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Aboveground biomass changes in tropical montane forest of Northern Borneo estimated using spaceborne and airborne digital elevation data

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اقرأ أكثر حفظ في قائمتي
  • المؤلفون: Ho, Yan Loh; Daniel James; Keiko, Ioki; Wong, Wilson Vun Chiong; Satoshi, Tsuyuki; Phua, Mui How
  • نوع التسجيلة:
    Electronic Resource
  • الدخول الالكتروني :
    http://eprints.ums.edu.my/id/eprint/29098/1/Aboveground%20biomass%20changes%20in%20tropical%20montane%20forest%20of%20Northern%20Borneo%20estimated%20using%20spaceborne%20and%20airborne%20digital%20elevation%20data%20ABSTRACT.pdf
    http://eprints.ums.edu.my/id/eprint/29098/2/Aboveground%20biomass%20changes%20in%20tropical%20montane%20forest%20of%20Northern%20Borneo%20estimated%20using%20spaceborne%20and%20airborne%20digital%20elevation%20data%20FULL%20TEXT.pdf
    http://eprints.ums.edu.my/id/eprint/29098/
    https://www.mdpi.com/2072-4292/12/22/3677/htm
    http://eprints.ums.edu.my/id/eprint/29098
    https://www.mdpi.com/2072-4292/12/22/3677/htm
    http://dx.doi.org/10.3390/rs12223677
  • معلومة اضافية
    • Publisher Information:
      Multidisciplinary Digital Publishing Institute (MDPI) AG 2020
    • نبذة مختصرة :
      Monitoring anthropogenic disturbances on aboveground biomass (AGB) of tropical montane forests is crucial, but challenging, due to a lack of historical AGB information. We examined the use of spaceborne (Shuttle Radar Topographic Mission Digital Elevation Model (SRTM) digital surface model (DSM)) and airborne (Light Detection and Ranging (LiDAR)) digital elevation data to estimate tropical montane forest AGB changes in northern Borneo between 2000 and 2012. LiDAR canopy height model (CHM) mean values were used to calibrate SRTM CHM in different pixel resolutions (1, 5, 10, and 30 m). Regression analyses between field AGB of 2012 and LiDAR CHM means at different resolutions identified the LiDAR CHM mean at 1 m resolution as the best model (modeling efficiency = 0.798; relative root mean square error = 25.81%). Using the multitemporal AGB maps, the overall mean AGB decrease was estimated at 390.50 Mg/ha, but AGB removal up to 673.30 Mg/ha was estimated in the managed forests due to timber extraction. Over the 12 years, the AGB accumulated at a rate of 10.44 Mg/ha/yr, which was attributed to natural regeneration. The annual rate in the village area was 8.31 Mg/ha/yr, which was almost 20% lower than in the managed forests (10.21 Mg/ha/yr). This study identified forestry land use, especially commercial logging, as the main driver for the AGB changes in the montane forest. As SRTM DSM data are freely available, this approach can be used to estimate baseline historical AGB information for monitoring forest AGB changes in other tropical regions.
    • الموضوع:
      QH1-(199.5) General Including nature conservation, geographical distribution; Article; PeerReviewed
    • Availability:
      Open access content. Open access content
    • Note:
      text
      text
      English
      English
    • Other Numbers:
      APUMS oai:eprints.ums.edu.my:29098
      Ho, Yan Loh and Daniel James and Keiko, Ioki and Wong, Wilson Vun Chiong and Satoshi, Tsuyuki and Phua, Mui How (2020) Aboveground biomass changes in tropical montane forest of Northern Borneo estimated using spaceborne and airborne digital elevation data. Remote Sensing, 12. pp. 1-16. ISSN 2072-4292
      1286533476
    • Contributing Source:
      UNIV MALAYSIA SABAH
      From OAIster®, provided by the OCLC Cooperative.
    • الرقم المعرف:
      edsoai.on1286533476
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