Riaño Arribas, David Autor

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.
... Ver más Contraer

RESTORATION ECOLOGY - 10/8/2009

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

Número de citas: 34 (Scopus)

Analysing forest recovery after wildfire disturbance in boreal Siberia using remotely sensed vegetation indices

  • Cuevas-González M.
  • Gerard F.
  • Balzter H.
  • Riaño D.

GLOBAL CHANGE BIOLOGY - 16/2/2009

10.1111/j.1365-2486.2008.01784.x

Número de citas: 89 (Scopus)

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

  • Moreno-Ruiz J.
  • Riaño D.
  • García-Lazaro J.
  • Ustin S.

Ieee Geoscience and Remote Sensing Letters - 1/10/2009

10.1109/lgrs.2009.2024436

Número de citas: 8 (Web of Science) 9 (Scopus)

Estimation of live fuel moisture content from MODIS images for fire risk assessment

  • Yebra M.
  • Chuvieco E.
  • Riaño D.

Agricultural and Forest Meteorology - 16/4/2008

10.1016/j.agrformet.2007.12.005

Número de citas: 143 (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

Número de citas: 76 (Scopus)

Studying the change in fAPAR after forest fires in Siberia using MODIS

  • Cuevas-Gonzalez M.
  • Gerard F.
  • Balzter H.
  • Riano D.

International Journal of Remote Sensing - 10/12/2008

10.1080/01431160802238427

Número de citas: 8 (Scopus)

Multi-temporal vegetation canopy water content retrieval and interpretation using artificial neural networks for the continental USA

  • Trombetti M.
  • Riaño D.
  • Rubio M.
  • Cheng Y.
  • Ustin S.

Remote Sensing of Environment - 15/1/2008

10.1016/j.rse.2007.04.013

Número de citas: 94 (Scopus)

Retrieval of vegetation equivalent water thickness from reflectance using genetic algorithm (GA)-partial least squares (PLS) regression

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

Advances in Space Research - 1/1/2008

10.1016/j.asr.2008.02.015

Número de citas: 47 (Scopus)

Estimation of shrub height for fuel-type mapping combining airborne LiDAR and simultaneous color infrared ortho imaging

  • Riaño D.
  • Chuvieco E.
  • Ustin S.
  • Salas J.
  • Rodríguez-Pérez J.
  • Ribeiro L.
  • Viegas D.
  • Moreno J.
  • Fernández H.
... Ver más Contraer

International Journal of Wildland Fire - 2/8/2007

10.1071/wf06003

Número de citas: 95 (Web of Science) 88 (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)

Este autor no tiene libros, capítulos o tesis.

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:

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:

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)

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)
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)
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)

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)

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)

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: 1/06/24 9:40
Próxima recolección programada: 8/06/24 3:00