Personal profile
Research Interests
Jessica Mitchell joined the Spatial Analysis Lab as director in 2018. Her interests combine remote sensing with environmental assessment experience to advance new techniques for analyzing impacts and land management decision making. She is currently evaluating methods for scaling vegetation structure, canopy chemistry and biodiversity variables from leaves and individuals to plots, landscapes and regions. Some of the data she works with are traditional plot-based measurements; ground and airborne laser scanning (lidar) and reflectance spectroscopy estimates; and time-series satellite observations. Vegetation applications include mapping plant chemistry and forage quality; linking plant diversity across trait, species, functional and environmental variables; developing scalable high-resolution shrub structure products; coordinating teams to quantify the impacts of habitat decline on environmental and socio-economic resources; and advancing spectral digitization of plant collections.
Education/Academic qualification
Master, Geographic Information Science, Idaho State University
PhD, Geosciences, Idaho State University
Bachelor, Geography and Environmental Systems, University of Maryland, Baltimore County
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being
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SDG 13 Climate Action
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SDG 15 Life on Land
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Collaborations and top research areas from the last five years
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A Deep-Learning Workflow for CORONA-Based Historical Land Use Classifications
Liu, W., Li, S., Fan, D., Wen, Y., Madson, A., Mitchell, J., He, Y. & Yang, D., 2025, In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18, p. 16066-16080 15 p.Research output: Contribution to journal › Article › peer-review
Open Access3 Scopus citations -
An ecosystem resilience index that integrates measures of vegetation function, structure, and composition
Johnson, M., Ballantyne, A., Graham, J., Holden, Z., Hoylman, Z., Jensco, K., Ketchum, D., Kimball, J. & Mitchell, J., Feb 2025, In: Ecological Indicators. 171, 113076.Research output: Contribution to journal › Article › peer-review
Open Access10 Scopus citations -
Crowdsourcing Geospatial Data for Earth and Human Observations: A Review
Huang, X., Wang, S., Yang, D., Hu, T., Chen, M., Zhang, M., Zhang, G., Biljecki, F., Lu, T., Zou, L., Wu, C. Y. H., Park, Y. M., Li, X., Liu, Y., Fan, H., Mitchell, J., Li, Z. & Hohl, A., Jan 2024, In: Journal of Remote Sensing (United States). 4, 0105.Research output: Contribution to journal › Review article › peer-review
Open Access50 Scopus citations -
Land cover mapping via crowdsourced multi-directional views: The more directional views, the better
Huang, X., Yang, D., He, Y., Nelson, P., Low, R., McBride, S., Mitchell, J. & Guarraia, M., Aug 2023, In: International Journal of Applied Earth Observation and Geoinformation. 122, 103382.Research output: Contribution to journal › Article › peer-review
Open Access12 Scopus citations -
Evaluation of vegetation indices and imaging spectroscopy to estimate foliar nitrogen across disparate biomes
Farella, M. M., Barnes, M. L., Breshears, D. D., Mitchell, J., van Leeuwen, W. J. D. & Gallery, R. E., Mar 2022, In: Ecosphere. 13, 3, e3992.Research output: Contribution to journal › Article › peer-review
Open Access12 Scopus citations