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.

1 - 25 out of 69Page size: 25
Sort by: Type
  1. Article › Research › Peer-reviewed
  2. Published

    A Conceptual Model for Detecting Small-Scale Forest Disturbances Based on Ecosystem Morphological Traits

    Stoddart, J., Almeida, D., Silva, C. A., Gorgens, E. B., Keller, M. & Valbuena, R., 15 Feb 2022, In: Remote Sensing. 14, 4

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

  3. Published

    A Simple Approach of Groundwater Quality Analysis, Classification, and Mapping in Peshawar, Pakistan

    Adnan, S., Iqbal, J., Maltamo, M., Bacha, M. S., Shahab, A. & Valbuena, R., 7 Dec 2019, In: Environments. 6, 12

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

  4. A method for optimizing height threshold when computing airborne laser scanning metrics

    Gorgens, E. B., Valbuena, R. & Rodriguez, L. C. E., 1 May 2017, In: Photogrammetric Engineering and Remote Sensing. 83, 5, p. 343-350 8 p.

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

  5. Published

    A new era in forest restoration monitoring

    de Almeida, D. R. A., Stark, S. C., Valbuena, R., Broadbent, E. N., Silva, T. S. F., de Resende, A. F., Ferreira, M. P., Cardil, A., Silva, C. A., Amazonas, N., Zambrano, A. M. A. & Brancalion, P. H. S., 30 Jan 2020, In: Restoration Ecology. 28, 1, p. 8-11 4 p.

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

  6. A simple approach to forest structure classification using airborne laser scanning that can be adopted across bioregions

    Adnan, S., Maltamo, M., Coomes, D. A., García-Abril, A., Malhi, Y., Manzanera, J. A., Butt, N., Morecroft, M. & Valbuena, R., 15 Feb 2019, In: Forest Ecology and Management. 433, p. 111 - 121

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

  7. Published

    Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission

    Duncanson, L., Kellner, J. R., Armston, J., Dubayah, R., Minor, D. M., Hancock, S., Healey, S. P., Patterson, P. L., Saarela, S., Marselis, S., Silva, C. E., Bruening, J., Goetz, S. J., Tang, H., Hofton, M., Blair, B., Luthcke, S., Fatoyinbo, L., Abernethy, K., Alonso, A., Andersen, H-E., Aplin, P., Baker, T. R., Barbier, N., Bastin, J. F., Biber, P., Boeckx, P., Bogaert, J., Boschetti, L., Boucher, P. B., Boyd, D. S., Burslem, D. F. R. P., Calvo-Rodriguez, S., Chave, J., Chazdon, R. L., Clark, D. B., Clark, D. A., Cohen, W. B., Coomes, D. A., Corona, P., Cushman, K. C., Cutler, M. E. J., Dalling, J. W., Dalponte, M., Dash, J., de-Miguel, S., Deng, S., Ellis, P. W., Erasmus, B., Fekety, P. A., Fernandez-Landa, A., Ferraz, A., Fischer, R., Fisher, A. G., García-Abril, A., Gobakken, T., Hacker, J. M., Heurich, M., Hill, R. A., Hopkinson, C., Huang, H., Hubbell, S. P., Hudak, A. T., Huth, A., Imbach, B., Jeffery, K. J., Katoh, M., Kearsley, E., Kenfack, D., Kljun, N., Knapp, N., Král, K., Krůček, M., Labrière, N., Lewis, S. L., Longo, M., Lucas, R. M., Main, R., Manzanera, J. A., Martínez, R. V., Mathieu, R., Memiaghe, H., Meyer, V., Mendoza, A. M., Monerris, A., Montesano, P., Morsdorf, F., Næsset, E., Naidoo, L., Nilus, R., O’Brien, M., Orwig, D. A., Papathanassiou, K., Parker, G., Philipson, C., Phillips, O. L., Pisek, J., Poulsen, J. R., Pretzsch, H., Rüdiger, C., Saatchi, S., Sanchez-Azofeifa, A., Sanchez-Lopez, N., Scholes, R., Silva, C. A., Simard, M., Skidmore, A., Stereńczak, K., Tanase, M., Torresan, C., Valbuena, R., Verbeeck, H., Vrska, T., Wessels, K., White, J. C., White, L. J. T., Zahabu, E. & Zgraggen, C., 2022, In: Remote Sensing of Environment. 270

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

  8. Accuracy and precision of GPS receivers under forest canopies in a mountainous environment [Exactitud y precisiońn de receptores GPS bajo cubiertas forestales en ambientes montañosos]

    Valbuena, R., Mauro, F., Rodriguez-Solano, R. & Manzanera, J. A., 2010, In: Spanish Journal of Agricultural Research. 8, 4, p. 1047-1057 11 p.

