My Publications

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International Journals

1. H. A. Imran, K. Sakowska, D. Gianelle, D. Rocchini, M. Dalponte, M. Scotton and L. Vescovo, "Assessing Plant Traits Diversity as Indicators of Species α and β Diversity in a subalpine grassland of the Italian Alps," Remote Sensing in Ecology and Conservation, 2023. PDF

2. D. Marinelli, M. Dalponte, L. Frizzera, E. Næsset, D. Gianelle, "A method for continuous sub-annual mapping of forest disturbances using optical time series, " Remote Sensing of Environment," Vol. 299, 2023. PDF

3. D. Andreatta, C. Bachofen, M. Dalponte, V. H. Klaus, N. Buchmann, "Extracting flowering phenology from grassland species mixtures using time-lapse cameras," Remote Sensing of Environment, Vol. 298, 2023. PDF

4. M. Dalponte, Y. T. Solano-Correa, D. Marinelli, S. Liu, N. Yokoya, D. Gianelle, "Detection of forest windthrows with bitemporal COSMO-SkyMed and Sentinel-1 SAR data," Remote Sensing of Environment, Vol. 297, 2023. PDF

5. F. Reyes, R. Casa, M. Tolomio, M. Dalponte, N. Mzid, "Soil properties zoning of agricultural fields based on a climate-driven spatial clustering of remote sensing time series data," European Journal of Agronomy, Vol. 150, 2023. PDF

6. E. Hansen, J. Wold, M. Dalponte, T. Gobakken, L. Noordermeer, H. O. Ørka, "Estimation of the occurrence, severity, and volume of heartwood rot using airborne laser scanning and optical satellite data," European Journal of Remote Sensing, Vol. 56, No. 1, 2023. PDF

7. M. Dalponte, R. Cetto, D. Marinelli, D. Andreatta, C. Salvadori, F. Pirotti, L. Frizzera, D. Gianelle, "Spectral separability of bark beetle infestation stages: A single-tree time-series analysis using Planet imagery," Ecological Indicators, Vol. 153, 2023. PDF

8. P. Naik, M. Dalponte,  L. Bruzzone, "Automated Machine Learning Driven Stacked Ensemble Modelling for Forest Aboveground Biomass Prediction Using Multitemporal Sentinel-2 Data," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 16, pp. 3442 - 3454 , 2022. PDF

9. L. Beese, M. Dalponte, G. P. Asner, D. A. Coomes and T. Jucker, "Using repeat airborne LiDAR to map the growth of individual oil palms in Malaysian Borneo during the 2015–16 El Niño, " International Journal of Applied Earth Observation and Geoinformation, Vol. 115, 2022. PDF

10. D. Rocchini, M. J. Santos, S. L. Ustin, J.-B. Feret, G. P. Asner, C. Beierkuhnlein, M. Dalponte, H. Feilhauer, G. M. Foody, G. N. Geller, T. W. Gillespie, K. S. He, D. Kleijn, P. J. Leitao, M. Malavasi, V. Moudry, J. Mullerova, H. Nagendra, S. Normand, C. Ricotta, M. E. Schaepman, S. Schmidtlein, A. K. Skidmore, P. Sımova, M. Torresani, P. A. Townsend, W. Turner, P. Vihervaara, M. Wegmann, and J. Lenoir, "The spectral species concept in living color,"  Journal of Geophysical Research - Biogeosciences, Vol. 127, No. 9, 2022. PDF

11. B. Allen, M. Dalponte, H. O. Ørka, Erik Næsset, S. Puliti, R. Astrup and T. Gobakken, "UAV-Based Hyperspectral Imagery for Detection of Root, Butt, and Stem Rot in Norway Spruce" Remote Sensing, Vol. 14, No. 15, 2022. PDF

12. M. Dalponte, Y. T. Solano-Correa, L. Frizzera, D. Gianelle, "Mapping a European spruce bark beetle outbreak using Sentinel-2 remote sensing data," Remote Sensing, Vol. 14, No. 13, 2022. PDF

