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Fetchez

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Fetchez is a robust, highly modular and extensible Python framework designed to orchestrate complex geospatial data engineering workflows.

Originally developed as the core fetching engine for the CUDEM project, Fetchez has evolved into a standalone geospatial ETL platform. It seamlessly retrieves Bathymetry, Topography, Imagery, and Oceanographic data from dozens of global repositories (NOAA, USGS, Copernicus, ESA) and processes it on the fly.

Fetch and process data:

import fetchez

# Fetch Electronic Nautical Chart data from NOAA
files = fetchez.get("charts", region=[-120, -118, 33, 34], hooks=['unzip', 'filename_filter:match=.000', 'audit'])

Define reusable YAML data Bundles:

name: grav_and_bath
description: >
  Some fast bathymetry data sources.
modules:
  - module: margrav
    args:
      weight: .01
  - module: nos_hydro
    args:
      datatype: "xyz"
      weight: .35
    hooks:
      - name: unzip
      - name: set_datatype
        args:
          data_type: "nos_xyz"
  - module: charts
    args:
      weight: .15
    hooks:
      - name: unzip
      - name: filename_filter
        args:
          match: ".000"
          stage: "file"
      - name: set_datatype
        args:
          data_type: "charts_000"
# Fetch the custom bundle
files = fetchez.get("grav_and_bath", region=[-120, -118, 33, 34])