Skipt to content

Franz Schulze, M.Sc.

Profile Picture: Franz Schulze, M.Sc. FS

M.Sc. Franz Schulze Fellow

Research assistant Geoecology

Mail: franz.schulze@geo.uni-halle.de Tel: +49 (0)345 55 28298 Room: H4 1.35 Consultation hours: by arrangement(during the semester break only by appointment)

Research

  • Multispectral/Thermal Remote Sensing
  • Geoinformatics
  • Drought monitoring
  • Agroecology

Biography

  • since 10/2024
    Research assistant and PhD student at Martin Luther University Halle-Wittenberg, Institute of Geosciences and Geography, Geoecology
  • 01/2022-10/2024
    Research assistant/technical assistant at the Martin Luther University Halle-Wittenberg in the project “Green Central Asia” (online tool and automated bulletin generation for mapping droughts in Central Asia, development of drought indicators and validation analyses)
  • 10/2022-03/2023
    Tutor at Martin Luther University Halle-Wittenberg (basics and advanced knowledge of spatial climate time series analysis with R)
  • 01/2021-10/2024
    Research assistant at UFZ Leipzig (Development of a complex, integrated, automated drone data processing system with additional tree canopy detection using deep learning models)
  • 10/2019 – 07/2024
    M.Sc. International Area Studies – Global Change Geography at the Martin Luther University Halle-Wittenberg (Topic: Multi-seasonal Hierarchical Deep Learning Crop Rotation Classification in Mecklenburg-Western Pomerania based on Sentinel 2-Data)
  • 03/2018-03/2021
    Research assistant at the University of Leipzig (Laboratory for Geosedimentology)
  • 10/2016 – 04/2019
    B.Sc. Geography at the University of Leipzig (Topic: Quantification of Holocene thermokarst processes in Central Yakutia based on three-dimensional GIS analyses)

Teaching

2355391MDLREVTXPeerReviewSchulze 1american-journal-of-plant-sciences50datedesc1 Schulze, F. 12640https://geo.uni-halle.de/wp-content/plugins/zotpress/

