Riaño, David


David Riaño Ph.D.

David Riaño (Ph.D) is a Project Scientist at CSTARS with research interests in environmental applications and remote sensing, focusing on studies of natural hazards, agricultural management, the carbon budget and water cycle in the context of climate change.





Current Projects



Greenberg, J.A., Hestir, E.L., Riaño, D., Scheer, G.J., & Ustin, S.L. (2012). Using LiDAR data analysis to estimate changes in insolation under large-scale riparian deforestation. Journal Of The American Water Resources Association in press

Casas, A., Riaño, D., Greenberg, J., & Ustin, S.L. (2012). Assessing levee stability with geometric parameters derived from airborne LiDAR. Remote Sensing of Environment, 117, 281­288

García, M., Popescu, S.C., Riaño, D., Zhao, K., Neuenschwander, A., Agca, M., & Chuvieco, E. (2012). Characterization of canopy fuels using ICESat/GLAS data. Remote Sensing of Environment, 123, 81-89

Moreno Ruiz, J.A., Riaño, D., Arbelo, M., French, N.H.F., Ustin, S.L., & Whiting, M.L. (2012). Burned area mapping time series in Canada(1984-1999) from NOAA-AVHRR LTDR: A comparison with other remote sensing products and fire perimeters. Remote Sensing of Environment, 117, 407­414

Rodriguez, J.M., Ustin, S.L., & Riaño, D. (2011). Contributions of imaging spectroscopy to improve estimates of evapotranspiration. Hydrological Processes 25, 4069­4081

Kasischke, E.S., Loboda, T., Giglio, L., French, N.H.F., Hoy, E.E., de Jong, B., & Riaño, D. (2011). Quantifying burned area for North American forests ­ implications for direct reduction of carbon stocks. Journal of Geophysical Research-Biogeosciences, 116, 1-17

García, M., Danson, F.M., Riaño, D., Chuvieco, E., Ramirez, F.A., & Bandugula, V. (2011). Terrestrial laser scanning to estimate plot-level forest canopy fuel properties.International Journal of Applied Earth Observation and Geoinformation, 13, 636–645

García, M., Riaño, D., Chuvieco, E., Salas, F.J., & Danson, F.M. (2011). Multispectral and LiDAR data fusion for fuel type mapping using support vector machine and decision rules. Remote Sensing of Environment, 115, 1369-1379

Martín, M.P., Barreto, L., Riaño, D., Fernández-Quintanilla, C., & Vaughan, P. (2011). Assessing the potential of hyperspectral remote sensing for the discrimination of grassweeds in winter cereal crops. International Journal of Remote Sensing, 32, 49–67

García, M., Riaño, D., Chuvieco, E., & Danson, F.M. (2010). Estimating biomass carbon stocks for a Mediterranean forest in central Spain using height and intensity LiDAR data. Remote Sensing of Environment 114, 816-830

Cuevas-González, M., Gerard, F., Balzter, H., & Riaño, D. (2009). Analysing forest recovery after wildfire disturbance in boreal Siberia using remotely sensed vegetation indices. Global Change Biology 15, 561–577

Malmstrom, C.M., Butterfield, H.S., Barber, C., Dieter, B., Harrison, R., Qi, J., Riaño, D., Schrotenboer, A., Stone, S., & Stoner, C.J. (2009). Using remote sensing to evaluate the influence of grassland restoration activities on ecosystem forage provisioning services.Restoration Ecology 17, 526-538

Moreno Ruiz, J.A., Riaño, D., García Lázaro, J.R., & Ustin, S.L. (2009). Intercomparison of AVHRR PAL and LTDR Version 2 Long Term Datasets for Africa from 1982 to 2000 and Its Impact on Mapping Burned Area. IEEE Geoscience and Remote Sensing Letters, 6, 738-742

Cheng, Y.B., Ustin, S.L., Riaño, D., & Vanderbilt, V.C. (2008). Water Content Estimation from Hyperspectral Images and MODIS Indexes in Southeastern Arizona. Remote Sensing of Environment 112, 363-374

Cuevas-González, M., Gerard, F., Balzter, H., & Riaño, D. (2008). Studying the change in fAPAR after forest fires in Siberia using MODIS. International Journal of Remote Sensing 29, 6873-6892

Li, L., Cheng, Y.B., Ustin, S.L., Hua, X.T., & Riaño, D. (2008). Retrieval of vegetation equivalent water thickness from reflectance using genetic algorithm (GA)-partial least squares (PLS) regression. Advances in Space Research 41, 1755-1763

Trombetti, M., Riaño, D., Rubio, M.A., Cheng, Y.B., & Ustin, S.L. (2008). Multitemporal vegetation canopy water content retrieval using Artificial Neural Networks for the USA.Remote Sensing of Environment 112, 203–215

Yebra, M., Chuvieco, E., & Riaño, D. (2008). Estimation of live Fuel Moisture Content from MODIS images for fire risk assessment. Agricultural and Forest Meteorology 148, 523-536

Chuvieco, E., De Santis, A., Riaño, D., & Halligan, K. (2007). Simulation approaches for burn severity estimation using remotely sensed images. Fire Ecology, 3, 129-150

Khanna, S., Palacios-Orueta, A., Whiting, M.L., Riaño, D., Litago, J., & Ustin, S.L. (2007). Development of Angle Indexes for Soil Moisture Estimation, Dry Matter Detection and Land-Cover Discrimination. Remote Sensing of Environment 109, 154–165