13. D. Andreatta, D. Gainelle, M. Scotton, M. Dalponte, "Estimating grassland vegetation cover with remote sensing: a comparison between Landsat-8, Sentinel-2 and PlanetScope imagery," Ecological Indicators, Vol. 141, 2022. PDF

14. T. Jucker, F. J. Fischer, J. Chave, D. A. Coomes, J. Caspersen, A. Ali, G. J. Loubota Panzou, T. R. Feldpausch, D. Falster, V. A. Usoltsev, S. Adu-Bredu, L. F. Alves, M. Aminpour, I. B. Angoboy, N. P. R. Anten, C. Antin, Y. Askari, R. Muñoz Avilés, N. Ayyappan, P. Balvanera, L. Banin, N. Barbier, J. J. Battles, H. Beeckman, Y. E. Bocko, B. Bond-Lamberty, F. Bongers, S. Bowers, T. Brade, M. van Breugel, A. Chantrain, R. Chaudhary, J. Dai, M. Dalponte, K. Dimobe, J.-C. Domec, J.-L. Doucet, R. A. Duursma, M. Enríquez, K. Y. van Ewijk, W. Farfán-Rios, A. Fayolle, E. Forni, D. I. Forrester, H. Gilani, J. L. Godlee, S. Gourlet-Fleury, M. Haeni, J. S. Hall, J.-K. He, A. Hemp, J. L. Hernández-Stefanoni, S. I. Higgins, R. J. Holdaway, K. Hussain, L. B. Hutley, T. Ichie, Y. Iida, H. Jiang, P. Raj Joshi, H. Kaboli, M. Kazempour Larsary, T. Kenzo, B. D. Kloeppel, T. Kohyama, S. Kunwar, S. Kuyah, J. Kvasnica, S. Lin, E. R. Lines, H. Liu, C. Lorimer, J.-J. Loumeto, Y. Malhi, P. L. Marshall, E. Mattsson, R. Matula, J. A. Meave, S. Mensah, X. Mi, S. Momo, G. R. Moncrieff, F. Mora, S. P. Nissanka, K. L. O'Hara, S. Pearce, R. Pelissier, P. L. Peri, P. Ploton, L. Poorter, M. Javanmiri Pour, H. Pourbabaei, J. M. Dupuy Rada, S. C. Ribeiro, C. Ryan, A. Sanaei, J. Sanger, M. Schlund, G. Sellan, A. Shenkin, B. Sonké, F. J. Sterck, M. Svátek, K. Takagi, A. T. Trugman, F. Ullah, M. A. Vadeboncoeur, A. Valipour, M. C. Vanderwel, A. G. Vovides, W. Wang, L.-Q. Wang, C. Wirth, M. Woods, W. Xiang, F. de A. Ximenes, Y. Xu, T. Yamada and M. A. Zavala, "Tallo – a global tree allometry and crown architecture database," Global Change Biology, 2022. PDF

15. P. Naik, M. Dalponte, L. Bruzzone, "Generative Feature Extraction from Sentinel 1 and 2 data for Prediction of Forest Aboveground Biomass in the Italian Alps," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 15, 2022. PDF

16. M. Dalponte, Y. T. Solano-Correa, H. O. Ørka, E. Næsset, T. Gobakken, "Detection of heartwood rot in Norway spruce trees with lidar and multi-temporal satellite data," International Journal of Applied Earth Observation and Geoinformation, Vol. 109, May 2022. PDF

17. M. Dalponte, A. J.I. Kallio, H. O. Ørka, E. Næsset, T. Gobakken, "Wood decay detection in Norway spruce forests based on airborne hyperspectral and ALS data," Remote Sensing, Vol. 14, No. 8, 2022. PDF

18. B. Allen, M. Dalponte, A. M. Hietala, H. O. Ørka, E. Næsset, T. Gobakken, "Detection of Root, Butt, and Stem Rot presence in Norway Spruce with hyperspectral imagery" Silva Fennica, Vol. 56, No. 2, 2022. PDF 

19. D. Andreatta, D. Gianelle, M. Scotton, L. Vescovo, M. Dalponte, "Detection of grassland mowing frequency using time series of vegetation indices from Sentinel-2 imagery," GIScience & Remote Sensing, Vol. 59, No.1,  pp. 481-500, 2022.  PDF

