yuwenpang

Pinned Repositories

AtmosphericCorrectionIntroduction
This repo contains a brief introduction to atmospheric correction for remote sensing imagery using examples from drone imagery.
Language:Jupyter Notebook00
earthengine-community
Tutorials and content created by Earth Engine users, for Earth Engine users
Language:Jupyter Notebook00
Ecological-analysis-of-vegetation-patterns
This projects aims to explore vegetation community patterns with ecological analysis, including ordination and fuzzy c-mean clustering.
Language:R00
Exercise-2
Exercise 2 for the Geo-Python 2021 course
Language:Jupyter Notebook00
gdal
GDAL is an open source X/MIT licensed translator library for raster and vector geospatial data formats.
Language:C++00
geocomputing
Examples for doing spatial analysis in CSC computing environment.
Language:Jupyter Notebook1 0 00
image_drone
Machine learning for drone image classification
Language:Jupyter Notebook00
IODS-project
Template for the IODS course
Language:HTML00
Py6S
A Python interface to the 6S Radiative Transfer Model
Language:Python0 0 00
spectral
Python module for hyperspectral image processing
Language:Python1 0 00

yuwenpang's Repositories

yuwenpang/geocomputing
Examples for doing spatial analysis in CSC computing environment.
Language:Jupyter Notebook1 0 00
yuwenpang/spectral
Python module for hyperspectral image processing
Language:Python1 0 00
yuwenpang/AtmosphericCorrectionIntroduction
This repo contains a brief introduction to atmospheric correction for remote sensing imagery using examples from drone imagery.
Language:Jupyter Notebook00
yuwenpang/earthengine-community
Tutorials and content created by Earth Engine users, for Earth Engine users
Language:Jupyter Notebook00
yuwenpang/Ecological-analysis-of-vegetation-patterns
This projects aims to explore vegetation community patterns with ecological analysis, including ordination and fuzzy c-mean clustering.
Language:R00
yuwenpang/Exercise-2
Exercise 2 for the Geo-Python 2021 course
Language:Jupyter Notebook00
yuwenpang/gdal
GDAL is an open source X/MIT licensed translator library for raster and vector geospatial data formats.
Language:C++00
yuwenpang/image_drone
Machine learning for drone image classification
Language:Jupyter Notebook00
yuwenpang/IODS-project
Template for the IODS course
Language:HTML00
yuwenpang/Py6S
A Python interface to the 6S Radiative Transfer Model
Language:Python0 0 00
yuwenpang/randomForest_Spectra
the R script of implementing multivariate random forest (MRF) regression of multi-temporal spectra and peatland vegetation attributes
yuwenpang/rasterio
Rasterio reads and writes geospatial raster datasets