Tree height derived from point clouds of UAV compared to airborne laser scanning and its effect on estimating biomass and carbon stock in tropical rain forest of Malaysia

John Reuben, Y.A. Hussin, H. Kloosterman, Mohd Hasmadi Ismail

Research output: Contribution to conferencePaperAcademicpeer-review

Abstract

Forests occupy about one-third of the land area of the earth and have been playing crucial role in regulating the adverse effect of increased emission of greenhouse gasses. Tropical rain forests have higher capacity to sequester carbon dioxide and hence play a role in stabilization of the concentration of greenhouse gasses in the atmosphere. Forest inventory parameters require accurate information for biomass and carbon stock estimation. However, acquiring of forest inventory parameters data especially tree height for estimation of biomass and carbon stock is often a major challenge in tropical forest. A conventional method that is data acquisition using handless tool is tiresome, labor intensive, not applicable in large area and cumbersome approach due to the complexity of tropical forest. On the other hand, data collection using LiDAR technology, is expensive and therefore not readily available. However, rapid advancement in photogrammetry technology in both hardware (i.e., Unmanned Aerial Vehicle) and software (i.e., image matching algorisms) led on data acquisition of fine spatial resolution imagery of less than a meter with notably improved revisit time at affordable cost. Therefore, this study aimed to assess the accuracy of measuring tree height using drone in comparison to that of Airborne LiDAR and assessing its effect on estimating forest biomass and carbon stock.

Original languageEnglish
Publication statusPublished - 1 Jan 2017
Event38th Asian Conference on Remote Sensing 2017: Space Applications: Touching Human Lives - The Ashok Hotel, New Delhi, India
Duration: 23 Oct 201727 Oct 2017
Conference number: 38
https://www.isro.gov.in/38th-asian-conference-remote-sensing
http://www.acrs2017.org/

Conference

Conference38th Asian Conference on Remote Sensing 2017
Abbreviated titleACRS 2017
CountryIndia
CityNew Delhi
Period23/10/1727/10/17
Internet address

Fingerprint

Unmanned aerial vehicles (UAV)
Rain
Biomass
Greenhouses
Scanning
Carbon
Lasers
Data acquisition
Image matching
Photogrammetry
Carbon dioxide
Stabilization
Earth (planet)
Personnel
Hardware
Costs

Keywords

  • Climate change
  • REDD+
  • Remote sensing
  • Unmanned aerial vehicle

Cite this

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title = "Tree height derived from point clouds of UAV compared to airborne laser scanning and its effect on estimating biomass and carbon stock in tropical rain forest of Malaysia",
abstract = "Forests occupy about one-third of the land area of the earth and have been playing crucial role in regulating the adverse effect of increased emission of greenhouse gasses. Tropical rain forests have higher capacity to sequester carbon dioxide and hence play a role in stabilization of the concentration of greenhouse gasses in the atmosphere. Forest inventory parameters require accurate information for biomass and carbon stock estimation. However, acquiring of forest inventory parameters data especially tree height for estimation of biomass and carbon stock is often a major challenge in tropical forest. A conventional method that is data acquisition using handless tool is tiresome, labor intensive, not applicable in large area and cumbersome approach due to the complexity of tropical forest. On the other hand, data collection using LiDAR technology, is expensive and therefore not readily available. However, rapid advancement in photogrammetry technology in both hardware (i.e., Unmanned Aerial Vehicle) and software (i.e., image matching algorisms) led on data acquisition of fine spatial resolution imagery of less than a meter with notably improved revisit time at affordable cost. Therefore, this study aimed to assess the accuracy of measuring tree height using drone in comparison to that of Airborne LiDAR and assessing its effect on estimating forest biomass and carbon stock.",
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Reuben, J, Hussin, YA, Kloosterman, H & Ismail, MH 2017, 'Tree height derived from point clouds of UAV compared to airborne laser scanning and its effect on estimating biomass and carbon stock in tropical rain forest of Malaysia' Paper presented at 38th Asian Conference on Remote Sensing 2017, New Delhi, India, 23/10/17 - 27/10/17, .

Tree height derived from point clouds of UAV compared to airborne laser scanning and its effect on estimating biomass and carbon stock in tropical rain forest of Malaysia. / Reuben, John; Hussin, Y.A.; Kloosterman, H.; Ismail, Mohd Hasmadi.

2017. Paper presented at 38th Asian Conference on Remote Sensing 2017, New Delhi, India.

Research output: Contribution to conferencePaperAcademicpeer-review

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T1 - Tree height derived from point clouds of UAV compared to airborne laser scanning and its effect on estimating biomass and carbon stock in tropical rain forest of Malaysia

AU - Reuben, John

AU - Hussin, Y.A.

AU - Kloosterman, H.

AU - Ismail, Mohd Hasmadi

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