Frequently Asked Questions

iLoveNatura is 3Bee's platform for analysing, monitoring, and regenerating Nature, Climate, and Biodiversity. It brings together more than fifteen tools — climate risk analyses, satellite map generators, AI species recognition, carbon stock calculators, and ESG reporting — in one environment built for companies, consultants, public bodies, and researchers who need reliable environmental data and report-ready outputs for sustainability disclosures.

iLoveNatura is free to try: every new account receives 10 complimentary credits to test the paid tools. After the trial you can buy pay-per-use credit packs or activate a monthly subscription, starting at a few euros per month. Some tools — such as WebGIS or the Leaderboard — are fully free. You can find up-to-date pricing and per-tool credit costs in the Credits section.

Your data is hosted on European infrastructure (AWS Frankfurt, eu-central-1) and processed in full compliance with the GDPR. We do not sell or share usage data, analysed areas, or uploaded content with third parties. Public satellite imagery and geospatial layers remain public; the areas you draw, the reports you generate, and the files you upload remain private and accessible only to your account and the people you explicitly invite.

Yes. The ESG Analyzer and ESG Report Generator tools are designed exactly for this: they analyse your documents, extract indicators aligned with the Corporate Sustainability Reporting Directive and the ESRS E4 standard (Biodiversity and ecosystems), and produce draft reports already structured around the required topics. Our risk, carbon stock, and protected-area tools generate outputs you can reuse directly in mandatory disclosures.

Yes. 3Bee is an Italian company headquartered in the EU and all personal data is processed under EU Regulation 2016/679. You can find our Privacy Policy and Cookie Policy at the bottom of every page. On request we provide a DPA, the list of sub-processors, and the technical and organisational documentation that business customers typically need.

All connections run over HTTPS with TLS 1.2 or higher. Passwords are stored with bcrypt hashing, APIs are authenticated through short-lived JWTs, and roles follow the principle of least privilege. The cloud infrastructure is managed on AWS with daily backups, access monitoring, and network isolation. We run periodic security audits and keep dependencies up to date following OWASP best practices.

From your Profile you can edit personal data, password, language, and notification preferences. The Credits section shows your balance, transactions, and PDF invoices, and lets you buy new packs. Business plans let you invite teammates with role-based permissions. If you need to close or export your account, contact us through the Contact form: we respond within two business days.

Climate, risk, and satellite analyses are available worldwide thanks to datasets such as Copernicus, ERA5, ESA WorldCover, and MODIS. Some tools tied to Italian and European regulation (Natura 2000 protected areas, landscape constraints, cadastral data) cover Italy and the EU in greater detail. We are progressively expanding high-resolution coverage to South America, Africa, and South-East Asia.

iLoveNatura works on the latest two major versions of Chrome, Safari, Firefox, and Edge. It runs on desktop, tablet, and smartphone, with an experience optimised for screens 1024px and wider. Tools that involve interactive maps and polygon drawing work best on desktops or large tablets; the Nature Observation AI tool for uploading photos is fully usable on a smartphone.

Yes. Business customers can export results in standard formats (GeoJSON, KML, WKT, CSV, PDF, HTML) and use authenticated REST APIs to feed data into ESG, BI, or GIS tools. We also support single sign-on and custom integrations with the leading sustainability reporting systems. To enable an integration, reach out through the Contact form and we will put you in touch with the technical team.

It is an interactive environmental monitoring platform built on Leaflet and Geoman. You can create sites by drawing polygons, view biodiversity and environmental KPIs across five dashboard tabs (Land Use, Biodiversity, Climate, Census, Risk), explore satellite-derived environmental layers, and use AI-generated commentary for contextual analysis. The platform includes both public community sites and your private monitoring sites.

Click the creation button (FAB), then follow the 4-step form: first, draw a polygon on the map to define site boundaries (maximum 100 hectares, validated automatically). Second, enter a name and description for the site. Third, provide motivation and strategy details. Fourth, review everything and submit. The system processes the site in the background — you can track progress via status polling, and KPIs appear automatically when generation completes.

KPIs are organized in five tabs. Land Use shows natural, water, agricultural, and artificial coverage from CORINE Land Cover data. Biodiversity includes MSA index with four pressure factors, protected areas, species richness, Shannon and Simpson diversity indices, nesting suitability, beekeeping feasibility, and honey production. Climate covers warming stripes, flood risk, aridity, land surface temperature, light pollution, evapotranspiration, and geographic context. Census displays detected species, camera trap and iNaturalist observations, and a 3D tree point cloud. Risk is coming soon.

