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

    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

  27. 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

  28. 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

  29. 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

  30. 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

  31. 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

  32. 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 journal › Article › peer-review

  33. 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 journal › Article › peer-review

  34. 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 journal › Article › peer-review

  35. 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 journal › Article › peer-review

  36. 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 journal › Article › peer-review

  37. 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 journal › Article › peer-review

  38. 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 journal › Article › peer-review

  39. 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 journal › Article › peer-review

  40. 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 journal › Article › peer-review

  41. 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 journal › Article › peer-review

  42. 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 journal › Article › peer-review

  43. 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 journal › Article › peer-review

  44. 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 journal › Article › peer-review

  45. 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 journal › Article › peer-review

  46. 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 journal › Article › peer-review

  47. 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 journal › Article › peer-review

  48. 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 journal › Article › peer-review

  49. 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 journal › Article › peer-review

  50. 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 journal › Article › peer-review

  51. 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 journal › Article › peer-review

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