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Constraint Analysis for Buildable Land

Quickly identify where you can build—and why

99.9% (60 hrs → 2 min)

Time Saved

2,400x ($10K → $500)

Cost Reduction

100% compliance

Accuracy

Schedule Free Consultation

Industries Served:

Real Estate

Solar

Infrastructure

Government

Environmental

Overview

Integrate all relevant spatial constraints (zoning, easements, habitat, slope, flood, etc.) with advanced geoprocessing to define 'go/no-go' areas. Automated analysis with field-ready maps and detailed acreage reports.

Visual Workflow

How It Works: Visual Breakdown

See the complete automation workflow with diagrams and code examples

Automated Workflow Diagram

Visual representation of the MCP agent workflow from trigger to delivery

System Architecture

Parallel data acquisition architecture with MCP planning agent, constraint overlay processing, and automated report generation with suitability scoring.

🏗️Component Architecture Diagram

Visual representation of system components, data flow, and integrations

⚙️Key Components

MCP Planning Agent

Analyzes project requirements and creates optimized data acquisition plan

Make.com Parallel Processing

Simultaneous API calls to 5+ data sources for 10x faster execution

PostGIS Analysis Engine

Spatial intersections, buffer analysis, and constraint overlays

GDAL Raster Processing

Elevation analysis, slope calculations, and terrain modeling

Constraint Overlay Engine

Multi-layer analysis with weighted scoring for buildability

MCP Summary Agent

Natural language summary of findings with GO/NO-GO recommendations

Diagram Legend

MCP AI Agents

Processing/Storage

Output/Visualization

Analytics/Monitoring

Visual Examples

See the solution in action with real dashboard examples and visual comparisons

🖼️Constraint Overlay Map

Multi-layer spatial analysis showing buildable vs. constrained areas

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Constraint Overlay Map

Screenshot Placeholder

Image path: /mockups/buildable-land-map.png

Key Features:

✓Project boundary outline in blue

✓Flood zones shown in translucent red

✓Wetlands shown in green hatching

✓Slope >15% shown in orange

✓Setback buffers shown in yellow

✓Buildable area calculated and highlighted in green

🖼️Suitability Report

PDF report with maps, data tables, and AI-generated summary

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Suitability Report

Screenshot Placeholder

Image path: /mockups/suitability-report.png

Key Features:

✓Executive summary with GO/NO-GO recommendation

✓Constraint summary table with acres

✓Before/after constraint maps

✓Buildable land calculation methodology

✓Regulatory compliance checklist

✓Next steps and recommendations

💡Note: The dashboard screenshots above are placeholders. Actual screenshots will be added after deploying Streamlit dashboards or capturing real application screenshots. Image paths are specified for easy integration.

🤖 Agentic Workflow

Automated MCP Agent Workflow

Workflow Trigger

How the automation starts

New project area/parcel list submitted via API or file upload

Webhook Trigger

Receives project boundary (GeoJSON/Shapefile) or CSV of parcel IDs

n8n

REST API

MCP Agent Planning

AI identifies required constraint layers based on project type and location

MCP

Azure OpenAI

LangChain

MCP Agent Prompt:

“Given this project boundary in [County, State] for [use type: residential/solar/commercial], list all spatial constraints needed for buildable land analysis including: zoning overlays, flood zones, wetlands, slope thresholds, setback requirements, environmental habitats, easements, and archaeological sites. Prioritize by regulatory impact.”

ETL Nodes

Fetch constraint layers from APIs, clip to study area, reproject to common CRS

GDAL

OGR

Python

Make.com

Geoprocessing

Spatial operations: intersect, erase, buffer for setbacks, calculate buildable acreage

PostGIS

QGIS Processing

GeoPandas

MCP Agent Summary

AI summarizes results, flags critical constraints, suggests mitigation strategies

Azure OpenAI

Microsoft Copilot

MCP Agent Prompt:

“Analyze the geoprocessing results for this parcel. Total area: 8.2 acres. Constraints: 1.5 acres wetland buffer, 0.6 acres steep slope >15%. Buildable area: 6.1 acres. Summarize findings and suggest development strategies to maximize buildable area while maintaining compliance.”

