alex-saunders00's Stars
TUW-GEO/esa_cci_sm
Readers and converters for ESA CCI Soil Moisture image and time series data. Written in Python.
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.
Orion-AI-Lab/KuroSiwo
Code and data for Kuro Siwo flood mapping dataset
kleok/FLOODPY
Flood Python Toolbox
Tellman-lab/sentinel1DynamicWorldSurfaceWaterML
code for accessing and fine-tuning global model for surface water detection
geoglows/pygeoglows
A python package of tools coming from the GEOGloWS initiative
heplersa/USDMdata
Discretized US Drought Data to Support Statistical Modeling
microsoft/torchgeo
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
Clay-foundation/model
The Clay Foundation Model (in development)
kratzert/Caravan
A global community dataset for large-sample hydrology
xarray-contrib/xskillscore
Metrics for verifying forecasts
GieziJo/GeospatialTools
Collection of Notebooks and Scripts for geospatial applications
ua-datalab/Geospatial_Workshops
UArizona DataLab Workshops
Tellman-lab/MODIS_GlobalFloodDatabase
This repository contains the code used to produce the Global Flood Database and assess changes in population exposed to floods.
Tellman-lab/bangladesh-nlp-flood-research
Bangladesh NLP Flood Research
GieziJo/cvpr23-earthvision-CNN-LSTM-Inundation
nasaharvest/crop-mask
End-to-end workflow for generating high resolution cropland maps
Tellman-lab/satelliteImageAvailability
GitHub respository containing short code to create a graphic of available satellite images for a given region and time period
justinelliotmeyers/bangladesh_2022_census_gis
BenediktMester/FLODIS
FLODIS links estimates of flood-induced human displacements, fatalities, and economic damages to flooded areas observed through remote sensing.
sidgan/ETCI-2021-Competition-on-Flood-Detection
Experiments on Flood Segmentation on Sentinel-1 SAR Imagery with Cyclical Pseudo Labeling and Noisy Student Training
AIDELabAZ/weather_and_agriculture
Replication code continuing updates to Michler, J.D., Josephson, A., Kilic, T., and Murray, S. (2021). "Estimating the Impact of Weather on Agriculture." World Bank Policy Research Working Paper, No. 9867.
AIDELabAZ/risk_crop_insurance
Replication code for Michler, J.D., Viens, F.G., and Shively, G.E. "Risk, Crop Yields, and Weather Index Insurance in Village India." Journal of the Agricultural and Applied Economics Association 1 (1): 61-81.
mmann1123/pyGIS
pyGIS is an online textbook covering all the core geospatial functionality available in Python. This includes handling vector and raster data, satellite remote sensing, machine learning and deep learning applications. -- Under Development --
satellite-image-deep-learning/techniques
Techniques for deep learning with satellite & aerial imagery
gee-community/ee-palettes
A set of common color palettes for Google Earth Engine
google/earthengine-community
Tutorials and content created by Earth Engine users, for Earth Engine users
agilescientific/xlines
X lines of Python
acgeospatial/Satellite_Imagery_Python
Sample scripts and notebooks on processing satellite imagery Python Geospatial raster
acgeospatial/Geospatial_Python_CourseV1
This is an collection of blog posts turned into a course format