2355391MDLREVTXPresentationSchulze 1american-journal-of-plant-sciences50datedesc1 Schulze, F. 12640https://geo.uni-halle.de/wp-content/plugins/zotpress/
%7B%22status%22%3A%22success%22%2C%22updateneeded%22%3Afalse%2C%22instance%22%3Afalse%2C%22meta%22%3A%7B%22request_last%22%3A0%2C%22request_next%22%3A0%2C%22used_cache%22%3Atrue%7D%2C%22data%22%3A%5B%7B%22key%22%3A%22HPXWUJDU%22%2C%22library%22%3A%7B%22id%22%3A2355391%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Schulze%20et%20al.%22%2C%22parsedDate%22%3A%222026-05-07%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1%20%26lt%3B%5C%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3B%26lt%3Bstrong%26gt%3BSchulze%2C%20F.%26lt%3B%5C%2Fstrong%26gt%3B%2C%20L%26%23xF6%3Bw%2C%20J.%2C%20P%26%23xF6%3Bhlitz%2C%20J.%20and%20Conrad%2C%20C.%20%282026%2C%20May%207%29%20EO-Based%20Crop%20Classification%20for%20Rotation%20Monitoring%20%26%23x2013%3B%20Evaluating%20Temporal%20Consistency%20of%20Operational%20Models%20for%20Sustainable%20Agricultural%20Management.%20Poster%2C%20Vienna%2C%20Austria.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-DOIURL%26%23039%3B%20target%3D%26%23039%3B_blank%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2Fhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.5194%5C%2Fegusphere-egu26-17883%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2Fhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.5194%5C%2Fegusphere-egu26-17883%26lt%3B%5C%2Fa%26gt%3B.%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22presentation%22%2C%22title%22%3A%22EO-Based%20Crop%20Classification%20for%20Rotation%20Monitoring%20%5Cu2013%20Evaluating%20Temporal%20Consistency%20of%20Operational%20Models%20for%20Sustainable%20Agricultural%20Management%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22presenter%22%2C%22firstName%22%3A%22Franz%22%2C%22lastName%22%3A%22Schulze%22%7D%2C%7B%22creatorType%22%3A%22presenter%22%2C%22firstName%22%3A%22Johannes%22%2C%22lastName%22%3A%22L%5Cu00f6w%22%7D%2C%7B%22creatorType%22%3A%22presenter%22%2C%22firstName%22%3A%22Julia%22%2C%22lastName%22%3A%22P%5Cu00f6hlitz%22%7D%2C%7B%22creatorType%22%3A%22presenter%22%2C%22firstName%22%3A%22Christopher%22%2C%22lastName%22%3A%22Conrad%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%222026-05-07%22%2C%22sessionTitle%22%3A%22%22%2C%22DOI%22%3A%22https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.5194%5C%2Fegusphere-egu26-17883%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22language%22%3A%22english%22%2C%22collections%22%3A%5B%22MDLREVTX%22%5D%2C%22dateModified%22%3A%222026-06-16T06%3A34%3A13Z%22%7D%7D%2C%7B%22key%22%3A%22V343Z9P7%22%2C%22library%22%3A%7B%22id%22%3A2355391%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Ginzler%20et%20al.%22%2C%22parsedDate%22%3A%222025-05-28%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1%20%26lt%3B%5C%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3BGinzler%2C%20C.%2C%20D%26%23xED%3Baz-Delgado%2C%20R.%2C%20K%26%23xFC%3Bkenbrink%2C%20D.%2C%20Kumar%20Gupta%2C%20S.%2C%20%26lt%3Bstrong%26gt%3BSchulze%2C%20F.%26lt%3B%5C%2Fstrong%26gt%3B%2C%20Gr%26%23xFC%3Bndling%2C%20R.%20and%20Mallast%2C%20U.%20%282025%29%20From%20Trees%20to%20Data%3A%20A%20Standardised%20Approach%20to%20Forest%20Monitoring.%20%26lt%3Bi%26gt%3BARPHA%20Conference%20Abstracts%26lt%3B%5C%2Fi%26gt%3B%2C%20%26lt%3Bb%26gt%3B8%26lt%3B%5C%2Fb%26gt%3B%2C%20e156519.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-DOIURL%26%23039%3B%20target%3D%26%23039%3B_blank%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.3897%5C%2Faca.8.e156519%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.3897%5C%2Faca.8.e156519%26lt%3B%5C%2Fa%26gt%3B.