Pinned Repositories
3-Dimensional-LMA-canopy-level
PLSR coefficients to estimate canopy LMA from NEOP AOP imagery
Carbon.Tree
Simulate Canopy Photosynthesis
data
**政治和社会事件时间线数据仓库 Database for the timeline of political and societal events in China
earthengine-py-notebooks
A collection of 300+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping
fates-release
This read-only public repository holds release versions of the FATES model.
FLiES_Python
Rewrite FLiES model in python
hypRspec
hyperspectral processing tools
LULCC-Fire
Code for Seminar Project--LULCC-Fire (WRF/FORE-SCE)
qgis-earthengine-examples
A collection of 290+ Python examples for using Google Earth Engine in QGIS
SCOPE
SCOPE is a simulation model for radiative transfer, photosynthesis and energy fluxes in vegetation and soil.
McHailey's Repositories
McHailey/3-Dimensional-LMA-canopy-level
PLSR coefficients to estimate canopy LMA from NEOP AOP imagery
McHailey/hypRspec
hyperspectral processing tools
McHailey/LULCC-Fire
Code for Seminar Project--LULCC-Fire (WRF/FORE-SCE)
McHailey/qgis-earthengine-examples
A collection of 290+ Python examples for using Google Earth Engine in QGIS
McHailey/SCOPE
SCOPE is a simulation model for radiative transfer, photosynthesis and energy fluxes in vegetation and soil.
McHailey/Carbon.Tree
Simulate Canopy Photosynthesis
McHailey/data
**政治和社会事件时间线数据仓库 Database for the timeline of political and societal events in China
McHailey/earthengine-py-notebooks
A collection of 300+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping
McHailey/fates-release
This read-only public repository holds release versions of the FATES model.
McHailey/FLiES_Python
Rewrite FLiES model in python
McHailey/Hyperspectral-Image-Super-Resolution-Benchmark
A list of hyperspectral image super-solution resources collected by Junjun Jiang
McHailey/HyTools-sandbox
McHailey/MangroveConservation
McHailey/NEON-AOP-H5toENVI
ENVI Extension for reading AOP HDF5 formatted files.
McHailey/NEON-Data-Skills
Self-paced tutorials that review key data literacy concepts and data analysis skills. Published materials can be found at:
McHailey/PDAL
PDAL is Point Data Abstraction Library. GDAL for point cloud data.
McHailey/plasio
Drag-n-drop In-browser LAS/LAZ point cloud viewer. http://plas.io
McHailey/python
PDAL's Python Support