Habitat Monitoring

Turn Satellite Imagery Into High-Resolution Maps With AI-Powered Habitat Monitoring Software

Map and monitor ecosystem structure at scale using our AI-powered habitat mapping software. Our GIS habitat mapping tool applies satellite imagery analytics and machine learning to classify habitat types, detect change over time, and overlay with ecological sensor data.

Habitat Mapping & Classification

Transform Satellite Imagery into High-Resolution Habitat Maps and Detect Habitat Change Over Time

Our habitat mapping software uses machine learning models to detect and classify landscape types, including forest, wetlands, grasslands, scrub, water bodies, directly from satellite imagery. We layer in elevation, slope, and contextual habitat rules to refine classifications, delivering maps that are ready for analysis, planning, or integration with species data. Each result is validated by expert review to ensure accuracy and usability in GIS habitat mapping workflows.

Spectral + Contextual Classification

Generate habitat classes by leveraging multispectral bands, topographic layers, and land-cover rules.

Parallel Image Processing

Segment large imagery in tiles, run classification, and stitch results automatically.

Change Alerts & Reporting

Automatically flag areas that exceed threshold changes for action or compliance.

Spatial Analysis & Habitat Change Detection

Convert Habitat Maps Into Actionable Insights with Satellite Imagery Analytics

Once habitat maps are generated, our habitat monitoring software applies change detection and spatial analysis to reveal where ecosystems are shifting, degrading, or regenerating. By comparing multiple satellite imagery epochs and class maps, you can surface trends like habitat loss, fragmentation, or recovery zones. Each habitat change output carries a confidence score and links back to raw imagery and classification metadata, making results verifiable and ready for GIS habitat mapping workflows.

Multi-Date Comparison

Automatically compare habitat maps across time slices to detect subtle changes.

Change Classification & Attribution

Distinguish types of habitat change (e.g. forest to grassland, wetland shrinkage) and flag high-risk areas.

Confidence Scoring & Audit Trail

Every detected change includes uncertainty metadata and full traceability to source layers for validation.

GIS Habitat Mapping & Spatial Analytics

Seamlessly Integrate Habitat Maps into GIS Workflows for Deeper Insight

Our habitat mapping software doesn’t just create maps, it fully integrates with GIS systems and spatial analysis workflows. Export classification layers, mask overlays, and contextual datasets into standard GIS formats. Use spatial tools to combine habitat maps with elevation, hydrology, infrastructure layers, and biodiversity data. Unlock deeper insights through spatial metrics like area, connectivity, fragmentation, and adjacency, all within a workflow built for GIS habitat mapping and satellite imagery analytics.

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Layered Spatial Context

Merge habitat classification with elevation, slope, hydrology, land cover, and built infrastructure in spatial overlays.

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Spatial Metric Computation

Calculate metrics such as habitat fragmentation, connectivity, patch size, and edge density for reporting or decision support.

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GIS Export & Interoperability

Export interoperable GIS formats (GeoTIFF, shapefile, vector layers) compatible with ArcGIS, QGIS, and other habitat mapping platforms.

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How It Works

Fully Integrated Habitat Mapping Workflow in Four Steps

Our habitat mapping software turns raw satellite imagery into validated habitat maps through a streamlined, four-step process. By combining AI, spatial analytics, and expert review, we deliver high-quality habitat classification outputs ready for decision-making, reporting, and further integration.

1.

Import & Prepare Satellite Data

Import satellite imagery (e.g. multispectral, Sentinel, Landsat) alongside ancillary spatial layers (e.g. elevation, land cover). This serves as the base for mapping workflows.

2.

Generate Habitat Classifications

Using AI-driven geospatial models, we classify imagery into habitat types (e.g. forest, wetland, grassland), enhanced by spatial context from additional datasets.

3.

Expert Validation and Review

Ambiguous or uncertain areas can be flagged for expert review. This ensures final habitat maps align with field logic and ecological validity.

4.

Integrate & Export

Final habitat maps are made available to overlay with species or spatial data in your dashboard. Outputs can be used in GIS tools, supporting further analysis and decision workflows.

Sectors We Serve

Habitat Mapping Solutions Tailored For Every Industry & Sector

Every sector has distinct habitat planning, compliance, and restoration requirements. Our habitat mapping software supports organisations in infrastructure, conservation, agriculture, and government, enabling them to visualise, monitor, and manage habitat change with confidence.

Environmental & Conservation

We support NGOs, nature-based solution developers, and government agencies in designing biomonitoring strategies and analysing nature data for compliance and certification.

Industry & Infrastructure

We support mining, forestry, energy, and infrastructure sectors in assessing environmental impact, ensuring regulatory compliance, and integrating biodiversity strategies for sustainable operations.

Government & Policy

Partnering with government agencies and policymakers, we provide science-backed biodiversity data, enabling informed decision-making, conservation planning, and ESG-aligned policies.

