Citations (65)
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Panfei Fang, Guanglong Ou, Ruonan Li, Leiguang Wang, Weiheng Xu, Qinling Dai & Xin Huang. (2023) Regionalized classification of stand tree species in mountainous forests by fusing advanced classifiers and ecological niche model. GIScience & Remote Sensing 60:1.
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Ying Quan, Mingze Li, Yuanshuo Hao, Jianyang Liu & Bin Wang. (2023) Tree species classification in a typical natural secondary forest using UAV-borne LiDAR and hyperspectral data. GIScience & Remote Sensing 60:1.
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Jurjen Van der Sluijs, Derek R. Peddle & Ronald J. Hall. (2023) Characterizing Tree Species in Northern Boreal Forests Using Multiple-Endmember Spectral Mixture Analysis and Multi-Temporal Satellite Imagery. Canadian Journal of Remote Sensing 49:1.
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Martin Queinnec, Nicholas C. Coops, Joanne C. White, Verena C. Griess, Naomi B. Schwartz & Grant McCartney. (2023) Mapping Dominant Boreal Tree Species Groups by Combining Area-Based and Individual Tree Crown LiDAR Metrics with Sentinel-2 Data . Canadian Journal of Remote Sensing 49:1.
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Marie-Claude Jutras-Perreault, Erik Næsset, Terje Gobakken & Hans Ole Ørka. (2023) Detecting the presence of standing dead trees using airborne laser scanning and optical data. Scandinavian Journal of Forest Research 38:4, pages 208-220.
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Sean M. Lamb, David A. MacLean, Chris R. Hennigar & Douglas G. Pitt. (2017) Imputing Tree Lists for New Brunswick Spruce Plantations Through Nearest-Neighbor Matching of Airborne Laser Scan and Inventory Plot Data. Canadian Journal of Remote Sensing 43:3, pages 269-285.
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Stefano Puliti, Terje Gobakken, Hans Ole Ørka & Erik Næsset. (2017) Assessing 3D point clouds from aerial photographs for species-specific forest inventories. Scandinavian Journal of Forest Research 32:1, pages 68-79.
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Linda Aune-Lundberg & Geir-Harald Strand. (2017) Composition and spatial structure of dwarf shrub heath in Norway. Norsk Geografisk Tidsskrift - Norwegian Journal of Geography 71:1, pages 1-11.
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Joanne C. White, Nicholas C. Coops, Michael A. Wulder, Mikko Vastaranta, Thomas Hilker & Piotr Tompalski. (2016) Remote Sensing Technologies for Enhancing Forest Inventories: A Review. Canadian Journal of Remote Sensing 42:5, pages 619-641.
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Kaja Kandare, Hans Ole Ørka, Jonathan Cheung-Wai Chan & Michele Dalponte. (2016) Effects of forest structure and airborne laser scanning point cloud density on 3D delineation of individual tree crowns. European Journal of Remote Sensing 49:1, pages 337-359.
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Terje Gobakken, Ole Martin Bollandsås & Erik Næsset. (2015) Comparing biophysical forest characteristics estimated from photogrammetric matching of aerial images and airborne laser scanning data. Scandinavian Journal of Forest Research 30:1, pages 73-86.
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Jari Vauhkonen, Petteri Packalen, Jukka Malinen, Juho Pitkänen & Matti Maltamo. (2014) Airborne laser scanning-based decision support for wood procurement planning. Scandinavian Journal of Forest Research 29:sup1, pages 132-143.
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Articles from other publishers (53)
Manisha Das Chaity & Jan van Aardt. (2024) Exploring the Limits of Species Identification via a Convolutional Neural Network in a Complex Forest Scene through Simulated Imaging Spectroscopy. Remote Sensing 16:3, pages 498.
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Fei Tong & Yun Zhang. (2024) Active Learning-Based Spectral–Spatial Classification for Discriminating Tree Species in Hyperspectral Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 17, pages 9403-9414.
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Brent A. Murray, Nicholas C. Coops, Lukas Winiwarter, Joanne C. White, Adam Dick, Ignacio Barbeito & Ahmed Ragab. (2024) Estimating tree species composition from airborne laser scanning data using point-based deep learning models. ISPRS Journal of Photogrammetry and Remote Sensing 207, pages 282-297.
