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validated, reproducible
3D measurements uncertainty-aware
Keywords:
Topology-Based Individual Tree Mapping from LiDAR Point Clouds
e Jacob K. Goldhaber Travel Grant
NSF travel grant
Xin Xu ImplicitTerrainV2: Wavelet-Guided Spatially Adaptive
Neural Terrain Representation
Xin Xu Rethinking Amortized Neural Representations for High-
Resolution Terrain Elevation Data
Xin Xu A Topology-Guided GeoAI Agentic Frame-
work for Urban Flood Screening
Xin Xu
A Probabilistic Optimization Framework for Terrestrial and UAV-Borne
Laser Scanning Forest Point Cloud Registration
Xin Xu TLNet: A Deep
Learning Framework for Tree Detection in Forest Point Clouds Using Multi-Layered Forest Structure
Xin Xu Graph-Topological Deep
Detector for Cross-Platform Forest Point Clouds
Xin Xu
Exploring Neglected Places
Enabling Conservation Crime rough Place Network Investigations
Xin Xu From Point Clouds to Forest Analyt-
ics: libTTS, a Practical Toolkit for the Geoindustry
Xin Xu
Automated registration of forest point clouds from terrestrial and drone platforms
using structural features ISPRS Journal of Photogrammetry and Remote Sensing
Xin Xu Individual tree branch
and leaf metrics extraction in dense plantation scenario through the fusion of drone and terrestrial
LiDAR Computers and Electronics in Agriculture
Xin Xu ImplicitTerrain: a Continuous Surface Model for Terrain Data
Analysis.
Xin Xu Topology-based individual
tree segmentation for automated processing of terrestrial laser scanning point clouds. International
Journal of Applied Earth Observation and Geoinformation
Xin Xu A topology-based approach to individual tree segmen-
tation from airborne LiDAR data. Geoinformatica
Xin Xu A Synthesized Field Survey Database
of Vegetation and Active-Layer Properties for the Alaskan Tundra (1972–2020). Earth System Science
Data
Xin Xu An Unsupervised Building Footprints Delineation Approach for Large-Scale LiDAR Point
Clouds
(Second Place, 11th ACM SIGSPATIAL
GIS Cup)
Xin Xu A Persistence-Based Approach for Individual Tree Map-
ping
(Best Short Paper Runner-Up)
Xin Xu libTTS: A Modular
Topological Data Analysis Pipeline for Forest Point Cloud Analysis with a Pathway to Deep Learning
Integration
Xin Xu A Deep Learning
Framework for Tree Detection in Forest Point Clouds Using Multi-Layered Forest Structure
Xin Xu A Spatial
Paern-Based Automated Tree Matching Method Using Only Tree Locations for Validating Detected
Trees
Xin Xu A Novel Generic Automated Tree Localization Method For
Dierent Types of Forest LiDAR Point Clouds
Xin Xu Stem-based registration
of drone and terrestrial LiDAR point clouds in Japanese plantation forests
Xin Xu Estimating Rainfall
Interception by Individual Canopy Structure Analysis with Fusion LiDAR data in Plantation Forest
Xin Xu An Novel Terrain Detection Method For Automated Pro-
cessing of Laser Scanning Point Clouds
Xin Xu Individual Tree Extraction from Terrestrial Lidar Point
Clouds Based on Topological Tools
Xin Xu Individual Tree Mapping from LiDAR point clouds based
on topological tools
Xin Xu Individual Tree Mapping from LiDAR point clouds based
on topological tools
Xin Xu Individual Tree Mapping from LiDAR point clouds based
on topological tools
Topology-based Tree Segmentation (TTS). UMD, College Park.
• topology-based tree segmentation (TTS) methods
• adaptable to diverse forest datasets
user-friendly
• C++ and Python open-source
release
Unsupervised Building Footprints Delineation. UMD, College Park.
• unsupervised approa
• simplies the delineation process superior
mapping accuracy
• second place
ImplicitTerrain: a Continuous Surface Model for Terrain Topological Analysis UMD
• ImplicitTerrain implicit neural representations (INRs)
• topological and topographical fea-
ture extraction
•
CVPR project webpage
Deep Learning-Based Supraglacial Lake Detection. UMD, College Park.
• supervised deep learning approa
Optimal EV Charging Station Network Deployment. UMD, College Park.
• optimization model
• trac patterns, key destinations, elec-
tric grid capacity, socio-economic data
• Gurobi
Geo-Spark for 3D Urban Air Pollution Modeling. UMD, College Park.
• distributed computing framework Apae Spark
• large-scale air pollution simulations
Interactive GIS Map Comparison. UMD, College Park.
• intuitive web application
eortless side-by-side comparison
Survey Helper: a Geospatial Data Collection App. UMD, College Park.
•
Custom form creation Google Maps integration CSV data
export
Touless Gesture Control for Interactive Maps. UMD, College Park.
• touless interactive system
Instructor
Mapping 3D forest structures using Lidar Remote Sensing
Forest point cloud data processing
Programming:
Data/AI and Geospatial:
Computing and Databases:
