geospatial-data-science Goto Github PK

awesome-satellite-imagery-datasets

List of satellite imagery datasets with annotations for computer vision and deep learning

caffe

Caffe: a fast open framework for deep learning.

censusviz

cis

Home of the Community Intercomparison Suite.

cometts

Comet Time Series Toolset for working with a time-series of remote sensing imagery and user defined polygons

cuspatial

CUDA-accelerated GIS and spatiotemporal algorithms

datacube-core

Open Data Cube analyses continental scale Earth Observation data through time

densitymapping

Python tools for creating density maps of events (drunk tweets, police shootings, etc)

elm

Phase I & part of Phase II of NASA SBIR - Parallel Machine Learning on Satellite Data

gee_subset

Google Earth Engine subset script & library

gee_tools

Google Earth Engine Tools (scripts)

geemap

A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets

geospatial-machine-learning

A curated list of resources focused on Machine Learning in Geospatial Data Science.

geowombat

Geo-utilities for distributed processing of satellite imagery using Xarray and Dask arrays

hungabunga

HungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!

image-dehazing

Implementation of IEEE paper on Image dehazing using multiple scale fusion.

label-maker

Data Preparation for Satellite Machine Learning

landsat-extract-gee

Get Landsat surface reflectance time-series from google earth engine

modistsp

An "R" package for automatic download and preprocessing of MODIS Land Products Time Series

pangeo-example-notebooks

Pangeo Example Notebooks

pangeo-pyinterp

Python library for optimized interpolation.

pixel-decoder

A machine learning python package to run deep learning with satellite imagery

planet-clip-downloader

A python script for downloading clips of satellite images from Planet Labs

predicting-poverty

Combining satellite imagery and machine learning to predict poverty

predicting-poverty-replication

A Python3 and PyTorch replication of Jean et al. (2016). Original paper Github: https://github.com/nealjean/predicting-poverty

pysheds

:earth_americas: Simple and fast watershed delineation in python.

pyspatialml

Machine learning modelling for spatial data

quickmapservices_contrib

Contributed data sources for QuickMapServices

raster-vision

An open source framework for deep learning on satellite and aerial imagery.

rasterio

Rasterio reads and writes geospatial raster datasets