Remote sensing of forests from Lidar and Radar

Juha Hyyppä; Yu Xiaowei; Mika Karjalainen; Xinlian Liang; Anttoni Jaakkola; Mike Wulder; Markus Hollaus; Joanne C White; Mikko Vastaranta; Jiri Pyörälä; Tuomas Yrttimaa; Ninni  Saarinen; Josef Taher; Juho-Pekka Virtanen; Leena Matikainen; Yunsheng  Wang; Eetu  Puttonen; Mariana  Campos; Matti  Hyyppä; Kirsi Karila; Harri  Kaartinen; Matti Tapio Vaaja; Ville Kankare; Antero Kukko; Markus Holopainen; Hannu Hyyppä; Masato Katoh; Eric  Hyyppä

doi:10.1201/9781003541172-3

Remote sensing of forests from Lidar and Radar

Juha Hyyppä^*, Yu Xiaowei, Mika Karjalainen, Xinlian Liang, Anttoni Jaakkola, Mike Wulder, Markus Hollaus, Joanne C White, Mikko Vastaranta, Jiri Pyörälä, Tuomas Yrttimaa, Ninni Saarinen, Josef Taher, Juho-Pekka Virtanen, Leena Matikainen, Yunsheng Wang, Eetu Puttonen, Mariana Campos, Matti Hyyppä, Kirsi KarilaHarri Kaartinen, Matti Tapio Vaaja, Ville Kankare, Antero Kukko, Markus Holopainen, Hannu Hyyppä, Masato Katoh, Eric Hyyppä

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Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Chapter › Professional

Abstrakti

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.

Alkuperäiskieli	Englanti
Otsikko	Remote Sensing Handbook, Volume IV (Six Volume Set)
Alaotsikko	Forests, biodiversity, ecology, LULC, and carbon
Toimittajat	Prasad S. Thenkabail
Kustantaja	CRC Press
Luku	2
Sivut	47-95
Sivumäärä	49
Vuosikerta	IV
Painos	2nd Edition
ISBN (elektroninen)	978-1-003-54117-2
ISBN (painettu)	978-1-032-89103-3, 978-1-032-89104-0
DOI - pysyväislinkit	https://doi.org/10.1201/9781003541172-3
Tila	Julkaistu - 1 tammik. 2024
OKM-julkaisutyyppi	D2 Artikkeli ammatillisessa kokoomateoksessa

Pääsy asiakirjaan

10.1201/9781003541172-3

Muut tiedostot ja linkit

Linkki julkaisuun Scopuksessa

ModyFroad: Measuring, modelling and developing dynamic forest road quality system
Hyyppä, H. (Vastuullinen tutkija)
01/09/2024 → 31/08/2028
Projekti: Academy of Finland: Other research funding
MIXER - Aalto: Aware Multimodal Interaction and eXtended Reality for Cars and Mobile Work Machines
Hyyppä, H. (Vastuullinen tutkija)
01/04/2024 → 30/06/2026
Projekti: Business Finland: Strategic centres for science, technology and innovation (SHOK)
Digitaalinen kaupunkihiili 2.0: Digitaalinen kaupunkihiili 2.0 Uusimaa , Digital CityCarbon 2.0
Vaaja, M. T. (Vastuullinen tutkija)
Regional Council of Helsinki-Uusimaa, EU: Other EU funding (structural funds)
01/01/2024 → 31/12/2025
Projekti: EU: Structural funds EAKR (incl. Interreg)

3D-studio (i3)
Kurkela, M. (Manager)
Rakennetun ympäristön laitos
Laitteistot/tilat: Facility