The platform provides multiple environmental indicator layers rendered as vector tiles from Geoserver: MSA (Mean Species Abundance), protected areas (PA), impermeability, fragmentation (FA), nesting suitability (NS), and MSA sub-components (climate change, infrastructure, land use for animals and plants). You can switch between layers using the selector, adjust opacity with a slider, and see each site's KPI value reflected in color-coded map markers.

The AI map commentary feature generates environmental narratives for a selected site based on the currently active layer. You can open the AI panel, view existing comments, and generate new ones. An optional custom prompt lets you focus the analysis on specific aspects. Comments include the layer type, timestamp, and AI-generated text describing the environmental context.

Yes. The platform displays public community sites alongside your private sites. Public sites are loaded with infinite scrolling pagination and filtered by the current map viewport (bounding box). You can search sites by name, click any site marker on the map to view its KPIs, and explore the full site detail sidebar.

The platform offers free access to core features: browsing public sites, exploring environmental layers, viewing KPIs, and using the map. Creating your own monitoring sites requires a free account. Site creation and KPI generation are included with your account at no additional credit cost.

Yes. The platform is fully responsive. On mobile, site details, site lists, login, and site creation use bottom sheet overlays that slide up from the bottom of the screen. The map supports touch gestures for pan and zoom, and all controls adapt to smaller screens with appropriately sized touch targets.

It is a comprehensive environmental risk assessment tool with a 3-step wizard (location, risk selection, results). Enter any address and the tool evaluates 25+ risk types across 7 categories: climate (climate change, heat waves, cold waves, extreme heat, heat stress), water (drought, flood, precipitation, aridity, water stress, precipitation pattern change), geological (earthquakes, volcanic eruptions, landslides), pollution (wind, extreme storms, air quality, desertification, fire), sea (rising ocean temperature, sea level rise, coastal flooding, coastal erosion, ocean acidification), and biodiversity (biodiversity loss). Each risk is scored on a 0-4 continuous scale with five severity levels. The risk catalog is fetched dynamically from the API with localized names and descriptions.

Each risk is analyzed under three IPCC AR6 shared socioeconomic pathways: SSP1-2.6 (sustainable, low-emissions pathway), SSP2-4.5 (intermediate pathway with moderate emissions), and SSP5-8.5 (high-emissions, fossil fuel-intensive pathway). The results include a scenario comparison chart, a mini heatmap showing all scenarios and projection years in a color grid, and a timeline line chart showing how the risk level evolves over time under each scenario. You can switch between scenarios with the sidebar selector or inside each risk's detail modal.

The spider (radar) chart provides a multi-scenario risk profile overview. It plots all analyzed risks on radial axes with the 0-4 risk level as the radial scale. Each SSP scenario is drawn as a separate colored polygon (green for SSP1, yellow for SSP3, red for SSP5), so you can instantly see which risks increase most under higher emission pathways. The chart can be sorted by default order or by risk value, and expanded to a full-screen modal for detailed inspection.

Risk scoring is computed from IPCC AR6 climate projections combined with geospatial hazard data. Climate risks use Copernicus Climate Data Store reanalysis and projection datasets. Geological risks incorporate European seismic hazard maps and landslide susceptibility data. Maritime risks use Copernicus Marine Service data for sea level, ocean temperature, and coastal erosion. Each risk type includes multiple indicator variables with values and units displayed in the detail modal.

You can download individual risk cards as PNG images, or a ZIP package with all cards at once. You can also generate a complete HTML report (A4-printable) that includes a cover page with satellite overview, table of contents, location information, risk matrix summary table, spider/radar overview chart, and detailed pages for each risk type with gauge, scenario bars, variables table, timeline chart, and editable comment fields. The built-in report editor lets you customize the report before printing as PDF or exporting to DOCX.

Yes. Each completed analysis generates a share link that encodes the site coordinates, risk selection, and original site info. Recipients can view the full results — all risk heatmaps, spider chart, scenario comparisons, variable tables, and detail modals — at no credit cost. Previously computed risks for the same site are also free to re-access.

Yes. The risk assessment follows IPCC AR6 scenario methodology, which is the reference framework for TCFD physical risk disclosure and ESRS E1 climate-related requirements. Each risk includes scenario projections (SSP1/SSP3/SSP5), timeline trends with trend indicators, and quantitative scoring, providing the data needed for climate risk sections in sustainability reports. The structured HTML report with risk matrices, radar charts, and editable comments is designed for inclusion in due diligence documentation.