20. L. Duncanson, J. R. Kellner, J. Armston, R. Dubayah, D. M. Minor, S. Hancock, S. P. Healey, P. L. Patterson, S. Saarela, S. Marselis, C. E. Silva, J. Bruening, S. J. Goetz, H. Tang, M. Hofton, B. Blair, S. Luthcke, L. Fatoyinbo, K. Abernethy, A. Alonso, H.-E. Andersen, P. Aplin, T. R. Baker, N. Barbier, J. F. Bastin, P. Biber, P. Boeckx, J. Bogaert, L. Boschetti, P. Brehm Boucher, D. S. Boyd, D. F.R.P. Burslem, S. Calvo-Rodriguez, J. Chave, R. L. Chazdon, D. B. Clark, D. A. Clark, W. B. Cohen, D. A. Coomes, P. Corona, K.C. Cushman, M. E.J. Cutler, J. W. Dalling, M. Dalponte, J. Dash, S. de-Miguel, S. Denga, P. Woods Ellis, B. Erasmus, P. A. Fekety, A. Fernandez-Landa, A. Ferraz, R. Fischer, A. G. Fisher, A. García-Abril, T. Gobakken, J. M. Hacker, M. Heurich, R. A. Hill, C. Hopkinson, H. Huang, S. P. Hubbell, A. T. Hudak, A. Huth, B. Imbach, K. J. Jeffery, M. Katoh, E. Kearsley, D. Kenfack, N. Kljun, N. Knapp, K. KralKljun, M. Krucek, N. Labrière, S. L. Lewis, M. Longo, R. M. Lucas, R. Main, J. A. Manzanera, R. Vásquez Martínez, R. Mathieu, H. Memiaghe, V. Meyer, A. Monteagudo Mendoza, A. Monerris, P. Montesano, F. Morsdorf, E. Næsset, L. Naidoo, R. Nilus, M. O'Brien, D. A. Orwig, K. Papathanassiou, G. Parker, C. Philipson, O. L. Phillips, J. Pisek, J. R. Poulsen, H. Pretzsch, C. Rüdiger, S. Saatchi, A. Sanchez-Azofeifa, N. Sanchez-Lopez, R. Scholes, C. A. Silva, M. Simard, A. Skidmore, K. Stereńczak, M. Tanase, C. Torresan, R. Valbuena, H. Verbeeck, T. Vrska, K. Wessels, J. C. White, L. JT. White, E. Zahabu, C. Zgraggen , "Aboveground Biomass Density Models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) Lidar Mission," Remote Sensing of Environment, Vol. 270,  No. 1, 2022. PDF

21. Y. Zheng, S. Liu, Q. Du, H. Zhao, X. Tong, M. Dalponte, "A Novel Multitemporal Deep Fusion Network (MDFN) for Short term Multitemporal HR Images Classification," IEEE Journal of Selected Topicsin Applied Earth Observations and Remote Sensing, Vol. 14, 2021. PDF

22. E. Tusa, J.-M. Monnet, J.-B. Barré, M. Dalla Mura, M. Dalponte, J. Chanussot, "Individual Tree Segmentation Based on Mean Shift and Crown Shape Model for Temperate Forest," IEEE Geoscience and Remote Sensing Letters, Vol. 18, No. 12,  2021 , PDF

23. H. O. Ørka, E. H. Hansen, M. Dalponte, T. Gobakken, E. Næsset, "Large-area inventory of species composition using airborne laser scanning and hyperspectral data," Silva Fennica, Vol. 55, No. 4, 2021. PDF

24. H. A. Imran, D. Gianelle, M. Scotton, D. Rocchini, M. Dalponte, S. Macolino, K. Sakowska, C. Pornaro, L. Vescovo, "Potential and Limitations of Grasslands α-diversity Prediction Using Fine-Scale Hyperspectral Imagery," Remote Sensing, Vol. 13, No. 14, 2021. PDF

25. P. Naik, M. Dalponte, L. Bruzzone, "Prediction of forest aboveground biomass using multitemporal multispectral remote sensing data," Remote Sensing, Vol. 13, No. 7, 2021. PDF

