Citations (59)
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Haifa Tamiminia, Bahram Salehi, Masoud Mahdianpari, Colin M. Beier, Lucas Johnson, Daniel B. Phoenix & Michael Mahoney. (2022) Decision tree-based machine learning models for above-ground biomass estimation using multi-source remote sensing data and object-based image analysis. Geocarto International 37:26, pages 12763-12791.
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Pema Wangda, Yousif A. Hussin, M.C. Bronsveld & Yogendra K. Karna. (2019) Species stratification and upscaling of forest carbon estimates to landscape scale using GeoEye-1 image and lidar data in sub-tropical forests of Nepal. International Journal of Remote Sensing 40:20, pages 7941-7965.
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Chung-Cheng Lee & Chi-Kuei Wang. (2018) Effect of flying altitude and pulse repetition frequency on laser scanner penetration rate for digital elevation model generation in a tropical forest. GIScience & Remote Sensing 55:6, pages 817-838.
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Ole Martin Bollandsås, Liviu Theodor Ene, Terje Gobakken & Erik Næsset. (2018) Estimation of biomass change in montane forests in Norway along a 1200 km latitudinal gradient using airborne laser scanning: a comparison of direct and indirect prediction of change under a model-based inferential approach. Scandinavian Journal of Forest Research 33:2, pages 155-165.
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Antonio Luis Montealegre-Gracia, María Teresa Lamelas-Gracia, Alberto García-Martín, Juan de la Riva-Fernández & Francisco Escribano-Bernal. (2017) Using low-density discrete Airborne Laser Scanning data to assess the potential carbon dioxide emission in case of a fire event in a Mediterranean pine forest. GIScience & Remote Sensing 54:5, pages 721-740.
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Hans Ole Ørka, Terje Gobakken & Erik Næsset. (2016) Predicting Attributes of Regeneration Forests Using Airborne Laser Scanning. Canadian Journal of Remote Sensing 42:5, pages 541-553.
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Roar Økseter, Ole Martin Bollandsås, Terje Gobakken & Erik Næsset. (2015) Modeling and predicting aboveground biomass change in young forest using multi-temporal airborne laser scanner data. Scandinavian Journal of Forest Research 30:5, pages 458-469.
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Michele Dalponte, Francesco Reyes, Kaja Kandare & Damiano Gianelle. (2015) Delineation of Individual Tree Crowns from ALS and Hyperspectral data: a comparison among four methods. European Journal of Remote Sensing 48:1, pages 365-382.
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Henning Buddenbaum, Stephan Seeling & Joachim Hill. (2013) Fusion of full-waveform lidar and imaging spectroscopy remote sensing data for the characterization of forest stands. International Journal of Remote Sensing 34:13, pages 4511-4524.
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Alessandro Montaghi. (2013) Effect of scanning angle on vegetation metrics derived from a nationwide Airborne Laser Scanning acquisition. Canadian Journal of Remote Sensing 39:sup1, pages S152-S173.
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A. Shamsoddini, R. Turner & J.
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Articles from other publishers (48)
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Ethan Emick, Chad Babcock, Grayson W. White, Andrew T. Hudak, Grant M. Domke & Andrew O. Finley. (2023) An approach to estimating forest biomass while quantifying estimate uncertainty and correcting bias in machine learning maps. Remote Sensing of Environment 295, pages 113678.
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Ritwika Mukhopadhyay, Erik Næsset, Terje Gobakken, Ida Marielle Mienna, Jaime Candelas Bielza, Gunnar Austrheim, Henrik Jan Persson, Hans Ole Ørka, Bjørn-Eirik Roald & Ole Martin Bollandsås. (2023) Mapping and Estimating Aboveground Biomass in an Alpine Treeline Ecotone under Model-Based Inference. Remote Sensing 15:14, pages 3508.
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Andrea Hevia, Anabel Calzado, Reyes Alejano & Javier Vázquez-Piqué. (2022) Identification of Old-Growth Mediterranean Forests Using Airborne Laser Scanning and Geostatistical Analysis. Remote Sensing 14:16, pages 4040.
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Leyre Torre-Tojal, Aitor Bastarrika, Ana Boyano, Jose Manuel Lopez-Guede & Manuel Graña. (2022) Above-ground biomass estimation from LiDAR data using random forest algorithms. Journal of Computational Science 58, pages 101517.
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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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Mohammad Imangholiloo, Ninni Saarinen, Markus Holopainen, Xiaowei Yu, Juha Hyyppä & Mikko Vastaranta. (2020) Using Leaf-Off and Leaf-On Multispectral Airborne Laser Scanning Data to Characterize Seedling Stands. Remote Sensing 12:20, pages 3328.
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Chao LiMingyang LiYingchang Li. (2020) Improving estimation of forest aboveground biomass using Landsat 8 imagery by incorporating forest crown density as a dummy variable. Canadian Journal of Forest Research 50:4, pages 390-398.
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Xiandie Jiang, Guiying Li, Dengsheng Lu, Erxue Chen & Xinliang Wei. (2020) Stratification-Based Forest Aboveground Biomass Estimation in a Subtropical Region Using Airborne Lidar Data. Remote Sensing 12:7, pages 1101.
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Zhengyang Hou, Lauri Mehtätalo, Ronald E. McRoberts, Göran Ståhl, Timo Tokola, Parvez Rana, Jouni Siipilehto & Qing Xu. (2019) Remote sensing-assisted data assimilation and simultaneous inference for forest inventory. Remote Sensing of Environment 234, pages 111431.
