Cal Coopmans

Publications | Abstracts

• Meza-Capcha, K., Torres-Rua, A., Gao, R., Hargreaves, O., Osorio, K., Hipps, L.E, Kopp, K., Christiansen, L., Gowing, I., Coopmans, C., (2022). Estimation of leaf area index in urban turfgrass using high resolution multispectral imagery for the two-source energy balance model. American Geophysical Union

An asterisk (*) at the end of a publication indicates that it has not been peer-reviewed.

Publications | Book Chapters

• Stark, B., Coopmans, C., Chen, Y., (2015). Concept of operations of small unmanned aerial systems: Basis for airworthiness towards personal remote sensing: Handbook of Unmanned Aerial Vehicles. Springer Netherlands
• Coopmans, C., Stark, B., Jensen, A., Chen, Y.Q, McKee, M., (2015). Cyber-physical systems enabled by small unmanned aerial vehicles: Handbook of Unmanned Aerial Vehicles. Springer Netherlands

An asterisk (*) at the end of a publication indicates that it has not been peer-reviewed.

Publications | Journal Articles

Academic Journal

• Coopmans, C., Stockton, S., Schwemmer, N., Vance, C., Beckwith, A.J, Robinson, D.J, (2023). GreatBlue: A 55-Pound Vertical-Takeoff-and-Landing Fixed-Wing sUAS for Science; Systems, Communication, Simulation, Data Processing, Payloads, Package Delivery, and Mission Flight Performance. Journal of Intelligent & Robotic Systems (In Press)
• Gao, R., Torres-Rua, A., Nieto, H., Zahn, E., Hipps, L.E, Kustas, W.P, Alsina, M.M, Bambach, N., Castro, S.J, Prueger, J.H, Alfieri, J., McKee, L.G, White, W.A, Gao, F., McElrone, A.J, Anderson, M., Knipper, K., Coopmans, C., Gowing, I., Agam, N., Sanchez, L., Dokoozlian, N., (2023). ET Partitioning Assessment Using the TSEB Model and sUAS Information across California Central Valley Vineyards. Remote Sensing, 15:3, 756. doi: https://doi.org/10.3390/rs15030756
• Aboutalebi, M., Torres-Rua, A., McKee, M., Kustas, W.P, Nieto, H., Alsina, M.M, White, A., Prueger, J.H, McKee, L., Alfieri, J., Hipps, L.E, Coopmans, C., Sanchez, L., Dokoozlian, N., (2022). Downscaling UAV land surface temperature using a coupled wavelet-machine learning-optimization algorithm and its impact on evapotranspiration. Irrigation Science, 40:4-5, 553-574.
• Gao, R., Torres-Rua, A., Aboutalebi, M., White, W.A, Anderson, M., Kustas, W.P, Agam, N., Alsina, M.M, Alfieri, J., Hipps, L.E, Dokoozlian, N., Nieto, H., Gao, F., McKee, L.G, Prueger, J.H, Sanchez, L., Mcelrone, A.J, Bambach-Ortiz, N., Coopmans, C., Gowing, I., (2022). LAI estimation across California vineyards using sUAS multi-seasonal multi-spectral, thermal, and elevation information and machine learning. Irrigation Science
• Nassar, A., Torres-Rua, A., Hipps, L.E, Kustas, W., McKee, M., Stevens, D.K, Nieto, H., Keller, D., Gowing, I., Coopmans, C., (2022). Using Remote Sensing to Estimate Scales of Spatial Heterogeneity to Analyze Evapotranspiration Modeling in a Natural Ecosystem. Remote Sensing, 14:2
• Gao, R., Torres-Rua, A., Nassar, A., Alfieri, J., Aboutalebi, M., Hipps, L.E, Ortiz, N.B, Mcelrone, A.J, Coopmans, C., Kustas, W., others, , (2021). Evapotranspiration partitioning assessment using a machine-learning-based leaf area index and the two-source energy balance model with sUAV information: Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping VI. Society of Photo-Optical Instrumentation Engineers - Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping VI, 11747, 117470N. *
• Teeneti, C., Pratik, U., Philips, G., Azad, A.A, Greig, M., Zane, R., Bodine, C., Coopmans, C., Z., (2021). System-level approach to designing a smart wireless charging system for power wheelchairs. IEEE Transactions on Industry Applications, 57:5, doi: 10.1109/TIA.2021.3093843
