Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Afif Abu Bakar"'
Non-Destructive, Laser-Based Individual Tree Aboveground Biomass Estimation in a Tropical Rainforest
Autor:
Muhammad Zulkarnain Abd Rahman, Md Afif Abu Bakar, Khamarrul Azahari Razak, Abd Wahid Rasib, Kasturi Devi Kanniah, Wan Hazli Wan Kadir, Hamdan Omar, Azahari Faidi, Abd Rahman Kassim, Zulkiflee Abd Latif
Publikováno v:
Forests, Vol 8, Iss 3, p 86 (2017)
Recent methods for detailed and accurate biomass and carbon stock estimation of forests have been driven by advances in remote sensing technology. The conventional approach to biomass estimation heavily relies on the tree species and site-specific al
Externí odkaz:
https://doaj.org/article/9cfdaf3917ea4649a4e912fd5bfc852d
Non-Destructive, Laser-Based Individual Tree Aboveground Biomass Estimation in a Tropical Rainforest
Autor:
Azahari Faidi, Kasturi Devi Kanniah, Wan Hazli Wan Kadir, Abd. Wahid Rasib, Zulkiflee Abd Latif, Khamarrul Azahari Razak, Hamdan Omar, Muhammad Zulkarnain Abd Rahman, Afif Abu Bakar, Abd Rahman Kassim
Publikováno v:
Forests; Volume 8; Issue 3; Pages: 86
Forests, Vol 8, Iss 3, p 86 (2017)
Forests, Vol 8, Iss 3, p 86 (2017)
Recent methods for detailed and accurate biomass and carbon stock estimation of forests have been driven by advances in remote sensing technology. The conventional approach to biomass estimation heavily relies on the tree species and site-specific al
Autor:
Kasturi Devi Kanniah, Khamarrul Azahari Razak, Muhammad Zulkarnain Abdul Rahman, Abd. Wahid Rasib, Afif Abu Bakar, Nurliyana Izzati Ishak, Alvin Lau Meng Shin
Publikováno v:
Jurnal Teknologi. 77
This paper presents a novel non-destructive approach for individual tree stem and branch biomass estimation using terrestrial laser scanning data. The study area is located at the Royal Belum Reserved Forest area, Gerik, Perak. Each forest plot was d
Autor:
Zulkepli Majid, Wan Hazli Wan Kadir, Muhammad Zulkarnain Abdul Rahman, Abd. Wahid Rasib, Afif Abu Bakar
Publikováno v:
Jurnal Teknologi. 73
Detailed forest inventory and mensuration of individual trees have drawn attention of research society mainly to support sustainable forest management. This study aims at estimating individual tree attributes from high density point cloud obtained by