%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22From%20Trees%20to%20Data%3A%20A%20Standardised%20Approach%20to%20Forest%20Monitoring%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Christian%22%2C%22lastName%22%3A%22Ginzler%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ricardo%22%2C%22lastName%22%3A%22D%5Cu00edaz-Delgado%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Daniel%22%2C%22lastName%22%3A%22K%5Cu00fckenbrink%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Sharad%22%2C%22lastName%22%3A%22Kumar%20Gupta%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Franz%22%2C%22lastName%22%3A%22Schulze%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ralf%22%2C%22lastName%22%3A%22Gr%5Cu00fcndling%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ulf%22%2C%22lastName%22%3A%22Mallast%22%7D%5D%2C%22abstractNote%22%3A%22Forest%20ecosystems%20provide%20a%20wide%20range%20of%20services%2C%20including%20timber%20production%2C%20biodiversity%20conservation%2C%20protection%20against%20natural%20hazards%2C%20and%20human%20recreation.%20However%2C%20they%20are%20increasingly%20under%20pressure%20from%20direct%20human%20interventions%20and%20climate%20change.%20Strengthening%20forest%20resilience%20to%20changing%20environmental%20conditions%20requires%20appropriate%20adaptation%20measures%2C%20which%20in%20turn%20depend%20on%20a%20deep%20understanding%20of%20near-natural%20forest%20structures%20and%20functions.%20High-resolution%20in%20situ%20data%2C%20both%20temporally%20and%20spatially%2C%20are%20essential%20for%20understanding%20and%20effective%20planning%20and%20management.%20%5Cn%20%20%20%20%20%20%20%20%20%20%20%20This%20presentation%20introduces%20a%20potential%20eLTER%20service%20offering%20standardised%20terrestrial%20data%20collection%2C%20good%20practice%20guides%20and%20white%20papers%20to%20assess%20high%20resolution%203D%20structural%20forest%20ecosystem%20properties.%20Recent%20advances%20in%20proximate%20sensing%20like%20LiDAR%20and%20photogrammetry%20enable%20high-precision%2C%20three-dimensional%20forest%20reconstructions%20at%20unprecedented%20levels%20of%20detail.%20Among%20these%2C%20terrestrial%20laser%20scanning%20%28TLS%29%20has%20become%20the%20gold%20standard%20for%20generating%20very%20high-resolution%2C%20accurate%203D%20point%20clouds%20in%20forest%20environments.%20With%20improvements%20in%20portability%20and%20usability%2C%20TLS%20technology%20is%20now%20more%20accessible%20for%20widespread%20application.%20Mobile%20laser%20scanning%20%28MLS%29%2C%20including%20handheld%20or%20backpack-mounted%20personal%20laser%20scanning%20%28PLS%29%20systems%2C%20has%20recently%20emerged%20as%20a%20much%20faster%20alternative%2C%20capable%20of%20mapping%20a%20view%20hectares%20per%20day.%20However%2C%20this%20speed%20comes%20at%20the%20expense%20of%20reduced%20precision%20compared%20to%20TLS.%20For%20even%20larger-scale%20mapping%2C%20unmanned%20aerial%20vehicle%20laser%20scanning%20%28UAVLS%29%20is%20increasingly%20used%20to%20assess%20high%20resolution%203D%20forest%20structures%20across%20entire%20landscapes.%20Additionally%2C%20UAV-based%20and%20terrestrial%20photogrammetry%20based%20on%20spectral%20data%20provide%20detailed%203D%20structural%20information%20from%20overlapping%20images%2C%20while%20also%20enabling%20functional%20trait%20assessment%20through%20spectral%20data%20analysis.%20%5Cn%20%20%20%20%20%20%20%20%20%20%20%20A%20variety%20of%20sensors%20and%20methods%20are%20now%20available%20to%20capture%20detailed%20structural%20and%20functional%20information%20on%20trees%20and%20forests.%20These%20data%20acquisition%20techniques%2C%20along%20with%20their%20derived%20products%2C%20can%20significantly%20enhance%20eLTER%20standard%20observations%20by%20improving%20information%20on%20e.g.%20vegetation%20structure%2C%20biomass%2C%20energy%20flows%20and%20light%20availability.%20Furthermore%2C%20such%20standardised%20and%20scalable%20approaches%20can%20add%20value%20to%20various%20satellite%20missions%20by%20supporting%20the%20calibration%20and%20validation%20of%20satellite-derived%20data%20products.