Analyzing canopy height variations in secondary tropical forests of Malaysia using NASA GEDI

Tropical forests play a significant role in regulating the average global atmospheric temperature encompassing 25 % of the carbon present in the terrestrial biosphere. However, the rapid change in climate, arising from unsustainable human practices, can significantly affect their carbon uptake capability in the future. For understanding these deviations, it is important to identify and quantify the large-scale canopy height variations arising from previous anthropogenic disturbances. With the advent of NASA GEDI spaceborne LiDAR (light detection and ranging), it is now possible to acquire three-dimensional vertical structural data of forests globally. In this study, we evaluate the applicability of GEDI for analyzing relative canopy height variations of secondary tropical forests of different age groups located across multiple geographical regions of peninsular Malaysia. The results for RH98 GEDI metric trends for the lowland and hill forests category across 4 different disturbance groups show a positive correlation between mean relative height and secondary forest ages. The consistency of these findings with previous studies in the region indicate the usefulness of GEDI to provide valuable insights into the patterns and drivers of forest height variation. Thus, this study contributes toward the operationalization of spaceborne LiDAR technology for monitoring forest disturbances and measuring biomass recovery rates and should help support large-scale sustainable forest management initiatives with respect to the tropical forests of Malaysia.

[1]  R. Dubayah,et al.  Fusing simulated GEDI, ICESat-2 and NISAR data for regional aboveground biomass mapping , 2021, Remote Sensing of Environment.

[2]  Chengquan Huang,et al.  Monitoring Key Forest Structure Attributes across the Conterminous United States by Integrating GEDI LiDAR Measurements and VIIRS Data , 2021, Remote. Sens..

[3]  Mohd Talib Latif,et al.  Carbon Emissions from Oil Palm Induced Forest and Peatland Conversion in Sabah and Sarawak, Malaysia , 2020, Forests.

[4]  M. Hansen,et al.  Mapping global forest canopy height through integration of GEDI and Landsat data , 2020 .

[5]  Luigi Boschetti,et al.  Estimating Time Since the Last Stand-Replacing Disturbance (TSD) from Spaceborne Simulated GEDI Data: A Feasibility Study , 2020, Remote. Sens..

[6]  Siti Nor Maizah Saad,et al.  The Influence of Deforestation on Land Surface Temperature—A Case Study of Perak and Kedah, Malaysia , 2020, Forests.

[7]  Sorin C. Popescu,et al.  Using ICESat-2 to Estimate and Map Forest Aboveground Biomass: A First Example , 2020, Remote. Sens..

[8]  Marc Simard,et al.  Biomass estimation from simulated GEDI, ICESat-2 and NISAR across environmental gradients in Sonoma County, California , 2020, Remote Sensing of Environment.

[9]  Scott J. Goetz,et al.  The Global Ecosystem Dynamics Investigation: High-resolution laser ranging of the Earth’s forests and topography , 2020, Science of Remote Sensing.

[10]  A. M. S. Lau,et al.  Canopy height recovery after selective logging in a lowland tropical rain forest , 2019, Forest Ecology and Management.

[11]  E. Mitchard The tropical forest carbon cycle and climate change , 2018, Nature.

[12]  Sassan Saatchi,et al.  Impacts of Airborne Lidar Pulse Density on Estimating Biomass Stocks and Changes in a Selectively Logged Tropical Forest , 2017, Remote. Sens..

[13]  Arturo Sanchez-Azofeifa,et al.  Twenty‐first century remote sensing technologies are revolutionizing the study of tropical forests , 2017 .

[14]  M. Hashim,et al.  Spatial and temporal variations in the light environment in a primary and selectively logged forest long after logging in Peninsular Malaysia , 2014, Trees.

[15]  Michael A. Wulder,et al.  Estimating forest canopy height and terrain relief from GLAS waveform metrics , 2010 .

[16]  G. Hurtt,et al.  Estimation of tropical forest height and biomass dynamics using lidar remote sensing at La Selva, Costa Rica , 2009 .

[17]  H. Koizumi,et al.  The effects of logging on soil greenhouse gas (CO2, CH4, N2O) flux in a tropical rain forest, Peninsular Malaysia , 2008 .

[18]  N. Manokaran,et al.  Effect of selective logging on canopy and stand structure and tree species composition in a lowland dipterocarp forest in peninsular Malaysia , 2003 .

[19]  S. Ehsan,et al.  CANOPY GAP DYNAMICS OF TWO DIFFERENT FOREST STANDS IN A MALAYSIAN LOWLAND RAIN FOREST , 2006 .