Fast Track

Angel Adhikari

Remote Sensing · 3D GIS · Digital Twins · Environmental Modeling

Remote sensing and geospatial scientist working across environmental measurement, 3D spatial modeling, urban digital twins, and reproducible geospatial data science.

Email me ↗LinkedIn ↗
01

Experience

Feb 2025 — Present

City Research Scientist III / GIS Lead Specialist

New York City Department of Finance · New York, NY

  • Lead applied geospatial R&D integrating LiDAR, imagery, GIS, and heterogeneous spatial datasets.
  • Develop Python automation, data integration, QA/QC, validation, and visualization workflows for large-scale spatial analysis.
  • Direct a multidisciplinary geospatial R&D team and provide technical oversight of external partners including Esri and LiRO.
  • Design scalable workflows for 3D mapping, model validation, spatial analytics, and operational decision support.
Jun 2024 — Feb 2025

City Research Scientist II

New York City Department of Finance · New York, NY

  • Developed automated 2D-to-3D workflows that extract spatial information from scanned floorplans and generate unit-level 3D models.
  • Integrated remote sensing and geospatial data into urban analytics and property-mapping workflows.
Feb 2024 — Jun 2024

Postdoctoral Research Associate

Precision Forestry Lab, University of Georgia · Athens, GA

  • Integrated terrestrial, UAV, and aerial remote sensing data for predictive modeling of vegetation structure.
  • Developed statistical and machine-learning models in R and Python and mentored graduate students in LiDAR processing and spatial modeling.
Jan 2021 — Dec 2023

Graduate Research Assistant

Plantation Management Research Cooperative, University of Georgia · Athens, GA

  • Developed LiDAR-based methods to quantify forest structure and understory biomass in managed southeastern U.S. forests.
  • Processed terrestrial, UAV, and aerial LiDAR alongside RGB, multispectral, thermal, GNSS/RTK, and field measurements.
2017 — Dec 2020

Research Assistant

The University of Tokyo & International Research Collaborations · Tokyo, Japan

  • Conducted remote sensing and geospatial analysis using satellite imagery, photogrammetry, object-based classification, and field datasets.
  • Contributed to research on vegetation, environmental change, forest inventory, disaster resilience, and socio-biophysical systems in Nepal.
2013 — 2017

GIS Analyst / Research Team Member / Field Supervisor

Research projects in Nepal and Japan · Nepal & Japan

  • Performed high-resolution satellite image classification, geospatial mapping, forest inventory, and carbon-stock assessment.
  • Led field data collection and supervised multidisciplinary research teams.
02

Education

2021 — 2023

Ph.D., Forestry and Natural Resources

Remote Sensing / Precision Forestry · University of Georgia

Athens, Georgia, USA
2018 — 2020

M.S., Global Forest Environmental Science

Remote Sensing · The University of Tokyo

Tokyo, Japan
2009 — 2013

B.Sc., Forestry

GIS Concentration · Tribhuvan University, Institute of Forestry

Pokhara, Nepal
03

Selected Publications

2023

Assessment of understory vegetation in a plantation forest of the southeastern United States using terrestrial laser scanning

Ecological Informatics 77, 102254

DOI ↗
2023

A comparison of modeling methods for predicting forest attributes using lidar metrics

Remote Sensing 15, 1284

DOI ↗
2019

Green makes a bold comeback! Inventory results of 101 natural forests in the Middle Hills of Nepal over two decades

Journal of Forest and Livelihood 18(1)

2019

Do remittances alleviate negative impacts of disaster on mental health? A case of the 2015 Nepal earthquake

Social Science & Medicine 238, 112460

DOI ↗
04

Highlights

MEXT ScholarshipGovernment of Japan · three-time recipient
Outstanding Presentation AwardSOMENS & NEMO Conference · 2023
Third Place PosterInternational Conference on Integrative Precision Agriculture · 2023
Applied 3D GIS presentationsIAAO, NYS Assessors, NYC Open Data Week & NYC Tech Forum · 2025