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Yulu Hao, Mengdi Li, Jianyu Wang, Xiangyu Li and Junmin Chen
The development and functional perfection of urban areas have led to increasingly severe fire risks in recent decades. Previous urban fire risk assessment methods relied on subjective judgment, rough data collection, simple linear statistical methods, et...
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Vahid Nasiri, Seyed Mohammad Moein Sadeghi, Fardin Moradi, Samaneh Afshari, Azade Deljouei, Verena C. Griess, Carmen Maftei and Stelian Alexandru Borz
Forest canopy cover (FCC) is one of the most important forest inventory parameters and plays a critical role in evaluating forest functions. This study examines the potential of integrating Sentinel-1 (S-1) and Sentinel-2 (S-2) data to map FCC in the het...
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Zehra Cetin and Naci Yastikli
Trees are the key components of urban vegetation in cities. The timely and accurate identification of existing urban tree species with their location is the most important task for improving air, water, and land quality; reducing carbon accumulation; mit...
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Grayson R. Morgan, Cuizhen Wang, Zhenlong Li, Steven R. Schill and Daniel R. Morgan
Deep learning techniques are increasingly being recognized as effective image classifiers. Aside from their successful performance in past studies, the accuracies have varied in complex environments, in comparison with the popularly of applied machine le...
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Yinzhi Zhao, Jingui Zou, Jiming Guo, Gege Huang and Lixian Cai
Ultra-wideband (UWB) technology is suitable for indoor positioning owing to its high resolution and penetration. However, the current UWB positioning methods not only fail to fully analyze errors, but do not have the ability to eliminate gross and large ...
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