Professor Ruben Valbuena

Honorary Professor

Affiliations

Contact info

Room: G19, Thoday Building, School of Natural Sciences, Bangor University

Email: r.valbuena@bangor.ac.uk

Phone: +44 (0)1248 38 2445

Web: GoogleScholar, ResearchGate, Publons

My work consists in the use of big data to answer ecological questions at the ecosystem community and landscape levels. I use remote sensing data, LIDAR in particular, due to its great potential for analysing structural and morphological traits of ecosystems, and thus estimate carbon stocks, ecosystem services, or habitat suitability for species. During the last seven years, I have pioneer adaptations of methods based on Lorenz curves to forest science and remote sensing; work awarded with the International Union of Forest Researchers (IUFRO) 2019’s Outstanding Doctoral Research Award.

  1. Article › Research › Peer-reviewed
  2. Diversity and equitability ordering profiles applied to study forest structure

    Valbuena, R., Packalén, P., Martín-Fernández, S. & Maltamo, M., 2012, In: Forest Ecology and Management. 276, p. 185-195 11 p.

    Research output: Contribution to journalArticlepeer-review

  3. Effects of plot size, stand density, and scan density on the relationship between airborne laser scanning metrics and the Gini coefficient of tree size inequality

    Adnan, S., Maltamo, M., Coomes, D. A. & Valbuena, R., Dec 2017, In: Canadian Journal of Forest Research. 47, 12, p. 1590-1602

    Research output: Contribution to journalArticlepeer-review

  4. Enhancing of accuracy assessment for forest above-ground biomass estimates obtained from remote sensing via hypothesis testing and overfitting evaluation

    Valbuena, R., Hernando, A., Manzanera, J. A., Gorgens, E. B., Almeida, D. R. A., Mauro, F., Garcia-Abril, A. & Coomes, D. A., 24 Dec 2017, In: Ecological Modelling. 366, p. 15-26

    Research output: Contribution to journalArticlepeer-review

  5. Published

    Estimation of forest biomass components using airborne LiDAR and multispectral sensors

    Hernando, A., Puerto, L., Mola-Yudego, B., Antonio Manzanera, J., Garcia-Abril, A., Maltamo, M. & Valbuena, R., 30 Apr 2019, In: iForest. 12, p. 207-213

    Research output: Contribution to journalArticlepeer-review

  6. Published

    Evaluating observed versus predicted forest biomass: R-squared, index of agreement or maximal information coefficient?

    Valbuena, R., Hernando, A., Manzanera, J. A., Gorgens, E. B., Alves de Almeida, D. R., Silva, C. A. & Garcia-Abril, A., 31 May 2019, In: European Journal of Remote Sensing. 52, 1, p. 345-358 14 p.

    Research output: Contribution to journalArticlepeer-review

  7. Published

    Evaluating tropical forest classification and field sampling stratification from lidar to reduce effort and enable landscape monitoring

    Papa, D. D. A., Almeida, D. R. A. D., Silva, C. A., Figueiredo, E. O., Stark, S. C., Valbuena, R., Rodriguez, L. C. E. & Oliveira, M. V. N. D., 1 Feb 2020, In: Forest Ecology and Management. 457, 117634.

    Research output: Contribution to journalArticlepeer-review

  8. Forest canopy height retrieval using LiDAR data, medium-resolution satellite imagery and kNN estimation in Aberfoyle, Scotland

    McInerney, D. O., Suarez-Minguez, J., Valbuena, R. & Nieuwenhuis, M., Apr 2010, In: Forestry. 83, 2, p. 195-206 12 p.