%20%5Cn%20%20%20%20%20%20%20%20%20%20%20%20In%20this%20presentation%2C%20we%20will%20outline%20the%20potential%20data%20products%2C%20documents%20and%20guidelines%20of%20this%20proposed%20service%2C%20discuss%20the%20benefits%20for%20different%20eLTER%20user%20groups%2C%20and%20explore%20its%20role%20in%20improving%20satellite%20data%20calibration%20and%20validation.%22%2C%22date%22%3A%222025-05-28%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.3897%5C%2Faca.8.e156519%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Faca.pensoft.net%5C%2Farticle%5C%2F156519%5C%2F%22%2C%22PMID%22%3A%22%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%222603-3925%22%2C%22language%22%3A%22%22%2C%22collections%22%3A%5B%22MDLREVTX%22%5D%2C%22dateModified%22%3A%222025-12-17T12%3A09%3A09Z%22%7D%7D%2C%7B%22key%22%3A%226W6TENPX%22%2C%22library%22%3A%7B%22id%22%3A2355391%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Gupta%20et%20al.%22%2C%22parsedDate%22%3A%222025-04-14%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1%20%26lt%3B%5C%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3BGupta%2C%20S.K.%2C%20%26lt%3Bstrong%26gt%3BSchulze%2C%20F.%26lt%3B%5C%2Fstrong%26gt%3B%2C%20Gr%26%23xFC%3Bndling%2C%20R.%20and%20Mallast%2C%20U.%20%282025%2C%20April%2014%29%20Drone4Tree%3A%20A%20Cloud-Based%20Geospatial%20Platform%20for%20Large-Scale%20UAV%20Data%20Processing%20and%20Tree%20Canopy%20Detection.%20Poster%2C%20Vienna%2C%20Austria.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-DOIURL%26%23039%3B%20target%3D%26%23039%3B_blank%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2Fhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.5194%5C%2Fegusphere-egu24-18370%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2Fhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.5194%5C%2Fegusphere-egu24-18370%26lt%3B%5C%2Fa%26gt%3B.%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22presentation%22%2C%22title%22%3A%22Drone4Tree%3A%20A%20cloud-based%20geospatial%20platform%20for%20large-scale%20UAV%20data%20processing%20and%20tree%20canopy%20detection%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22presenter%22%2C%22firstName%22%3A%22Sharad%20Kumar%22%2C%22lastName%22%3A%22Gupta%22%7D%2C%7B%22creatorType%22%3A%22presenter%22%2C%22firstName%22%3A%22Franz%22%2C%22lastName%22%3A%22Schulze%22%7D%2C%7B%22creatorType%22%3A%22presenter%22%2C%22firstName%22%3A%22Ralf%22%2C%22lastName%22%3A%22Gr%5Cu00fcndling%22%7D%2C%7B%22creatorType%22%3A%22presenter%22%2C%22firstName%22%3A%22Ulf%22%2C%22lastName%22%3A%22Mallast%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%222025-04-14%22%2C%22sessionTitle%22%3A%22%22%2C%22DOI%22%3A%22https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.5194%5C%2Fegusphere-egu24-18370%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22language%22%3A%22english%22%2C%22collections%22%3A%5B%22MDLREVTX%22%5D%2C%22dateModified%22%3A%222026-06-16T06%3A33%3A10Z%22%7D%7D%5D%7D
1
Schulze, F., Löw, J., Pöhlitz, J. and Conrad, C. (2026, May 7) EO-Based Crop Classification for Rotation Monitoring – Evaluating Temporal Consistency of Operational Models for Sustainable Agricultural Management. Poster, Vienna, Austria. https://doi.org/https://doi.org/10.5194/egusphere-egu26-17883.
1
Ginzler, C., Díaz-Delgado, R., Kükenbrink, D., Kumar Gupta, S., Schulze, F., Gründling, R. and Mallast, U. (2025) From Trees to Data: A Standardised Approach to Forest Monitoring. ARPHA Conference Abstracts, 8, e156519. https://doi.org/10.3897/aca.8.e156519.
1
Gupta, S.K., Schulze, F., Gründling, R. and Mallast, U. (2025, April 14) Drone4Tree: A Cloud-Based Geospatial Platform for Large-Scale UAV Data Processing and Tree Canopy Detection. Poster, Vienna, Austria. https://doi.org/https://doi.org/10.5194/egusphere-egu24-18370.

