D2 Article in a professional compilation book
Remote Sensing of Forests from LiDAR and Radar
Authors: Hyyppä, Juha; Yu, Xiaowei; Karjalainen, Mika; Liang, Xinlian; Jaakkola, Anttoni; Wulder, Mike; Hollaus, Markus; White, Joanne C.; Vastaranta, Mikko; Pyörälä, Jiri; Yrttimaa, Tuomas; Saarinen, Ninni; Taher, Josef; Virtanen, Juho-Pekka; Matikainen, Leena; Wang, Yunsheng; Puttonen, Eetu; Campos, Mariana; Hyyppä, Matti; Karila, Kirsi; Kaartinen, Harri; Vaaja, Matti; Kankare, Ville; Kukko, Antero; Holopainen, Markus; Hyyppä, Hannu; Katoh, Masato; Hyyppä, Eric
Editors: Thenkabail, Prasad S.
Edition: Second Edition
Publisher: CRC Press
Publication year: 2025
Book title : Remote Sensing Handbook, Volume IV: Forests, Biodiversity, Ecology, LULC, and Carbon
First page : 47
Last page: 95
ISBN: 978-1-032-89103-3
eISBN: 978-1-00-354117-2
DOI: https://doi.org/10.1201/9781003541172-3(external)
Web address : https://doi.org/10.1201/9781003541172-3(external)
This chapter is about collecting three-dimensional (3D) information from LiDAR and radar and turning that information into valuable forest informatics. Similar pipelines can be applied for both LiDAR and radar data. We aim to demonstrate that LiDAR and radar point clouds are processed in a very similar processing chain, which has been originally developed for airborne LiDAR for stand-level forest inventory in boreal forest area. Additionally, we highlight a number of future techniques that will further challenge current operational inventory systems.