illegal-dumping-detection

Detects suspected illegal dumping sites from optical imagery using Bare Soil Index (BSI).

Updated Jun 2, 2026

Search Tags:#geospatial analysis #remote sensing #environmental monitoring #illegal dumping #BSI

Ready to run

npx skills add https://github.com/bettercallfan/deerflow --skill illegal-dumping-detection

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: illegal-dumping-detection
Source: https://github.com/bettercallfan/deerflow/tree/main/skills/custom/remote_sensing_image/illegal-dumping-detection
Command: npx skills add https://github.com/bettercallfan/deerflow --skill illegal-dumping-detection

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires rasterio, numpy, scipy, geopandas, json, logging, argparse, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill identifies suspected illegal dumping sites from high-resolution optical imagery using the Bare Soil Index (BSI).

Core Features & Use Cases

Illegal Dumping Detection: Automatically identify areas with suspicious bare soil or construction waste.
Priority Ranking: Generate a list of suspect sites with priority levels for enforcement.
Use Case: For urban planning and law enforcement to monitor and enforce waste disposal regulations.

Quick Start

Run the illegal-dumping-detection skill with the input image and optional area of interest.

Frequently Asked Questions about illegal-dumping-detection

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I detect illegal dumping sites using remote sensing imagery?▼

You can detect illegal dumping sites by applying the Bare Soil Index (BSI) to high-resolution optical imagery to identify and prioritize suspected waste areas. The Skill automates this process and outputs BSI maps, suspect sites, and reports for enforcement.

What is the Bare Soil Index and how does it identify construction waste?▼

The Bare Soil Index (BSI) is a remote sensing metric that highlights exposed soil and construction waste from optical imagery. It isolates bare soil spectral signatures to differentiate suspected illegal dumping sites from vegetated or urban backgrounds.

Can I use geospatial analysis to generate priority rankings for environmental monitoring?▼

Yes, geospatial analysis of high-resolution imagery using BSI generates a prioritized list of suspected illegal dumping sites. The output includes priority levels to help urban planning and law enforcement target environmental monitoring efforts effectively.

Do I need rasterio and geopandas to process BSI maps for illegal dumping?▼

Yes, rasterio and geopandas are required dependencies to process geospatial imagery and area of interest files for BSI calculation. The workflow uses numpy and scipy to compute the index and output suspect site geometries.

What's the best way to automate environmental monitoring for illegal dumping?▼

The best way to automate illegal dumping detection is running a BSI workflow on high-resolution optical imagery with an optional area of interest. This process outputs BSI maps and prioritized suspect site reports for environmental monitoring without manual inspection.

What are the limitations of using BSI for illegal dumping detection?▼

BSI detects bare soil and construction waste but may misclassify natural bare terrain or lawful construction sites as illegal dumping. High-resolution optical imagery is required, and results should be verified before enforcement action.