Geospatial Solutions
Environmental analytics

Environmental maps, monitoring, and reports built for decisions.

We help teams turn environmental data into defensible spatial evidence: ranked sites, monitoring dashboards, field-review targets, and briefing-ready maps.

Decision

Which sites, assets, or areas need action?

Evidence

What sources support the finding?

Output

What map, table, or report can the team use?

01

Discovery screenConfirm the decision, geography, audience, and minimum evidence needed.

02

Data assemblyPull public layers, client data, imagery, and field records into a usable model.

03

Spatial analysisJoin, score, compare, and QA the features that drive the decision.

04

Decision outputDeliver a map, report, dashboard, export, or pilot package with clear limitations.

Decision tracks

Use environmental data to prioritize, monitor, and explain.

The value is not another map layer. The value is a clear answer: what changed, what is exposed, what should be reviewed first, and what evidence supports the next step.

Environmental Equity Screening

Cities, nonprofits, public health, parks teams

DecisionWhere investment should be reviewed first

OutputPriority maps, ranked sites, ward summaries, and source notes

Change Detection And Monitoring

Land managers, utilities, environmental consultants

DecisionWhat changed, where it changed, and whether it needs action

OutputBefore-after maps, exception lists, and monitoring dashboards

Flood, Wetland, And Site Risk

Property teams, planners, insurers, resilience teams

DecisionWhich parcels or project areas need deeper review

OutputRisk flags, evidence tables, mitigation notes, and next checks

Field And Drone Evidence

Inspection teams, field programs, conservation crews

DecisionWhere field teams should collect, verify, or revisit data

OutputAOI maps, flight/task plans, QA layers, and export-ready data

Data trust

Show what was checked, what was found, and what still needs review.

Environmental analytics can become misleading when scores are presented without source notes or limitations. We design outputs with evidence, confidence, and human-review boundaries visible.

Evidence before scoring

Source, date, geography, method, and caveat fields stay close to each result so the map can survive a planning conversation.

Layer hierarchy that supports decisions

Priority areas, selected features, context layers, and uncertainty cues are visually separated instead of competing.

Source categories

Satellite and aerial imageryDrone orthomosaics and field photosPublic GIS and open data portalsCensus, climate, terrain, and hydrology layersField survey exports and internal asset tables

Proof routes

Start from a working demo, then adapt it to a real project.

These are not abstract service cards. They show map products, evidence panels, public data joins, and reporting patterns that can be adapted into paid pilots.

Deliverables

What an environmental analytics pilot can produce.

We can scope a small, useful output before a larger platform build: one geography, one decision workflow, and a clear delivery artifact.

Ranked evidence table

Sites, parcels, assets, or areas sorted by risk, opportunity, score drivers, and next action.

Hosted map dashboard

Layer toggles, filters, popups, selected-feature details, and stakeholder-ready context.

Briefing report

A concise PDF-style artifact with methodology, maps, charts, caveats, and recommendations.

GIS-ready exports

GeoJSON, CSV, shapefile-ready attributes, or schema guidance for agency and consultant workflows.

Project review

Bring one environmental decision. We will help shape the map, evidence, and output.

Good starting points include a list of sites, a target geography, a recurring monitoring question, a grant or reporting deadline, or a dataset your team needs to turn into a defensible map.

Implementation stack

Technologies We Work With

We choose the stack around the job: browser maps for decision surfaces, spatial databases for reliable data, Python and GIS libraries for analysis, and annotation tools when imagery needs reviewer-ready labels.

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