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Tojal, Bastarrika, Barret, Espeso, Lopez-Guede & Graña. (2019) Prediction of Aboveground Biomass from Low-Density LiDAR Data: Validation over P. radiata Data from a Region North of Spain. Forests 10:9, pages 819.
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Yuanshuo Hao, Zhen Zhen, Fengri Li & Yinghui Zhao. (2019) A graph-based progressive morphological filtering (GPMF) method for generating canopy height models using ALS data. International Journal of Applied Earth Observation and Geoinformation 79, pages 84-96.
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Adrián Pascual, Felipe Bravo & Cristóbal Ordoñez. (2019) Assessing the robustness of variable selection methods when accounting for co-registration errors in the estimation of forest biophysical and ecological attributes. Ecological Modelling 403, pages 11-19.
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Chad Babcock, Andrew O. Finley, Hans-Erik Andersen, Robert Pattison, Bruce D. Cook, Douglas C. Morton, Michael Alonzo, Ross Nelson, Timothy Gregoire, Liviu Ene, Terje Gobakken & Erik Næsset. (2018) Geostatistical estimation of forest biomass in interior Alaska combining Landsat-derived tree cover, sampled airborne lidar and field observations. Remote Sensing of Environment 212, pages 212-230.
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Francisca Rocha de Souza Pereira, Milton Kampel, Mário Gomes Soares, Gustavo Estrada, Cristina Bentz & Gregoire Vincent. (2018) Reducing Uncertainty in Mapping of Mangrove Aboveground Biomass Using Airborne Discrete Return Lidar Data. Remote Sensing 10:4, pages 637.
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Manuel A. Valbuena, Esperanza Mateos & Francisco Rodríguez. (2018) Use of LiDAR data during multi-annual periods for estimating forestry variables. Forest Systems 26:3, pages e019.
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María Castaño-Díaz, Pedro Álvarez-Álvarez, Brian Tobin, Maarten Nieuwenhuis, Elías Afif-Khouri & Asunción Cámara-Obregón. (2017) Evaluation of the use of low-density LiDAR data to estimate structural attributes and biomass yield in a short-rotation willow coppice: an example in a field trial. Annals of Forest Science 74:4.
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zahra Seyed Mousavi, jahangir mohammadi & shaban shataee. (2017) The Evaluation of Potential Airborne Laser Scanner Data in Estimating of Individual Canopy Area and Tree Heights in Part of Educational and Research Shast-Kalate Forests - Gorgan. Ecology of Iranian Forests 5:9, pages 47-55.
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Endre Hansen, Liviu Ene, Ernest Mauya, Zdeněk Patočka, Tomáš Mikita, Terje Gobakken & Erik Næsset. (2017) Comparing Empirical and Semi-Empirical Approaches to Forest Biomass Modelling in Different Biomes Using Airborne Laser Scanner Data. Forests 8:5, pages 170.
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Andrew O. Finley, Sudipto Banerjee, Yuzhen Zhou, Bruce D. Cook & Chad Babcock. (2017) Joint hierarchical models for sparsely sampled high-dimensional LiDAR and forest variables. Remote Sensing of Environment 190, pages 149-161.
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Paolo Moser, Alexander C. Vibrans, Ronald E. McRoberts, Erik Næsset, Terje Gobakken, Gherardo Chirici, Matteo Mura & Marco Marchetti. (2017) Methods for variable selection in LiDAR-assisted forest inventories. Forestry 90:1, pages 112-124.
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De-liang Chen & Yan-yan Lu. (2017) 3D road surface reconstruction based on point clouds data assimilation algorithm. MATEC Web of Conferences 139, pages 00005.
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Chad Babcock, Andrew O. Finley, Bruce D. Cook, Aaron Weiskittel & Christopher W. Woodall. (2016) Modeling forest biomass and growth: Coupling long-term inventory and LiDAR data. Remote Sensing of Environment 182, pages 1-12.
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J. Guerra-Hernández, M. Tomé & E. González-Ferreiro. (2016) Using low density LiDAR data to map Mediterranean forest characteristics by means of an area-based approach and height threshold analysis. Revista de Teledetección:46, pages 103.
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Sanna Kaasalainen, Markus Holopainen, Mika Karjalainen, Mikko Vastaranta, Ville Kankare, Kirsi Karila & Batuhan Osmanoglu. (2015) Combining Lidar and Synthetic Aperture Radar Data to Estimate Forest Biomass: Status and Prospects. Forests 6:12, pages 252-270.
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Hans-Erik Andersen, Stephen E. Reutebuch, Robert J. McGaughey, Marcus V.N. d'Oliveira & Michael Keller. (2014) Monitoring selective logging in western Amazonia with repeat lidar flights. Remote Sensing of Environment 151, pages 157-165.
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Alessandro Montaghi, Piermaria Corona, Michele Dalponte, Damiano Gianelle, Gherardo Chirici & Håkan Olsson. (2013) 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 23, pages 288-300.
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Liviu Theodor Ene, Erik Næsset, Terje Gobakken, Timothy G. Gregoire, Göran Ståhl & Sören Holm. (2013) A simulation approach for accuracy assessment of two-phase post-stratified estimation in large-area LiDAR biomass surveys. Remote Sensing of Environment 133, pages 210-224.
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Mustafa Mirik, Sriroop Chaudhuri, Brady Surber, Srinivasulu Ale & Robert James Ansley. (2013) Evaluating Biomass of Juniper Trees (Juniperus pinchotii) from Imagery-Derived Canopy Area Using the Support Vector Machine Classifier. Advances in Remote Sensing 02:02, pages 181-192.
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