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Mahyat Shafapour Tehrany, Biswajeet Pradhan & Mustafa Neamah Jebuv. (2014) A comparative assessment between object and pixel-based classification approaches for land use/land cover mapping using SPOT 5 imagery. Geocarto International 29:4, pages 351-369.
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Jincy Rachel Mathew, Chandra Prakash Singh, Hitesh Solanki, Dhruvi Sedha, Mehul R. Pandya & Bimal K. Bhattacharya. (2023) Role of LiDAR remote sensing in identifying physiognomic traits of alpine treeline: a global review. Tropical Ecology.
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Yuki YAMAYARei SONOBE, Nobuyuki KOBAYASHI, Kan-ichiro MOCHIZUKI, Xiufeng WANG & Hiroshi TANI. (2020) Crop Classification by Machine Learning Algorithm Combined X-band and C-band SAR DataXバンドおよびCバンドSARデータを併用した機械学習アルゴリズムによる作物分類の高精度化・効率化に関する検討. Journal of the Japan society of photogrammetry and remote sensing 59:6, pages 259-274.
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Kai Ding, Chisheng Wang, Ming Tao, Huijuan Xiao, Chao Yang & Peican Huang. 2020. Machine Learning for Cyber Security. Machine Learning for Cyber Security
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Patrick A. Fekety, Rema B. Sadak, Joel D. Sauder, Andrew T. Hudak & Michael J. Falkowski. (2019) Predicting forest understory habitat for Canada lynx using LIDAR data. Wildlife Society Bulletin 43:4, pages 619-629.
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Cong Xu, Justin Morgenroth & Bruce Manley. (2017) Mapping Net Stocked Plantation Area for Small-Scale Forests in New Zealand Using Integrated RapidEye and LiDAR Sensors. Forests 8:12, pages 487.
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Eva Husson, Heather Reese & Frauke Ecke. (2017) Combining Spectral Data and a DSM from UAS-Images for Improved Classification of Non-Submerged Aquatic Vegetation. Remote Sensing 9:3, pages 247.
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Yuki YAMAYA, Hiroshi TANI, Xiufeng WANG, Rei SONOBE, Nobuyuki KOBAYASHI, Kan-ichiro MOCHIZUKI & Megumi NODA. (2017) Crop Classification by Machine Learning Algorithm Using C-band SAR DataCバンドSARデータを利用した機械学習アルゴリズムによる圃場の作物分類. Journal of the Japan society of photogrammetry and remote sensing 56:4, pages 143-148.
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Yongmin Kim. (2016) Generation of Land Cover Maps through the Fusion of Aerial Images and Airborne LiDAR Data in Urban Areas. Remote Sensing 8:6, pages 521.
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Zhaoqin Li & Xulin Guo. (2015) Remote sensing of terrestrial non-photosynthetic vegetation using hyperspectral, multispectral, SAR, and LiDAR data. Progress in Physical Geography: Earth and Environment 40:2, pages 276-304.
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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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Nils Lindgren, Pernilla Christensen, Björn Nilsson, Marianne Åkerholm, Anna Allard, Heather Reese & Håkan Olsson. (2015) Using Optical Satellite Data and Airborne Lidar Data for a Nationwide Sampling Survey. Remote Sensing 7:4, pages 4253-4267.
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Caixia Liu, Huabing Huang, Peng Gong, Xiaoyi Wang, Jie Wang, Wenyu Li, Congcong Li & Zhan Li. (2015) Joint Use of ICESat/GLAS and Landsat Data in Land Cover Classification: A Case Study in Henan Province, China. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 8:2, pages 511-522.
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Yi-Hsing Tseng, Cheng-Kai Wang, Hone-Jay Chu & Yu-Chia Hung. (2015) Waveform-based point cloud classification in land-cover identification. International Journal of Applied Earth Observation and Geoinformation 34, pages 78-88.
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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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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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