• Nassar, A., Torres-Rua, A., Kustas, W., Alfieri, J., Hipps, L.E, Prueger, J., Nieto, H., Alsina, M.M, White, W., McKee, L., Coopmans, C., Sanchez, L., Dokoozlian, N., (2021). Assessing Daily Evapotranspiration Methodologies from One-Time-of-Day sUAS and EC Information in the GRAPEX Project. Remote Sensing, 13:15, 2887.
• Azad, A., Tavakoli, R., Pratik, U., Varghese, B., Coopmans, C., Pantic, Z., (2020). A Smart Autonomous WPT System for Electric Wheelchair Applications with Free-Positioning Charging Feature. IEEE Journal of Emerging and Selected Topics in Power Electronics, 8:4, 3516-3532.
• Nassar, A., Torres-Rua, A., Kustas, W.P, Nieto, H., McKee, M., Hipps, L.E, Alfieri, J.G, Prueger, J.H, Alsina, M.M, McKee, L.G, Coopmans, C., Sanchez, L., Dokoozlian, N., (2020). Implications of soil and canopy temperature uncertainty in the estimation of surface energy fluxes using TSEB2T and high-resolution imagery in commercial vineyards: Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping V. SPIE Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping V, doi: 10.1117/12.2558715 *
• Nassar, A., Torres-Rua, A., Kustas, W.P, Nieto, H., McKee, M., Hipps, L.E, Alfieri, J.G, Prueger, J.H, Mar Alsina, M., McKee, L.G, Coopmans, C., Sanchez, L., Dokoozlian, N., (2020). To what extent does the Eddy Covariance footprint cutoff influence the estimation of surface energy fluxes using two source energy balance model and high-resolution imagery in commercial vineyards: Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping V. SPIE Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping V, 11414, doi: 10.1117/12.2558777 *
• Torres-Rua, A., Ticlavilca, A.M, Aboutalebi, M., Nieto, H., Alsina, M.M, White, A., Prueger, J.H, Alfieri, J.G, Hipps, L.E, McKee, L.G, Kustas, W.P, Coopmans, C., Dokoozlian, N., (2020). Estimation of evapotranspiration and energy fluxes using a deep-learning-based high-resolution emissivity model and the two-source energy balance model with sUAS information: Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping V. SPIE Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping V, 11414, doi: 10.1117/12.2558824 *
• Nassar, A., Torres-Rua, A., Kustas, W., Nieto, H., McKee, M., Hipps, L.E, Stevens, D.K, Alfieri, J., Prueger, J., Alsina, M.M, McKee, L., Coopmans, C., Sanchez, L., Dokoozlian, N., (2020). Influence of Model Grid Size on the Estimation of Surface Fluxes Using the Two Source Energy Balance Model and sUAS Imagery in Vineyards. Remote Sensing, 12:3, 342. doi: 10.3390/rs12030342
• Philips, G.R, Clark, C., Wallace, J., Coopmans, C., Pantic, Z., Bodine, C., (2020). User-centred design, evaluation, and refinement of a wireless power wheelchair charging system. Disability and Rehabilitation: Assistive Technology
• Aboutalebi, M., Torres-Rua, A., McKee, M., Kustas, W.P, Nieto, H., Alsina, M.M, White, W., Prueger, J.H, McKee, L., Alfieri, J., Hipps, L.E, Coopmans, C., Dokoozlian, N., (2019). Incorporation of Unmanned Aerial Vehicle (UAV) Point Cloud Products into Remote Sensing Evapotranspiration Models. Remote Sensing, 12:1, 50. doi: 10.3390/rs12010050
• Aboutalebi, M., Allen, L., Torres-Rua, A., McKee, M., Coopmans, C., (2019). Estimation of soil moisture at different soil levels using machine learning techniques and unmanned aerial vehicle (UAV) multispectral imagery: Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping IV. SPIE Autonomus Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping, 11008, 110080S. *
• Torres-Rua, A., Aboutalebi, M., Wright, T., Nassar, A., Guillevic, P., Gao, F., Hipps, L.E, Jim, K., Alsina, M., Nieto, H., Coopmans, C., McKee, M., Kustas, W., (2019). Estimation of surface thermal emissivity in a vineyard for UAV microbolometer thermal cameras using NASA HyTES hyperspectral thermal, and landsat and AggieAir optical data. SPIE Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping *
• Aboutalebi, M., Torres-Rua, A., McKee, M., Nieto, H., Kustas, W., Coopmans, C., (2019). The impact of shadows on partitioning of radiometric temperature to canopy and soil temperature based on the contextual two-source energy balance model (TSEB-2T): Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping IV. SPIE, 11008, 1100804. *
• Aboutalebi, M., Torres-Rua, A., McKee, M., Kustas, W., Nieto, H., Coopmans, C., (2019). Validation of digital surface models (DSMs) retrieved from unmanned aerial vehicle (UAV) point clouds using geometrical information from shadows: Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping IV. SPIE, 11008, 110080L. *
• Dorafshan, S., Thomas, R.J, Coopmans, C., Maguire, M., (2019). A practitioner's guide to small unmanned aerial systems for bridge inspection. Infrastructures, 4:4
• Aboutalebi, M., Torres-Rua, A., Kustas, W.P, Nieto, H\'ector, , Coopmans, C., McKee, M., (2019). Assessment of different methods for shadow detection in high-resolution optical imagery and evaluation of shadow impact on calculation of NDVI, and evapotranspiration. Irrigation science, 37:3, 407.
• Torres-Rua, A., Nieto, H., Parry, C., Elarab, M., Collatz, W., Coopmans, C., McKee, L., McKee, M., Kustas, W., (2018). Inter-comparison of thermal measurements using ground-based sensors, UAV thermal cameras, and eddy covariance radiometers: Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping III. SPIE, 10664, 106640E. *
• Aboutalebi, M., Torres-Rua, A., McKee, M., Kustas, W., Nieto, H., Coopmans, C., (2018). Behavior of vegetation/soil indices in shaded and sunlit pixels and evaluation of different shadow compensation methods using UAV high-resolution imagery over vineyards: Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping III. SPIE, doi: 10.1117/12.2305883 *
• Hoffer, N.V, Coopmans, C., Jensen, A.M, Chen, Y., (2014). A survey and categorization of small low-cost unmanned aerial vehicle system identification. Journal of Intelligent and Robotic Systems: Theory and Applications, 74:1-2, 129-145.
• Podhradský, M., Coopmans, C., Jensen, A., (2014). Battery state-of-charge based altitude controller for small, low cost multirotor unmanned aerial vehicles. Journal of Intelligent and Robotic Systems: Theory and Applications, 74:1-2, 193-207.
• Coopmans, C., Jensen, A.M, Chen, Y., (2014). Fractional-order complementary filters for small unmanned aerial system navigation. Journal of Intelligent and Robotic Systems: Theory and Applications, 73:1-4, 429-453.
• Han, J., Di, L., Coopmans, C., Chen, Y., (2014). Pitch loop control of a VTOL UAV using fractional order controller. Journal of Intelligent and Robotic Systems: Theory and Applications, 73:1-4, 187-195.
• Stark, B., Coopmans, C., Chen, Y.Q, (2013). Concept of operations for personal remote sensing unmanned aerial systems. Journal of Intelligent and Robotic Systems: Theory and Applications, 69:1-4, 5-20.
• Sheng, H., Sun, H.G, Coopmans, C., Chen, Y., Bohannan, G.W, (2011). A Physical experimental study of variable-order fractional integrator and differentiator. European Physical Journal: Special Topics, 193:1, 93-104.

An asterisk (*) at the end of a publication indicates that it has not been peer-reviewed.

Publications | MultiMedia

Software

• Aboutalebi, M., Torres-Rua, A., McKee, M., Kustas, W., Nieto, H., Hipps, L.E, Coopmans, C., (2019). Vegetation Spectral-Structural Information eXtraction Algorithm (VSSIXA). GitHub

An asterisk (*) at the end of a publication indicates that it has not been peer-reviewed.

Publications | Other

An asterisk (*) at the end of a publication indicates that it has not been peer-reviewed.