A5026745688- Remote Sensing and LiDAR Applications
- Forest ecology and management
- Forest Ecology and Biodiversity Studies
- Remote Sensing in Agriculture
- Coastal wetland ecosystem dynamics
- Plant Water Relations and Carbon Dynamics
- Fire effects on ecosystems
- Conservation, Biodiversity, and Resource Management
- Land Use and Ecosystem Services
- Oil Palm Production and Sustainability
- Coral and Marine Ecosystems Studies
- Flood Risk Assessment and Management
- Hydrology and Watershed Management Studies
- Coastal and Marine Management
- Wildlife Ecology and Conservation
- Wildlife-Road Interactions and Conservation
- Forest Management and Policy
- Aeolian processes and effects
- Agricultural and Environmental Management
- Urban Heat Island Mitigation
- Rangeland and Wildlife Management
- 3D Surveying and Cultural Heritage
- Urban Green Space and Health
- Remote Sensing and Land Use
- Aquatic life and conservation
University of California, Berkeley
2020-2025
American University of Sharjah
2024-2025
National University of Malaysia
2025
Qatar University
2023-2024
Rwanda Development Board
2024
Grantmakers for Effective Organizations
2024
Lawrence Berkeley National Laboratory
2022
Hewlett-Packard (India)
2020
North Carolina State University
2016-2019
Universitat de Lleida
2019
Advances in Unmanned Aerial Vehicle (UAV) technology and data processing capabilities have made it feasible to obtain high-resolution imagery three dimensional (3D) which can be used for forest monitoring assessing tree attributes. This study evaluates the applicability of low consumer grade cameras attached UAVs structure-from-motion (SfM) algorithm automatic individual detection (ITD) using a local-maxima based on UAV-derived Canopy Height Models (CHMs). was conducted private at Cache...
Accurate forest parameters are essential for inventory. Traditionally, such as diameter at breast height (DBH) and total measured in the field by level gauges hypsometers. However, inventories usually based on sample plots, which, despite providing valuable necessary information, laborious, expensive, spatially limited. Most of work developed remote measurement DBH has used terrestrial laser scanning (TLS), which high density point clouds, being an advantage accurate TLS still a spatial...
Replanting trees helps with avoiding desertification, reducing the chances of soil erosion and flooding, minimizing risks zoonotic disease outbreaks, providing ecosystem services livelihood to indigenous people, in addition sequestering carbon dioxide for mitigating climate change. Consequently, it is important explore new methods technologies that are aiming upscale fast-track afforestation reforestation (A/R) endeavors, given many current tree planting strategies not cost effective over...
Abstract In forest ecosystems, many functional processes are governed by local canopy gap dynamics, caused either natural or anthropogenic factors. Quantifying the size and spatial distribution of gaps enables an improved understanding predictive modelling multiple environmental phenomena. For instance knowledge dynamics can help us elucidate time‐integrated effects tree mortality, regrowth succession rates, carbon flux patterns, species heterogeneity three‐dimensional spacing within...
Individual tree crown (ITC) segmentation is an approach to isolate individual from the background vegetation and delineate precisely boundaries for forest management inventory purposes. ITC detection delineation have been commonly generated canopy height model (CHM) derived light ranging (LiDAR) data. Existing methods, however, are limited in their efficiency characterizing closed canopies, especially tropical forests, due overlapping structure irregular shape of crowns. Furthermore,...
Abstract Applications of unmanned aerial vehicles (UAVs) have proliferated in the last decade due to technological advancements on various fronts such as structure-from-motion (SfM), machine learning, and robotics. An important preliminary step with regard forest inventory management is individual tree detection (ITD), which required calculate attributes stem volume, uniformity, biomass estimation. However, users may find adopting UAVs algorithms for their specific projects challenging...
Abstract Individual tree detection (ITD) and crown delineation are two of the most relevant methods for extracting detailed reliable forest information from LiDAR (Light Detection Ranging) datasets. However, advanced computational skills specialized knowledge have been normally required to extract LiDAR. The development accessible tools 3D characterization can facilitate rapid assessment by stakeholders lacking a remote sensing background, thus fostering practical use datasets in ecology...
Abstract Climate teleconnections (CT) remotely influence weather conditions in many regions on Earth, entailing changes primary drivers of fire activity such as vegetation biomass accumulation and moisture. We reveal significant relationships between the main global CTs burned area that vary across within continents biomes according to both synchronous lagged signals, marked regional patterns. Overall, modulate 52.9% area, Tropical North Atlantic mode being most relevant CT. Here, we...
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...
Hurricane incidents have become increasingly frequent along the coastal United States and had a negative impact on mangrove forests their ecosystem services across southeastern region. Mangroves play key role in providing protection during hurricanes by attenuating storm surges reducing erosion. However, resilience is being compromised due to climate change through sea level rises greater intensity of storms. This article examines remote sensing tools studying impacts States. Our results...
Selective logging can cause significant impacts on the residual stands, affecting biodiversity and leading to environmental changes. Proper monitoring mapping of from activities, such as stumps, felled logs, roads, skid trails, forest canopy gaps, are crucial for sustainable management operations. The purpose this study is assess indicators selective by detecting individual stumps main indicators, evaluating performance classification methods identifying gaps activities. combination...
Canopy height is a fundamental parameter for determining forest ecosystem functions such as biodiversity and above-ground biomass. Previous studies examining the underlying patterns of complex relationship between canopy its environmental climatic determinants suffered from scarcity accurate measurements at large scales. NASA’s mission, Global Ecosystem Dynamic Investigation (GEDI), has provided sampled observations vertical structure near global scale since late 2018. The availability...