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[1]
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Mapping Forest Stock Volume Based on Growth Characteristics of Crown Using Multi-Temporal Landsat 8 OLI and ZY-3 Stereo Images in Planted Eucalyptus Forest
Remote Sensing,
2022
DOI:10.3390/rs14205082
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[2]
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Integration of Multi-Sensor Data to Estimate Plot-Level Stem Volume Using Machine Learning Algorithms–Case Study of Evergreen Conifer Planted Forests in Japan
Remote Sensing,
2020
DOI:10.3390/rs12101649
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[3]
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Differentiating forest types using TerraSAR–X spotlight images based on inferential statistics and multivariate analysis
Remote Sensing Applications: Society and Environment,
2019
DOI:10.1016/j.rsase.2019.100238
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[4]
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Mapping Growing Stem Volume of Chinese Fir Plantation Using a Saturation-based Multivariate Method and Quad-polarimetric SAR Images
Remote Sensing,
2019
DOI:10.3390/rs11161872
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[5]
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Advantages of unmanned aerial vehicle (UAV) photogrammetry for landscape analysis compared with satellite data: A case study of postmining sites in Indonesia
Cogent Geoscience,
2018
DOI:10.1080/23312041.2018.1498180
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[6]
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Estimating Tree Height and Diameter at Breast Height (DBH) from Digital Surface Models and Orthophotos Obtained with an Unmanned Aerial System for a Japanese Cypress (Chamaecyparis obtusa) Forest
Remote Sensing,
2017
DOI:10.3390/rs10010013
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[7]
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Estimation of CO2 Sequestration by the Forests in Japan by Discriminating Precise Tree Age Category using Remote Sensing Techniques
Remote Sensing,
2015
DOI:10.3390/rs71115082
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