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David Riaño 0002
Person information
- affiliation: University of California, Davis, Center for Spatial Technologies and Remote Sensing (CSTARS), CA, USA
- affiliation: Spanish National Research Council (CSIC), Institute of Economics and Geography, Madrid, Spain
Other persons with the same name
- David Riaño 0001
— Universitat Rovira i Virgili, Tarragona, Spain
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2020 – today
- 2021
- [j15]Xingwen Quan
Global fuel moisture content mapping from MODIS. Int. J. Appl. Earth Obs. Geoinformation 101: 102354 (2021) - 2020
- [j14]Vicente Burchard-Levine
Seasonal Adaptation of the Thermal-Based Two-Source Energy Balance Model for Estimating Evapotranspiration in a Semiarid Tree-Grass Ecosystem. Remote. Sens. 12(6): 904 (2020) - [j13]John Gajardo, David Riaño
Estimation of Canopy Gap Fraction from Terrestrial Laser Scanner Using an Angular Grid to Take Advantage of the Full Data Spatial Resolution. Remote. Sens. 12(10): 1596 (2020) - [j12]Mariano García
A Live Fuel Moisture Content Product from Landsat TM Satellite Time Series for Implementation in Fire Behavior Models. Remote. Sens. 12(11): 1714 (2020)
2010 – 2019
- 2019
- [j11]Margarita Huesca, David Riaño, Susan L. Ustin
Spectral mapping methods applied to LiDAR data: Application to fuel type mapping. Int. J. Appl. Earth Obs. Geoinformation 74: 159-168 (2019) - 2018
- [j10]José R. García-Lázaro
Estimation of Burned Area in the Northeastern Siberian Boreal Forest from a Long-Term Data Record (LTDR) 1982-2015 Time Series. Remote. Sens. 10(6): 940 (2018) - [j9]José Ramón Melendo-Vega, María Pilar Martín
Improving the Performance of 3-D Radiative Transfer Model FLIGHT to Simulate Optical Properties of a Tree-Grass Ecosystem. Remote. Sens. 10(12): 2061 (2018) - [c4]Marta Yebra
Mapping Live Fuel Moisture Content and Flammability for Continental Australia Using Optical Remote Sensing. IGARSS 2018: 5903-5906 - 2014
- [j8]Javier Pacheco-Labrador, Rosario González-Cascón
Understanding the optical responses of leaf nitrogen in Mediterranean Holm oak (Quercus ilex) using field spectroscopy. Int. J. Appl. Earth Obs. Geoinformation 26: 105-118 (2014) - [j7]Lidia Vlassova, Fernando Perez-Cabello
Assessment of Methods for Land Surface Temperature Retrieval from Landsat-5 TM Images Applicable to Multiscale Tree-Grass Ecosystem Modeling. Remote. Sens. 6(5): 4345-4368 (2014) - [j6]José Andrés Moreno Ruiz
The Synergy of the 0.05° (~5km) AVHRR Long-Term Data Record (LTDR) and Landsat TM Archive to Map Large Fires in the North American Boreal Region From 1984 to 1998. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(4): 1157-1166 (2014) - 2011
- [j5]Mariano García
Terrestrial laser scanning to estimate plot-level forest canopy fuel properties. Int. J. Appl. Earth Obs. Geoinformation 13(4): 636-645 (2011) - 2010
- [c3]Lin Li, Susan L. Ustin
Estimation of vegetation water content through GA-PLS modeling of modis reflectance data. IGARSS 2010: 2115-2118
2000 – 2009
- 2009
- [j4]Jose Andres Moreno-Ruiz
Intercomparison of AVHRR PAL and LTDR Version 2 Long-Term Data Sets for Africa From 1982 to 2000 and Its Impact on Mapping Burned Area. IEEE Geosci. Remote. Sens. Lett. 6(4): 738-742 (2009) - 2007
- [j3]Lin Li, Susan L. Ustin
Retrieval of Fresh Leaf Fuel Moisture Content Using Genetic Algorithm Partial Least Squares (GA-PLS) Modeling. IEEE Geosci. Remote. Sens. Lett. 4(2): 216-220 (2007) - [c2]Heiko Balzter
Post-fire vegetation phenology in Siberian burn scars. IGARSS 2007: 4652-4655 - 2005
- [j2]David Riaño
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 Trans. Geosci. Remote. Sens. 43(4): 819-826 (2005) - [c1]David Riaño, Susan L. Ustin
Estimation of Fuel Moisture Content Using Neural Networks. IWINAC (2) 2005: 489-498 - 2003
- [j1]David Riaño
Assessment of different topographic corrections in Landsat-TM data for mapping vegetation types (2003). IEEE Trans. Geosci. Remote. Sens. 41(5): 1056-1061 (2003)
Coauthor Index
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