Research Portal

Professor Ruben Valbuena

Honorary Professor

Affiliations

ORCID: 0000-0003-0493-7581

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.

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  1. Article › Research › Peer-reviewed
  2. Published

    Continuous Cover Forestry and Remote Sensing : A Review of Knowledge Gaps, Challenges, and Potential Directions

    Stoddart, J., Suarez, J., Mason, W. & Valbuena, R., Dec 2023, In: Current Forestry Reports. 9, 6, p. 490-501 12 p.

    Research output: Contribution to journal › Article › peer-review

  3. Contrasting fire damage and fire susceptibility between seasonally flooded forest and upland forest in the Central Amazon using portable profiling LiDAR

    Alves de Almeida, D. R., Nelson, B. W., Schietti, J., Gorgens, E. B., Resende, A. F., Stark, S. C. & Valbuena, R., Oct 2016, In: Remote Sensing of Environment. 184, p. 153-160

    Research output: Contribution to journal › Article › peer-review

  4. Published

    Current Trends in Forest Ecological Applications of Three-Dimensional Remote Sensing: Transition from Experimental to Operational Solutions?

    Latifi, H. & Valbuena, R., 9 Oct 2019, In: Forests. 10, 10

    Research output: Contribution to journal › Article › peer-review

  5. Published

    Detecting successional changes in tropical forest structure using GatorEye drone-borne lidar

    Alves de Almeida, D. R., Almeyda Zambrano, A. M., Broadbent, E. N., Wendt, A. L., Foster, P., Wilkinson, B. E., Salk, C., Papa, D. D. A., Stark, S. C., Valbuena, R., Gorgens, E. B., Silva, C. A., Santin Brancalion, P. H., Fagan, M., Meli, P. & Chazdon, R., Nov 2020, In: Biotropica. 52, 6, p. 1155-1167 13 p.

    Research output: Contribution to journal › Article › peer-review

  6. Published

    Determining maximum entropy in 3D remote sensing height distributions and using it to improve aboveground biomass modelling via stratification

    Adnan, S., Maltamo, M., Mehtätalo, L., Ammaturo, R. N. L., Packalen, P. & Valbuena, R., Jul 2021, In: Remote Sensing of Environment. 260, p. 112464 1 p.

    Research output: Contribution to journal › Article › peer-review

  7. 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 journal › Article › peer-review

  8. 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 journal › Article › peer-review

  9. 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 journal › Article › peer-review

  10. 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 journal › Article › peer-review

  11. 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 journal › Article › peer-review

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