David Riaño

Orcid: 0000-0002-0198-1424

Affiliations:
  • University of California, Davis, Center for Spatial Technologies and Remote Sensing (CSTARS), CA, USA
  • Spanish National Research Council (CSIC), Institute of Economics and Geography, Madrid, Spain


According to our database1, David Riaño authored at least 19 papers between 2003 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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Bibliography

2021
Global fuel moisture content mapping from MODIS.
Int. J. Appl. Earth Obs. Geoinformation, 2021

2020
A Live Fuel Moisture Content Product from Landsat TM Satellite Time Series for Implementation in Fire Behavior Models.
Remote. Sens., 2020

Estimation of Canopy Gap Fraction from Terrestrial Laser Scanner Using an Angular Grid to Take Advantage of the Full Data Spatial Resolution.
Remote. Sens., 2020

Seasonal Adaptation of the Thermal-Based Two-Source Energy Balance Model for Estimating Evapotranspiration in a Semiarid Tree-Grass Ecosystem.
Remote. Sens., 2020

2019
Spectral mapping methods applied to LiDAR data: Application to fuel type mapping.
Int. J. Appl. Earth Obs. Geoinformation, 2019

2018
Improving the Performance of 3-D Radiative Transfer Model FLIGHT to Simulate Optical Properties of a Tree-Grass Ecosystem.
Remote. Sens., 2018

Estimation of Burned Area in the Northeastern Siberian Boreal Forest from a Long-Term Data Record (LTDR) 1982-2015 Time Series.
Remote. Sens., 2018

Mapping Live Fuel Moisture Content and Flammability for Continental Australia Using Optical Remote Sensing.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2014
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., 2014

Assessment of Methods for Land Surface Temperature Retrieval from Landsat-5 TM Images Applicable to Multiscale Tree-Grass Ecosystem Modeling.
Remote. Sens., 2014

Understanding the optical responses of leaf nitrogen in Mediterranean Holm oak (Quercus ilex) using field spectroscopy.
Int. J. Appl. Earth Obs. Geoinformation, 2014

2011
Terrestrial laser scanning to estimate plot-level forest canopy fuel properties.
Int. J. Appl. Earth Obs. Geoinformation, 2011

2010
Estimation of vegetation water content through GA-PLS modeling of modis reflectance data.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

2009
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., 2009

2007
Retrieval of Fresh Leaf Fuel Moisture Content Using Genetic Algorithm Partial Least Squares (GA-PLS) Modeling.
IEEE Geosci. Remote. Sens. Lett., 2007

Post-fire vegetation phenology in Siberian burn scars.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007

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 Trans. Geosci. Remote. Sens., 2005

Estimation of Fuel Moisture Content Using Neural Networks.
Proceedings of the Artificial Intelligence and Knowledge Engineering Applications: A Bioinspired Approach: First International Work-Conference on the Interplay Between Natural and Artificial Computation, 2005

2003
Assessment of different topographic corrections in Landsat-TM data for mapping vegetation types (2003).
IEEE Trans. Geosci. Remote. Sens., 2003


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