References
- Alonzo, M, Bookhagen, B & Roberts, DA 2014, ‘Urban tree species mapping using hyperspectral and LiDAR data fusion’, Remote Sensing of Environment, vol. 148, pp. 70-83.
- Baldeck, CA, Asner, GP, Martin, RE, Anderson, CB, Knapp, DE, Kellner, JR & Wright, SJ 2015, ‘Operational Tree Species Mapping in a Diverse Tropical Forest with Airborne Imaging Spectroscopy’, PLOS ONE, vol. 10, no. 7, pp. 1-21.
- Boschetti, M, Boschetti, L, Oliveri, S, Casati, L & Canova, I 2007, ‘Tree species mapping with airborne hyperspectral MIVIS data: the Ticino Park study case’, International Journal of Remote Sensing, vol. 28, no. 6, pp. 1251-1261.
- Cho, MA, Mathieu, R, Asner, GP, Naidoo, L, van Aardt, J, Ramoelo, A, Debba, P, Wessels, K, Main, R, Smit, IPJ & Erasmus, B 2012, ‘Mapping tree species composition in South African savannas using an integrated airborne spectral and LiDAR system’, Remote Sensing of Environment, vol. 125, pp. 214-226.
- Clark, ML, Roberts, DA & Clark, DB 2005, ‘Hyperspectral discrimination of tropical rain forest tree species at leaf to crown scales’, Remote Sensing of Environment, vol. 96, pp. 375-398.
- Colgan, M, Baldeck, C, Féret, JB & Asner, GP 2012, ‘Mapping Savanna Tree Species at Ecosystem Scales Using Support Vector Machine Classification and BRDF Correction on Airborne Hyperspectral and LiDAR Data’, Remote Sensing, vol. 4, no. 11, pp. 3462-3480.
- Dalponte, M, Bruzzone, L & Gianelle, D 2008, ‘Fusion of Hyperspectral and LiDAR Remote Sensing Data for Classification of Complex Forest Areas’, IEEE Transactions on Geoscience and Remote Sensing, vol. 46, no. 5, pp. 1416-1427.
- Dalponte, M, Bruzzone, L & Gianelle, D 2012, ‘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.
- Dalponte, M, Orka, HO, Gobakken, T, Gianelle, D & Naesset, E 2013, ‘Tree Species Classification in Boreal Forests With Hyperspectral Data’, IEEE Transactions on Geoscience and Remote Sensing, vol. 51, no. 5, pp. 2632-2645.
- Filella, I & Penuelas, J 1994, ‘The red edge position and shape as indicators of plant chlorophyll content, biomass and hydric status’, International Journal of Remote Sensing, vol. 15, no. 7, pp. 1459-1470.
- Franklin, SE 2001, Remote Sensing for Sustainable Forest Management, CRC Press, Boca Raton.
- Gao, BC, Montes, MJ & Davis, CO 2004, ‘Refinement of wavelength calibrations of hyperspectral imaging data using a spectrum-matching technique’, Remote Sensing of Environment, vol. 90, no. 4, pp. 424-433.
- Ghosh, A, Fassnacht, FE, Joshi, PK & Koch, B 2014, ‘A framework for mapping tree species combining hyperspectral and LiDAR data: Role of selected classifiers and sensor across three spatial scales’, International Journal of Applied Earth Observation and Geoinformation, vol. 26, pp. 49-63.
- Horler, DNH, Dockray, M & Barber, J 1983, ‘The red edge of plant leaf reflectance’, International Journal of Remote Sensing, vol. 4, no. 2, pp. 273-288.
- Hu, B, Miller, JR, Zarco-Tejada, PJ, Freemantle, J & Zwick, H 2008, ‘Boreal forest mapping at the BOREAS study area using seasonal optical indices sensitive to plant pigment content’, Canadian Journal of Remote Sensing, vol. 34, pp. 158-171.
- Hughes, G 1968, ‘On the mean accuracy of statistical pattern recognizers’, IEEE Transactions on Information Theory, vol. 14, no. 1, pp. 55-63.
- Jones, TG, Coops, NC, & Sharma, T 2010, ‘Assessing the utility of airborne hyperspectral and LiDAR data for species distribution mapping in the coastal Pacific Northwest, Canada’, Remote Sensing of Environment, vol. 114, no. 12, pp. 2841-2852.
- Kempeneers, P, Van Coillie, F, Liao, W, Devriendt, F & Vandekerkhove, K 2014, ‘Tree species mapping by combining hyperspectral with LiDAR data’, Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, Québec.
- Linke, J, Betts, MG, Lavigne, MB & Franklin, SE 2006, ‘Introduction: structure, function and change of forest landscapes’ in Understanding forest disturbance and spatial pattern: Remote sensing and GIS approaches, eds. M Wulder & SE Franklin, Taylor & Francis Group, Abingdon, pp. 1-29.
- Marcinkowska, A, Zagajewski, B, Ochtyra, A, Jarocińska, A, Raczko, E, Kupková, L, Stych, P & Meuleman, K 2014, ‘Mapping vegetation communities of the Karkonosze National Park using APEX hyperspectral data and Support Vector Machines’, Miscellanea Geographica, vol. 18, no. 2, pp. 23-29.
- Pandey, PC, Tate, NJ & Balzter, H 2014, ‘Mapping Tree Species in Coastal Portugal Using Statistically Segmented Principal Component Analysis and Other Methods’, IEEE Sensors Journal, vol. 14, no. 12, pp. 4434-4441.
- Panigada, C, Rossini, M, Busetto, L, Meroni, M, Fava, F & Colombo, R 2010, ‘Chlorophyll concentration mapping with MIVIS data to assess crown discoloration in the Ticino Park oak forest’, International Journal of Remote Sensing, vol. 31, no. 12, pp. 3307-3332.
- Zarco-Tejada, PJ & Miller, JR 1999, ‘Land cover mapping at BOREAS using red edge spectral parameters from CASI imagery’, Journal of Geophysical Research, vol. 104, no. D22, pp. 27921-27933.