RS Metadata Crawler for Openclaw

Openclaw Skills for RS Metadata Crawler lets you search, merge, deduplicate, and export satellite imagery metadata from major public sources without downloading imagery.

ruiduobao
v1.0.0
Aug 1, 2026
0
256
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install geoskill-rs-metadata-crawler

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install geoskill-rs-metadata-crawler using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is RS Metadata Crawler?

RS Metadata Crawler is an Openclaw Skills utility for discovering satellite imagery metadata across Copernicus Open Access Hub, USGS EarthExplorer, and Microsoft Planetary Computer. It focuses on metadata-only workflows, so you can quickly find scenes by bounding box, date range, cloud cover, and platform without pulling large raster files.

This Openclaw Skills package is designed for analysts, geospatial developers, and remote-sensing workflows that need fast filtering, source comparison, and clean exports. It supports CSV and JSON output, built-in statistics, and deduplication so teams can build reproducible imagery inventories and shortlist only the most relevant scenes.

RS Metadata Crawler Use Cases

  • Find Sentinel-2 or Landsat scenes for a geographic area and time window.
  • Filter imagery by cloud cover before deciding what to download or process.
  • Compare metadata coverage across Copernicus, USGS, and Planetary Computer.
  • Generate structured CSV or JSON inventories for downstream GIS or analytics pipelines.
  • Merge results from multiple searches and remove duplicates.
  • Produce quick statistics from saved search outputs for reporting or QA.
  • Build repeatable remote-sensing discovery workflows using Openclaw Skills.

How RS Metadata Crawler Works

  1. Define your search scope using a bounding box, start and end dates, platform name, optional cloud-cover threshold, and optional data source.
  2. Run the search command to query the selected provider(s) and collect only metadata, not imagery files.
  3. Export results in JSON or CSV, depending on whether you want machine-readable pipelines or spreadsheet-friendly analysis.
  4. Use stats on an output file to summarize the returned scenes and validate search quality.
  5. Use merge to combine multiple search outputs and deduplicate overlapping records into a single canonical dataset.
  6. Reuse cached responses with the cache directory to speed up repeated queries and reduce redundant requests.

RS Metadata Crawler Setup

  1. Ensure Python is installed in your environment.
  2. Save the script as rs-metadata-crawler.py in your working directory.
  3. Run a metadata search with the required spatial and temporal filters.
python rs-metadata-crawler.py search --bbox 116 39 117 40 --start-date 2024-01-01 --end-date 2024-12-31 --platform sentinel-2 --max-cloud 20
  1. Select a source explicitly when you want to target a specific catalog.
python rs-metadata-crawler.py search --bbox 116 39 117 40 --start-date 2024-01-01 --end-date 2024-12-31 --platform landsat-8 --source usgs
  1. Review results with the stats command.
python rs-metadata-crawler.py stats --input results.json
  1. Merge and deduplicate multiple outputs when needed.
python rs-metadata-crawler.py merge --inputs a.json b.json --output merged.json
  1. Optionally set --cache-dir to persist query caching for repeated Openclaw Skills workflows.
  2. Use --format json or --format csv plus --output to control downstream integration.

RS Metadata Crawler Data Schema & Taxonomy

The Openclaw Skills workflow organizes data around query inputs, search outputs, and merged result sets.

Area Fields / Artifacts Purpose
Search filters --bbox, --start-date, --end-date, --platform, --max-cloud, --source Defines the metadata query scope
Output file results.json or results.csv Primary search result export
Merged output merged.json Consolidated and deduplicated records
Statistics input Any JSON export from search Feeds summary reporting
Cache directory .cache or custom path via --cache-dir Stores reusable query responses

Supported metadata taxonomy includes:

  • Spatial extent: west, south, east, north bounding box
  • Temporal range: ISO date start and end
  • Platform: sentinel-1, sentinel-2, sentinel-3, sentinel-5p, landsat-5, landsat-7, landsat-8, landsat-9
  • Source: copernicus, usgs, planetary
  • Quality filter: maximum cloud cover percentage
  • Record status: raw search result, merged result, deduplicated result

The tool is explicitly metadata-only, meaning it records scene information and statistics rather than downloading image assets.

RS Metadata Crawler Advanced Features

  • Multi-source discovery across Copernicus, USGS EarthExplorer, and Microsoft Planetary Computer.
  • Deduplication-aware merging for combining multiple Openclaw Skills search outputs.
  • Built-in summary statistics for quick QA and dataset inspection.
  • Flexible export formats for automation-friendly JSON or analyst-friendly CSV.
  • Cache directory support to accelerate repeat searches.
  • Source-specific filtering to narrow searches by catalog and platform.
  • Metadata-only operation, reducing bandwidth and storage overhead.

SKILL.md


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