D2 Artikkeli ammatillisessa kokoomateoksessa
Remote Sensing of Forests from LiDAR and Radar
Tekijät: 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
Toimittaja: Thenkabail, Prasad S.
Painos: Second Edition
Kustantaja: CRC Press
Julkaisuvuosi: 2025
Kokoomateoksen nimi: Remote Sensing Handbook, Volume IV: Forests, Biodiversity, Ecology, LULC, and Carbon
Aloitussivu: 47
Lopetussivu: 95
ISBN: 978-1-032-89103-3
eISBN: 978-1-00-354117-2
DOI: https://doi.org/10.1201/9781003541172-3
Verkko-osoite: https://doi.org/10.1201/9781003541172-3
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.