Stars
Unsupervised surface clustering on ICESat-2's ATL03
Using a model to estimate current North American Boreal canopy heights using ICESat-2 ATL08 measures, CMIP6 climatic variables, soil, and permafrost, then predicting canopy heights through 2100, br…
This repository provides guides, short how-tos, and tutorials to help users access and work with data from the Global Ecosystem Dynamics Investigation (GEDI) mission.
pyGEDI is a Python Package for NASA's Global Ecosystem Dynamics Investigation (GEDI) mission, data extraction, analysis, processing and visualization.
Global Ecosystem Dynamics Investigation (GEDI) L2A/L2B -> GeoParquet & GeoDataFrame/Xarray
Code used in my master thesis "Classification of ICESat-2 ATL03 Point Clouds in Alpine Regions"
A curated list of Google Earth Engine resources
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
Biomass modeling and mapping of forest biomass in the boreal using NASA's ICESat-2
Wall-to-Wall Above-ground Biomass Estimation with ALOS-2 PALSAR-2 L-Band SAR Data and GEDI
Discrete DBSCAN algorithm optimized for discrete and bounded data.
PCD files for tutorials, examples, or PCL-related applications
Reproduced the process of extracting ground elevation from ATL03 photon cloud data. Developed Python scripts based on the theoretical foundation of the ICESat-2 ATL08 land and vegetation height pro…