Tracking Forest Height Growth Over Time with ICESat-2 ATL08
dc.contributor.author | Poncy, William | en |
dc.contributor.committeechair | Thomas, Valerie Anne | en |
dc.contributor.committeechair | Wynne, Randolph H. | en |
dc.contributor.committeemember | Green, Patrick Corey | en |
dc.contributor.department | Forest Resources and Environmental Conservation | en |
dc.date.accessioned | 2025-06-03T08:08:08Z | en |
dc.date.available | 2025-06-03T08:08:08Z | en |
dc.date.issued | 2025-06-02 | en |
dc.description.abstract | Accurate quantification of forest structure is necessary for forest inventory, growth prediction, and carbon stock estimates. Since late 2018, the ICESat-2 mission has employed a photon-counting LiDAR system to estimate along-track ground and canopy heights above the WGS 84 ellipsoid. This mission provides repeat coverage in 100 m data segments across the globe. In this research, we used multiple years of ICESat-2 ATL08 data to identify canopy height growth over time across the forest cover types and disturbance histories in a coastal region of North Carolina, a site selected for its homogenous topography and high industrial forest activity. ATL08 canopy height estimations demonstrate strong alignment (R2 = 0.88, RMSE = 2.64 meters) with coincident airborne laser scanning. Because ICESat-2 covers different locations each year, equivalence tests were used to ensure year-to-year samples were spatially comparable. Equivalence tests show that locations sampled by ICESat-2 are equivalent within a margin of 2 meters of canopy height. Reference data from U.S. Forest Service plots within our study area provide an expected growth rate of 0.34 meters per year, and a net growth of 1.68 meters over a five-year timeframe. Multiple statistical approaches reveal that canopy height growth is detectable within five years of ATL08 data. However, stratifying growth trends by forest cover type and disturbance history yields nuanced results, as these factors are likely to influence each other. Ultimately, this research can serve as a proof-of-concept for using multiple years of spaceborne LiDAR data to detect canopy height growth. Future research should explore the detection of growth using spaceborne LiDAR data in other regions of the globe, as solid results could demonstrate the potential of the ATL08 product in global forest structural monitoring in the face of a changing climate. | en |
dc.description.abstractgeneral | Changes in forest height are used in estimating aboveground biomass, quantifying forest productivity levels, and identifying the occurrence of disturbance events. Forest height is commonly estimated with light detection and ranging (LiDAR), efficiently providing precise measurements over large regions. With the availability of satellite LiDAR data, we would like to know if LiDAR data from space can be used to measure how fast trees are getting taller. In this study, we used land and vegetation heights derived using a spaceborne sampling LiDAR, NASA's Ice, Cloud and Land Elevation Satellite-2 (ICESat-2), to assess forest height growth in a region of coastal North Carolina. After making sure that (1) tree heights are measured well from space and (2) samples the sensor collected each year in different places are representative of the forests in the area, we show that ICESat-2 land and vegetation height data can successfully detect forest height growth over five years. Spaceborne LiDARs can thus measure, at least in some areas, how fast forests are growing. | en |
dc.description.degree | Master of Science | en |
dc.format.medium | ETD | en |
dc.identifier.other | vt_gsexam:44174 | en |
dc.identifier.uri | https://hdl.handle.net/10919/135009 | en |
dc.language.iso | en | en |
dc.publisher | Virginia Tech | en |
dc.rights | In Copyright | en |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en |
dc.subject | remote sensing | en |
dc.subject | forests | en |
dc.subject | LiDAR | en |
dc.subject | ICESat-2 | en |
dc.title | Tracking Forest Height Growth Over Time with ICESat-2 ATL08 | en |
dc.type | Thesis | en |
thesis.degree.discipline | Forestry | en |
thesis.degree.grantor | Virginia Polytechnic Institute and State University | en |
thesis.degree.level | masters | en |
thesis.degree.name | Master of Science | en |
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