Riaño Arribas, David Author

Modeling airborne laser scanning data for the spatial generation of critical forest parameters in fire behavior modeling

  • Riaño D.
  • Meier E.
  • Allgöwer B.
  • Chuvieco E.
  • Ustin S.

Remote Sensing of Environment - 30/7/2003

10.1016/s0034-4257(03)00098-1

Cite count: 203 (Scopus)

Water content estimation from hyperspectral images and MODIS indexes in Southeastern Arizona

  • Cheng Y.
  • Ustin S.
  • Riaño D.
  • Vanderbilt V.

Remote Sensing of Environment - 15/2/2008

10.1016/j.rse.2007.01.023

Cite count: 76 (Scopus)

Estimation of canopy gap fraction from terrestrial laser scanner using an angular grid to take advantage of the full data spatial resolution

  • Gajardo J.
  • Riaño D.
  • García M.
  • Salas J.
  • Martín M.P.

Remote Sensing - 1/5/2020

10.3390/rs12101596

Cite count: 1 (Scopus)

Assessment of methods for land surface temperature retrieval from landsat-5 TM images applicable to multiscale tree-grass ecosystem modeling

  • Vlassova L.
  • Perez-Cabello F.
  • Nieto H.
  • Martín P.
  • Riaño D.
  • Riva J.

Remote Sensing - 1/1/2014

10.3390/rs6054345

Cite count: 58 (Scopus)

Improving the performance of 3-D radiative transfer model FLIGHT to simulate optical properties of a tree-grass ecosystem

  • Melendo-Vega J.
  • Martín M.
  • Pacheco-Labrador J.
  • González-Cascón R.
  • Moreno G.
  • Pérez F.
  • Migliavacca M.
  • García M.
  • North P.
  • Riaño D.
... View more Collapse

Remote Sensing - 1/12/2018

10.3390/rs10122061

Cite count: 17 (Scopus)

Estimation of burned area in the Northeastern Siberian boreal forest from a Long-Term Data Record (LTDR) 1982-2015 time series

  • García-Lázaro J.
  • Moreno-Ruiz J.
  • Riaño D.
  • Arbelo M.

Remote Sensing - 1/6/2018

10.3390/rs10060940

Cite count: 28 (Web of Science) 16 (Scopus)

Seasonal adaptation of the thermal-based two-source energy balance model for estimating evapotranspiration in a semiarid tree-grass ecosystem

  • Burchard-Levine V.
  • Nieto H.
  • Riaño D.
  • Migliavacca M.
  • El-Madany T.S.
  • Perez-Priego O.
  • Carrara A.
  • Martín M.P.
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Remote Sensing - 1/3/2020

10.3390/rs12060904

Cite count: 11 (Scopus)

A live fuel moisture content product from landsat TM satellite time series for implementation in fire behavior models

  • García M.
  • Riaño D.
  • Yebra M.
  • Salas J.
  • Cardil A.
  • Monedero S.
  • Ramirez J.
  • Martín M.P.
  • Vilar L.
  • Gajardo J.
  • Ustin S.
... View more Collapse

Remote Sensing - 1/6/2020

10.3390/rs12111714

Cite count: 8 (Scopus)

Multitemporal modelling of socio-economic wildfire drivers in central Spain between the 1980s and the 2000s: Comparing generalized linear models to machine learning algorithms

  • Vilar L.
  • Gómez I.
  • Martínez-Vega J.
  • Echavarría P.
  • Riaño D.
  • Martín M.

PLoS One - 1/8/2016

10.1371/journal.pone.0161344

Cite count: 35 (Scopus)

Using LiDAR Data Analysis to Estimate Changes in Insolation Under Large-Scale Riparian Deforestation

  • Greenberg J.
  • Hestir E.
  • Riano D.
  • Scheer G.
  • Ustin S.

JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION - 1/10/2012

10.1111/j.1752-1688.2012.00664.x

Cite count: 16 (Scopus)

This author has no books, chapters or theses.

