Alternatives and similar repositories for PyDataNYC2014:

Users that are interested in PyDataNYC2014 are comparing it to the libraries listed below

• geohackweek / tutorial_contents
  Geohackweek Tutorial Contents
  ☆71Updated 4 years ago
• PlatformStories / notebooks
  GBDX Stories notebooks.
  ☆31Updated 7 years ago
• mapbox / rio-toa
  Top Of Atmosphere (TOA) calculations for Landsat 8
  ☆39Updated 3 years ago
• ceholden / landsat_preprocess
  IPython notebook documenting a workflow for preprocessing Landsat data
  ☆52Updated 10 years ago
• earthlab / tutorials
  Tutorials for spatial data processing and analysis in R and Python
  ☆43Updated 6 years ago
• perrygeo / pyimpute
  Spatial classification and regression using Scikit-learn and Rasterio
  ☆126Updated 2 years ago
• DigitalGlobe / geoio
  Easily interact with geospatial data, particularly Digitalglobe Imagery
  ☆33Updated 4 years ago
• mapbox / rio-cloudmask
  Rasterio plugin for identifying clouds in multi-spectral satellite imagery
  ☆53Updated last year
• developmentseed / spacenet-data
  Scripts for setting up the SpaceNet dataset for training a SegNet model
  ☆43Updated 8 years ago
• mapbox / rasterio-cookbook
  [ARCHIVED] Python scripts demonstrating the usage of Rasterio
  ☆38Updated 5 years ago
• planetlabs / radiometric_normalization
  Implementation of radiometric normalization workflows
  ☆33Updated last year
• tylere / ee-jupyter-examples
  Example Jupyter Notebooks, including ones that use the Earth Engine Python API
  ☆86Updated 7 years ago
• haoliangyu / pymasker
  generate masks from Landsat and MODIS land product QA band
  ☆42Updated 7 years ago
• pysal / notebooks
  jupyter/ipython notebooks demonstrating PySAL functionality
  ☆55Updated last year
• sat-utils / sat-download
  [DEPRECATED] Used by landsat-util for downloading landsat and sentinel-2 data
  ☆36Updated 8 years ago
• olivierhagolle / Start_maja
  To process a Sentinel-2 time series with MAJA cloud detection and atmospheric correction processor
  ☆50Updated 5 years ago
• Geoyi / pixel-decoder
  A tool for running deep learning algorithms for semantic segmentation with satellite imagery
  ☆80Updated last year
• JohnNay / forecastVeg
  A Machine Learning Approach to Forecasting Remotely Sensed Vegetation Health in Python
  ☆48Updated 4 years ago
• ceholden / yatsm
  Yet Another Time Series Model
  ☆63Updated 7 years ago
• jgrss / spfeas
  Spatial feature processing of satellite imagery
  ☆30Updated 6 years ago
• shakasom / rs-python-tutorials
  Remote sensing with Python tutorials
  ☆50Updated 5 years ago
• ceos-seo / data_cube_notebooks
  Jupyter Notebook examples for our Data Cube capable algorithms and functions
  ☆56Updated last year
• jqtrde / remote
  Remote sensing datasets and sources.
  ☆65Updated 7 years ago
• Element84 / robosat-jupyter-notebook
  A step-by-step Jupyter Notebook designed to learn the Robosat machine learning pipeline
  ☆27Updated 5 years ago
• tgrippa / Opensource_OBIA_processing_chain
  An open-source semi-automated processing chain for urban OBIA classification.
  ☆76Updated 4 years ago
• samapriya / Planet-GEE-Pipeline-CLI
  Planet and Google Earth Engine Pipeline Command Line Interface Tool
  ☆42Updated last year
• dymaxionlabs / dask-rasterio
  Read and write rasters in parallel using Rasterio and Dask
  ☆99Updated 4 years ago
• carsonfarmer / python_geospatial
  Geospatial Data in Python Tutorial Materials
  ☆92Updated 10 years ago
• prs021 / fmask
  Automatically exported from code.google.com/p/fmask
  ☆46Updated 6 years ago
• repository-preservation / lcmap-pyccd
  ☆37Updated 5 years ago