Riaño Arribas, David Autor

Open Access

Fuel type mapping from remote sensing data: Contributions to a sustainable environmental development

  • Riano D.
  • Salas J.
  • Chuvieco E.

Estudios Geograficos - 1/12/2001

10.3989/egeogr.2001.i243.287

Número de citas: 4 (Scopus)

Generation of fuel type maps from Landsat TM images and ancillary data in Mediterranean ecosystems

  • Riaño D.
  • Chuvieco E.
  • Salas J.
  • Palacios-Orueta A.
  • Bastarrika A.

Canadian Journal of Forest Research - 1/1/2002

10.1139/x02-052

Número de citas: 84 (Web of Science) 76 (Scopus)

Assessment of vegetation regeneration after fire through multitemporal analysis of AVIRIS images in the Santa Monica Mountains

  • Riaño D.
  • Chuvieco E.
  • Ustin S.
  • Zomer R.
  • Dennison P.
  • Roberts D.
  • Salas J.
... Ver más Contraer

Remote Sensing of Environment - 22/1/2002

10.1016/s0034-4257(01)00239-5

Número de citas: 125 (Scopus)

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)

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)

Assessment of different topographic corrections in landsat-TM data for mapping vegetation types (2003)

  • Riaño D.
  • Chuvieco E.
  • Salas J.
  • Aguado I.

IEEE Transactions on Geoscience and Remote Sensing - 1/5/2003

10.1109/tgrs.2003.811693

Número de citas: 371 (Scopus)

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

Número de citas: 203 (Scopus)

Estimation of leaf area index and covered ground from airborne laser scanner (Lidar) in two contrasting forests

  • Riaño D.
  • Valladares F.
  • Condés S.
  • Chuvieco E.

Agricultural and Forest Meteorology - 20/8/2004

10.1016/j.agrformet.2004.02.005

Número de citas: 219 (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)

Use of a radiative transfer model to simulate the postfire spectral response to burn severity

  • Chuvieco E.
  • Riaño D.
  • Danson F.
  • Martin P.

Journal of Geophysical Research: Biogeosciences - 28/12/2006

10.1029/2005jg000143

Número de citas: 101 (Scopus)

Este autor no tiene libros, capítulos o tesis.

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)

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)
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)
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)

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)

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)

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:

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: 11/05/24 9:49
Próxima recolección programada: 18/05/24 3:00