García Alonso, Mariano

Actividades

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 - 2020

Editor: MDPI AG

10.3390/rs12101596 Ver en origen

  • ISSN/ISBN 2072-4292

Identifying post-fire recovery trajectories and driving factors using landsat time series in fire-prone mediterranean pine forests

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

Remote Sensing - 2020

Editor: MDPI AG

10.3390/rs12091499 Ver en origen

  • ISSN/ISBN 2072-4292

Identifying Forest Structural Types along an Aridity Gradient in Peninsular Spain: Integrating Low-Density LiDAR, Forest Inventory, and Aridity Index

  • Tijerín-Triviño, J.
  • Moreno-Fernández, D.
  • Zavala, M.A.
  • Astigarraga, J.
  • García, M.

Remote Sensing - 2022

Editor: MDPI

10.3390/rs14010235 Ver en origen

  • ISSN/ISBN 2072-4292

Woody aboveground biomass mapping of the brazilian savanna with a multi-sensor and machine learning approach

  • da Conceição Bispo, P.
  • Rodríguez-Veiga, P.
  • Zimbres, B.
  • do Couto de Miranda, S.
  • Giusti Cezare, C.H.
  • Fleming, S.
  • Baldacchino, F.
  • Louis, V.
  • Rains, D.
  • Garcia, M.
  • Del Bon Espírito-Santo, F.
  • Roitman, I.
  • Pacheco-Pascagaza, A.M.
  • Gou, Y.
  • Roberts, J.
  • Barrett, K.
  • Ferreira, L.G.
  • Shimbo, J.Z.
  • Alencar, A.
  • Bustamante, M.
  • Woodhouse, I.H.
  • Sano, E.E.
  • Ometto, J.P.
  • Tansey, K.
  • Balzter, H.
... Ver más Contraer

Remote Sensing - 2020

Editor: MDPI AG

10.3390/rs12172685 Ver en origen

  • ISSN/ISBN 2072-4292

Comparison of statistical modelling approaches for estimating tropical forest aboveground biomass stock and reporting their changes in low-intensity logging areas using multi-temporal LiDAR data

  • Rex, F.E.
  • Silva, C.A.
  • Corte, A.P.D.
  • Klauberg, C.
  • Mohan, M.
  • Cardil, A.
  • da Silva, V.S.
  • de Almeida, D.R.A.
  • Garcia, M.
  • Broadbent, E.N.
  • Valbuena, R.
  • Stoddart, J.
  • Merrick, T.
  • Hudak, A.T.
... Ver más Contraer

Remote Sensing - 2020

Editor: MDPI AG

10.3390/rs12091498 Ver en origen

  • ISSN/ISBN 2072-4292

Carbon dynamics in a human-modified tropical forest: A case study using multi-temporal LiDAR data

  • de Moura, Y.M.
  • Balzter, H.
  • Galvão, L.S.
  • Dalagnol, R.
  • Espírito-Santo, F.
  • Santos, E.G.
  • Garcia, M.
  • da Conceição Bispo, P.
  • Oliveira, R.C.
  • Shimabukuro, Y.E.
... Ver más Contraer

Remote Sensing - 2020

Editor: MDPI AG

10.3390/rs12030430 Ver en origen

  • ISSN/ISBN 2072-4292

Discrimination of canopy structural types in the Sierra Nevada Mountains in central California

  • Huesca, M.
  • Roth, K.L.
  • García, M.
  • Ustin, S.L.

Remote Sensing - 2019

Editor: MDPI AG

10.3390/rs11091100 Ver en origen

  • ISSN/ISBN 2072-4292

Impacts of airborne lidar pulse density on estimating biomass stocks and changes in a selectively logged tropical forest

  • Silva, C.A.
  • Hudak, A.T.
  • Vierling, L.A.
  • Klauberg, C.
  • Garcia, M.
  • Ferraz, A.
  • Keller, M.
  • Eitel, J.
  • Saatchi, S.
... Ver más Contraer

Remote Sensing - 2017

Editor: MDPI AG

10.3390/rs9101068 Ver en origen

  • ISSN/ISBN 2072-4292

Extrapolating forest canopy fuel properties in the California Rim fire by combining airborne LiDAR and landsat OLI data

  • García, M.
  • Saatchi, S.
  • Casas, A.
  • Koltunov, A.
  • Ustin, S.L.
  • Ramirez, C.
  • Balzter, H.
... Ver más Contraer

Remote Sensing - 2017

Editor: MDPI AG

10.3390/rs9040394 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

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