Publications

2355391MDLREVTXPeerReviewSchulze 1american-journal-of-plant-sciences50datedesc1 Schulze, F. 12640https://geo.uni-halle.de/wp-content/plugins/zotpress/

2355391MDLREVTXPresentationSchulze 1american-journal-of-plant-sciences50datedesc1 Schulze, F. 12640https://geo.uni-halle.de/wp-content/plugins/zotpress/
%7B%22status%22%3A%22success%22%2C%22updateneeded%22%3Afalse%2C%22instance%22%3Afalse%2C%22meta%22%3A%7B%22request_last%22%3A0%2C%22request_next%22%3A0%2C%22used_cache%22%3Atrue%7D%2C%22data%22%3A%5B%7B%22key%22%3A%22HPXWUJDU%22%2C%22library%22%3A%7B%22id%22%3A2355391%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Schulze%20et%20al.%22%2C%22parsedDate%22%3A%222026-05-07%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1%20%26lt%3B%5C%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3B%26lt%3Bstrong%26gt%3BSchulze%2C%20F.%26lt%3B%5C%2Fstrong%26gt%3B%2C%20L%26%23xF6%3Bw%2C%20J.%2C%20P%26%23xF6%3Bhlitz%2C%20J.%20and%20Conrad%2C%20C.%20%282026%2C%20May%207%29%20EO-Based%20Crop%20Classification%20for%20Rotation%20Monitoring%20%26%23x2013%3B%20Evaluating%20Temporal%20Consistency%20of%20Operational%20Models%20for%20Sustainable%20Agricultural%20Management.%20Poster%2C%20Vienna%2C%20Austria.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-DOIURL%26%23039%3B%20target%3D%26%23039%3B_blank%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2Fhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.5194%5C%2Fegusphere-egu26-17883%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2Fhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.5194%5C%2Fegusphere-egu26-17883%26lt%3B%5C%2Fa%26gt%3B.%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22presentation%22%2C%22title%22%3A%22EO-Based%20Crop%20Classification%20for%20Rotation%20Monitoring%20%5Cu2013%20Evaluating%20Temporal%20Consistency%20of%20Operational%20Models%20for%20Sustainable%20Agricultural%20Management%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22presenter%22%2C%22firstName%22%3A%22Franz%22%2C%22lastName%22%3A%22Schulze%22%7D%2C%7B%22creatorType%22%3A%22presenter%22%2C%22firstName%22%3A%22Johannes%22%2C%22lastName%22%3A%22L%5Cu00f6w%22%7D%2C%7B%22creatorType%22%3A%22presenter%22%2C%22firstName%22%3A%22Julia%22%2C%22lastName%22%3A%22P%5Cu00f6hlitz%22%7D%2C%7B%22creatorType%22%3A%22presenter%22%2C%22firstName%22%3A%22Christopher%22%2C%22lastName%22%3A%22Conrad%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%222026-05-07%22%2C%22sessionTitle%22%3A%22%22%2C%22DOI%22%3A%22https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.5194%5C%2Fegusphere-egu26-17883%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22language%22%3A%22english%22%2C%22collections%22%3A%5B%22MDLREVTX%22%5D%2C%22dateModified%22%3A%222026-06-16T06%3A34%3A13Z%22%7D%7D%2C%7B%22key%22%3A%22V343Z9P7%22%2C%22library%22%3A%7B%22id%22%3A2355391%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Ginzler%20et%20al.%22%2C%22parsedDate%22%3A%222025-05-28%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1%20%26lt%3B%5C%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3BGinzler%2C%20C.%2C%20D%26%23xED%3Baz-Delgado%2C%20R.%2C%20K%26%23xFC%3Bkenbrink%2C%20D.%2C%20Kumar%20Gupta%2C%20S.%2C%20%26lt%3Bstrong%26gt%3BSchulze%2C%20F.%26lt%3B%5C%2Fstrong%26gt%3B%2C%20Gr%26%23xFC%3Bndling%2C%20R.%20and%20Mallast%2C%20U.%20%282025%29%20From%20Trees%20to%20Data%3A%20A%20Standardised%20Approach%20to%20Forest%20Monitoring.%20%26lt%3Bi%26gt%3BARPHA%20Conference%20Abstracts%26lt%3B%5C%2Fi%26gt%3B%2C%20%26lt%3Bb%26gt%3B8%26lt%3B%5C%2Fb%26gt%3B%2C%20e156519.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-DOIURL%26%23039%3B%20target%3D%26%23039%3B_blank%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.3897%5C%2Faca.8.e156519%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.3897%5C%2Faca.8.e156519%26lt%3B%5C%2Fa%26gt%3B.