel, C., Balenzano, A., Brocca, L., Cartus, O., Cosh, M.H., Crow, W.T., Dabrowska-Zielinska, K., Dadson, S., Davidson, M.W.J., de Rosnay, P., Dorigo, W., Gruber, A., Hagemann, S., Hirschi, M., Kerr, Y.H., Lovergine, F., Mahecha, M.D., et al., (2021):
A roadmap for high-resolution satellite soil moisture applications – confronting product characteristics with user requirements.
Remote Sensing of Environment, 112162
(doi)

Balenzano, A., Mattia, F., Satalino, G., Lovergine, F.P., Palmisano, D., Peng, J., et al., (2021):
Sentinel-1 soil moisture at 1 km resolution: a validation study.
Remote Sensing of Environment, 263, 112554
full text (doi)

Huang, J., Zhang, Y., Bing, H., Peng, J., Dong, F., Gao, J., & Arhonditsis, G.B. (2021):
Characterizing the River Water Quality in China: Recent Progress and On-Going Challenges.
Water Research 201: 117309
full text (doi)

Ayalew, D.A., Deumlich, D., Šarapatka, B., Doktor, D., (2020):
Quantifying the sensitivity of NDVI-based C factor estimation and potential soil erosion prediction using spaceborne Earth observation data
Remote Sens. 12 (7), art. 1136
full text (doi)

Preidl, S., Lange, M., Doktor, D., (2020):
Introducing APiC for regionalised land cover mapping on the national scale using Sentinel-2A imagery
Remote Sens. Environ. 240 , art. 111673
full text (doi)