000			02673cam a2200301zu 4500
001			88963058
003			FRCYB88963058
005			20250429180858.0
006			m o d
007			cr un
008			250429s2023 fr | o|||||0|0|||eng d
020			_a9780128238943
035			_aFRCYB88963058
040			_aFR-PaCSA _ben _c _erda
100	1		_aGuo, Qinghua
245	0	1	_aLiDAR Principles, Processing and Applications in Forest Ecology _c['Guo, Qinghua', 'Su, Yanjun', 'Hu, Tianyu']
264		1	_bAcademic Press _c2023
300			_a p.
336			_btxt _2rdacontent
337			_bc _2rdamdedia
338			_bc _2rdacarrier
650		0	_a
700	0		_aGuo, Qinghua
700	0		_aSu, Yanjun
700	0		_aHu, Tianyu
856	4	0	_2Cyberlibris _uhttps://international.scholarvox.com/netsen/book/88963058 _qtext/html _a
520			_aLiDAR Principles, Processing and Applications in Forest Ecology introduces the principles of LiDAR technology and explains how to collect and process LiDAR data from different platforms based on real-world experience. The book provides state-of the-art algorithms on how to extract forest parameters from LiDAR and explains how to use them in forest ecology. It gives an interdisciplinary view, from the perspective of remote sensing and forest ecology. Because LiDAR is still rapidly developing, researchers must use programming languages to understand and process LiDAR data instead of established software. In response, this book provides Python code examples and sample data. Sections give a brief history and introduce the principles of LiDAR, as well as three commonly seen LiDAR platforms. The book lays out step-by-step coverage of LiDAR data processing and forest structure parameter extraction, complete with Python examples. Given the increasing usefulness of LiDAR in forest ecology, this volume represents an important resource for researchers, students and forest managers to better understand LiDAR technology and its use in forest ecology across the world. The title contains over 15 years of research, as well as contributions from scientists across the world. - Presents LiDAR applications for forest ecology based in real-world experience - Lays out the principles of LiDAR technology in forest ecology in a systematic and clear way - Provides readers with state-of the-art algorithms on how to extract forest parameters from LiDAR - Offers Python code examples and sample data to assist researchers in understanding and processing LiDAR data - Contains over 15 years of research on LiDAR in forest ecology and contributions from scientists working in this field across the world
999			_c1323451 _d1323451