GEDI L3 and L4 Tutorials
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Updated
Feb 29, 2024 - Jupyter Notebook
GEDI L3 and L4 Tutorials
pyGEDI is a Python Package for NASA's Global Ecosystem Dynamics Investigation (GEDI) mission, data extraction, analysis, processing and visualization.
This repository provides the code used to create the results presented in "Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles".
This repository contains the code used in the paper: A high-resolution canopy height model of the Earth. Here, we developed a model to estimate canopy top height anywhere on Earth. The model estimates canopy top height for every Sentinel-2 image pixel and was trained using sparse GEDI LIDAR data as a reference.
SlideRule Earth Example Noteboks: On-demand, cloud-based processing of satellite mission data (NASA ICESat-2, GEDI, ArcticDEM/REMA, HLS)
a python code completion plugin for gedit3+
Python tools to process spaceborne lidar (GEDI and ICESAT2) for land (pySL4Land) applications
A Julia package for working with ICESat-2 & GEDI data as part of my PhD research
CounterGeDi is a pipeline that aims at controlling the counter speech generated to make it emotional, polite and detoxified. Paper accepted at IJCAI 2022.
Python package for analyzing NASA GEDI data. GEDI is a LiDAR dataset that is acquired using the International Space Station.
Global Ecosystem Dynamics Investigation (GEDI) L2A/L2B -> GeoParquet & GeoDataFrame/Xarray
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