%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22From%20Trees%20to%20Data%3A%20A%20Standardised%20Approach%20to%20Forest%20Monitoring%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Christian%22%2C%22lastName%22%3A%22Ginzler%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ricardo%22%2C%22lastName%22%3A%22D%5Cu00edaz-Delgado%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Daniel%22%2C%22lastName%22%3A%22K%5Cu00fckenbrink%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Sharad%22%2C%22lastName%22%3A%22Kumar%20Gupta%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Franz%22%2C%22lastName%22%3A%22Schulze%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ralf%22%2C%22lastName%22%3A%22Gr%5Cu00fcndling%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ulf%22%2C%22lastName%22%3A%22Mallast%22%7D%5D%2C%22abstractNote%22%3A%22Forest%20ecosystems%20provide%20a%20wide%20range%20of%20services%2C%20including%20timber%20production%2C%20biodiversity%20conservation%2C%20protection%20against%20natural%20hazards%2C%20and%20human%20recreation.%20However%2C%20they%20are%20increasingly%20under%20pressure%20from%20direct%20human%20interventions%20and%20climate%20change.%20Strengthening%20forest%20resilience%20to%20changing%20environmental%20conditions%20requires%20appropriate%20adaptation%20measures%2C%20which%20in%20turn%20depend%20on%20a%20deep%20understanding%20of%20near-natural%20forest%20structures%20and%20functions.%20High-resolution%20in%20situ%20data%2C%20both%20temporally%20and%20spatially%2C%20are%20essential%20for%20understanding%20and%20effective%20planning%20and%20management.%20%5Cn%20%20%20%20%20%20%20%20%20%20%20%20This%20presentation%20introduces%20a%20potential%20eLTER%20service%20offering%20standardised%20terrestrial%20data%20collection%2C%20good%20practice%20guides%20and%20white%20papers%20to%20assess%20high%20resolution%203D%20structural%20forest%20ecosystem%20properties.%20Recent%20advances%20in%20proximate%20sensing%20like%20LiDAR%20and%20photogrammetry%20enable%20high-precision%2C%20three-dimensional%20forest%20reconstructions%20at%20unprecedented%20levels%20of%20detail.%20Among%20these%2C%20terrestrial%20laser%20scanning%20%28TLS%29%20has%20become%20the%20gold%20standard%20for%20generating%20very%20high-resolution%2C%20accurate%203D%20point%20clouds%20in%20forest%20environments.%20With%20improvements%20in%20portability%20and%20usability%2C%20TLS%20technology%20is%20now%20more%20accessible%20for%20widespread%20application.%20Mobile%20laser%20scanning%20%28MLS%29%2C%20including%20handheld%20or%20backpack-mounted%20personal%20laser%20scanning%20%28PLS%29%20systems%2C%20has%20recently%20emerged%20as%20a%20much%20faster%20alternative%2C%20capable%20of%20mapping%20a%20view%20hectares%20per%20day.%20However%2C%20this%20speed%20comes%20at%20the%20expense%20of%20reduced%20precision%20compared%20to%20TLS.%20For%20even%20larger-scale%20mapping%2C%20unmanned%20aerial%20vehicle%20laser%20scanning%20%28UAVLS%29%20is%20increasingly%20used%20to%20assess%20high%20resolution%203D%20forest%20structures%20across%20entire%20landscapes.%20Additionally%2C%20UAV-based%20and%20terrestrial%20photogrammetry%20based%20on%20spectral%20data%20provide%20detailed%203D%20structural%20information%20from%20overlapping%20images%2C%20while%20also%20enabling%20functional%20trait%20assessment%20through%20spectral%20data%20analysis.%20%5Cn%20%20%20%20%20%20%20%20%20%20%20%20A%20variety%20of%20sensors%20and%20methods%20are%20now%20available%20to%20capture%20detailed%20structural%20and%20functional%20information%20on%20trees%20and%20forests.%20These%20data%20acquisition%20techniques%2C%20along%20with%20their%20derived%20products%2C%20can%20significantly%20enhance%20eLTER%20standard%20observations%20by%20improving%20information%20on%20e.g.%20vegetation%20structure%2C%20biomass%2C%20energy%20flows%20and%20light%20availability.%20Furthermore%2C%20such%20standardised%20and%20scalable%20approaches%20can%20add%20value%20to%20various%20satellite%20missions%20by%20supporting%20the%20calibration%20and%20validation%20of%20satellite-derived%20data%20products.