García Alonso, Mariano

Actividades

How to better estimate leaf area index and leaf angle distribution from digital hemispherical photography? Switching to a binary nonlinear regression paradigm

  • Zhao, K.
  • Ryu, Y.
  • Hu, T.
  • Garcia, M.
  • Li, Y.
  • Liu, Z.
  • Londo, A.
  • Wang, C.
... Ver más Contraer

Methods in Ecology and Evolution (p. 1864-1874) - 2019

Editor: British Ecological Society

10.1111/2041-210x.13273 Ver en origen

  • ISSN/ISBN 2041-210X

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

Loss on ignition: A qualitative or quantitative method for organic matter and carbonate mineral content in sediments?

  • Santisteban, J.I.
  • Mediavilla, R.
  • López-Pamo, E.
  • Dabrio, C.J.
  • Zapata, M.B.R.
  • García, M.J.G.
  • Castaño, S.
  • Martínez-Alfaro, P.E.
... Ver más Contraer

Journal of Paleolimnology (p. 287-299) - 2004

Editor: Springer

10.1023/b:jopl.0000042999.30131.5b Ver en origen

  • ISSN/ISBN 1573-0417

Method to map human and infrastructure vulnerability using CNN land cover: Case study of floating tank explosion at petrochemical plants of LaemChabang, Thailand

  • Sentagne, T.
  • Zerbola, M.
  • Garcia, M.
  • Kumsap, C.
  • Mungkung, V.
  • Mezeix, L.

Journal of Loss Prevention in the Process Industries - 2023

Editor: Elsevier Ltd

10.1016/j.jlp.2023.105057 Ver en origen

  • ISSN/ISBN 0950-4230

Quantifying biomass consumption and carbon release from the California Rim fire by integrating airborne LiDAR and Landsat OLI data

  • Garcia, M.
  • Saatchi, S.
  • Casas, A.
  • Koltunov, A.
  • Ustin, S.
  • Ramirez, C.
  • Garcia-Gutierrez, J.
  • Balzter, H.
... Ver más Contraer

Journal of Geophysical Research: Biogeosciences (p. 340-353) - 2017

Editor: Blackwell Publishing Ltd

10.1002/2015jg003315 Ver en origen

  • ISSN/ISBN 2169-8961

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

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

Past decade above-ground biomass change comparisons from four multi-temporal global maps

  • Araza, A.
  • Herold, M.
  • de Bruin, S.
  • Ciais, P.
  • Gibbs, D.A.
  • Harris, N.
  • Santoro, M.
  • Wigneron, J.-P.
  • Yang, H.
  • Málaga, N.
  • Nesha, K.
  • Rodriguez-Veiga, P.
  • Brovkina, O.
  • Brown, H.C.A.
  • Chanev, M.
  • Dimitrov, Z.
  • Filchev, L.
  • Fridman, J.
  • García, M.
  • Gikov, A.
  • Govaere, L.
  • Dimitrov, P.
  • Moradi, F.
  • Muelbert, A.E.
  • Novotný, J.
  • Pugh, T.A.M.
  • Schelhaas, M.-J.
  • Schepaschenko, D.
  • Stereńczak, K.
  • Hein, L.
... Ver más Contraer

International Journal of Applied Earth Observation and Geoinformation - 2023

Editor: Elsevier B.V.

10.1016/j.jag.2023.103274 Ver en origen

  • ISSN/ISBN 1872-826X

Modelling forest canopy height by integrating airborne LiDAR samples with satellite Radar and multispectral imagery

  • García, M.
  • Saatchi, S.
  • Ustin, S.
  • Balzter, H.

International Journal of Applied Earth Observation and Geoinformation (p. 159-173) - 2018

Editor: Elsevier B.V.

10.1016/j.jag.2017.11.017 Ver en origen

  • ISSN/ISBN 1872-826X

Terrestrial laser scanning to estimate plot-level forest canopy fuel properties

  • García, M.
  • Danson, F.M.
  • Riaño, D.
  • Chuvieco, E.
  • Ramirez, F.A.
  • Bandugula, V.

International Journal of Applied Earth Observation and Geoinformation (p. 636-645) - 2011

Editor: Elsevier B.V.

10.1016/j.jag.2011.03.006 Ver en origen

  • ISSN/ISBN 1569-8432

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

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

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

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

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

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