Li, L., Ustin, S.L., & Riaño, D. (2007). Retrieval of Fresh Leaf Fuel Moisture Content Using Genetic Algorithm – Partial Least Squares Modeling (GA-PLS). IEEE Geoscience and Remote Sensing Letters, 4, 216-220

Riaño, D., Chuvieco, E., Ustin, S.L., Salas, F.J., Rodríguez-Pérez, J.R., Ribeiro, L.M., Viegas, D.X., Moreno, J.M., & Fernández, H. (2007). Estimation of shrub height for fuel type mapping combining airborne lidar and simultaneous colour infrared images.International Journal of Wildland Fire  16, 341–348

Riaño, D., Moreno Ruiz, J.A., Barón-Martínez, J., & Ustin, S.L. (2007). Burned area surface forecasting using past burned area surface records and Southern Oscillation Index for tropical Africa (1981-1999). Remote Sensing of Environment 107, 571–581

Riaño, D., Moreno Ruiz, J.A., Isidoro, D., & Ustin, S.L. (2007). Spatial and temporal patterns of burned area at global scale between 1981-2000 using NOAA-NASA Pathfinder. Global Change Biology 13, 40–50

Rodríguez Pérez, J.R., Riaño, D., Carlisle, E., Ustin, S.L., & Smart, D.R. (2007). Remote sensing of grapevine water status in vineyards using hyperspectral reflectance indices.American Journal of Enology and Viticulture  58, 302-317

Cheng, Y.B., Zarco-Tejada, P.J., Riaño, D., Rueda, C.A., & Ustin, S.L. (2006). Estimating vegetation water content with hyperspectral data for different canopy scenarios: Relationships between AVIRIS and MODIS indexes. Remote Sensing of Environment 105, 354-366

Chuvieco, E., Riaño, D., Danson, F.M., & Martín, M.P. (2006). Use of radiative transfer models to simulate reflectance of burn severity values. Journal of Geophysical Research-Biogeosciences, 111, G04S09, doi:10.1029/2005JG000143, 1-15

Riaño, D., Ustin, S.L., Usero, L., & Patricio, M.A. (2005). Estimation of fuel moisture content using neural networks. Lecture Notes in Computer Science  3562, 489-498

Riaño, D., Vaughan, P., Chuvieco, E., Zarco-Tejada, P.J., & Ustin, S.L. (2005). Estimation of fuel moisture content by inversion of radiative transfer models to simulate equivalent water thickness and dry matter content. Analysis at leaf and canopy level. IEEE Transactions on Geoscience and Remote Sensing 43, 819-826

Chuvieco, E., Cocero, D., Riaño, D., Martin, P., Martínez-Vega, J., de la Riva, J., & Pérez, F. (2004). Combining NDVI and Surface Temperature for the estimation of live fuels moisture content in forest fire danger rating. Remote Sensing of Environment 92, 322-331

Riaño, D., Chuvieco, E., Condés, S., González-Matesanz, J., & Ustin, S.L. (2004). Generation of crown bulk density for Pinus sylvestris L. from lidar. Remote Sensing of Environment 92, 345-352

Riaño, D., Valladares, F., Condés, S., & Chuvieco, E. (2004). Estimation of leaf area index and covered ground from airborne laser scanner (Lidar) in two contrasting forests.Agricultural and Forest Meteorology 124, 269-275

Chuvieco, E., Aguado, I., Cocero, D., & Riaño, D. (2003). Design of an Empirical Index to Estimate Fuel Moisture Content from NOAA-AVHRR Analysis In Forest Fire Danger Studies. International Journal of Remote Sensing 24, 1621-1637

Riaño, D., Chuvieco, E., Salas, F.J., & Aguado, I. (2003). Assessment of different topographic corrections in Landsat-TM data for mapping vegetation types. IEEE Transactions on Geoscience and Remote Sensing 41, 1056-1061

Riaño, D., Meier, E., Allgöwer, B., Chuvieco, E., & Ustin, S.L. (2003). Modeling airborne laser scanning data for the spatial generation of critical forest parameters in fire behavior modeling. Remote Sensing of Environment 86, 177-186

Chuvieco, E., Riaño, D., Aguado, I., & Cocero, D. (2002). Estimation of fuel moisture content from multitemporal analysis of Landsat Thematic Mapper reflectance data: applications in fire danger assessment. International Journal of Remote Sensing 23, 2145-2162

Riaño, D., Chuvieco, E., Salas, J., Palacios-Orueta, A., & Bastarrika, A. (2002). Generation of fuel type maps from Landsat TM images and ancillary data in Mediterranean ecosystems. Canadian Journal of Forest Research-Revue Canadienne de Recherche Forestier 32, 1301-1315

Riaño, D., Chuvieco, E., Ustin, S.L., Zomer, R., Dennison, P., Roberts, D., & Salas, J. (2002). Assessment of vegetation regeneration after fire through multitemporal analysis of AVIRIS images in the Santa Monica Mountains. Remote Sensing of Environment 79, 60-71


David Riaño
Center for Spatial Technologies and Remote Sensing (CSTARS)
233 Veihmeyer Hall/ One Shields Avenue
University of California, Davis, CA 95616-8617
Phone: 1-(619) 795-0982