feliuserra

feliuserra's Stars

• fitoprincipe/pygeeltr

  LandTrendr using the Python API of Google Earth Engine

  Language:Python165

• microsoft/USBuildingFootprints

  Computer generated building footprints for the United States

  2.1k264

• zzzace2000/FIDO-saliency

  Explaining Image Classifiers by Counterfactual Generation

  Language:Jupyter Notebook282

• fitoprincipe/geebap

  Best Available Pixel (BAP) composite in Google Earth Engine (GEE) using the Python API

  Language:Python8523

• kvos/CoastSat

  Global shoreline mapping tool from satellite imagery

  Language:Jupyter Notebook701253

• gee-community/qgis-earthengine-plugin

  Integrates Google Earth Engine and QGIS using Python API

  Language:Python456117

• IPL-UV/ee_ipl_uv

  Multitemporal Cloud Masking in the Google Earth Engine

  Language:Jupyter Notebook7221

• dymaxionlabs/dask-rasterio

  Read and write rasters in parallel using Rasterio and Dask

  Language:Python1008

• yannforget/pylandsat

  Search, download, and preprocess Landsat imagery 🛰️

  Language:Python6518

• erikgahner/PolData

  A dataset with political datasets

  Language:R64288

• stanfordmlgroup/ngboost

  Natural Gradient Boosting for Probabilistic Prediction

  Language:Python1.7k220

• edgeslab/CTL

  A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python

  Language:Python6213

• susanathey/causalTree

  Working repository for Causal Tree and extensions

  Language:C438152

• geohackweek/raster-2019

  contents for 2019 raster tutorial

  Language:Jupyter Notebook1919

• stevenpawley/Pyspatialml

  Machine learning modelling for spatial data

  Language:Python14529

• ozak/georasters

  GeoRasters is a Python module that provides a fast and flexible tool to work with GIS raster files.

  Language:Python19936

• mapbox/robosat

  Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds

  Language:Python2k384

• gboeing/osmnx-examples

  Gallery of OSMnx tutorials, usage examples, and feature demonstations.

  Language:Jupyter Notebook1.6k525

• rapidsai/spark-examples

  [ARCHIVED] Moved to github.com/NVIDIA/spark-xgboost-examples

  Language:Jupyter Notebook7040

• robintw/LatLongToWRS

  Python code to get a Landsat WRS-2 path and row from a latitude/longitude co-ordinate

  Language:Python367

• py-why/dowhy

  DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

  Language:Python7.2k937

• Unidata/MetPy

  MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data.

  Language:Python1.3k416

• rasterio/rasterio

  Rasterio reads and writes geospatial raster datasets

  Language:Python2.3k535

• chrieke/awesome-satellite-imagery-datasets

  🛰️ List of satellite image training datasets with annotations for computer vision and deep learning

  3.7k645

• satellite-image-deep-learning/techniques

  Techniques for deep learning with satellite & aerial imagery

  8.8k1.5k

• developmentseed/skynet-data

  [DEPRECATED] Data pipeline for machine learning with OpenStreetMap

  Language:JavaScript17032

• google/earthengine-api

  Python and JavaScript bindings for calling the Earth Engine API.

  Language:JavaScript2.7k978

• dgketchum/Landsat578

  Very simple API to download Landsat [1-5, 7, 8] data from Google

  Language:Python7029

• daniopitz/IntroToComputerVision

  Language:Jupyter Notebook109

• jamesdj/tobit

  Simple Tobit regression in python

  Language:Jupyter Notebook4338