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Riaño Arribas, David Author

Evaluating the potential of LiDAR data for fire damage assessment: A radiative transfer model approach

  • García M.
  • North P.
  • Viana-Soto A.
  • Stavros N.E.
  • Rosette J.
  • Martín M.P.
  • Franquesa M.
  • González-Cascón R.
  • Riaño D.
  • Becerra J.
  • Zhao K.
... View more Collapse

Remote Sensing of Environment - 15/9/2020

10.1016/j.rse.2020.111893

Cite count: 5 (Scopus)
  • SJR Quartile: Q1
  • JCR Impact Factor: 10.164 (2020)
  • CiteScore: 17.6 (2020)
  • SJR: 3.611 (2020
  • SNIP: 3.345 (2020
  • JCR 5-year Impact Factor: 11.057
  • JCR Categories: ENVIRONMENTAL SCIENCES
  • SJR Categories: Geology (Q1); Soil Science (Q1); Computers in Earth Sciences (Q1)

Estimating biomass carbon stocks for a Mediterranean forest in central Spain using LiDAR height and intensity data

  • García M.
  • Riaño D.
  • Chuvieco E.
  • Danson F.

REMOTE SENSING OF ENVIRONMENT - 15/4/2010

10.1016/j.rse.2009.11.021

Cite count: 229 (Scopus)
  • SJR Quartile: Q1
  • JCR Impact Factor: 3.954 (2010)
  • CiteScore: 17.6 (2020)
  • SJR: 2.786 (2010
  • SNIP: 2.823 (2010
  • JCR 5-year Impact Factor: 4.607
  • JCR Categories: ENVIRONMENTAL SCIENCES
  • SJR Categories: Computers in Earth Sciences (Q1); Geology (Q1); Soil Science (Q1)

Characterization of canopy fuels using ICESat/GLAS data

  • García M.
  • Popescu S.
  • Riaño D.
  • Zhao K.
  • Neuenschwander A.
  • Agca M.
  • Chuvieco E.
... View more Collapse

REMOTE SENSING OF ENVIRONMENT - 1/8/2012

10.1016/j.rse.2012.03.018

Cite count: 45 (Scopus)
  • SJR Quartile: Q1
  • JCR Impact Factor: 5.103 (2012)
  • CiteScore: 17.6 (2020)
  • SJR: 3.449 (2012
  • SNIP: 3.63 (2012
  • JCR 5-year Impact Factor: 6.144
  • JCR Categories: ENVIRONMENTAL SCIENCES
  • SJR Categories: Computers in Earth Sciences (Q1); Geology (Q1); Soil Science (Q1)

New approaches in multi-angular proximal sensing of vegetation: Accounting for spatial heterogeneity and diffuse radiation in directional reflectance distribution models

  • Pacheco-Labrador J.
  • Martín M.
  • Riaño D.
  • Hilker T.
  • Carrara A.

REMOTE SENSING OF ENVIRONMENT - 15/12/2016

10.1016/j.rse.2016.10.051

Cite count: 16 (Scopus)
  • SJR Quartile: Q1
  • JCR Impact Factor: 6.265 (2016)
  • CiteScore: 17.6 (2020)
  • SJR: 3.035 (2016
  • SNIP: 3.002 (2016
  • JCR 5-year Impact Factor: 7.653
  • JCR Categories: REMOTE SENSING
  • SJR Categories: Computers in Earth Sciences (Q1); Geology (Q1); Soil Science (Q1)

A fuel moisture content and flammability monitoring methodology for continental Australia based on optical remote sensing

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

REMOTE SENSING OF ENVIRONMENT - 1/6/2018

10.1016/j.rse.2018.04.053

Cite count: 54 (Scopus)
  • SJR Quartile: Q1
  • JCR Impact Factor: 8.218 (2018)
  • CiteScore: 17.6 (2020)
  • SJR: 3.208 (2018
  • SNIP: 3.306 (2018
  • JCR 5-year Impact Factor: 8.791
  • JCR Categories: REMOTE SENSING
  • SJR Categories: Computers in Earth Sciences (Q1); Geology (Q1); Soil Science (Q1)

A global review of remote sensing of live fuel moisture content for fire danger assessment: Moving towards operational products

  • Yebra M.
  • Dennison P.E.
  • Chuvieco E.
  • Riaño D.
  • Zylstra P.
  • Hunt E.R.
  • Danson F.M.
  • Qi Y.
  • Jurdao S.
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REMOTE SENSING OF ENVIRONMENT - 1/9/2013

10.1016/j.rse.2013.05.029

Cite count: 159 (Scopus)
  • SJR Quartile: Q1
  • JCR Impact Factor: 4.769 (2013)
  • CiteScore: 17.6 (2020)
  • SJR: 3.148 (2013
  • SNIP: 2.962 (2013
  • JCR 5-year Impact Factor: 6.065
  • JCR Categories: IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY
  • SJR Categories: Computers in Earth Sciences (Q1); Geology (Q1); Soil Science (Q1)

The effect of pixel heterogeneity for remote sensing based retrievals of evapotranspiration in a semi-arid tree-grass ecosystem

  • Burchard-Levine V.
  • Nieto H.
  • Riaño D.
  • Migliavacca M.
  • El-Madany T.S.
  • Guzinski R.
  • Carrara A.
  • Martín M.P.
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REMOTE SENSING OF ENVIRONMENT - 1/7/2021

10.1016/j.rse.2021.112440

Cite count: 4 (Scopus)
  • JCR Impact Factor: 13.85 (2021)
  • CiteScore: 17.6 (2020)
  • SJR: 3.611 (2020
  • SNIP: 3.345 (2020
  • JCR 5-year Impact Factor: 13.662
  • JCR Categories: IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY

Multispectral and LiDAR data fusion for fuel type mapping using Support Vector Machine and decision rules

  • García M.
  • Riaño D.
  • Chuvieco E.
  • Salas J.
  • Danson F.