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

  9. Airborne laser scanning for tree diameter distribution modelling: a comparison of different modelling alternatives in a tropical single-species plantation

    Maltamo, M., Mehtatalo, L., Valbuena, R., Vauhkonen, J. & Packalen, P., Jan 2018, In: Forestry. 91, 1, p. 121-131

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

  10. Published

    Analysis of Mediterranean Vegetation Fuel Type Changes Using Multitemporal LiDAR

    García-Cimarras, A., Manzanera, J. A. & Valbuena, R., 12 Mar 2021, In: Forests. 12, 3

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

  11. Published

    Automated operational logging plan considering multi-criteria optimization

    Görgens, E. B., Mund, J-P., Cremer, T., Conto, T. D., Krause, S., Valbuena, R. & Rodriguez, L. C. E., 1 Mar 2020, In: Computers and Electronics in Agriculture. 170, p. 105253 1 p.

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

  12. Published

    Beyond trees: Mapping total aboveground biomass density in the Brazilian savanna using high-density UAV-lidar data

    Costa, M. B. T. D., Silva, C. A., Broadbent, E. N., Leite, R. V., Mohan, M., Liesenberg, V., Stoddart, J., Amaral, C. H. D., Almeida, D. R. A. D., Silva, A. L. D., Goya, L. R. R. Y., Cordeiro, V. A., Rex, F., Hirsch, A., Marcatti, G. E., Cardil, A., Mendonça, B. A. F. D., Hamamura, C., Corte, A. P. D., Matricardi, E. A. T., Hudak, A. T., Zambrano, A. M. A., Valbuena, R., Faria, B. L. D., Junior, C. H. L. S., Aragao, L., Ferreira, M. E., Liang, J., Carvalho, S. D. P. C. E. & Klauberg, C., 1 Jul 2021, In: Forest Ecology and Management. 491, p. 119155 1 p.

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

  13. Canonical correlation analysis for interpreting airborne laser scanning metrics along the lorenz curve of tree size inequality

    Valbuena, R., Packalen, P., Tokola, T. & Maltamo, M., 2014, In: Baltic Forestry. 20, 2, p. 326-332 7 p.

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

  14. Characterizing forest structural types and shelterwood dynamics from Lorenz-based indicators predicted by airborne laser scanning

    Valbuena, R., Packalen, P., Mehtätalo, L., García-Abril, A. & Maltamo, M., 2013, In: Canadian Journal of Forest Research. 43, 11, p. 1063-1074 12 p.

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

  16. Classification of multilayered forest development classes from low-density national airborne lidar datasets

    Valbuena, R., Maltamo, M. & Packalen, P., Aug 2016, In: Forestry. 89, 4, p. 392-401 10 p.

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

  17. Published

    Combined Impact of Sample Size and Modeling Approaches for Predicting Stem Volume in Eucalyptus spp. Forest Plantations Using Field and LiDAR Data

    Silva, V. S. D., Silva, C. A., Mohan, M., Cardil, A., Rex, F. E., Loureiro, G. H., Almeida, D. R. A. D., Broadbent, E. N., Gorgens, E. B., Dalla Corte, A. P., Silva, E. A., Valbuena, R. & Klauberg, C., 1 May 2020, In: Remote Sensing. 12, 9

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

  18. Comparing airborne laser scanning-imagery fusion methods based on geometric accuracy in forested areas

    Valbuena, R., Mauro, F., Arjonilla, F. J. & Manzanera, J. A., 15 Aug 2011, In: Remote Sensing of Environment. 115, 8, p. 1942-1954 13 p.

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

  19. Published

    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., Dalla Corte, A. P., Klauberg, C., Mohan, M., Cardil, A., Silva, V. S. D., Almeida, D. R. A. D., Garcia, M., Broadbent, E. N., Valbuena, R., Stoddart, J., Merrick, T. & Hudak, A. T., 8 May 2020, In: Remote Sensing. 12, 9, 1498.

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

  20. Comparison of airborne laser scanning methods for estimating forest structure indicators based on Lorenz curves

    Valbuena, R., Vauhkonen, J., Packalen, P., Pitkanen, J. & Maltamo, M., Sept 2014, In: ISPRS Journal of Photogrammetry and Remote Sensing. 95, p. 23-33

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

  21. Published

    Concerns about reported harvests in European forests

    Palahí, M., Valbuena, R., Senf, C., Acil, N., Pugh, T. A. M., Sadler, J., Seidl, R., Potapov, P., Gardiner, B., Hetemäki1, L., Chirici, G., Francini, S., Hlásny, T., Lerink, B. J. W., Olsson, H., Olabarria, J. R. G., Ascoli, D., Asikainen, A., Bauhus, J., Berndes, G., Donis, J., Fridman, J., Hanewinkel, M., Jactel, H., Lindner, M., Marchetti, M., Marušák, R., Sheil, D., Tomé, M., Trasobares, A., Verkerk, P. J., Korhonen, M. & Nabuurs, G-J., 29 Apr 2021, In: Nature. 592, 7856, p. E15-E17

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

  22. 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

  23. 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

  24. 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

  25. 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

  26. 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

Previous 1 2 3 Next