Manh-Hung Le's repositories
py_courses
Collection of Python classes
smap_enkf_swat
SMAP data assimilation for hydrologic SWAT model streamflow simulation using Ensemble Kalman Filter
CIMERG
This demonstration code is for ROK-US training #3
datapoint2tif
Convert a data frame with XY information to a tif file
dataviz
A book covering the fundamentals of data visualization
py_materials
Repository containing all the Python materials
delineator
Fast, accurate watershed delineation using hybrid vector- and raster-based methods and data from MERIT-Hydro
earthengine-community
Tutorials and content created by Earth Engine users, for Earth Engine users
etamod16a2
processing ETa from MOD16A2 (8 day to monthly)
geemap
A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets.
geeup
Simple CLI for Google Earth Engine Uploads
getSpatialData
An R package 📦 making it easy to query, preview, download and preprocess multiple kinds of spatial data 🛰 via R. All beta.
LISF
Land Information System Framework
NASAaccess
NASAaccess is R package that can generate gridded ascii tables of climate (CIMP5) and weather data (GPM, TRMM, GLDAS) needed to drive various hydrological models (e.g., SWAT, VIC, RHESSys, ..etc)
pytesmo
python Toolbox for the Evaluation of Soil Moisture Observations
python-dashboard-panel
Interactive visualization dashboard in Python with Panel
R-SWAT
This is an interactive web-based app for parallel parameter sensitivity, calibration, and uncertainty analysis with the Soil and Water Assessment Tool
r2point
Extract timeseries for specific locations from a set of raster files
r2pol
Extract time series information for an area of interest from a set of raster files
SMAP
SMAP soil moisture downscaling
smapr
An R package for acquisition and processing of NASA SMAP data
standard_precip
Python implementation for calculating the Standard Precipitation Index (SPI) and Standard Precipitation Evapotranspiration Index (SPEI)
Transform-to-Open-Science
Transformation to Open Science
tutorial
Tutorial on Bayesian tests for Machine Learning
umap
Uniform Manifold Approximation and Projection
xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow