A5082512175- Remote Sensing in Agriculture
- Remote Sensing and LiDAR Applications
- Forest ecology and management
- 3D Surveying and Cultural Heritage
- Wood and Agarwood Research
- Remote-Sensing Image Classification
- Advanced Chemical Sensor Technologies
- Robotics and Sensor-Based Localization
- Augmented Reality Applications
- Infrastructure Maintenance and Monitoring
- Fire effects on ecosystems
- Industrial Vision Systems and Defect Detection
- Tunneling and Rock Mechanics
University of California, Santa Barbara
2021-2025
The University of Texas at Austin
2018-2019
Abstract We stand at the threshold of a transformative era in Earth observation, marked by space‐borne visible‐to‐shortwave infrared (VSWIR) imaging spectrometers that promise consistent global observations ecosystem function, phenology, and inter‐ intra‐annual change. However, full value repeat spectroscopy, information embedded within different temporal scales, reliability existing algorithms across diverse types vegetation phenophases have remained elusive due to absence suitable...
Riparian woodlands in drylands are critically important to human society, global biodiversity, and regional water energy budgets. These sensitive ecosystems have experienced substantial degradation over the last several decades from climatic change direct activity. Nevertheless, quantifying long-term dryland riparian remains a major challenge, much uncertainty exists their remaining extent, historical breadth, likely future trajectories. Dryland landscapes show large, fine-scale spatial...
Traditional acquisition methods for generating digital surface models (DSMs) of infrastructure are either low resolution and slow (total station-based methods) or expensive (LiDAR). By contrast, photogrammetric have recently received attention due to their ability generate dense 3D quickly cost. However, existing frameworks often utilize many manually measured control points, require a permanent RTK/PPK reference station, yield reconstruction accuracy too poor be useful in applications. In...
One of the main difficulties in teleoperated systems is providing an operator with sufficient Situational Awareness (SA). This paper introduces three open-source packages that improve operator's SA using Robot Operating System (ROS). The first package-rviz_textured_sphere-allows rendering panospheric camera outputs as spherical images ROS visualization software RViz. A system where this data virtual reality (OSVR) headset framework achieved second package: rviz_plugin_osvr. Finally, third...
The NIST DSE Plant Identification challenge is a new periodic competition focused on improving and generalizing remote sensing processing methods for forest landscapes. To compete in the competition, I created pipeline to perform three tasks. First, NDVI- height-thresholded watershed segmentation was performed identify individual tree crowns using LIDAR height measurements. Second, data segmented aligned with ground measurements by choosing set of pairings which minimized error position...
The National Institute of Standards and Technology data science evaluation plant identification challenge is a new periodic competition focused on improving generalizing remote sensing processing methods for forest landscapes. I created pipeline to perform three tasks. First, marker-controlled watershed segmentation thresholded by vegetation index height was performed identify individual tree crowns within the canopy model. Second, segmented aligned with ground measurements choosing set...
The NIST DSE Plant Identification challenge is a new periodic competition focused on improving and generalizing remote sensing processing methods for forest landscapes. To compete in the competition, I created pipeline to perform three tasks. First, NDVI- height-thresholded watershed segmentation was performed identify individual tree crowns using LIDAR height measurements. Second, data segmented aligned with ground measurements by choosing set of pairings which minimized error position...