On signup you receive 10 free credits. Each risk type costs credits based on its unit cost multiplied by the number of scenarios analyzed. Risks that were previously computed for the same location are free to re-access (shown as locked in the selection grid). The system shows the estimated total cost before you confirm and prevents selecting risks that exceed your remaining balance. Credit packages start from 19.90 EUR.

We combine EFFIS structural risk (4-factor AHP composite), NASA VIIRS active fires, GDACS historical events from 2020 and CMIP6 climate scenarios (FWI) to provide a complete overview of fire risk for the selected area.

Yes, the tool is free for users with iLoveNatura credits. Upon registration you receive 10 credits without a credit card. The exact cost for each analysis appears on the configuration page before starting generation.

Yes. You can download a full HTML report with all KPIs, export a social card for LinkedIn/X sharing and get a shareable link to the results dashboard.

EFFIS (European Forest Fire Information System) is the European monitoring system for forest fires. It provides a composite structural risk index (0-1) based on 4 factors: fuel, topography, climate and human pressure.

The summary is generated by Claude (Anthropic) from the numeric KPIs computed on the area: risk index, aridity, natural coverage, water coverage, historical events, FWI projections. No personal data is sent to the model.

It is a tool that analyzes ESG and sustainability reports using AI. Upload a PDF (up to 100 pages, 100 MB), configure your sector and frameworks, and receive a scored assessment across Environmental, Social, and Governance pillars with gap analysis, sector benchmarking, and a prioritized improvement roadmap.

Upload your report, then configure the analysis: select your industry sector (Manufacturing, Energy, Financial Services, Technology, Agriculture, Real Estate, Healthcare, Retail, or Transport), company size (SME, Mid-cap, Large-cap), geographic market (EU, North America, Global, Asia-Pacific), and one or more reference frameworks (ESRS/CSRD, GRI, SASB, TCFD, UN SDGs, CDP). The AI processes the report in 5 steps: extracting disclosures, identifying framework alignment, scoring pillars, benchmarking against peers, and generating recommendations.

Six frameworks: ESRS/CSRD (European Sustainability Reporting Standards), GRI Standards (Global Reporting Initiative), SASB (Sustainability Accounting Standards Board), TCFD (Task Force on Climate-Related Financial Disclosures), UN SDGs (Sustainable Development Goals), and CDP (Carbon Disclosure Project). Select one or more for each analysis.

You receive an overall score (0-100) with a letter grade from A+ to F, plus breakdown by E/S/G pillar. Each pillar has sub-scores with coverage percentages showing how much of each framework's requirements are addressed. The gap analysis table lists missing disclosures by standard code with gap severity (critical, major, minor, ok). A sector benchmark dot-plot compares your sub-scores against the coverage median and P25-P75 percentile range.

The roadmap lists prioritized recommendations, each with a priority level (high, medium, low), effort estimate (low, medium, high), timeframe (short, medium, long), estimated score impact in points, related standards, and the pillar it affects. Filter by Quick Wins (low effort or short timeframe) or Strategic (long-term) to focus on the right actions.

Each analysis costs credits based on report complexity. On signup you receive 10 free credits, no credit card required. Additional packages start from 19.90 EUR.

Yes. Your analysis history is available in the sidebar with search functionality. Each entry shows the company name, overall score, grade, and analysis date. Click any entry to reload the full results including all pillar scores, gap analysis, and recommendations.

Yes. Each analysis generates a shareable link — recipients view the full results dashboard at no credit cost. You can also generate an HTML/PDF report via the built-in editor and export to DOCX format for further editing.

It is a 4-step wizard for creating sustainability reports: choose a template (ESRS/CSRD, GRI, BREEAM GN40, VIncA), fill in data with AI assistance or PDF import, review sections with live HTML preview and approval controls, and export to PDF, DOCX, or HTML with iLoveNatura branding.

Four standard families: ESRS/CSRD (European Sustainability Reporting Standards under the Corporate Sustainability Reporting Directive), GRI (Global Reporting Initiative), BREEAM GN40 (Building Research Establishment Guidance Note 40), and VIncA (Environmental Impact Assessment for Natura 2000 sites). Templates are organized in 4 categories: Construction, Environmental Assessment, Sustainability, and ESG Compliance.

Each field has an AI prompt hint tailored to the standard's requirements. Click the AI generate button on any field and the AI produces content based on the hint, the field type (text, numeric, table, list, image), and the context of your already-filled fields. You can review and edit the generated content before approving. Every field shows a source badge indicating whether content is manual, AI-generated, or imported from PDF.

Yes. Upload PDF documents up to 100 MB and 100 pages. The file is uploaded via a secure presigned URL, then AI extracts relevant data and maps it to the corresponding template fields. An import processing overlay shows extraction progress. You can review, edit, and approve any imported data before proceeding.

The review step renders a live HTML preview of the full report. You can approve each section individually using the section approval controls. A progress summary bar tracks overall completion — how many sections are approved, how many fields are filled, and how many required fields are still missing. You can navigate back to data entry to edit any section.

Reports can be exported as PDF (via the built-in report editor's print function), DOCX (one-click download from the editor), and HTML. The exported document includes an iLoveNatura-branded cover page with template metadata, a table of contents, and all report sections with professional formatting.

Yes. The system auto-saves your progress every 5 seconds after any field change. You can close the browser and resume later from the report history sidebar. Each saved report shows the template name and can be reopened directly to the export step.

Yes. Each report generates a shareable link with a unique report ID. Recipients open the link and see the fully rendered report without needing an account or spending credits. You can also open the built-in editor to print or export to DOCX before sharing.

The platform offers 80+ satellite layer types organized in 12 categories: utility (RGB true color, high-res RGB), land use (NDVI, NDWI, NDMI, soil erosion, soil carbon), risks (land surface temperature, urban heat islands), microclimate, urbanization (imperviousness, accessibility to cities), biodiversity (MSA, protected areas, tree cover, biodiversity intactness, human footprint), carbon (forest GHG flux, cumulative tree cover gain), land cover, sensors, water (plastic input in rivers, wetlands), air quality (PM2.5), and socioeconomic (GDP, GDP per capita). The full catalog with example images and descriptions is available on the layer selection page.

Three methods are available. Draw a polygon directly on the interactive Leaflet map with vertex snapping for precision. Search for any address using the geocoding bar, which flies the map to the location. Or import a KML or GeoJSON file -- the system automatically parses it, merges multiple polygon features into a single ROI, and calculates the area in hectares. Without registration, areas are limited to 20 hectares; with a free account there is no hard limit, though areas above 1,800 hectares show a processing time warning.

The process has 3 steps. First, define your area (draw, search, or import). Second, browse the filterable catalog of 80+ map types organized in 12 categories, select layers, and pick reference years (2017 to present) using the global year selector -- some layers support delta year pairs for change detection or custom date ranges. Third, the system creates a monitoring site and generates maps asynchronously via a bulk API. You see real-time progress per layer with estimated duration, and can download each GeoTIFF as soon as it completes.

Preview any map on an interactive satellite overlay with a color legend panel, KPI statistics (mean, min, max values from metadata), and a heightmap 3D viewer. Click on the map to identify pixel values. Download individual GeoTIFF files for GIS software or batch-download all maps as a ZIP. Generate a professional report with AI narratives, color-coded category pages, table of contents, statistical summary, and a customizable cover page -- exportable as HTML (A4-printable), PDF, or DOCX via the built-in report editor.

Without registration you can analyze areas up to 20 hectares. With a free account and credits, there is no enforced maximum. Areas over 1,800 hectares show a warning about longer processing times. Credit cost is proportional: per-km2 unit cost multiplied by the polygon area and number of files generated (monthly layers produce 12 files per year, weekly layers 52).

On signup you receive 10 free credits, no credit card required. Each map type has a per-km2 credit cost that varies by layer complexity. Monthly layers (12 images/year) and weekly layers (52 images/year) cost proportionally more. The category sidebar shows an estimated total credit cost before generation. PDF/HTML/DOCX report generation is always free and does not consume credits. Additional credit packages start from 19.90 EUR.

Yes. Every analysis generates a shareable link that encodes the site and polygon IDs. Recipients can view all generated maps, preview them on the interactive overlay, and download reports at no credit cost. Your recent analysis history is accessible from the sidebar with search and one-click result viewing.

Yes. Reports contain environmental KPIs derived from official Copernicus data (Sentinel-1, Sentinel-2, CLMS, ERA5) and Resource Watch datasets (WRI). AI narratives contextualize the data for sustainability disclosure. Metrics align with ESRS E4 (biodiversity and ecosystems) and the TNFD LEAP framework, making them suitable as supporting documentation for environmental due diligence and corporate sustainability reporting.

The Macro Map Generator creates large-scale climate maps for entire countries, regions, or cities. Unlike the standard Map Generator which works at site level with satellite imagery, this tool handles regional to continental scale analysis using interpolated weather station data.

