Willem van Leeuwan
Willem J.D. van Leeuwen
Director, Arizona Remote Sensing Center
Associate Professor, School of Natural Resources and the Environment
Associate Professor, School of Geography and Development
Chair, Remote Sensing and Spatial Analysis Graduate Interdisciplinary Program
(520) 626-0058
Ph.D., 1995, University of Arizona, Dept. of Soil, Water and Environmental Science

Wim van Leeuwen has been a research scientist and a member of the MODIS land science team, has worked on global spectral vegetation index and albedo products and algorithm development in the US and France. He is an Associate Professor in the School of Natural Resources and the Environment & the School of Geography and Development at the University of Arizona, Tucson. He has more than 20 years of geospatial research and remote sensing science experience and is the director of the Arizona Remote Sensing Center at the University of Arizona. His research interests focus on multi-platform remote sensing data fusion and geospatial product development for resource monitoring, management and decision making. Applied research projects include land surface phenology in response to climate and environmental factors, natural and agricultural land use/cover change and snow/water resources, wildlife habitat characterization, and web-based geospatial applications such as Droughtview.arizona.edu.

Selected Citations: 

https://scholar.google.com/citations?user=U-oNujMAAAAJ&hl=en

Jin Wu, Cecilia Chavana-Bryant, Neill Prohaska, Shawn P. Serbin, Kaiyu Guan, Loren P. Albert, Xi Yang, Willem J.D. van Leeuwen, Anthony John Garnello, Giordane Martins, Yadvinder Malhi, France Gerard, Raimundo Cosme Oliviera, and Scott R. Saleska, 2016 Convergence in relations among leaf traits, spectra and age across diverse canopy environments and two contrasting tropical forests, New Phytol. 2016 Jul 6. doi: 10.1111/nph.14051

Xu, C., Zeng, W., Huang, J., Wu, J. and Willem J.D.van Leeuwen, 2016. Prediction of Soil Moisture Content and Soil Salt Concentration from Hyperspectral Laboratory and Field Data. Remote Sensing 8: 42.

Czyzowska-Wisniewski, E. H., Willem J. D. van Leeuwen, K. K. Hirschboeck, S. E. Marsh, and W. T. Wisniewski. 2015. Fractional snow cover estimation in complex alpine-forested environments using an artificial neural network. Remote Sensing of Environment, 156:403-417. doi:10.1016/j.rse.2014.09.026.
Flesch, A. D., Hutto, R. L., van Leeuwen, Willem J. D., Hartfield, K. and Jacobs, S. 2015. Spatial, Temporal, and Density-Dependent Components of Habitat Quality for a Desert Owl. PloS one 10: e0119986.

Romo-Leon, J.R., Willem J.D. van Leeuwen, and A. Castellanos-Villegas, Land Use and Environmental Variability Impacts on the Phenology of Arid Agro-Ecosystems. Environmental Management, 2015: p. 1-15.
Shepard, C., M. G. Schaap, M. A. Crimmins, Willem J. D. van Leeuwen, and C. Rasmussen. 2015. Subsurface soil textural control of aboveground productivity in the US Desert Southwest. Geoderma Regional 4:44-54. doi:10.1016/j.geodrs.2014.12.003.

Carrière, Y., B. Degain, K. A. Hartfield, K. D. Nolte, S. E. Marsh, C. Ellers-Kirk, Willem J.D. van Leeuwen, L. Liesner, P. Dutilleul, and J. C. Palumbo, 2014. Assessing Transmission of Crop Diseases by Insect Vectors in a Landscape Context. Journal of Economic Entomology, Forum, 107:1-10. http://dx.doi.org/10.1603/EC13362.

Romo Leon, J. R., Willem J.D. van Leeuwen, A. Catellanos-Villegas, 2014. Using Remote Sensing Tools to Assess Land Use Transitions in Unsustainable Arid Agroecosystems. Journal of Arid Environments, 106:27-35. doi:10.1016/j.jaridenv.2014.03.002.

Sanchez-Mejia, Z. M., S. A. Papuga, J. B. Swetish, Willem J. D. van Leeuwen, D. Szutu, and K. Hartfield. 2014. Quantifying the influence of deep soil moisture on ecosystem albedo: The role of vegetation. Water Resources Research 50:4038-4053.

van Leeuwen, Willem J.D., Kyle Hartfield, Marcelo Miranda, Francisco J. Meza, 2013. Trends and ENSO/AAO driven variability in NDVI derived productivity and phenology alongside the Andes Mountains. In: Monitoring Global Vegetation with AVHRR NDVI3g Data (1981-2011), Remote Sens., In Press.

