aya-eo

techniques

Techniques for deep learning with satellite & aerial imagery

pylint

It's not just a linter that annoys you!

segment-geospatial

A Python package for segmenting geospatial data with the Segment Anything Model (SAM)

spacy-llm

🦙 Integrating LLMs into structured NLP pipelines

titiler

Build your own Raster dynamic map tile services

pyart

The Python-ARM Radar Toolkit. A data model driven interactive toolkit for working with weather radar data.

segment-anything-eo

Earth observation tools for Meta AI Segment Anything

earthaccess

Python Library for NASA Earthdata APIs

genai

What if GPT could help you notebook?

rio-cogeo

Cloud Optimized GeoTIFF creation and validation plugin for rasterio

OpenCL-Wrapper

OpenCL is the most powerful programming language ever created. Yet the OpenCL C++ bindings are cumbersome and the code overhead prevents many people from getting started. I created this lightweight OpenCL-Wrapper to greatly simplify OpenCL software development with C++ while keeping functionality and performance.

xgcm

python package for analyzing general circulation model output data

geowombat

GeoWombat: Utilities for geospatial data

force

Framework for Operational Radiometric Correction for Environmental monitoring

intake-esm

An intake plugin for parsing an Earth System Model (ESM) catalog and loading assets into xarray datasets.

ACT

Atmospheric data Community Toolkit - A python based toolkit for exploring and analyzing time series atmospheric datasets

geocat-comp

GeoCAT-comp provides implementations of computational functions for operating on geosciences data. Many of these functions originated in NCL and were translated into Python.

stactools

Command line utility and Python library for STAC

pyvista-xarray

xarray DataArray accessors for PyVista

xradar

A tool to work in weather radar data in xarray

cubed

Bounded-memory serverless distributed N-dimensional array processing

zarr-specs

Zarr core protocol for storage and retrieval of N-dimensional typed arrays

hdmedians

High-dimensional medians (medoid, geometric median, etc.). Fast implementations in Python.

cmr-stac

xpartition

Tool for writing large xarray datasets to zarr stores with independent processes

stac-react

React components and hooks for building STAC-API front-ends

titiler-xarray

[DEMO] TiTiler extension for xarray

tpe

Generalizing satellite image time series classifiers with thermal time

Monitoring_of_lake_dynamics

This is a program that uses multi-source remote sensing data to monitor the dynamic changes of lakes.

Crop-Classification

In this project, I built 140 models using Random Forest, Naive Bayes, KNN, Catboost, Dense, CNN and MLP classifier. I used pandas, numpy and tensorflow. The goal was to predict the classes of crop based on satellite images. This was also a kaggle competition where I won first place.