26. S. Liu, Y. Zheng, Q. Du, A. Samat, X. Tong, M. Dalponte, "A Novel Feature Fusion Approach for VHR Remote Sensing Image Classification," IEEE Journal of Selected Topicsin Applied Earth Observations and Remote Sensing, Vol. 14, pp. 464-473, 2021. PDF

27. S. Versace, V. Garfì, M. Dalponte, M. Di Febbraro, L. Frizzera, D. Gianelle, R. Tognetti, "Species interactions in pure and mixed-species stands of silver fir and European beech in Mediterranean mountains," iForest, Vol. 14, January 2021. PDF

28. M. Dalponte, S. Marzini, Y. T. Solano-Correa, L. Vescovo, G. Tonon, D. Gianelle, "Mapping forest windthrows using high spatial resolution multispectral satellite images," International Journal of Applied Earth Observations and Geoinformation, Vol. 93, December 2020. PDF

29. H. A. Imran, D. Gianelle, D. Rocchini, M. Dalponte, M. P. Martín, K. Sakowska, G. Wohlfahrt, L. Vescovo, "VIS-NIR, Red Edge and NIR-Shoulder based Normalized Vegetation Indices response to co-varying grassland leaf and canopy structural traits," Remote Sensing, Vol. 12, No. 14., July 2020. PDF

30. B. Wedeux, M. Dalponte, M. Schlund, S. Hagen, M. Cochrane, L. Graham, U. Usup, A. Thomas, D.A. Coomes, "Dynamics of a human-modified tropical peat swamp forest revealed by repeat lidar surveys," Global Change Biology, Vol. 26, No. 7, pp. 3947-3964, July 2020, PDF.

31. K. Stereńczak, G. Vaglio Laurin, G. Chirici, D. A. Coomes, M. Dalponte, H. Latifi, N. Puletti, "Global Airborne Laser Scanning Data Providers Database (GlobALS) – a new tool for monitoring ecosystems and biodiversity," Remote Sensing, Vol. 12, No. 11, June 2020. PDF

32. S. Liu, Y. Zheng, M. Dalponte, and X. Tong, "A Novel Fire Index based Burned Area Change Detection Approach Using Landsat-8 OLI Data," European Journal of Remote Sensing, Vol. 53, No. 1, pp. 104-112, March 2020. PDF

33. C. Sothe, C. M. de Almeida,M. B. Schimalski, L. E. C. la Rosa, J. D. B. Castro,R. Q. Feitosa, M. Dalponte, C. L. Lima, V. Liesenberg, G. T. Miyoshi, A. M. G. Tommaselli, "Comparative performance of convolutional neural network, weighted and conventional support vector machine and random forest for classifying tree species using hyperspectral and photogrammetric data," GIScience & Remote Sensing, Vol. 57, No. 3, pp. 369-394, January 2020. PDF

34. H. M. Nguyen, B. Demir, M. Dalponte, "A weighted SVM-based approach to tree species classification at individual tree crown level using lidar data," Remote Sensing, Vol. 11, No. 24, December 2019. PDF

35. S. Versace, D. Gianelle, L. Frizzera, R. Tognetti, V. Garfì, M. Dalponte, "Prediction of Competition Indices in a Norway Spruce and Silver Fir-dominated Forest Using Lidar Data," Remote Sensing, Vol. 11, No. 23, November 2019. PDF

36. S. Malek, F. Miglietta, T. Gobakken, E. Naesset, D. Gianelle, M. Dalponte, "Prediction of stem diameter and biomass at individual tree crown level with advanced machine learning techniques," iForest - Biogeosciences and Forestry, Vol. 12, No. 3, pp. 323-329, June 2019. PDF

37. C. Sothe, M. Dalponte, C. M. de Almeida, M. B. Schimalski, C. L. Lima, V. Liesenberg, G. Takahashi Miyoshi, A. M. Garcia Tommaselli, "Tree species classification in a highly diverse subtropical forest integrating UAV-based photogrammetric point cloud and hyperspectral data," Remote Sensing, Vol. 11, No. 11, June 2019. PDF

