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dr. M.T. Marshall (Michael)

Associate Professor

About Me

I seek to improve our understanding of crop carbon and water exchange from field to global scales. I answer my research questions with models that capture the spatio-temporal dynamics of agricultural production (area × yield) and evapotranspiration. The models are: (i) implemented in a Geographic Information System; (ii) based on principles of light-use efficiency and machine-learning; and (iii) driven by Earth observation, climate reanalysis, and other geospatial information. The work flow reduces uncertainties in crop models and improves agricultural monitoring systems, as well as motivates my teaching and capacity-building activities. The long-term impact of my work is increased agricultural production, enhanced resilience of crops to drought and other climate shocks, and reduced CO2 emissions caused by agricultural expansion into natural ecosystems. Such outcomes help achieve Sustainable Development Goal SDG-2 (“Zero Hunger”), SDG-6 (“Clean Water and Sanitation”), SDG-13 (“Climate Action”), and SDG-15 (“Life on Land”).

Editor of Agricultural and Forest Meteorology

Expertise

Earth & Environmental Sciences
# Agricultural Ecosystem
# Crop
# Phenology
# Remote Sensing
# Vegetation Index
Agriculture & Biology
# Agroecosystems
# Phenology
# Remote Sensing

Organisations

Research

Associate professor in crop resilience and sustainable land use:

  • Food security analysis
  • Land surface processes
  • Multispectral and hyperspectral remote sensing
  • Knowledge-based, machine learning model hybridization

Publications

Recent
Sisheber, B. , Marshall, M., Mengistu, D. , & Nelson, A. (2024). Assimilation of Earth Observation data for crop yield estimation in smallholder agricultural systems. IEEE Journal of selected topics in applied earth observations and remote sensing, 17, 557-572. https://doi.org/10.1109/jstars.2023.3329237
Zhang, L. , Marshall, M. , Vrieling, A. , & Nelson, A. (2023). Association of catchment characteristics to Budyko hydrologic model’s uncertainty in humid catchments. In C. M. Neale, & A. Maltese (Eds.), Remote Sensing for Agriculture, Ecosystems, and Hydrology XXV (Vol. 12727). Article 127270W SPIE. https://doi.org/10.1117/12.2679836
Montibeller, B. , Marshall, M., Mander, Ü., & Uuemaa, E. (2022). Increased carbon assimilation and efficient water usage may not compensate for carbon loss in European forests. Communications Earth and Environment, 3(1), Article 194. https://doi.org/10.1038/s43247-022-00535-1
Marshall, M. , Belgiu, M., Boschetti, M., Pepe, M. , Stein, A. , & Nelson, A. (2022). Field-level crop yield estimation with PRISMA and Sentinel-2. ISPRS journal of photogrammetry and remote sensing, 187, 191-210. https://doi.org/10.1016/j.isprsjprs.2022.03.008

UT Research Information System

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Google Scholar Link

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Education

I grew up in the Mojave Desert where a few spectacular weeks a year a wanderer’s senses are stimulated by the unique smells of thirst-quenched soil and sudden wildflower blooms. These early experiences and my exposure to amazing educators influenced me profoundly. Consequently, I am driven to understand how we impact our environment and to help students discover their own passion in this regard.

Past Webinar

Monitoring Rangeland Carrying Capacity with EO

Noy-Meir Carrying Capacity Calculation

Supplementary Reading

Ungar (2019)

de Leeuw et al. (2019)

Courses Academic Year  2023/2024

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.
 

Courses Academic Year  2022/2023

Projects

European Space Agency

  • Continental Demonstrator LUISA: Land Use Intensity's Potential, Vulnerability and Resilience for Sustainable Agriculture in Africa, PI

         LUISA

  • Agriculture Science Precursors Theme 1 - “Hidden Hunger”, Co-PI

         EO4NUTRI

  • Enhancing ECOSTRESS drought monitoring with hyperspectral narrowbands, PI

         HyRelief

  • Sensing “Hidden Hunger” with Sentinel-2 and hyperspectral (PRISMA), Co-PI

         HyNutri

  • African Framework for Research Innovation, Communities and Applications in Earth Observation (EO-Africa)

         Research and Development Facility

 

Nuffic

  • Tailor-Made Training Plus (TMT+) for Bangladesh

         Digital Bangladesh

  • Ethiopian Education Network to Support Agricultural Transformation

         EENSAT

 

Ministry of Agriculture, Food and Rural Affairs (Government of South Korea)

  • Statistics from Space: Next-Generation Agricultural Production Information for Enhanced Monitoring of Food Security in Mozambique

         Ag Stats

 

Contact Details

 
 

Visiting Address

University of Twente
Faculty of Geo-Information Science and Earth Observation
Langezijds (building no. 19), room 1127
Hallenweg 8
7522NH  Enschede
The Netherlands

Mailing Address

University of Twente
Faculty of Geo-Information Science and Earth Observation
Langezijds  1127
P.O. Box 217
7500 AE Enschede
The Netherlands

Organisations

Social Media

University of Twente Drienerlolaan 5
7522 NB Enschede
+31 (0)53 489 9111
info@utwente.nl
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