García Alonso, Mariano

Actividades

A Machine-Learning Approach to PolInSAR and LiDAR Data Fusion for Improved Tropical Forest Canopy Height Estimation Using NASA AfriSAR Campaign Data

  • Pourshamsi, M.
  • Garcia, M.
  • Lavalle, M.
  • Balzter, H.

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (p. 3453-3463) - 2018

Editor: Institute of Electrical and Electronics Engineers

10.1109/jstars.2018.2868119 Ver en origen

  • ISSN/ISBN 2151-1535

A data mining approach for global burned area mapping

  • Ramo, R.
  • García, M.
  • Rodríguez, D.
  • Chuvieco, E.

International Journal of Applied Earth Observation and Geoinformation (p. 39-51) - 2018

Editor: Elsevier B.V.

10.1016/j.jag.2018.05.027 Ver en origen

  • ISSN/ISBN 1872-826X

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.
... Ver más Contraer

Remote Sensing - 2020

Editor: MDPI AG

10.3390/rs12111714 Ver en origen

  • ISSN/ISBN 2072-4292

An evolutionary-weighted majority voting and support vector machines applied to contextual classification of LiDAR and imagery data fusion

  • García-Gutiérrez, J.
  • Mateos-García, D.
  • Garcia, M.
  • Riquelme-Santos, J.C.

Neurocomputing (p. 17-24) - 2015

Editor: Elsevier B.V.

10.1016/j.neucom.2014.08.086 Ver en origen

  • ISSN/ISBN 1872-8286

Assessing post-fire forest structure recovery by combining LiDAR data and Landsat time series in Mediterranean pine forests

  • Viana-Soto, A.
  • García, M.
  • Aguado, I.
  • Salas, J.

International Journal of Applied Earth Observation and Geoinformation - 2022

Editor: Elsevier B.V.

10.1016/j.jag.2022.102754 Ver en origen

  • ISSN/ISBN 1872-826X

Author Correction: Globe-LFMC, a global plant water status database for vegetation ecophysiology and wildfire applications (Scientific Data, (2019), 6, 1, (155), 10.1038/s41597-019-0164-9)

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

Scientific Data - 2019

Editor: Nature Research

10.1038/s41597-019-0315-z Ver en origen

  • ISSN/ISBN 2052-4463

Avances en teledetección: instrumentos y aplicaciones

  • M. Pilar Martín Isabel
  • Mariano García Alonso
  • Javier Martínez Vega

Ciudad y territorio: Estudios territoriales (p. 551-564) - 2010

Editor: Instituto del Territorio y Urbanismo

  • ISSN/ISBN 1133-4762

Burned forest characterization at single-tree level with airborne laser scanning for assessing wildlife habitat

  • Casas, Á.
  • García, M.
  • Siegel, R.B.
  • Koltunov, A.
  • Ramírez, C.
  • Ustin, S.

Remote Sensing of Environment (p. 231-241) - 2016

Editor: Elsevier Inc.

10.1016/j.rse.2015.12.044 Ver en origen

  • ISSN/ISBN 0034-4257

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 (p. 78-88) - 2015

Editor: Elsevier Inc.

10.1016/j.rse.2015.01.030 Ver en origen

  • ISSN/ISBN 0034-4257

Canopy gap patterns in Mediterranean forests: a spatio-temporal characterization using airborne LiDAR data

  • Rodes-Blanco, M.
  • Ruiz-Benito, P.
  • Silva, C.A.
  • García, M.

Landscape Ecology - 2023

Editor: Springer Science and Business Media B.V.

10.1007/s10980-023-01663-5 Ver en origen

  • ISSN/ISBN 1572-9761

Este/a investigador/a no tiene libros.

Image processing of radar and lidar in tropical forestry

  • Baldauf, T.
  • Garcia, M.

Tropical Forestry Handbook, Second Edition (p. 635-661) - 2016

Editor: Springer Berlin Heidelberg

10.1007/978-3-642-54601-3_67 Ver en origen

  • ISSN/ISBN 9783642546006

Assessing tree decay in an urban park using PlanetScope images: The case of Cerro Almodóvar Park

  • Rodes, M.
  • Torres, P.
  • Garciá, M.

Proceedings of SPIE - The International Society for Optical Engineering - 2021

Editor: SPIE

10.1117/12.2600081 Ver en origen

  • ISSN/ISBN 9781510645721

Assessment of the potential of SAC-C/MMRS imagery for mapping burned areas in Spain

  • García, M.
  • Chuvieco, E.

Remote Sensing of Environment (p. 414-423) - 2004

Editor: Elsevier Inc.

10.1016/j.rse.2004.04.011 Ver en origen

  • ISSN/ISBN 0034-4257

Classification of post-fire recovery trajectories using Landsat time series in the Mediterranean region: Spain

  • Viana-Soto, A.
  • Aguado, I.
  • Salas, J.
  • García, M.

Proceedings of SPIE - The International Society for Optical Engineering - 2019

Editor: SPIE

10.1117/12.2532247 Ver en origen

  • ISSN/ISBN 1996-756X

Extrapolating forest canopy cover by combining airborne LiDAR and Landsat data: The case of the Yeste fire (Spain)

  • Viana-Soto, A.
  • Garcia, M.
  • Aguado, I.
  • Salas, J.

Proceedings of SPIE - The International Society for Optical Engineering - 2021

Editor: SPIE

10.1117/12.2599119 Ver en origen

  • ISSN/ISBN 1996-756X

Machine-learning fusion of PolSAR and LiDAR data for tropical forest canopy height estimation

  • Pourshamsi, M.
  • Garcia, M.
  • Lavalle, M.
  • Pottier, E.
  • Balzter, H.

International Geoscience and Remote Sensing Symposium (IGARSS) (p. 8108-8111) - 2018

Editor: Institute of Electrical and Electronics Engineers Inc.

10.1109/igarss.2018.8518030 Ver en origen

  • ISSN/ISBN 9781538671504

The use of multifrequency sar data for assessing levels of forest disturbance in Bajo Calima Colombia

  • Pacheco-Pascagaza, A.M.
  • Garcia, M.
  • Rodríguez-Veiga, P.
  • Balzter, H.

International Geoscience and Remote Sensing Symposium (IGARSS) (p. 7015-7018) - 2018

Editor: Institute of Electrical and Electronics Engineers Inc.

10.1109/igarss.2018.8518871 Ver en origen

  • ISSN/ISBN 9781538671504

Este/a investigador/a no tiene documentos de trabajo.

Este/a investigador/a no tiene informes técnicos.

Este/a investigador/a no tiene proyectos de investigación.

Este/a investigador/a no tiene tesis dirigidas.

Este/a investigador/a no tiene patentes o licencias de software.

Última actualización de los datos: 24/04/24 13:07