Siteeraa tätä

Hyyppä, J., Xiaowei, Y., Karjalainen, M., Liang, X., Jaakkola, A., Wulder, M., Hollaus, M., White, J. C., Vastaranta, M., Pyörälä, J., Yrttimaa, T., Saarinen, N., Taher, J., Virtanen, J.-P., Matikainen, L., Wang, Y., Puttonen, E., Campos, M., Hyyppä, M., ... Hyyppä, E. (2024). Remote sensing of forests from Lidar and Radar. teoksessa P. S. Thenkabail (Toimittaja), Remote Sensing Handbook, Volume IV (Six Volume Set): Forests, biodiversity, ecology, LULC, and carbon (2nd Edition toim., Vuosikerta IV, Sivut 47-95). CRC Press. https://doi.org/10.1201/9781003541172-3

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abstract = "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.",

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doi = "10.1201/9781003541172-3",

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Hyyppä, J, Xiaowei, Y, Karjalainen, M, Liang, X, Jaakkola, A, Wulder, M, Hollaus, M, White, JC, Vastaranta, M, Pyörälä, J, Yrttimaa, T, Saarinen, N, Taher, J, Virtanen, J-P, Matikainen, L, Wang, Y, Puttonen, E, Campos, M, Hyyppä, M, Karila, K, Kaartinen, H, Vaaja, MT, Kankare, V, Kukko, A, Holopainen, M, Hyyppä, H, Katoh, M & Hyyppä, E 2024, Remote sensing of forests from Lidar and Radar. julkaisussa PS Thenkabail (Toimittaja), Remote Sensing Handbook, Volume IV (Six Volume Set): Forests, biodiversity, ecology, LULC, and carbon. 2nd Edition toim, Vuosikerta IV, CRC Press, Sivut 47-95. https://doi.org/10.1201/9781003541172-3

Remote sensing of forests from Lidar and Radar. / Hyyppä, Juha; Xiaowei, Yu; Karjalainen, Mika et al.
Remote Sensing Handbook, Volume IV (Six Volume Set): Forests, biodiversity, ecology, LULC, and carbon. toim. / Prasad S. Thenkabail. Vuosikerta IV 2nd Edition. toim. CRC Press, 2024. s. 47-95.

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Chapter › Professional

TY - CHAP

T1 - Remote sensing of forests from Lidar and Radar

AU - Hyyppä, Juha

AU - Xiaowei, Yu

AU - Karjalainen, Mika

AU - Liang, Xinlian

AU - Jaakkola, Anttoni

AU - Wulder, Mike

AU - Hollaus, Markus

AU - White, Joanne C

AU - Vastaranta, Mikko

AU - Pyörälä, Jiri

AU - Yrttimaa, Tuomas

AU - Saarinen, Ninni

AU - Taher, Josef

AU - Virtanen, Juho-Pekka

AU - Matikainen, Leena

AU - Wang, Yunsheng

AU - Puttonen, Eetu

AU - Campos, Mariana

AU - Hyyppä, Matti

AU - Karila, Kirsi

AU - Kaartinen, Harri

AU - Vaaja, Matti Tapio

AU - Kankare, Ville

AU - Kukko, Antero

AU - Holopainen, Markus

AU - Hyyppä, Hannu

AU - Katoh, Masato

AU - Hyyppä, Eric

PY - 2024/1/1

Y1 - 2024/1/1

N2 - 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.

AB - 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.

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DO - 10.1201/9781003541172-3

M3 - Chapter

SN - 978-1-032-89103-3

SN - 978-1-032-89104-0

VL - IV

SP - 47

EP - 95

BT - Remote Sensing Handbook, Volume IV (Six Volume Set)

A2 - Thenkabail, Prasad S.

PB - CRC Press

ER -

Remote sensing of forests from Lidar and Radar

Abstrakti

Pääsy asiakirjaan

Muut tiedostot ja linkit

Sormenjälki

Projektit

ModyFroad: Measuring, modelling and developing dynamic forest road quality system

MIXER - Aalto: Aware Multimodal Interaction and eXtended Reality for Cars and Mobile Work Machines

Digitaalinen kaupunkihiili 2.0: Digitaalinen kaupunkihiili 2.0 Uusimaa , Digital CityCarbon 2.0

Laitteet

3D-studio (i3)

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