A5073825878- Remote Sensing and LiDAR Applications
- Forest ecology and management
- Fire effects on ecosystems
- Remote Sensing in Agriculture
- Forest Ecology and Biodiversity Studies
- Land Use and Ecosystem Services
University of Florida
2023-2025
Southern U.S. forests are essential for carbon storage and timber production but increasingly impacted by natural disturbances, highlighting the need to understand their dynamics recovery. Canopy cover is a key indicator of forest health resilience. Advances in remote sensing, such as NASA’s GEDI spaceborne LiDAR, enable more precise mapping canopy cover. Although provides accurate data, its limited spatial coverage restricts large-scale assessments. To address this, we combined with...
Airborne Laser Scanners (ALS) and Terrestrial (TLS) are two lidar systems frequently used for remote sensing forested ecosystems. The aim of this study was to compare crown metrics derived from TLS, ALS, a combination both describing the structure fuel attributes longleaf pine (Pinus palustris Mill.) dominated forest located at Eglin Air Force Base (AFB), Florida, USA. landscape characterized by an ALS TLS data collection along with field measurements within three large (1963 m2 each) plots...
Continuous monitoring and quantification of aboveground biomass (AGB) using in situ methodologies are limited by cost time. UAV-lidar has been used as an efficient tool for estimating AGB, however, up to date, no study attempted estimate total AGB (TAGB) change detection tropical savannas. This aimed TAGB stock changes the Brazilian savanna (Cerrado) data Support Vector Machine (SVM) model. We four canopy-level derived metrics from (COV, H99TH, HSKE, HKUR) modeling with R <sup...
The occurrence of hurricanes in the Southern U.S. is increasingly frequent and quantifying damage caused to forests crucial assist protection measures understanding dynamics recovery. aim this study develop a data fusion framework based on NASA's GEDI (Global Ecosystem Dynamics Investigation) Landsat 8 OLI for mapping aboveground biomass density (AGBD, Mg/ha) that can be further used severity recovery forested ecosystems impacted by Hurricane Ian Florida. We level 4A L8 calibrating Random...
Human induced forest degradation can reduce aboveground biomass (AGB) and carbon stock of fragments. Developing approaches to assess these effects in highly-degraded tropical forests is necessary, especially at large scales. In this study, we developed a framework upscale NASA's GEDI spaceborne lidar AGB products using data from imaging sensors the Brazilian Atlantic Forest – one most degraded fragmented ecosystems world. A Random model was trained footprint level as response vegetation...
Terrestrial Laser Scanning (TLS) has been used on forest inventories as an alternative to conventional in-field measurements given how effectively it can collect data. However, not enough emphasis using these sensors describe different pine forests in the South. We aimed analyze effectiveness of TLS characterizing even- and uneven-aged stands. After data collection with TLS, we developed a framework based open-source tools R for computing individual tree-level metrics (e.g. diameter at...
Lidar (light detection and ranging) has been used for mapping fuel loads in Longleaf Pine (Pinus palustris Mill.) forests ecosystems. However, there are sources of bias uncertainty associated with estimating crown-bulk density (CBD) from either Airborne Laser Scanners (ALS) Terrestrial (TLS) data. Therefore, the aim this study was to assess utility ALS TLS systems their combination (ALS+TLS) predicting CBD a longleaf pine forest ecosystem Florida. In field, tree attributes, such as height...