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Yi Xu, Tiejun Wang, Andrew K. Skidmore & Tawanda W. Gara. (2023) A Novel Approach to Match Individual Trees between Aerial Photographs and Airborne LiDAR Data. Remote Sensing 15:17, pages 4128.
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Yicen Zhang, Junjie Wang, Zhifeng Wu, Juyu Lian, Wanhui Ye & Fangyuan Yu. (2022) Tree Species Classification Using Plant Functional Traits and Leaf Spectral Properties along the Vertical Canopy Position. Remote Sensing 14:24, pages 6227.
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Brindusa Cristina Budei, Benoît St-Onge, Richard A. Fournier & Daniel Kneeshaw. (2022) Effects of Viewing Geometry on Multispectral Lidar-Based Needle-Leaved Tree Species Identification. Remote Sensing 14:24, pages 6217.
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Babak Ghassemi, Aleksandar Dujakovic, Mateusz Żółtak, Markus Immitzer, Clement Atzberger & Francesco Vuolo. (2022) Designing a European-Wide Crop Type Mapping Approach Based on Machine Learning Algorithms Using LUCAS Field Survey and Sentinel-2 Data. Remote Sensing 14:3, pages 541.
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Jean-François Prieur, Benoît St-Onge, Richard A. Fournier, Murray E. Woods, Parvez Rana & Daniel Kneeshaw. (2021) A Comparison of Three Airborne Laser Scanner Types for Species Identification of Individual Trees. Sensors 22:1, pages 35.
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Yingying Yang, Taixia Wu, Yuhui Zeng & Shudong Wang. (2021) An Adaptive-Parameter Pixel Unmixing Method for Mapping Evergreen Forest Fractions Based on Time-Series NDVI: A Case Study of Southern China. Remote Sensing 13:22, pages 4678.
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Alexandru Claudiu Dobre, Ionuț-Silviu Pascu, Ștefan Leca, Juan Garcia-Duro, Carmen-Elena Dobrota, Gheorghe Marian Tudoran & Ovidiu Badea. (2021) Applications of TLS and ALS in Evaluating Forest Ecosystem Services: A Southern Carpathians Case Study. Forests 12:9, pages 1269.
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Eva Lindberg, Johan Holmgren & Håkan Olsson. (2021) Classification of tree species classes in a hemi-boreal forest from multispectral airborne laser scanning data using a mini raster cell method. International Journal of Applied Earth Observation and Geoinformation 100, pages 102334.
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Katarzyna Osińska-Skotak, Aleksandra Radecka, Wojciech Ostrowski, Dorota Michalska-Hejduk, Jakub Charyton, Krzysztof Bakuła & Hubert Piórkowski. (2021) The Methodology for Identifying Secondary Succession in Non-Forest Natura 2000 Habitats Using Multi-Source Airborne Remote Sensing Data. Remote Sensing 13:14, pages 2803.
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Julia Tatum & David Wallin. (2021) Using Discrete-Point LiDAR to Classify Tree Species in the Riparian Pacific Northwest, USA. Remote Sensing 13:14, pages 2647.
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Yifang Shi, Tiejun Wang, Andrew K. Skidmore, Stefanie Holzwarth, Uta Heiden & Marco Heurich. (2021) Mapping individual silver fir trees using hyperspectral and LiDAR data in a Central European mixed forest. International Journal of Applied Earth Observation and Geoinformation 98, pages 102311.
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MD Abdul Mueed Choudhury, Ernesto Marcheggiani, Andrea Galli, Giuseppe Modica & Ben Somers. (2021) Mapping the Urban Atmospheric Carbon Stock by LiDAR and WorldView-3 Data. Forests 12:6, pages 692.
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Piotr Tompalski, Nicholas C. Coops, Joanne C. White, Tristan R.H. Goodbody, Chris R. Hennigar, Michael A. Wulder, Jarosław Socha & Murray E. Woods. (2021) Estimating Changes in Forest Attributes and Enhancing Growth Projections: a Review of Existing Approaches and Future Directions Using Airborne 3D Point Cloud Data. Current Forestry Reports 7:1, pages 1-24.