It shows how temperatures have changed between the 1961-1990 reference period and the 2023-2025 average. Blue areas indicate cooling, red areas indicate warming, and white areas show no significant change. The data is interpolated from European weather station records.

Yes, you can select multiple countries, regions, or cities in a single generation. For example, you can generate a combined map for Lombardia, Piemonte, and Veneto, or even multiple countries like Italy and France together.

Each macro map generation costs 3 credits. On signup you receive 10 free credits with no credit card required. Additional credit packages are available from the Credits page starting at €19.90.

It lets you compare satellite imagery using 8 layer types (RGB, NDVI, NDWI, NDMI, LST, Night LST, Light Pollution, UTFVI). You can compare the same layer across different years (Temporal mode) or different indices for the same year (Spectral mode). Results are displayed in four interactive views: Grid with per-tile opacity sliders, Swipe with a draggable divider, Timeline animation, and Opacity blending.

There are two modes: Temporal and Spectral. In Temporal mode you fix one layer type (e.g., NDVI) and compare it across 2 to 6 different years from 2017 to the current year. In Spectral mode you fix one year and compare 2 to 6 different layer types (e.g., RGB vs. NDVI vs. LST) for the same period.

Four views are available. Grid shows all layers side by side with synchronized pan and zoom, plus individual opacity sliders for each tile. Swipe places two layers on the same map with a draggable divider. Timeline animates through years for temporal comparisons. Opacity blends two layers with an adjustable slider. Swipe and Opacity require exactly 2 layers; Timeline is only available in Temporal mode.

You can download individual map images as PNG files or all layers at once as a ZIP archive. Professional HTML reports include a cover page, table of contents, site information, comparison configuration, map gallery, methodology, and disclaimer sections. Reports open in a built-in editor for customization and can be exported to DOCX format.

Each layer type x year combination costs 0.4 credits. A Temporal comparison with 1 layer across 4 years costs 1.6 credits. A Spectral comparison with 3 indices for 1 year costs 1.2 credits. The tool shows a cost estimate before generation. On signup you receive 10 free credits. Additional packages start from 19.90 EUR.

Without registration you can compare areas up to 100 hectares. With a free account and credits, there is no enforced maximum. Credit cost is based on the number of layers and years selected, not the area size.

Yes. Each completed comparison generates a shareable link. Recipients can view the full visualization, switch between all four view modes, and explore results at no credit cost. Your analysis history is saved both locally and server-side, so you can restore any previous comparison with a single click from the sidebar.

The tool tracks generation progress in real time, showing which layers are ready. After 15 seconds, if some layers have completed, a skip-to-results button appears so you can start exploring partial results immediately. Missing layers continue generating in the background and appear automatically when ready. Some layer types (Night LST, UTFVI, NDMI, Light Pollution) are flagged as slower to set expectations.

The GIS Editor is an interactive, browser-based GIS map editor with a built-in AI assistant. It offers full layer management, drawing tools, raster upload with georeferencing, 9 geoprocessing operations, an attributes table, measurements, version history, and multi-format export — all from a full-screen satellite map interface.

The AI assistant is a real LLM (Gemini) served via the lambda-agents backend, not a keyword-matching mock. It accepts natural-language commands and questions, uses function calling to execute operations on the map, remembers the conversation context within a session, and persists the chat across page refreshes via sessionStorage.

The assistant can perform every operation available manually: draw features (marker, circle, polygon, line, rectangle), measure area and distance, change style (fill and border independently), analyze an area, get point info, export to KML/GeoJSON/CSV, rename/delete/hide layers, run geoprocessing (buffer, dissolve, centroid, simplify, transform CRS, intersection, difference, clip), create/update/delete features, and edit attribute table values.

Vector: KML, GeoJSON, Shapefile (ZIP), and GeoPackage. Raster: PNG, JPG, TIFF, and PDF, with 4-point control-point georeferencing to place the image on the map.

You can export layers and analysis results as KML, GeoJSON, and CSV. These formats are compatible with all major GIS software such as QGIS, ArcGIS, and Google Earth.

No. The chat panel is a fixed side panel anchored to the right edge of the screen — you can only open and close it from the toolbar on the left. The map automatically resizes to make room when the panel is open.

Yes, for advanced operations. Your first geoprocessing operation is free and the first 3 AI chat messages per session are free. After that, geoprocessing operations cost 0.1–0.2 credits each and AI chat messages cost 0.1 credits per message. Basic features — layer management, drawing, measurement, file upload, and export — are always included. You get 10 free credits on signup.