%20%5Cn%20%20%20%20%20%20%20%20%20%20%20%20In%20this%20presentation%2C%20we%20will%20outline%20the%20potential%20data%20products%2C%20documents%20and%20guidelines%20of%20this%20proposed%20service%2C%20discuss%20the%20benefits%20for%20different%20eLTER%20user%20groups%2C%20and%20explore%20its%20role%20in%20improving%20satellite%20data%20calibration%20and%20validation.%22%2C%22date%22%3A%222025-05-28%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.3897%5C%2Faca.8.e156519%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Faca.pensoft.net%5C%2Farticle%5C%2F156519%5C%2F%22%2C%22PMID%22%3A%22%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%222603-3925%22%2C%22language%22%3A%22%22%2C%22collections%22%3A%5B%22MDLREVTX%22%5D%2C%22dateModified%22%3A%222025-12-17T12%3A09%3A09Z%22%7D%7D%2C%7B%22key%22%3A%226W6TENPX%22%2C%22library%22%3A%7B%22id%22%3A2355391%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Gupta%20et%20al.%22%2C%22parsedDate%22%3A%222025-04-14%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1%20%26lt%3B%5C%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3BGupta%2C%20S.K.%2C%20%26lt%3Bstrong%26gt%3BSchulze%2C%20F.%26lt%3B%5C%2Fstrong%26gt%3B%2C%20Gr%26%23xFC%3Bndling%2C%20R.%20and%20Mallast%2C%20U.%20%282025%2C%20April%2014%29%20Drone4Tree%3A%20A%20Cloud-Based%20Geospatial%20Platform%20for%20Large-Scale%20UAV%20Data%20Processing%20and%20Tree%20Canopy%20Detection.%20Poster%2C%20Vienna%2C%20Austria.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-DOIURL%26%23039%3B%20target%3D%26%23039%3B_blank%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2Fhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.5194%5C%2Fegusphere-egu24-18370%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2Fhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.5194%5C%2Fegusphere-egu24-18370%26lt%3B%5C%2Fa%26gt%3B.%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22presentation%22%2C%22title%22%3A%22Drone4Tree%3A%20A%20cloud-based%20geospatial%20platform%20for%20large-scale%20UAV%20data%20processing%20and%20tree%20canopy%20detection%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22presenter%22%2C%22firstName%22%3A%22Sharad%20Kumar%22%2C%22lastName%22%3A%22Gupta%22%7D%2C%7B%22creatorType%22%3A%22presenter%22%2C%22firstName%22%3A%22Franz%22%2C%22lastName%22%3A%22Schulze%22%7D%2C%7B%22creatorType%22%3A%22presenter%22%2C%22firstName%22%3A%22Ralf%22%2C%22lastName%22%3A%22Gr%5Cu00fcndling%22%7D%2C%7B%22creatorType%22%3A%22presenter%22%2C%22firstName%22%3A%22Ulf%22%2C%22lastName%22%3A%22Mallast%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%222025-04-14%22%2C%22sessionTitle%22%3A%22%22%2C%22DOI%22%3A%22https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.5194%5C%2Fegusphere-egu24-18370%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22language%22%3A%22english%22%2C%22collections%22%3A%5B%22MDLREVTX%22%5D%2C%22dateModified%22%3A%222026-06-16T06%3A33%3A10Z%22%7D%7D%5D%7D
1
Schulze, F., Löw, J., Pöhlitz, J. and Conrad, C. (2026, May 7) EO-Based Crop Classification for Rotation Monitoring – Evaluating Temporal Consistency of Operational Models for Sustainable Agricultural Management. Poster, Vienna, Austria. https://doi.org/https://doi.org/10.5194/egusphere-egu26-17883.
1
Ginzler, C., Díaz-Delgado, R., Kükenbrink, D., Kumar Gupta, S., Schulze, F., Gründling, R. and Mallast, U. (2025) From Trees to Data: A Standardised Approach to Forest Monitoring. ARPHA Conference Abstracts, 8, e156519. https://doi.org/10.3897/aca.8.e156519.
1
Gupta, S.K., Schulze, F., Gründling, R. and Mallast, U. (2025, April 14) Drone4Tree: A Cloud-Based Geospatial Platform for Large-Scale UAV Data Processing and Tree Canopy Detection. Poster, Vienna, Austria. https://doi.org/https://doi.org/10.5194/egusphere-egu24-18370.
This translation in English is 89 days and 18 hours older than the original version (Deutsch) and may be slightly outdated. → View original in Deutsch if you are looking for any new developments.