Riverkeeper Community Monitoring App

Python | Streamlit | GeoJSON | Environmental Tech

Overview

  • Inspired by UN SDG 6 public data gathering efforts, this tool bridges the gap between organizational reporting standards and end-user field convenience. Built as a lightweight Streamlit web application, it streamlines batch photo uploads and field observations for environmental monitoring.

  • By decoupling end-user data collection from rigid database schemas, it allows volunteers to quickly process media while generating standardized, schema-compliant outputs.

Core Features

  • Metadata

    Extracts EXIF GPS coordinates (latitude, longitude, altitude) and exact timestamps directly from uploaded photos.

  • Geospatial

    Uses pygeomag to calculate magnetic declination and true camera direction.

  • Media

    Handles multiple image formats (JPG, PNG, TIFF, DNG) with automatic orientation fixes and DNG raw processing.

  • Inputs

    Provides structured forms for Algal Bloom, Invasive Species coverage, Ice On/Off conditions, and environmental factors.

  • Outputs

    Generates human-readable JSON preview data alongside standard GeoJSON FeatureCollections for direct integration into Esri feature layers or database endpoints.

Tech Stack & Tools

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