Riaño Arribas, David Autor

Estimation of fuel moisture content from multitemporal analysis of Landsat Thematic Mapper reflectance data: Applications in fire danger assessment

  • Chuvieco E.
  • Riaño D.
  • Aguado I.
  • Cocero D.

International Journal of Remote Sensing - 10/6/2002

10.1080/01431160110069818

Número de citas: 205 (Scopus)

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

  • Riaño D.
  • Vaughan P.
  • Chuvieco E.
  • Zarco-Tejada P.
  • Ustin S.

IEEE Transactions on Geoscience and Remote Sensing - 1/4/2005

10.1109/tgrs.2005.843316

Número de citas: 141 (Scopus)
Open Access

Estimation of essential vegetation variables in a dehesa ecosystem using reflectance factors simulated at different phenological stages

  • Martín M.P.
  • Pacheco-Labrador J.
  • González-Cascón R.
  • Moreno G.
  • Migliavacca M.
  • García M.
  • Yebra M.
  • Riaño D.
... Ver más Contraer

Revista de Teledeteccion - 1/1/2020

10.4995/raet.2020.13394

Número de citas: 4 (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

Número de citas: 1 (Scopus)
Open Access

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

  • García Lázaro, José Rafael
  • Moreno Ruiz, José Andrés
  • Riaño Arribas, David
  • Arbelo, Manuel

14/06/2018

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

Número de citas: 28 (Web of Science) 16 (Scopus)

Estimating vegetation water content with hyperspectral data for different canopy scenarios: Relationships between AVIRIS and MODIS indexes

  • Cheng Y.
  • Zarco-Tejada P.
  • Riaño D.
  • Rueda C.
  • Ustin S.

Remote Sensing of Environment - 30/12/2006

10.1016/j.rse.2006.07.005

Número de citas: 149 (Scopus)

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

Número de citas: 229 (Scopus)

Development of angle indexes for soil moisture estimation, dry matter detection and land-cover discrimination

  • Khanna S.
  • Palacios-Orueta A.
  • Whiting M.
  • Ustin S.
  • Riaño D.
  • Litago J.

Remote Sensing of Environment - 30/7/2007

10.1016/j.rse.2006.12.018

Número de citas: 87 (Web of Science) 90 (Scopus)

Design of an empirical index to estimate fuel moisture content from NOAA-AVHRR images in forest fire danger studies

  • Chuvieco E.
  • Aguado I.
  • Cocero D.
  • Riano D.

International Journal of Remote Sensing - 20/4/2003

10.1080/01431160210144660

Número de citas: 7 (Scopus)

Este autor no tiene libros, capítulos o tesis.

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

Número de citas: 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

Número de citas:

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

Número de citas:

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

Número de citas: 124 (Scopus) 3 (Dialnet)

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

Número de citas: 1 (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

Número de citas: 11 (Scopus)

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.
... Ver más Contraer

Remote Sensing of Environment - 30/8/2004

10.1016/j.rse.2004.01.019

Número de citas: 230 (Scopus) 4 (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

Número de citas: 2 (Scopus)

Este autor no tiene patentes.

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.
... Ver más Contraer

Scientific Data - 29/11/2019

10.1038/s41597-019-0315-z

Número de citas:

Scopus: 31

Web of Science: 8

Scopus: 41

Web of Science: 7

Última actualización de los datos: 22/06/24 9:41
Próxima recolección programada: 29/06/24 3:00