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M. MaltamoP. PackalenA. Kangas. (2021) From comprehensive field inventories to remotely sensed wall-to-wall stand attribute data — a brief history of management inventories in the Nordic countries. Canadian Journal of Forest Research 51:2, pages 257-266.
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Maja Michałowska & Jacek Rapiński. (2021) A Review of Tree Species Classification Based on Airborne LiDAR Data and Applied Classifiers. Remote Sensing 13:3, pages 353.
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Haoming Wan, Yunwei Tang, Linhai Jing, Hui Li, Fang Qiu & Wenjin Wu. (2021) Tree Species Classification of Forest Stands Using Multisource Remote Sensing Data. Remote Sensing 13:1, pages 144.
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Jahangir Mohammadi, Shaban Shataee & Erik Næsset. (2020) Modeling tree species diversity by combining ALS data and digital aerial photogrammetry. Science of Remote Sensing 2, pages 100011.
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Parth Naik, Michele Dalponte & Lorenzo Bruzzone. (2020) A comparison on the use of different satellite multispectral data for the prediction of aboveground biomass. A comparison on the use of different satellite multispectral data for the prediction of aboveground biomass.
Ville Vähä-Konka, Matti Maltamo, Timo Pukkala & Kalle Kärhä. (2020) Evaluating the accuracy of ALS-based removal estimates against actual logging data. Annals of Forest Science 77:3.
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Yingying Yang, Taixia Wu, Shudong Wang & Hao Li. (2020) Fractional evergreen forest cover mapping by MODIS time-series FEVC-CV methods at sub-pixel scales. ISPRS Journal of Photogrammetry and Remote Sensing 163, pages 272-283.
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Aneta Modzelewska, Fabian Ewald Fassnacht & Krzysztof Stereńczak. (2020) Tree species identification within an extensive forest area with diverse management regimes using airborne hyperspectral data. International Journal of Applied Earth Observation and Geoinformation 84, pages 101960.
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Hossein Torabzadeh, Reik Leiterer, Andreas Hueni, Michael E. Schaepman & Felix Morsdorf. (2019) Tree species classification in a temperate mixed forest using a combination of imaging spectroscopy and airborne laser scanning. Agricultural and Forest Meteorology 279, pages 107744.
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Katarzyna Osińska-Skotak, Aleksandra Radecka, Hubert Piórkowski, Dorota Michalska-Hejduk, Dominik Kopeć, Barbara Tokarska-Guzik, Wojciech Ostrowski, Adam Kania & Jan Niedzielko. (2019) Mapping Succession in Non-Forest Habitats by Means of Remote Sensing: Is the Data Acquisition Time Critical for Species Discrimination?. Remote Sensing 11:22, pages 2629.
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Peter Horvath, Rune Halvorsen, Frode Stordal, Lena Merete Tallaksen, Hui Tang & Anders Bryn. (2019) Distribution modelling of vegetation types based on area frame survey data. Applied Vegetation Science 22:4, pages 547-560.
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Martyna Wietecha, Łukasz Jełowicki, Krzysztof Mitelsztedt, Stanisław Miścicki & Krzysztof Stereńczak. (2019) The capability of species-related forest stand characteristics determination with the use of hyperspectral data. Remote Sensing of Environment 231, pages 111232.
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Bollandsås, Ørka, Dalponte, Gobakken & Næsset. (2019) Modelling Site Index in Forest Stands Using Airborne Hyperspectral Imagery and Bi-Temporal Laser Scanner Data. Remote Sensing 11:9, pages 1020.
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Jari Vauhkonen. (2018) Predicting the provisioning potential of forest ecosystem services using airborne laser scanning data and forest resource maps. Forest Ecosystems 5:1.
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Tomasz Hycza, Krzysztof Stereńczak & Radomir Bałazy. (2018) Potential use of hyperspectral data to classify forest tree species. New Zealand Journal of Forestry Science 48:1.
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Ninni Saarinen, Mikko Vastaranta, Roope Näsi, Tomi Rosnell, Teemu Hakala, Eija Honkavaara, Michael Wulder, Ville Luoma, Antonio Tommaselli, Nilton Imai, Eduardo Ribeiro, Raul Guimarães, Markus Holopainen & Juha Hyyppä. (2018) Assessing Biodiversity in Boreal Forests with UAV-Based Photogrammetric Point Clouds and Hyperspectral Imaging. Remote Sensing 10:2, pages 338.