Combining NDVI and surface temperature for the estimation of live fuel moisture content in forest fire danger rating

  • Chuvieco E.
  • Cocero D.
  • Riaño D.
  • Martin P.
  • Martínez-Vega J.
  • De La Riva J.
  • Pérez F.
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Remote Sensing of Environment - 30/8/2004

10.1016/j.rse.2004.01.019

Cite count: 230 (Scopus) 4 (Dialnet)

Generation of crown bulk density for Pinus sylvestris L. from lidar

  • Riaño D.
  • Chuvieco E.
  • Condés S.
  • González-Matesanz J.
  • Ustin S.

Remote Sensing of Environment - 30/8/2004

10.1016/j.rse.2003.12.014

Cite count: 124 (Scopus) 3 (Dialnet)
Open Access

Canopy water content estimates with AVIRIS imagery and MODIS reflectance products

  • Cheng Y.
  • Riano D.
  • Zarco-Tejada P.
  • Ustin S.

Proceedings of SPIE - The International Society for Optical Engineering - 30/11/2006

10.1117/12.676833

Cite count: 2 (Scopus)
Open Access

Estimation of fuel moisture content using neural networks

  • Riaño D.
  • Ustin S.
  • Usero L.
  • Patricio M.

Lecture Notes in Computer Science - 17/10/2005

10.1007/11499305_50

Cite count: 11 (Scopus)

Mapping live fuel moisture content and flammability for continental Australia using optical remote sensing

  • Yebra M.
  • Quan X.
  • Riaño D.
  • Rozas Larraondo P.
  • Van Dijk A.I.J.M.
  • Cary G.J.

International Geoscience and Remote Sensing Symposium (IGARSS) - 31/10/2018

10.1109/igarss.2018.8517662

Cite count:

Estimation of vegetation water content through GA-PLS modeling of modis reflectance data

  • Li L.
  • Ustin S.
  • Riaño D.
  • Cheng Y.

International Geoscience and Remote Sensing Symposium (IGARSS) - 1/12/2010

10.1109/igarss.2010.5653843

Cite count: 1 (Scopus)

Post-fire vegetation phenology in Siberian burn scars

  • Balzter H.
  • Gerard F.
  • Gonzalez M.
  • Riaño D.

International Geoscience and Remote Sensing Symposium (IGARSS) - 1/12/2007

10.1109/igarss.2007.4423895

Cite count: 4 (Scopus)

Methodology for the detection of observable phenomena in time series of daily satellite images: Application to burned areas

  • Moreno-Ruiz, J.A.
  • Arbelo, M.
  • García-Lázaro, J.R.
  • Núñez-Casillas, L.
  • Riaño, D.

34th Asian Conference on Remote Sensing 2013, ACRS 2013 - 1/1/2013

Cite count:

This author has no patents.

Erratum: Author Correction: Globe-LFMC, a global plant water status database for vegetation ecophysiology and wildfire applications (Scientific data (2019) 6 1 (155))

  • Yebra M.
  • Scortechini G.
  • Badi A.
  • Beget M.
  • Boer M.
  • Bradstock R.
  • Chuvieco E.
  • Danson F.
  • Dennison P.
  • de Dios V.
  • Di Bella C.
  • Forsyth G.
  • Frost P.
  • Garcia M.
  • Hamdi A.
  • He B.
  • Jolly M.
  • Kraaij T.
  • Martín M.
  • Mouillot F.
  • Newnham G.
  • Nolan R.
  • Pellizzaro G.
  • Qi Y.
  • Quan X.
  • Riaño D.
  • Roberts D.
  • Sow M.
  • Ustin S.
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Scientific Data - 29/11/2019

10.1038/s41597-019-0315-z

Cite count:

Scopus: 31

Web of Science: 8

Scopus: 41

Web of Science: 7

Last data update: 6/29/24 9:29 AM
Next scheduled update: 7/6/24 3:00 AM