Citations (19)
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Shangshu Cai, Wuming Zhang, Shuangna Jin, Jie Shao, Linyuan Li, Sisi Yu & Guangjian Yan. (2021) Improving the estimation of canopy cover from UAV-LiDAR data using a pit-free CHM-based method. International Journal of Digital Earth 14:10, pages 1477-1492.
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Stéphanie Landry, Martin-Hugues St-Laurent, Peter R. Nelson, Gaetan Pelletier & Marc-André Villard. (2018) Canopy Cover Estimation from Landsat Images: Understory Impact onTop-of-canopy Reflectance in a Northern Hardwood Forest. Canadian Journal of Remote Sensing 44:5, pages 435-446.
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Ann-Helen Granholm, Nils Lindgren, Kenneth Olofsson, Mattias Nyström, Anna Allard & Håkan Olsson. (2017) Estimating vertical canopy cover using dense image-based point cloud data in four vegetation types in southern Sweden. International Journal of Remote Sensing 38:7, pages 1820-1838.
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Ibrahim Ozdemir. (2014) Linear transformation to minimize the effects of variability in understory to estimate percent tree canopy cover using RapidEye data. GIScience & Remote Sensing 51:3, pages 288-300.
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Articles from other publishers (15)
Ritu Taneja, Luke Wallace, Karin Reinke, James Hilton & Simon Jones. (2023) Differences in Canopy Cover Estimations from ALS Data and Their Effect on Fire Prediction. Environmental Modeling & Assessment 28:4, pages 565-583.
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Gengsheng Fang, Hao Xu, Sheng-I Yang, Xiongwei Lou & Luming Fang. (2023) Synergistic use of Sentinel-1, Sentinel-2, and Landsat 8 in predicting forest variables. Ecological Indicators 151, pages 110296.
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Decai Jin, Jianbo Qi, Huaguo Huang & Linyuan Li. (2021) Combining 3D Radiative Transfer Model and Convolutional Neural Network to Accurately Estimate Forest Canopy Cover From Very High-Resolution Satellite Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 14, pages 10953-10963.
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Linze Bai, Yuxuan Shu & Yongxuan Guo. (2020) Estimating aboveground biomass of urban trees by high resolution remote sensing image: a case study in Hengqin, Zhuhai, China. IOP Conference Series: Earth and Environmental Science 569:1, pages 012053.
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Adrian Fisher, John Armston, Nicholas Goodwin & Peter Scarth. (2020) Modelling canopy gap probability, foliage projective cover and crown projective cover from airborne lidar metrics in Australian forests and woodlands. Remote Sensing of Environment 237, pages 111520.
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Shezhou Luo, Jing M. Chen, Cheng Wang, Alemu Gonsamo, Xiaohuan Xi, Yi Lin, Mingjie Qian, Dailiang Peng, Sheng Nie & Haiming Qin. (2018) Comparative Performances of Airborne LiDAR Height and Intensity Data for Leaf Area Index Estimation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 11:1, pages 300-310.
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Zhenfeng Shao, Linjing Zhang & Lei Wang. (2017) Stacked Sparse Autoencoder Modeling Using the Synergy of Airborne LiDAR and Satellite Optical and SAR Data to Map Forest Above-Ground Biomass. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 10:12, pages 5569-5582.
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Qin Ma, Yanjun Su & Qinghua Guo. (2017) Comparison of Canopy Cover Estimations From Airborne LiDAR, Aerial Imagery, and Satellite Imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 10:9, pages 4225-4236.
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M. Melin, L. Korhonen, M. Kukkonen & P. Packalen. (2017) Assessing the performance of aerial image point cloud and spectral metrics in predicting boreal forest canopy cover. ISPRS Journal of Photogrammetry and Remote Sensing 129, pages 77-85.
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Lauri Korhonen, Hadi, Petteri Packalen & Miina Rautiainen. (2017) Comparison of Sentinel-2 and Landsat 8 in the estimation of boreal forest canopy cover and leaf area index. Remote Sensing of Environment 195, pages 259-274.
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Hadi, Lauri Korhonen, Aarne Hovi, Petri Rönnholm & Miina Rautiainen. (2016) The accuracy of large-area forest canopy cover estimation using Landsat in boreal region. International Journal of Applied Earth Observation and Geoinformation 53, pages 118-127.
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Wang Li, Zheng Niu, Zengyuan Li, Cheng Wang, Mingquan Wu & Shakir Muhammad. (2016) Upscaling coniferous forest above-ground biomass based on airborne LiDAR and satellite ALOS PALSAR data. Journal of Applied Remote Sensing 10:4, pages 046003.
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Hari Adhikari, Janne Heiskanen, Eduardo Eiji Maeda & Petri K.E. Pellikka. (2016) The effect of topographic normalization on fractional tree cover mapping in tropical mountains: An assessment based on seasonal Landsat time series. International Journal of Applied Earth Observation and Geoinformation 52, pages 20-31.
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Wang Li, Zheng Niu, Xinlian Liang, Zengyuan Li, Ni Huang, Shuai Gao, Cheng Wang & Shakir Muhammad. (2015) Geostatistical modeling using LiDAR-derived prior knowledge with SPOT-6 data to estimate temperate forest canopy cover and above-ground biomass via stratified random sampling. International Journal of Applied Earth Observation and Geoinformation 41, pages 88-98.
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Oumer S. Ahmed, Steven E. Franklin, Michael A. Wulder & Joanne C. White. (2015) Characterizing stand-level forest canopy cover and height using Landsat time series, samples of airborne LiDAR, and the Random Forest algorithm. ISPRS Journal of Photogrammetry and Remote Sensing 101, pages 89-101.
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