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Geocarto International Volume 37, 2022 - Issue 25
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Research Articles

Unlocking the potential of hyperspectral and LiDAR for above-ground biomass (AGB) and tree species classification in tropical forests

Nik Ahmad Faris Nik Effendia Centre of Studies for Surveying Science and Geomatics, Faculty of Architecture, Planning and Surveying, Universiti Teknologi MARA, Cawangan Perlis, Arau, Perlis, MalaysiaORCID Iconhttps://orcid.org/0000-0002-2217-6854View further author information
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Nurul Ain Mohd Zakia Centre of Studies for Surveying Science and Geomatics, Faculty of Architecture, Planning and Surveying, Universiti Teknologi MARA, Cawangan Perlis, Arau, Perlis, Malaysia;b Institute for Biodiversity and Sustainable Development (IBSD), Universiti Teknologi MARA, Shah Alam, Selangor, MalaysiaCorrespondence[email protected]
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Zulkiflee Abd Latifb Institute for Biodiversity and Sustainable Development (IBSD), Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia;c Centre of Studies for Surveying Science and Geomatics, Faculty of Architecture, Planning and Surveying, Universiti Teknologi MARA, Shah Alam, Selangor, MalaysiaORCID Iconhttps://orcid.org/0000-0002-6005-5551View further author information
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Mohd Nazip Suratmanb Institute for Biodiversity and Sustainable Development (IBSD), Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia;d Faculty of Applied Sciences, Universiti Teknologi MARA, Shah Alam, Selangor, MalaysiaORCID Iconhttps://orcid.org/0000-0002-0910-4813View further author information
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Sharifah Norashikin Boharia Centre of Studies for Surveying Science and Geomatics, Faculty of Architecture, Planning and Surveying, Universiti Teknologi MARA, Cawangan Perlis, Arau, Perlis, MalaysiaORCID Iconhttps://orcid.org/0000-0002-0136-3028View further author information
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Mohd Zainee Zainala Centre of Studies for Surveying Science and Geomatics, Faculty of Architecture, Planning and Surveying, Universiti Teknologi MARA, Cawangan Perlis, Arau, Perlis, MalaysiaORCID Iconhttps://orcid.org/0000-0003-3040-4025View further author information
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Hamdan Omare Geoinformation Programme, Division of Forestry & Environment, Forest Research Institute Malaysia (FRIM), Kepong, Selangor, MalaysiaORCID Iconhttps://orcid.org/0000-0002-8565-1122View further author information
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Pages 8036-8061 | Received 23 Mar 2021, Accepted 30 Sep 2021, Published online: 18 Oct 2021

Citations (3)

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Read on this site (1)

Beheshteh Khosravi, Maryam Imani & Hassan Ghassemian. (2023) Shaped patch based nonparametric discriminant analysis for hyperspectral image classification through the CNN model. International Journal of Remote Sensing 44:6, pages 1789-1819.
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Articles from other publishers (2)

Nurul Ain Mohd Zaki, Azinuddin Mohd Asri, Nur Ilyani Mohd Zulkiflee, Zulkiflee Abd Latif, Tajul Rosli Razak & Mohd Nazip Suratman. 2022. Concepts and Applications of Remote Sensing in Forestry. Concepts and Applications of Remote Sensing in Forestry 115 133 .
Hamdan Omar. 2022. Concepts and Applications of Remote Sensing in Forestry. Concepts and Applications of Remote Sensing in Forestry 27 48 .

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