38. O. M. Bollandsås, H. O. Ørka, M. Dalponte, T. Gobakken, and E. Næsset, "Modelling Site Index in Forest Stands Using Airborne Hyperspectral Imagery and Bi-Temporal Laser Scanner Data," Remote Sensing, Vol. 11, No. 9, April 2019. PDF

39. S. Malek, F. Miglietta, T. Gobakken, E. Naesset, D. Gianelle, M. Dalponte, "Optimizing field data collection for individual tree attribute predictions using active learning methods," Remote Sensing, Vol. 11, No. 8, April 2019. PDF

40. M. Dalponte, T. Jucker, S. Liu, L. Frizzera, and D. Gianelle, "Characterizing forest carbon dynamics using multi-temporal lidar data," Remote Sensing of Environment, Vol. 224, pp. 412-420, April 2019. PDF

41. K. Sakowska, A. MacArthur, D. Gianelle, M. Dalponte, G. Alberti, B. Gioli, F. Miglietta, A. Pitacco, F. Meggio, F. Fava, T. Julitta, M. Rossini, D. Rocchini, L. Vescovo, "Assessing across-scale optical diversity and productivity relationships in grasslands of the Italian Alps," Remote Sensing, Vol. 11, No. 6, March 2019. PDF

42. M. Dalponte, L. Frizzera, and D. Gianelle, " Individual tree crown delineation and tree species classification with hyperspectral and LiDAR data," PeerJ, Vol 6. pp. e6227, January 2019. PDF

43. T. Jucker, G. P. Asner, M. Dalponte, P. Brodrick, C. D. Philipson, N. Vaughn, Y. A. Teh, C. Brelsford, D. F. R. P. Burslem, Deere, R. M. Ewers, J. Kvasnica, S. L. Lewis, Y. Malhi, S. Milne, R. Nilus, M. Pfeifer, O. L. Phillips, L. Qie, N. Renneboog, G. Reynolds, T. Riutta, M. J. Struebig, M. Svátek, E. C. Turner, and D. A. Coomes, "Estimating aboveground carbon density and its uncertainty in Borneo’s structurally complex tropical forests using airborne laser scanning," Biogeosciences, Vol. 15, pp. 3811-3830, June 2018. PDF

44. M. Dalponte, L. Frizzera, D. Gianelle, "How to map forest structure from aircraft, one tree at a time," Ecology and Evolution, 2018. PDF

45. T. Jucker, B. Bongalov, D. Burslem, R. Nilus, M. Dalponte, S. Lewis, O. Phillips, L. Qie, and D. Coomes, "Topography shapes the structure, composition and function of tropical forest landscapes," Ecology Letters, 2018. PDF

46. M. Dalponte, L. T. Ene, T. Gobakken, E. Næsset, D. Gianelle, "Predicting Selected Forest Stand Characteristics with Multispectral ALS Data," Remote Sensing, Vol. 10, No. 4, 2018. PDF

47. M. Dalponte, L. Frizzera, H. O. Ørka, T. Gobakken, E. Næsset, D. Gianelle, "Predicting stem diameters and aboveground biomass of individual trees using remote sensing data," Ecological Indicators, Vol. 85, pp. 367–376, February 2018. PDF

48. D. A. Coomes, D. Safka, J. D. Shepherd, M. Dalponte, R. Holdaway, "Airborne laser scanning of New Zealand reveals the influences of wind on forest carbon," Forest Ecosystems, Vol. 5, No. 10, January 2018. PDF

49. K. Kandare, H. O. Ørka, M. Dalponte, E. Næsset, T. Gobakken, "Individual tree crown approach for predicting site index in boreal forests using airborne laser scanning and hyperspectral data," International Journal of Applied Earth Observation and Geoinformation, Vol. 60, pp. 72-82, August 2017. PDF

50. D. A. Coomes, M. Dalponte, T. Jucker, G. P. Asner, L. F. Banin, D. F.R.P. Burslem, S. L. Lewis, R. Nilus, O. L. Phillips, M.-H. Phua, L. Qie, "Area-based vs tree-centric approaches to mapping forest carbon in Southeast Asian forests from airborne laser scanning data," Remote Sensing of Environment, Vol. 194, Issue 1, pp. 77-88, June 2017. PDF

