Pregled bibliografske jedinice broj: 1201111
Close-Range Remote Sensing of Forests: The State of the Art, Challenges, and Opportunities for Systems and Data Acquisitions
Close-Range Remote Sensing of Forests: The State of the Art, Challenges, and Opportunities for Systems and Data Acquisitions // IEEE Geoscience and Remote Sensing Magazine, 2022 (2022), 2-41 doi:10.1109/mgrs.2022.3168135 (međunarodna recenzija, pregledni rad, znanstveni)
CROSBI ID: 1201111 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Close-Range Remote Sensing of Forests: The State
of the Art, Challenges, and Opportunities for
Systems and Data Acquisitions
Autori
Liang, Xinlian ; Kukko, Antero ; Balenovic, Ivan ; Ninni, Saarinen ; Junttila, Samuli ; Kankare, Ville ; Holopainen, Markus ; Martin, Mokros ; Surovy, Peter ; Kaartinen, Harri ; Luka, Jurjevic ; Honkavaara, Eija ; Nasi, Roope ; Jingbin, Liu ; Hollaus, Markus ; Tian, Jiaojiao ; Yu, Xiaowei ; Jie, Pan ; Shangshu, Cai ; Virtanen, Juho-Pekka ; Wang, Yunsheng ; Hyyppa, Juha
Izvornik
IEEE Geoscience and Remote Sensing Magazine (2168-6831) 2022
(2022);
2-41
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, pregledni rad, znanstveni
Ključne riječi
Forestry ; Remote sensing ; Vegetation ; Sensors ; Protocols ; Satellites ; Reliability
Sažetak
It can be concluded that close-range remote sensing has fundamentally changed the landscape of forest in situ inventories. The most significant impact is that the technology has turned many previously impossible investigation scenarios into possible ones, reshaping the possibilities for future forest in situ observations by improving the automation, detail, accuracy, and comprehensiveness of data collection. The urgent problems to solve include the limited completeness and geometric accuracy of data as well as insufficient processing power, which limit advanced and practical applications and call for further studies. This review also provides practitioners useful guidance to select suitable systems and operational protocols when applying close-range remote sensing to collect tree and forest attributes at individual tree and plot levels.
Izvorni jezik
Engleski
Znanstvena područja
Geodezija, Interdisciplinarne tehničke znanosti, Šumarstvo
POVEZANOST RADA
Projekti:
IP-2016-06-7686 - Uporaba podataka daljinskih istraživanja dobivenih različitim 3D optičkim izvorima u izmjeri šuma (3D-FORINVENT) (Balenović, Ivan, HRZZ - 2016-06) ( CroRIS)
Ustanove:
Hrvatski šumarski institut, Jastrebarsko
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus