Pinned Repositories
amerifluxr
An R programmatic interface for AmeriFlux data and metadata
analysis_european_tree-ring_network
In this repository, there are R scripts saved, which were used for the analysis of European tree-ring network paper, originally submitted to the Quaternary Science Reviews journal
climpact
Calculate the ET-SCI climate extremes indices
Drought-Analysis
Drought analysis with Google Earth Engine. (Compare SPEI with NDVI anomalies)
gdal
GDAL is an open source X/MIT licensed translator library for raster and vector geospatial data formats.
gee_asset_manager
Google Earth Engine Batch Asset Manager
gee_PML
Penman-Monteith-Leuning Evapotranspiration in GEE
GlobalTreeMortality
repository for code associated with Hammond et al., 2022, Nature Communications
shap
A game theoretic approach to explain the output of any machine learning model.
xrwanghku's Repositories
xrwanghku/shap
A game theoretic approach to explain the output of any machine learning model.
xrwanghku/amerifluxr
An R programmatic interface for AmeriFlux data and metadata
xrwanghku/analysis_european_tree-ring_network
In this repository, there are R scripts saved, which were used for the analysis of European tree-ring network paper, originally submitted to the Quaternary Science Reviews journal
xrwanghku/climpact
Calculate the ET-SCI climate extremes indices
xrwanghku/Drought-Analysis
Drought analysis with Google Earth Engine. (Compare SPEI with NDVI anomalies)
xrwanghku/gdal
GDAL is an open source X/MIT licensed translator library for raster and vector geospatial data formats.
xrwanghku/gee_asset_manager
Google Earth Engine Batch Asset Manager
xrwanghku/gee_PML
Penman-Monteith-Leuning Evapotranspiration in GEE
xrwanghku/GlobalTreeMortality
repository for code associated with Hammond et al., 2022, Nature Communications
xrwanghku/ingestr
Data ingest for points (given longitude, latitude, and required dates) from large global files or remote data servers and create time series at user-specified temporal resolution.
xrwanghku/Landsat-LAI
Employing a data-driven approach to generate Leaf Area Index (LAI) maps from Landsat images over CONUS
xrwanghku/metainfo_fluxnet2015
xrwanghku/modis_restservice_qc_filter_R
xrwanghku/netcdf_resample
A python script to resample netcdf files to different spatial resolutions.
xrwanghku/nn_fluxnet2015
Code accompanying paper "Quantifying soil moisture control on light use efficiency across biomes" (Stocker et al., 2018 New Phytologist).
xrwanghku/phenofit
R package: A state-of-the-art Vegetation Phenology extraction package, phenofit
xrwanghku/phenofit-scripts
phenofit examples in version 3.0
xrwanghku/python-vegindex
Python package to generate vegetation index timeseries from PhenoCam images.
xrwanghku/REddyProc
Processing data from micrometeorological Eddy-Covariance systems
xrwanghku/sciguide
现代科研指北
xrwanghku/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
xrwanghku/soilm_global
xrwanghku/SPEIbase
R code used in generating the SPEI global database.
xrwanghku/techniques
Techniques for deep learning with satellite & aerial imagery