51. K. Kandare, M. Dalponte, H. O. Ørka, L. Frizzera, E. Næsset, "Prediction of species-specific volume using different inventory approaches by fusing airborne laser scanning and hyperspectral data," Remote Sensing, Vol. 9, Issue 5, April 2017. PDF

52. T. Jucker, J. Caspersen, J. Chave, C. Antin, N. Barbier, F. Bongers, M. Dalponte, K. Y. van Ewijk, D. I. Forrester, M. Haeni, S. I. Higgins, R. J. Holdaway, Y. Iida, C. Lorimer, P. L. Marshall, S. Momo, G. R. Moncrieff, P. Ploton, L. Poorter, K. A. Rahman, M. Schlund, B. Sonké, F. J. Sterck, A. T. Trugman, V. A. Usoltsev, M. C. Vanderwel, P. Waldner, B. M. M. Wedeux, C. Wirth, H. Wöll, M. Woods, W. Xiang, N. E. Zimmermann, and D. A. Coomes, "Allometric equations for integrating remote sensing imagery into forest monitoring programs," Global Change Biology, Vol. 23, Issue 1, pp. 177–190, January 2017. PDF

53. L. Vescovo, D. Gianelle, M. Dalponte, F. Miglietta, F. Carotenuto, C. Torresan, "Hail defoliation Assessment in corn (Zea mays L.) using Airbone LiDAR," Field Crops Research, Vol. 196, pp. 426–437, September 2016. PDF

54. K. Kandare, H. O. Ørka, J. C.-W. Chan, and M. Dalponte, "Effects of forest structure and airborne laser scanning point cloud density on 3D delineation of individual tree crowns," European Journal of Remote Sensing, Vol. 49, pp. 337-359, 2016. PDF

55. M. Dalponte, and D. A. Coomes, "Tree-centric mapping of forest carbon density from airborne laser scanning and hyperspectral data," Methods in Ecology and Evolution, Vol. 7, No. 10, pp. 1236–1245, October 2016. PDF

56. J. Lee, X. Cai, J. Lellmann, M. Dalponte, Y. Malhi, N. Butt, M. Morecroft, C.-B. Schoenlieb, and D. A. Coomes, "Individual Tree Species Classification From Airborne Multisensor Imagery Using Robust PCA," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 9, No. 6, pp. 2554 - 2567, June 2016. PDF

57. F. Nex, L. Delucchi, D. Gianelle, M. Neteler, F. Remondino, and M. Dalponte, "Land Cover Classification and Monitoring: the STEM Open Source Solution," European Journal of Remote Sensing, Vol. 48, pp. 811-831, 2015. PDF

58. M. Dalponte, L. T. Ene, M. Marconcini , T. Gobakken, and E. Næsset, "Semi-supervised SVM for individual tree crown species classification," ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 110, pp. 77-87, December 2015. PDF

59. M. Dalponte, F. Reyes, K. Kandare, and D. Gianelle, "Delineation of Individual Tree Crowns from ALS and Hyperspectral data: a comparison among four methods," European Journal of Remote Sensing, Vol. 48, pp. 365-382, 2015 PDF.

60. L. Eysn, M. Hollaus, E. Lindberg, F. Berger, J.-M. Monnet, M. Dalponte, M. Kobal, M. Pellegrini, E. Lingua, D. Mongus, and N. Pfeifer, "A Benchmark of Lidar-Based Single Tree Detection Methods Using Heterogeneous Forest Data from the Alpine Space," Forests, Vol. 6, No. 5, pp. 1721-1747, May 2015 PDF

61. C. Persello, A. Boularias, M. Dalponte, T. Gobakken, E. Næsset, and B. Schölkopf, "Cost-Sensitive Active Learning with Lookahead: Optimizing Field Surveys for Remote Sensing Data Classification," IEEE Transactions on Geoscience and Remote Sensing, Vol. 52, No. 10,  pp. 6652 - 6664, October 2014. PDF

62. M. Dalponte, L. T. Ene, H. O. Ørka , T. Gobakken, and E. Næsset, “Unsupervised selection of training samples for tree species classification using hyperspectral data,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 7, No. 8, pp. 3560-3569, August 2014. PDF

