Pinned Repositories
agvis.github.io
ArcGIS-Pro-101
An introductory ArcGIS Pro workshop from the Stanford Geospatial Center
awash
America's Water AWASH Model
brunch
brunch
Calculate-Precipitation-based-Agricultural-Drought-Indices-with-Python
Precipitation-based indices are generally considered as the simplest indices because they are calculated solely based on long-term rainfall records that are often available. The mostly used precipitation-based indices consist of Decile Index (DI) Hutchinson Drought Severity Index (HDSI) Percen of Normal Index (PNI) Z-Score Index (ZSI) China-Z Index (CZI) Modified China-Z Index (MCZI) Rainfall Anomaly Index (RAI) Effective Drought Index (EDI) Standardized Precipitation Index (SPI).
climate-analysis
Climate Analysis project using ClimRR data
CWatM
CWATM represents one of the new key elements of IIASA’s Water program to assess water supply, water demand and environmental needs at global and regional level.
DAS_Tests
Repository to share preliminary data assimilation jupyter notebooks and tests
Data-Analysis
Data Science Using Python
FUSE
ajainf's Repositories
ajainf/CWatM
CWATM represents one of the new key elements of IIASA’s Water program to assess water supply, water demand and environmental needs at global and regional level.
ajainf/FUSE
ajainf/agvis.github.io
ajainf/ArcGIS-Pro-101
An introductory ArcGIS Pro workshop from the Stanford Geospatial Center
ajainf/awash
America's Water AWASH Model
ajainf/Calculate-Precipitation-based-Agricultural-Drought-Indices-with-Python
Precipitation-based indices are generally considered as the simplest indices because they are calculated solely based on long-term rainfall records that are often available. The mostly used precipitation-based indices consist of Decile Index (DI) Hutchinson Drought Severity Index (HDSI) Percen of Normal Index (PNI) Z-Score Index (ZSI) China-Z Index (CZI) Modified China-Z Index (MCZI) Rainfall Anomaly Index (RAI) Effective Drought Index (EDI) Standardized Precipitation Index (SPI).
ajainf/climate-analysis
Climate Analysis project using ClimRR data
ajainf/DAS_Tests
Repository to share preliminary data assimilation jupyter notebooks and tests
ajainf/Data-Analysis
Data Science Using Python
ajainf/datameet-pune.github.io
Common repo and documentation space for DataMeet Pune chapter
ajainf/earthengine-api
Python and JavaScript bindings for calling the Earth Engine API.
ajainf/ec20_hamman_etal
ajainf/epanetReader
Read text files in Epanet's .inp and .rpt formats into R
ajainf/fwdet
Calculate floodwater depth based on an inundation polygon (e.g. from remote sensing) and a DEM. See: http://csdms.colorado.edu/wiki/Model:FwDET
ajainf/General_Info
ajainf/hello-world
Tutorial for using GitHub
ajainf/justice40-tool
A tool to identify disadvantaged communities due to environmental, socioeconomic and health burdens
ajainf/Machine-Learning-of-Dynamical-Systems-using-Recurrent-Neural-Networks
This project deals with learning to reproduce the input-output behavior of state-space models using recurrent neural networks and the Keras machine learning toolbox.
ajainf/NiraRiverSaratiTests
Testing File Sharing
ajainf/notebooks
interactive notebooks from Planet Engineering
ajainf/notebooks-1
A collection of Jupyter notebooks demonstrating ways to analyze Census data
ajainf/OkavangoDelta_flooding
Creating annual inundation maps for the Okavango Delta using Landsat imagery and Google Earth Engine
ajainf/openet-ssebop-beta
Earth Engine SSEBop ET Model
ajainf/pyomo-tutorial
Introduction to mathematical programming with Pyomo (Python)
ajainf/PyomoGallery
A collection of Pyomo examples
ajainf/READ-ME
First-time visitors to this site are encouraged to read the contents of this project
ajainf/Sen1Floods11
ajainf/thinkful-git-workshop
This is a repo where a bunch of awesome students learned Git / GitHub and made their first open-source contribution :)
ajainf/tutorial
Connecting PyCharm with Github
ajainf/WonderDam
WonderDam is a combination of Wonderland model and Hedging reservoir operation model.