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


  • Earth and Planetary Sciences

    • Model
    • Cartography
    • Investigation
    • Evapotranspiration
    • Remote Sensing
    • Farmland
    • Datum
    • Phenology


Associate professor of crop resilience and sustainable land use:

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


A method for estimating physical and economic food access at high spatial resolutionFood security (E-pub ahead of print/First online). Campomanes, F. V., Marshall, M. & Nelson, A.https://doi.org/10.1007/s12571-023-01404-1Association of catchment characteristics to Budyko hydrologic model’s uncertainty in humid catchmentsIn Remote Sensing for Agriculture, Ecosystems, and Hydrology XXV, Article 127270W. SPIE. Zhang, L., Marshall, M., Vrieling, A. & Nelson, A.https://doi.org/10.1117/12.2679836Biogeographic limits of C4 engineered rice. Research Square Publications. Marshall, M., Haridasan, D., Florencio, C. V., Tol, C. v. d., Vrieling, A., Tu, K., Zhang, L. & Nelson, A.https://doi.org/10.21203/rs.3.rs-3333949/v1Detecting the long-term spatiotemporal crop phenology changes in a highly fragmented agricultural landscapeAgricultural and forest meteorology, 340, Article 109601. Tilahun, B. S., Marshall, M., Mengistu, D. & Nelson, A.https://doi.org/10.1016/j.agrformet.2023.109601The divergence of energy- and water-balance evapotranspiration estimates in humid regionsJournal of hydrology, 624, Article 129971. Zhang, L., Marshall, M., Vrieling, A. & Nelson, A.https://doi.org/10.1016/j.jhydrol.2023.129971PRISMA and Sentinel-2 spectral response to the nutrient composition of grainsRemote sensing of environment, 292, Article 113567. Belgiu, M., Marshall, M., Boschetti, M., Pepe, M., Stein, A. & Nelson, A.https://doi.org/10.1016/j.rse.2023.113567Cropland mapping in tropical smallholder systems with seasonally stratified Sentinel-1 and Sentinel-2 spectral and textural featuresRemote sensing, 15(12), Article 3014, 1-20. Trivedi, M. B., Marshall, M., Estes, L., de Bie, C. A. J. M., Chang, L. & Nelson, A.https://doi.org/10.3390/rs15123014

Research profiles

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

European Space Agency

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


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


  • Enhancing ECOSTRESS drought monitoring with hyperspectral narrowbands, PI


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


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

         Research and Development Facility



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

         Digital Bangladesh

  • Ethiopian Education Network to Support Agricultural Transformation



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


University of Twente

Langezijds (building no. 19), room 1127
Hallenweg 8
7522 NH Enschede

Navigate to location


Scan the QR code or
Download vCard