63. M. Dalponte, H. O. Ørka, L. T. Ene, T. Gobakken, and E. Næsset, "Tree crown delineation and tree species classification in boreal forests using hyperspectral and ALS data," Remote Sensing of Environment, Vol. 140, pp. 306-317, January 2014. PDF

64. H. O. Ørka, M. Dalponte, T. Gobakken, E. Næsset, L. T. Ene, "Characterizing forest species composition using multiple remote sensing data sources and inventory approaches," Scandinavian Journal of Forest Research, Vol. 28, No. 7, pp. 677-688, October 2013. PDF

65. M. Dalponte, H. O. Ørka, T. Gobakken, D. Gianelle, and E. Næsset, "Tree species classification in boreal forests with hyperspectral data," IEEE Transactions on Geoscience and Remote Sensing, Vol. 51, No. 5, pp. 2632-2645, May 2013. PDF

66. A. Montaghi, P. Corona, M. Dalponte, D. Gianelle, G. Chirici, H. Olsson, "Airborne Laser Scanning of Forest Resources: an overview of research in Italy as a commentary case study," International Journal of Applied Earth Observation and Geoinformation, Vol. 23, pp. 288-300, August 2013. PDF

67. M. Dalponte, L. Bruzzone, and D. Gianelle, "Tree species classification in the Southern Alps based on the fusion of very high geometrical resolution multispectral/hyperspectral images and LiDAR data," Remote Sensing of Environment, Vol. 123, pp. 258-270, August 2012. PDF

68. M. Dalponte, C. Martinez, M. Rodeghiero, and D. Gianelle, "The role of ground reference data collection in the prediction of stem volume with LiDAR data in mountain areas," ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 66, pp. 787-797, 2011. PDF

69. S. Tonolli, M. Dalponte, M. Neteler, M. Rodeghiero, L. Vescovo, and D. Gianelle, "Fusion of airborne LiDAR and satellite multispectral data for the estimation of timber volume in the Southern Alps," Remote Sensing of Environment, Vol. 115, No. 10, pp. 2486–2498, October 2011. PDF

70. M. Dalponte, L. Bruzzone, and D. Gianelle, “A system for the estimation of single tree stem diameters and volume using multireturn LIDAR data”, IEEE Transactions on Geoscience and Remote Sensing, Vol. 49, No. 7, pp. 2479 - 2490, July 2011. PDF

71. S. Tonolli, M. Dalponte, L. Vescovo, M. Rodeghiero, L. Bruzzone, and D. Gianelle, “Mapping and modeling forest tree volume using forest inventory and airborne laser scanning,” European Journal of Forest Research, Vol. 130, No. 4, pp. 569-577,  2011. PDF

72. B. Murphy, M. Poesio, F. Bovolo, M. Dalponte, L. Bruzzone, H. Lakany, “EEG decoding of semantic category reveals distributed representations for single concepts”, Brain and Language, Vol. 117, No. 1, pp. 12-22, April 2011. PDF

73. M. Dalponte, N. C. Coops, L. Bruzzone, and D. Gianelle, “Analysis on the use of multiple return LiDAR data for the estimation of tree stems volume,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 2, No. 4, pp. 310-318, December 2009. PDF

74. M. Dalponte, L. Bruzzone, L. Vescovo and D. Gianelle, “The role of spectral resolution and classifier complexity in the analysis of hyperspectral images of forest areas,” Remote Sensing of Environment, Vol. 113, pp. 2345 – 2355, November 2009. PDF

75. M. Dalponte, L. Bruzzone, and D. Gianelle, “Fusion of hyperspectral and LIDAR remote sensing data for the classification of complex forest areas”, IEEE Transactions on Geoscience and Remote Sensing, Vol. 46, No. 5, pp. 1416-1427, May 2008. PDF

76. M. Dalponte, F. Bovolo, and L. Bruzzone, “Automatic selection of frequency and time intervals for classification of EEG signals”, Electronics Letters, Vol. 43, No. 25, pp. 1406 – 1408, Dec. 6 2007. PDF