    Research output: Contribution to journalArticlepeer-review

  9. Published

    ForestGapR: An r Package for forest gap analysis from canopy height models

    Silva, C. A., Valbuena, R., Pinage, E. R., Mohan, M., Alves de Almeida, D. R., Broadbent, E. N., Jaafar, W. S. W. M., de Almeida Papa, D., Cardil, A. & Klauberg, C., 31 Aug 2019, In: Methods in Ecology and Evolution. 10, 8, p. 1347-1356

    Research output: Contribution to journalArticlepeer-review

  10. Fusion of airborne LiDAR and multispectral sensors reveals synergic capabilities in forest structure characterization

    Manzanera, J. A., García-Abril, A., Pascual, C., Tejera, R., Martín-Fernández, S., Tokola, T. & Valbuena, R., 2016, In: GIScience and Remote Sensing. 53, 6, p. 723-738 16 p.

    Research output: Contribution to journalArticlepeer-review

  11. GIS-based DRASTIC model for groundwater vulnerability and pollution risk assessment in the Peshawar District, Pakistan

    Adnan, S., Iqbal, J., Maltamo, M. & Valbuena, R., Aug 2018, In: Arabian Journal of Geosciences. 11, 16

    Research output: Contribution to journalArticlepeer-review

  12. Gini coefficient predictions from airborne lidar remote sensing display the effect of management intensity on forest structure

    Valbuena, R., Eerikäinen, K., Packalen, P. & Maltamo, M., Jan 2016, In: Ecological Indicators. 60, p. 574-585 12 p.

    Research output: Contribution to journalArticlepeer-review

  13. Published

    Global analysis of the relationship between reconstructed solar induced chlorophyll fluorescence (SIF) and gross primary production (GPP)

    Gao, H., Liu, S., Lu, W., Smith, A., Valbuena, R., Yan, W., Wang, Z., Xiao, L., Peng, X., Li, Q., Feng, Y., McDonald, M., Pagella, T., Liao, J., Wu, Z. & Zhang, G., 18 Jul 2021, In: Remote Sensing. 13, 14

    Research output: Contribution to journalArticlepeer-review

  14. How to integrate remotely sensed data and biodiversity for ecosystem assessments at landscape scale

    Vihervaara, P., Mononen, L., Auvinen, A-P., Virkkala, R., Lu, Y., Pippuri, I., Packalen, P., Valbuena, R. & Valkama, J., Mar 2015, In: Landscape Ecology. 30, 3, p. 501-516

    Research output: Contribution to journalArticlepeer-review

  15. Published

    Impacts of selective logging on Amazon forest canopy structure and biomass with a LiDAR and photogrammetric survey sequence

    d'Oliveira, M. V. N., Figueiredo, E. O., Almeida, D. R. A. D., Oliveira, L. C., Silva, C. A., Nelson, B. W., Cunha, R. M. D., Papa, D. D. A., Stark, S. C. & Valbuena, R., 15 Nov 2021, In: Forest Ecology and Management. 500, 119648.

    Research output: Contribution to journalArticlepeer-review

  16. Influence of global navigation satellite system errors in positioning inventory plots for treeheight distribution studies

    Mauro, F., Valbuena, R., Manzanera, J. A. & García-Abril, A., 2011, In: Canadian Journal of Forest Research. 41, 1, p. 11-23 13 p.

    Research output: Contribution to journalArticlepeer-review

  17. Influence of the resolution of forest cover maps in evaluating fragmentation and connectivity to assess habitat conservation status

    Hernando, A., Velázquez, J., Valbuena, R., Legrand, M. & García-Abril, A., Aug 2017, In: Ecological Indicators. 79, p. 295-302 8 p.

    Research output: Contribution to journalArticlepeer-review

  18. Key structural features of Boreal forests may be detected directly using L-moments from airborne lidar data

    Valbuena, R., Maltamo, M., Mehtatalo, L. & Packalen, P., 1 Jun 2017, In: Remote Sensing of Environment. 194, p. 437-446

    Research output: Contribution to journalArticlepeer-review

  19. Published

    Large scale multi-layer fuel load characterization in tropical savanna using GEDI spaceborne lidar data