Case Studies

Our Nature Monitoring Solutions Drive Compliance And Conservation At Scale

From tropical forests to private estates, our platform is used worldwide to deliver measurable results. Explore our case studies on the interactive map to see how organisations are turning nature data into compliance, conservation and restoration outcomes.

National EUDR compliance in Benin & Togo

EUDR compliance for 50,000 soya farms across Togo and Benin

Carbon & Biodiversity Gap Analysis for Gemstone Mining

FURA is a global gemstone mining company operating in Australia, Colombia, and Mozambique.

Biodiversity Credits and Data Validation for ERA Brazil

Camera trap videos of individually identified jaguars can support biodiversity credit projects

Scalable Camera Trap Data Analytics

Scalable AI species identification in the Republic of Congo

Biodiversity Baseline for a Scottish Estate

Scaling the use of bioacoustics, eDNA and camera traps for biodiversity monitoring in Scotland

150+

Peer-reviewed studies validating our methods and demonstrating scientific credibility.

15+

Projects delivered across Africa, Asia, Europe and the Americas with measurable outcomes.

50K+

Agricultural sites assessed for deforestation risks and sustainability reporting under EUDR.

Client Feedback

Organisations across the world use Okala to simplify biodiversity monitoring, accelerate compliance reporting, and deliver measurable ecological impact. Here’s what they say about working with us.

We greatly appreciated Okala’s ability to adapt to the specific demands of the mining industry. Their flexibility and responsiveness enabled the timely delivery of key project components. The dashboard training session was very well received by our client, and the platform itself has proven to be an effective tool for visualizing the results of camera-trap monitoring. We look forward to continuing and expanding our collaboration with Okala.

Osiris Doumbe
Consultant

This was an ambitious project where we could put AI to the test at very large scales. Okala's data platform allowed us to verify AI outputs and rapidly interact with the data using the intuitive interface.

Dr Vittoria Estienne
Conservation Scientist

Okala's expert gap analysis and guidance have greatly advanced Fura’s progress towards reaching our sustainability goals. Their professionalism and insight into biodiversity and carbon management exceeded our expectations.

Dr Donald Bray
CSO

Okala delivered cutting edge biodiversity, carbon and social baselines to understand how a 300,000 ha forestry concession in Gabon could be managed for sustainable development.

Sylvie Boldrini
ESG General Manager

The full service - from fieldwork to reporting - was excellent. We look forward to working with Okala again.

Cameron Main
Estate Manager - Galbraith

Minimising biodiversity impact is an increasing challenge for our sector. Okala provided unrivalled transparency and reporting for our early-stage industrial project in Rwanda.

Arnab Bose
Managing Director

Okala delivered high-quality biodiversity baselines in just six months using eDNA, bioacoustics and camera traps. Their work will allow us to calculate the biodiversity value of the forest to inform land-management.

Prof. Katharine Abernethy
Professor in Tropical Ecology
Frequently Asked Questions

Habitat Mapping Software  FAQs

Still have questions about how our habitat mapping software works? Explore the answers below to learn how it can support your ecological workflows from habitat mapping to satellite classification, and GIS integration.

1. What Spatial Resolution Do Your Habitat Maps Use?

Our habitat monitoring software supports using high-resolution satellite imagery (e.g. Sentinel, Landsat, commercial) and balances resolution with classification confidence to generate meaningful habitat maps for both site-scale and landscape-scale analysis.

2. How Often Can Habitat Maps Be Updated For Change Detection?

You can schedule periodic refreshes (e.g. annual, seasonal) based on new imagery availability, enabling you to monitor habitat transitions, increases, or degradation over time.

3. Which Habitat Classification Systems Or Schemas Do You Support?

We work with standard classification frameworks (such as EUNIS, UKHab) or custom habitat taxonomies you provide, aligning our classifications to your project’s schema while maintaining mapping consistency.

4. How Do You Ensure Map Accuracy And Reduce Misclassification?

Ambiguous areas are flagged during classification. These zones can be reviewed and refined manually or by domain experts. We also leverage contextual spatial layers (elevation, slope, landcover) to reduce errors and improve classification precision.

5. Can This Habitat Mapping Tool Integrate With Other Monitoring Methods?

Yes. Our habitat mapping tools are designed to integrate with other ecological sensor data. You can overlay habitat maps with species detections from camera traps, acoustic records, or eDNA layers, enabling richer analysis, cross-validation, and unified reporting across methods.

Ready to Simplify Habitat Mapping?

Book A Demo Today To See Our Environmental DNA Monitoring Platform in Action

Export maps, detect change, overlay species data all in one platform. From satellite classification to validation and export, learn how your team can speed up planning, compliance, and ecological decision-making. Book a personalised 30-minute demo to explore our habitat mapping software in your context.