Report Generation

Generate PDF report with maps, tables, AI summary; create interactive webmap

Puppeteer

Mapbox Static API

Plotly

Delivery

Email PDF report, upload to SharePoint, send webmap link via Slack/Teams

SendGrid

Microsoft Graph API

Slack

Deliverables

What you receive automatically

Interactive webmap showing buildable vs constrained areas
PDF report with constraint summary and acreage tables
Go/No-Go recommendation with confidence score
AI-generated mitigation strategies
Excel summary with buildable acreage per parcel
Shapefile of buildable areas for field use

Key Features

Multi-jurisdictional constraint integration (25+ data sources)

Automated slope analysis from USGS 3DEP

Flood zone intersection (FEMA NFHL)

Wetland and habitat buffers (USFWS, EPA)

Zoning compliance checking

Utility proximity analysis

AI-powered mitigation recommendations

Field-ready Shapefile exports

Batch processing (1-1000 parcels)

Technology Stack

Automation

n8n

Make.com

Power Automate

GIS & Mapping

PostGIS

GDAL

QGIS

Mapbox

ArcGIS API

AI & Analysis

Azure OpenAI

Microsoft Copilot

MCP Agents

API Integrations

Google Maps Geocoding

Address to coordinates

County Assessor APIs

Parcel boundaries and ownership

FEMA NFHL API

Flood zone data

USFWS Critical Habitat

Endangered species areas

USGS Elevation API

Slope calculations

Zoning APIs

Local zoning regulations (varies by jurisdiction)

Azure OpenAI

Constraint analysis and recommendations

Mapbox Static API

Map image generation for reports

Success Story

Real-World Results

Commercial Real Estate Developer

Challenge

Evaluating 200 parcels for multi-family development. Manual analysis: 40 hrs/site × $150/hr = $6,000/site × 200 = $1.2M. 2-4 week turnaround per site.

Our Solution

Make.com workflow with 20 modules: geocode addresses, fetch 8 constraint layers via APIs, run PostGIS spatial analysis (buffers, intersects, ST_Difference), calculate buildable acreage, use Azure OpenAI to generate summaries, output PDF reports and interactive webmaps.

Results Achieved

200 parcels analyzed in 12 minutes (vs 8,000 hours manual)

Cost: $500 flat fee (vs $1.2M)

ROI: 2,400x cost reduction

100% compliance with local regulations

Identified 47 'GO' parcels with >5 buildable acres

Client proceeded to due diligence on top 10 sites immediately

Implementation Timeline

Flexible Pricing Options

Choose the plan that fits your needs

Pilot Project

Perfect for testing the solution

$5,000 (50 parcels, one county)

Test the solution with a limited scope project to validate ROI before full deployment.

Get Started

Ready to Transform Your GIS Workflows?

Schedule a free 30-minute consultation to see how Constraint Analysis for Buildable Land can deliver measurable ROI for your organization.

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Technologies We Work With

Leveraging cutting-edge technologies and industry-leading tools to deliver exceptional geospatial solutions and data analytics services.

QGIS

GIS Software

ESRI ArcGIS

GIS Platform

PostgreSQL

Database

PostGIS

Spatial Database

AWS

Cloud Platform

Google Cloud

Cloud Platform

DuckDB

Analytics Database

OpenAI

AI Platform

Claude AI

AI Assistant

CVAT

Annotation Tool

Python

Programming

React

Frontend

Node.js

Backend

Docker

Containerization

Kubernetes

Orchestration

Azure

Cloud Platform

TensorFlow

Machine Learning

Pandas

Data Analysis

NumPy

Scientific Computing

Jupyter

Data Science

Git

Version Control

Linux

Operating System

Ubuntu

Operating System

Mapbox

Mapping Platform

Leaflet

Web Mapping

Fastapi

API Framework

GeoPandas

Geospatial Analysis

GDAL

Geospatial Library