    Leite, R. V., Silva, C. A., Broadbent, E. N., Amaral, C. H. D., Liesenberg, V., Almeida, D. R. A. D., Mohan, M., Godinho, S., Cardil, A., Hamamura, C., Faria, B. L. D., Brancalion, P. H. S., Hirsch, A., Marcatti, G. E., Dalla Corte, A. P., Zambrano, A. M. A., Costa, M. B. T. D., Matricardi, E. A. T., Silva, A. L. D., Goya, L. R. R. Y., Valbuena, R., Mendonça, B. A. F. D., Silva Junior, C. H. L., Aragão, L. E. O. C., García, M., Liang, J., Merrick, T., Hudak, A. T., Xiao, J., Hancock, S., Duncason, L., Ferreira, M. P., Valle, D., Saatchi, S. & Klauberg, C., Jan 2022, In: Remote Sensing of Environment. 268, 112764.

    Research output: Contribution to journalArticlepeer-review

  20. Published

    Long-term satellite observations show continuous increase of vegetation growth enhancement in urban environment

    Peng, X., Jiang, S., Liu, S., Valbuena, R., Smith, A., Zhan, Y., Shi, Y., Ning, Y., Feng, S., Gao, H. & Wang, Z., 10 Nov 2023, In: Science of the Total Environment. 898, 165515.

    Research output: Contribution to journalArticlepeer-review

  21. Published

    Mapping forest structural heterogeneity of tropical montane forest remnants from airborne laser scanning and Landsat time series

    Adhikari, H., Valbuena, R., Pellikka, P. K. E. & Heiskanen, J., 1 Jan 2020, In: Ecological Indicators. 108, 105739.

    Research output: Contribution to journalArticlepeer-review

  22. Mapping wood production in European forests

    Verkerk, P. J., Levers, C., Kuemmerle, T., Lindner, M., Valbuena, R., Verburg, P. H. & Zudin, S., 1 Dec 2015, In: Forest Ecology and Management. 357, p. 228-238

    Research output: Contribution to journalArticlepeer-review

  23. Modeling Mediterranean forest structure using airborne laser scanning data

    Bottalico, F., Chirici, G., Giannini, R., Mele, S., Mura, M., Puxeddu, M., McRobert, R. E., Valbuena, R. & Travaglini, D., 31 May 2017, In: International Journal of Applied Earth Observation and Geoinformation. 57, p. 145-153 9 p.

    Research output: Contribution to journalArticlepeer-review

  24. Published

    Monitoring restored tropical forest diversity and structure through UAV-borne hyperspectral and lidar fusion

    Almeida, D. R. A. D., Broadbent, E. N., Ferreira, M. P., Meli, P., Zambrano, A. M. A., Gorgens, E. B., Resende, A. F., Almeida, C. T. D., Amaral, C. H. D., Corte, A. P. D., Silva, C. A., Romanelli, J. P., Prata, G. A., Papa, D. D. A., Stark, S. C., Valbuena, R., Nelson, B. W., Guillemot, J., Féret, J-B., Chazdon, R. & Brancalion, P. H. S., Oct 2021, In: Remote Sensing of Environment. 264, 1 p., 112582.

    Research output: Contribution to journalArticlepeer-review

  25. Most similar neighbor imputation of forest attributes using metrics derived from combined airborne LIDAR and multispectral sensors

    Valbuena, R., Hernando, A., Manzanera, J. A., Martínez-Falero, E., García-Abril, A. & Mola-Yudego, B., 2018, In: International Journal of Digital Earth. 11, 12, p. 1205-1218 14 p.

    Research output: Contribution to journalArticlepeer-review

  26. Optimizing the remote detection of tropical rainforest structure with airborne lidar: Leaf area profile sensitivity to pulse density and spatial sampling

    de Almeida, D. R. A., Stark, S. C., Shao, G., Schietti, J., Nelson, B. W., Silva, C. A., Gorgens, E. B., Valbuena, R., Papa, D. D. A. & Brancalion, P. H. S., 7 Jan 2019, In: Remote Sensing. 11, 1, 92.

    Research output: Contribution to journalArticlepeer-review