Casady, G.M., Willem J.D. van Leeuwen, Reed, B.C., 2013. Estimating Winter Annual Biomass in the Sonoran and Mojave Deserts with Satellite- and Ground-Based Observations. Remote Sens., 5, 909-926.

Landau, K.I. MA, Willem J.D. van Leeuwen, 2012. Fine scale spatial urban land cover factors associated with adult mosquito abundance and risk in Tucson, Arizona. Journal of Vector Ecology, 37(2):407-418.

Kariyeva, J. , Willem J. D. van Leeuwen, C. A. Woodhouse, 2012. Impacts of climate gradients on the vegetation phenology of major land use types in Central Asia (1981-2008) Frontiers of Earth Science, 6(2):206-225.

Kariyeva, J. , Willem J.D. van Leeuwen, 2012. Phenological dynamics of irrigated and natural drylands in Central Asia before and after the USSR collapse. Agriculture, Ecosystems & Environment, 162, 77-89.

Romo Leon, J. R., Willem J.D. van Leeuwen, G. M. Casady, 2012. Using MODIS-NDVI for the Modeling of Post-Wildfire Vegetation Response as a Function of Environmental Conditions and Pre-Fire Restoration Treatments. Remote Sensing. 4(3): 598-621.

Villarreal, M.L., Willem J.D. van Leeuwen, Jose Raul Romo-Leon. 2012. Mapping and monitoring riparian vegetation distribution, structure and composition with regression tree models and post-classification change metrics, International Journal of Remote Sensing, 33:13, 4266-4290

Hartfield, K.A., Landau, Katheryn I., Willem J.D. van Leeuwen, 2011. Fusion of High Resolution Aerial Multispectral and LiDAR Data: Land Cover in the Context of Urban Mosquito Habitat. Remote Sensing, 3(11): 2364-2383.

van Leeuwen, Willem J.D, Chuck Hutchinson, Sam Drake, Brad Doorn, Verne Kaupp, Tim Haithcoat, Vladislav Likholetov, Ed Sheffner, and Dave Tralli, 2011. Benchmarking enhancements to a decision support system for global crop production, Expert Systems with Applications 38(7): 8054-806.

Kariyeva, Jahan, and Willem J.D. van Leeuwen, 2011. Environmental Drivers of NDVI-based Vegetation Dynamics in Central Asia, Special Issue Remote Sensing in Climate Monitoring and Analysis - Remote Sensing, 3(2), 203-246.

Davison, J.E., Breshears, D.D., van Leeuwen, W.J.D., & Casady, G.M., 2011. Remotely sensed vegetation phenology and productivity along a climatic gradient: on the value of incorporating the dimension of woody plant cover. Global Ecology and Biogeography, 20, 101–113.

Casady, G.M., Willem J.D. van Leeuwen, S.E. Marsh. 2010. Evaluating post wildfire vegetation dynamics as a response to multiple environmental determinants. Environmental Modeling and Assessment. 15(5): 295-307.

van Leeuwen, Willem J.D., Davison J.E., Casady, G.M., and Marsh S.E., 2010. Phenological Characterization of Desert Sky Island Vegetation Communities with Remotely Sensed and Climate Time Series Data. Remote Sens., 2, 388-415.

van Leeuwen, Willem J.D., G. M. Casady, D. G. Neary, S. Bautista, J. A. Alloza, Y. Carmel, L. Wittenberg, D. Malkinson, B. J. Orr, 2010. Monitoring post-wildfire vegetation response with remotely sensed time-series data in Spain, USA and Israel. International Journal of Wildland Fire, 19: 75-93.

van Leeuwen, Willem J.D., 2009. Chapter 3: Visible, Near-IR & Shortwave IR Spectral Characteristics of Terrestrial Surfaces. In: Handbook of Remote Sensing. Editors: T. Warner, D. Nellis and G. Foody. SAGE. 33-50.

Research Themes: 
Climate and Adaptation
GIS
Land use
Phenology
Range management
Remote sensing
Informatics, Modeling, and Remote Sensing
Algorithm development
Data analysis
Data cleaning and information extraction
Data mining
Data visualization
Data-fusion technology
Decision support
GIS
Geography
Informatics
Mapping
Modeling and simulation
Natural Environment and Biodiversity
Arid lands
Ecosystem disturbances
Ecosystem restoration
Erosion and sedimentation
Fire ecology
GIS
Geography
Land use change
Landscape restoration
Modeling and simulation
Natural resource management
Phenology
Rangelands
Remote sensing
Sky Islands
Terrestrial ecology
Public Health
Geography
Urban Environment
GIS
Land use change
Landscape studies
Water
Agriculture
Arid lands
Ecohydrology
Hydrology
Modeling and simulation
Remote sensing
Watershed hydrology

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