Overview
This website provides an open research and educational resource hosting teaching materials, documented workflows, datasets, and analysis tools for forest remote sensing and geospatial analysis. The content integrates local computing environments and cloud-computing platforms for LiDAR processing and large-scale geospatial analysis to support both research and training activities.
The objective is to promote transparent and reproducible remote sensing methodologies. Materials are organized to guide users through complete analytical pipelines, including data discovery and acquisition, preprocessing, mapping, modeling, validation, and export of final products.
Rather than a personal webpage, the site functions as a living repository of methods and training resources in which code, tutorials, and applications are maintained, documented, and expanded over time to support reproducible research and education.
Technologies
The platform combines open-source and cloud-based tools commonly used in remote sensing and forest analytics:
Learning & Resources
Workshop Exercises
Guided hands-on tutorials introducing Google Earth Engine, LiDAR processing, and reproducible workflows. Each exercise includes documented code and practical examples.
Research Workflows
Reproducible processing pipelines, scripts, and companion materials associated with research products, including biomass mapping, canopy structure analysis, and large-scale monitoring.
Tools & web-based Apps
Interactive applications, web tools, and data-processing utilities that support forest monitoring and scalable geospatial analysis.
Data Availability
Example datasets, reference tables, figures, and supporting files used across tutorials and workflows. Designed to be easy to reuse in teaching or research.
Application Domains
These materials support reproducible workflows across multiple application areas, including:
- Forest structure and canopy height time-series monitoring
- Aboveground biomass and forest carbon stock estimation
- Forest disturbance detection and recovery dynamics
- Forest health monitoring
- Biodiversity assessment and habitat conservation
