ritviksahajpal
Dr. Ritvik Sahajpal is Associate Research Professor, Department of Geographical Sciences at University of Maryland, crop condition co-lead at NASA Harvest
University of Maryland
Pinned Repositories
agate
A Python data analysis library that is optimized for humans instead of machines.
agera5tools
Tools for manipulating (exporting, extracting) AgERA5 data
CropRotations
EPIC
Framework to create EPIC input files, run the model and extract outputs
geeet
Evapotranspiration (ET) models for use in python and with integration into Google Earth Engine
geoprepare
A Python package to prepare (download, extract, process input data) for GEOCIF and related models
GlobalCropRotations
GrasslandLoss_WimberlyPNAS2013
Grassland Loss
pygeoutil
yield_forecasting
ritviksahajpal's Repositories
ritviksahajpal/EPIC
Framework to create EPIC input files, run the model and extract outputs
ritviksahajpal/GPM-district-precipitation
Precipitation timeseries for in districts in Uganda extracted from NASA GPM satalite data
ritviksahajpal/MetSim
Meteorology Simulator
ritviksahajpal/PredExpl
Some notebooks & stuff about prediction explanations
ritviksahajpal/cereals-network-shocks
Code for Marchand et al. "Reserves and trade jointly determine exposure to food supply shocks"
ritviksahajpal/contiguous_SIF
this contains the code for generating the CSIF dataset and the NN parameters
ritviksahajpal/cpdetect
Change Point detection
ritviksahajpal/crop_yield_prediction
Crop Yield Prediction with Deep Learning
ritviksahajpal/CSI
Caloric Suitability Index
ritviksahajpal/data-science-portfolio
Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.
ritviksahajpal/Diversity_yield
The impact of agricultural diversification on U.S. crop production
ritviksahajpal/ecmwf_models
Python package for downloading ECMWF reanalysis data and converting it into a time series format.
ritviksahajpal/elm
Phase I & II of NASA SBIR - Parallel Machine Learning on Satellite Data
ritviksahajpal/eo-learn
Earth observation processing framework for machine learning in Python
ritviksahajpal/EU-Agricultural-Systems-Database
Spatial database of indicators relevant for EU agriculture and the Sustainable Development Goals. Data assembled from Eurostat and other sources. See documentation for details.
ritviksahajpal/eve-demo
A fully functional REST Web API. Powered by Eve.
ritviksahajpal/ExcelNumericalDemos
A set of numerical demonstrations in Excel to assist with teaching / learning concepts in statistics and geostatistics.
ritviksahajpal/GARD
Generalized Analog Regression Downscaling (GARD) code
ritviksahajpal/gee_subset
Google Earth Engine subset script & library
ritviksahajpal/ggcmi
GGCMI codes
ritviksahajpal/introspective
ritviksahajpal/math-as-code
a cheat-sheet for mathematical notation in code form
ritviksahajpal/opt_leaf_lifespan
ritviksahajpal/poets
Python Open Earth Observation Tools
ritviksahajpal/psims
ritviksahajpal/PyCrop
Python implementation of a simple modular 1D crop model.
ritviksahajpal/RastersRevealedTalk
Slides and resources for talk given at Rasters Revealed, 21st Feb 2017
ritviksahajpal/SimMod
Python Simple Climate Model
ritviksahajpal/standard_precip
Python implementation for calculating the Standard Precipitation Index (SPI) and Standard Precipitation Evapotranspiration Index (SPEI)
ritviksahajpal/treeinterpreter