REMOTE SENSING OF ENVIRONMENT - 15/6/2011

10.1016/j.rse.2011.01.017

Cite count: 109 (Scopus)
  • SJR Quartile: Q1
  • JCR Impact Factor: 4.574 (2011)
  • CiteScore: 17.6 (2020)
  • SJR: 3.438 (2011
  • SNIP: 3.1 (2011
  • JCR 5-year Impact Factor: 5.276
  • JCR Categories: IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY
  • SJR Categories: Computers in Earth Sciences (Q1); Geology (Q1); Soil Science (Q1)

Canopy clumping appraisal using terrestrial and airborne laser scanning

  • García M.
  • Gajardo J.
  • Riaño D.
  • Zhao K.
  • Martín P.
  • Ustin S.

REMOTE SENSING OF ENVIRONMENT - 1/5/2015

10.1016/j.rse.2015.01.030

Cite count: 49 (Scopus)
  • SJR Quartile: Q1
  • JCR Impact Factor: 5.881 (2015)
  • CiteScore: 17.6 (2020)
  • SJR: 3.697 (2015
  • SNIP: 3.078 (2015
  • JCR 5-year Impact Factor: 7.388
  • JCR Categories: ENVIRONMENTAL SCIENCES
  • SJR Categories: Computers in Earth Sciences (Q1); Geology (Q1); Soil Science (Q1)

Using remote sensing to evaluate the influence of grassland restoration activities on ecosystem forage provisioning services

  • Malmstrom C.
  • Butterfield H.
  • Barber C.
  • Dieter B.
  • Harrison R.
  • Qi J.
  • Riaño D.
  • Schrotenboer A.
  • Stone S.
  • Stoner C.
  • Wirka J.
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RESTORATION ECOLOGY - 10/8/2009

10.1111/j.1526-100x.2008.00411.x

Cite count: 34 (Scopus)
  • SJR Quartile: Q1
  • JCR Impact Factor: 1.665 (2009)
  • CiteScore: 4.9 (2020)
  • SJR: 1.153 (2009
  • SNIP: 1.156 (2009
  • JCR 5-year Impact Factor: 2.49
  • JCR Categories: ECOLOGY
  • SJR Categories: Ecology (Q1); Ecology, Evolution, Behavior and Systematics (Q1); Nature and Landscape Conservation (Q1)

This author has no books, chapters or theses.

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:
  • SJR Categories: Computer Networks and Communications

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)
  • SJR Categories: Computer Science Applications; Earth and Planetary Sciences (miscellaneous)

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:
  • SJR Categories: Computer Science Applications; Earth and Planetary Sciences (miscellaneous)

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)
  • SJR Categories: Computer Science Applications; Earth and Planetary Sciences (miscellaneous)
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)
  • SJR Quartile: Q2
  • CiteScore: 1.8 (2020)
  • SJR: 0.334 (2005
  • SNIP: 0.787 (2005
  • SJR Categories: Computer Science (miscellaneous) (Q2); Theoretical Computer Science (Q3)
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)
  • CiteScore: 0.8 (2020)
  • SJR: 0.267 (2006
  • SNIP: 0.448 (2006
  • SJR Categories: Applied Mathematics; Computer Science Applications; Condensed Matter Physics; Electrical and Electronic Engineering; Electronic, Optical and Magnetic Materials

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)
  • SJR Quartile: Q1
  • CiteScore: 17.6 (2020)
  • SJR: 3.295 (2004
  • SNIP: 3.133 (2004
  • SJR Categories: Computers in Earth Sciences (Q1); Geology (Q1); Soil Science (Q1)

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)
  • SJR Quartile: Q1
  • CiteScore: 17.6 (2020)
  • SJR: 3.295 (2004
  • SNIP: 3.133 (2004
  • SJR Categories: Computers in Earth Sciences (Q1); Geology (Q1); Soil Science (Q1)

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.
... View more Collapse

Scientific Data - 29/11/2019

10.1038/s41597-019-0315-z

Cite count:
  • SJR Quartile: Q1
  • JCR Impact Factor: 5.541 (2019)
  • JCR 5-year Impact Factor: 7.67
  • JCR Categories: MULTIDISCIPLINARY SCIENCES
  • SJR Categories: Computer Science Applications (Q1); Education (Q1); Information Systems (Q1); Library and Information Sciences (Q1); Statistics and Probability (Q1); Statistics, Probability and Uncertainty (Q1)

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