Di Yang's Projects
Python and JavaScript bindings for calling the Earth Engine API.
Google Earth Engine Datasets (hard)coded in Python for easier manipulation
Code of paper "Deep Learning Classifiers for Hyperspectral Imaging: A Review"
A conda-smithy repository for lidar.
The papers or tutorials and relative source code of artificial intelligence for meteorology, ocean and environment science.
An R package to facilitate working with NEON hyperspectral remote sensing data in R
Self-paced tutorials that review key data literacy concepts and data analysis skills. Published materials can be found at:
Utilities and scripts for working with NEON data. Currently: an R package with functions to join (stack) the month-by-site files in downloaded NEON data, to convert data to geoCSV format, and to download data from the API.
An R package to simplify working with NEON's hyperspectral imagery
this is just test
Open Manifest Library for Google Earth Engine
A note-taking toolkit for your command line.
Combining satellite imagery and machine learning to predict poverty
rFIA
rGEDI: An R Package for NASA's Global Ecosystem Dynamics Investigation (GEDI) Data Visualization and Processing.
AI for Earth Species Classification API
Official repository for Semantic Web for Earth and Environmental Terminology (SWEET) Ontologies
WhiteboxTools Frontends