GIS-ZhangZhen's Stars
2dust/v2rayN
A GUI client for Windows and Linux, support Xray core and others
Visualize-ML/Book4_Power-of-Matrix
Book_4_《矩阵力量》 | 鸢尾花书:从加减乘除到机器学习;上架!
garrettj403/SciencePlots
Matplotlib styles for scientific plotting
MuiseDestiny/zotero-gpt
GPT Meet Zotero.
GeostatsGuy/PythonNumericalDemos
Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.
SauceCat/PDPbox
python partial dependence plot toolbox
insarlab/MintPy
Miami InSAR time-series software in Python
e-sensing/sits
Satellite image time series in R
sentinel-hub/sentinel2-cloud-detector
Sentinel Hub Cloud Detector for Sentinel-2 images in Python
welch/seasonal
Robustly estimate trend and periodicity in a timeseries.
adugnag/gee_s1_ard
Creates an analysis ready sentinel-1 SAR image collection in Google Earth Engine by applying additional border noise correction, speckle filtering and radiometric terrain normalization.
intive-DataScience/tbats
BATS and TBATS forecasting methods
philippgaertner/awesome-earth-engine-apps
A collection of all public Google Earth Engine Apps.
wri/sentinel-tree-cover
Image segmentations of trees outside forest
bair-climate-initiative/multiearth
Download and access remote sensing data from any platform
venkatesannaveen/python-science-tutorial
Series of notebooks to illustrate different plotting features using Python
hectornieto/pyTSEB
A python Two Source Energy Balance model for estimation of evapotranspiration with remote sensing data
open-geocomputing/OpenEarthEngineLibrary
seanyx/RivWidthCloudPaper
A Google Earth Engine based algorithm that extracts river centerlines and widths from satellite images
Unidata/cftime
Time-handling functionality from netcdf4-python.
Geethen/geeml
yanghuikang/Landsat-LAI
Employing a data-driven approach to generate Leaf Area Index (LAI) maps from Landsat images over CONUS
nsidc/NSIDC-Data-Access-Notebook
A Jupyter notebook exploring data coverage, size, and customization service availability along with direct data download utilizing the NSIDC DAAC's access and service API.
SMByC/CCD-Plugin
The CCD-Plugin uses Google Earth Engine to get Landsat or Sentinel2 datasets and run the Continuous Change Detection (CCDC) algorithm to analyze the trends and breakpoints of change over multi-year time series at a given coordinate.
CliMA/GriddingMachine.jl
Functions to read gridded data so as to feed Clima Land model
zhangyaonju/prec_sensitivity
GERSL/DECODE
Yujie-W/python-griddingmachine
A Python wrapper for GriddingMachine.jl
zw15772/GPP_sensitivity
Gpp sensitivity to drought
prenner-eo/EMSAfricaMonitor