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Michele Dalponte, Lorenzo Frizzera, Hans Ole Ørka, Terje Gobakken, Erik Næsset & Damiano Gianelle. (2018) Predicting stem diameters and aboveground biomass of individual trees using remote sensing data. Ecological Indicators 85, pages 367-376.
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Ivan Sačkov, Maroš Sedliak, Ladislav Kulla & Tomáš Bucha. (2017) Inventory of Close-to-Nature Forests Based on the Combination of Airborne LiDAR Data and Aerial Multispectral Images Using a Single-Tree Approach. Forests 8:12, pages 467.
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Kaja Kandare, Hans Ole Ørka, Michele Dalponte, Erik Næsset & Terje Gobakken. (2017) 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 60, pages 72-82.
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Kaja Kandare, Michele Dalponte, Hans Ørka, Lorenzo Frizzera & Erik Næsset. (2017) Prediction of Species-Specific Volume Using Different Inventory Approaches by Fusing Airborne Laser Scanning and Hyperspectral Data. Remote Sensing 9:5, pages 400.
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Janne Räty, Jari Vauhkonen, Matti Maltamo & Timo Tokola. (2016) On the potential to predetermine dominant tree species based on sparse-density airborne laser scanning data for improving subsequent predictions of species-specific timber volumes. Forest Ecosystems 3:1.
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Fabian Ewald Fassnacht, Hooman Latifi, Krzysztof Stereńczak, Aneta Modzelewska, Michael Lefsky, Lars T. Waser, Christoph Straub & Aniruddha Ghosh. (2016) Review of studies on tree species classification from remotely sensed data. Remote Sensing of Environment 186, pages 64-87.
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N.T. Boelman, J.D. Holbrook, H.E. Greaves, J.S. Krause, H.E. Chmura, T.S. Magney, J.H. Perez, J.U.H. Eitel, L. Gough, K.T. Vierling, J.C. Wingfield & L.A. Vierling. (2016) Airborne laser scanning and spectral remote sensing give a bird's eye perspective on arctic tundra breeding habitat at multiple spatial scales. Remote Sensing of Environment 184, pages 337-349.
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Erik Næsset. (2016) Discrimination between Ground Vegetation and Small Pioneer Trees in the Boreal-Alpine Ecotone Using Intensity Metrics Derived from Airborne Laser Scanner Data. Remote Sensing 8:7, pages 548.
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A. Hovi, L. Korhonen, J. Vauhkonen & I. Korpela. (2016) LiDAR waveform features for tree species classification and their sensitivity to tree- and acquisition related parameters. Remote Sensing of Environment 173, pages 224-237.
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Benoît St-Onge, Félix-Antoine Audet & Jean Bégin. (2015) Characterizing the Height Structure and Composition of a Boreal Forest Using an Individual Tree Crown Approach Applied to Photogrammetric Point Clouds. Forests 6:12, pages 3899-3922.
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Cong Xu, Justin Morgenroth & Bruce Manley. (2015) Integrating Data from Discrete Return Airborne LiDAR and Optical Sensors to Enhance the Accuracy of Forest Description: A Review. Current Forestry Reports 1:3, pages 206-219.
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Karen Lone, Floris M. van Beest, Atle Mysterud, Terje Gobakken, Jos M. Milner, Hans-Petter Ruud & Leif Egil Loe. (2014) Improving broad scale forage mapping and habitat selection analyses with airborne laser scanning: the case of moose. Ecosphere 5:11, pages 1-22.
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Hossein Torabzadeh, Felix Morsdorf & Michael E. Schaepman. (2014) Fusion of imaging spectroscopy and airborne laser scanning data for characterization of forest ecosystems – A review. ISPRS Journal of Photogrammetry and Remote Sensing 97, pages 25-35.
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Karen Lone, Leif Egil Loe, Terje Gobakken, John D. C. Linnell, John Odden, Jørgen Remmen & Atle Mysterud. (2014) Living and dying in a multi‐predator landscape of fear: roe deer are squeezed by contrasting pattern of predation risk imposed by lynx and humans. Oikos 123:6, pages 641-651.
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