International journal of applied earth observation and geoinformation2019，Vol.797.DOI:10.1016/j.jag.2019.03.014

Monitoring the structure of forest restoration plantations with a drone-lidar system

Almeida, D. R. A. Broadbent, E. N. Zambrano, A. M. A. Wilkinson, B. E. Ferreira, M. E. Chazdon, R. Meli, P. Gorgens, E. B. Silva, C. A. Stark, S. C. Valbuena, R. Papa, D. A. Brancalion, P. H. S.
International journal of applied earth observation and geoinformation2019，Vol.797.DOI:10.1016/j.jag.2019.03.014
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  • NSTL
  • Elsevier

Monitoring the structure of forest restoration plantations with a drone-lidar system

Almeida, D. R. A. 1Broadbent, E. N. 2Zambrano, A. M. A. 2Wilkinson, B. E. 2Ferreira, M. E. 3Chazdon, R. 4Meli, P. 1Gorgens, E. B. 5Silva, C. A. 6Stark, S. C. 7Valbuena, R. 8Papa, D. A. 9Brancalion, P. H. S.1
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作者信息

  • 1. Univ Sao Paulo USP ESALQ, Luiz de Queiroz Coll Agr, Dept Forest Sci, Piracicaba, SP, Brazil
  • 2. Univ Florida, Sch Forest Resources & Conservat, Gainesville, FL 32611 USA
  • 3. Univ Fed Goias, Social Environm Studies Inst, Image Proc & GIS Lab, Goiania, Go, Brazil
  • 4. Univ Connecticut, Dept Ecol & Evolutionary Biol, Storrs, CT USA
  • 5. Fed Univ Vales Jequitinhonha & Mucuri UFVJM, Dept Forestry, Diamantina, MG, Brazil
  • 6. NASA, Biosci Lab, Goddard Space Flight Ctr, Laurel, MD 20707 USA
  • 7. Michigan State Univ, Dept Forestry, E Lansing, MI 48824 USA
  • 8. Bangor Univ, Sch Nat Sci, Bangor, Gwynedd, Wales
  • 9. Embrapa Acre, Rodovia BR-364,Km 14, BR-69900056 Rio Branco, Acre, Brazil
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Abstract

We are in an unprecedented moment for promoting forest restoration globally, with international and regional pledges to restore at least 350 million hectares by 2030. To achieve these ambitious goals, it is necessary to go beyond traditional plot-scale assessments and develop cost-effective technologies that can monitor the structure and function of restored forests at much broader scales. Lidar remote sensing in unmanned aerial vehicle (UAV) platforms can be an agile and autonomous method for monitoring forest restoration projects, especially under conditions when information updates are frequently needed in relatively small areas or, when using an airplane borne lidar system may be not financially viable. Here, we explored the potential of an UAV-borne lidar system to assess the outcomes of a mixed-species restoration plantation experiment, designed to maximize aboveground biomass (AGB) accumulation. The experiment was established in Brazil's Atlantic Forest, with 20 native tree species, by combining two levels of planting density and two management levels, totaling four treatment combinations and one control (plots left over for natural regeneration). We analyzed three structural variables from lidar data (canopy height, gap fraction and leaf area index) and one from field inventory data (AGB). Structural differences between the treatments and the control plots were reliably distinguished by the UAV-borne lidar system. AGB was strongly correlated with canopy height, allowing us to elaborate a predictive equation to use the UAV-borne lidar system for monitoring structural features in other restoration plantations in the region. UAV-borne lidar systems showed enormous potential for monitoring relatively broad-scale (thousands of hectares) forest restoration projects, providing an important tool to aid decision making and accountability in forest landscape restoration.

Key words

Atlantic Forest/Leaf area index/Leaf area density/Tropical forest restoration/Forest landscape restoration/Tropical silviculture/Aboveground biomass/Gatoreye

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出版年

2019
International journal of applied earth observation and geoinformation

International journal of applied earth observation and geoinformation

SCI
ISSN：0303-2434
被引量35
参考文献量44
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