The interface is optimized for desktop use: the map takes the full width and the side chat panel needs screen space. On mobile the page remains usable but the experience is reduced — map pan and zoom are restricted to avoid conflicts with page scrolling. For a complete workflow we recommend a desktop or a tablet in landscape mode.

Web GIS Utils is a lightweight, browser-based GIS toolkit. It lets you upload geospatial files, apply spatial operations in a stackable pipeline, and export the processed results — all without installing any software. Processing runs entirely client-side using the Turf.js library.

You can upload GeoJSON and KML files (up to 10 MB). The tool automatically parses the geometry and displays features, area, perimeter, and vertex statistics on an interactive map. Export formats include GeoJSON, KML, and WKT (Well-Known Text).

The tool offers 9 operations: buffer (with configurable distance, units, smoothness steps, and overlapping merge), union (merge polygons into one), simplify (reduce vertices with adjustable tolerance and high-quality mode), bounding box, convex hull, centroid, dissolve by property, area calculation, and feature split (flatten multi-part geometries). Operations are stackable in a sequential pipeline.

Each operation you add becomes a step in a sequential pipeline. Steps can be reordered by drag-and-drop, and the system automatically recomputes all downstream results via cascading recomputation. You can undo/redo any change with Ctrl+Z / Ctrl+Shift+Z (up to 20 history entries), edit parameters on existing steps, and delete individual steps at any time.

Your first spatial operation each session is completely free — no credits, no account needed. After that, operations cost just 0.1–0.2 credits each (area calculation is always free). With the default 10 free credits you can run 50–100+ operations. All processing happens in your browser — no data is sent to any server.

Yes. You can download the processed geometry from any pipeline step in three formats: GeoJSON (for web and GIS applications), KML (for Google Earth), or WKT (for database imports and interoperability with PostGIS, QGIS, or ArcGIS). You can also copy the GeoJSON to clipboard with one click.

The tool runs entirely in the browser using the Turf.js library with a 10 MB file size limit. For buffer operations on complex geometries exceeding 1,000 vertices, it automatically simplifies the input to prevent browser freezing, then applies the buffer. Statistics are recalculated at every pipeline step.

Most operations (union, simplify, bbox, hull, centroid, split) cost just 0.1 credits. Buffer and dissolve cost 0.2 credits due to their parameter complexity. Area calculation is always free. Your first operation each session costs nothing — you can try the tool without any commitment. With 10 free credits (granted on signup), you can perform 50–100+ operations.

Yes. All geospatial processing runs 100% client-side in your browser using Turf.js. Your files are never uploaded to any server. This makes the tool safe for working with sensitive or proprietary spatial data.

You can upload images (JPEG, PNG), videos (MP4, MOV), and audio recordings (MP3, WAV). The maximum total size per session is 4 MB for direct upload. For larger quantities, link a public Google Drive folder -- there is no size limit for Google Drive uploads.

The AI uses deep learning models trained on millions of verified observations. Images and videos are analyzed with convolutional neural networks, while audio files are processed with specialized bioacoustic models. For each identification you receive: scientific name, common name, confidence percentage, taxonomic classification, and IUCN conservation status when available. Results are grouped in an interactive table.

When you upload files, they are grouped into a census batch. The system processes each file asynchronously and tracks progress in real time -- you can see pending, completed, and failed counts updating live. You do not need to wait for the entire batch to finish before viewing partial results.

Yes. Paste the link to a public Google Drive folder (shared as 'Anyone with the link can view') and the system will automatically analyze all media files inside. This is the recommended method for large censuses with many files, as there is no file size limit.

You can generate a professional HTML report with a built-in WYSIWYG editor that lets you edit text, adjust layout, and then print as PDF or export as DOCX. You can also download the complete species list as a CSV file with observation IDs, types, confidence scores, coordinates, and conservation status for further analysis in spreadsheets or GIS software.

Each completed analysis generates a shareable link. Recipients can view the full results -- species list, confidence scores, IUCN status, and all batch details -- at zero credit cost. Only the person who runs the analysis spends credits.

Species identified with confidence below 70% are flagged as 'To verify' in the results table with an orange confidence bar. You can contact an expert directly from the platform to review uncertain identifications, ensuring accuracy in your final census report.

Each analysis costs 1 credit. On signup you receive 10 free credits with no credit card required. You can also run analyses without an account (up to 3 free sessions). Additional credit packs start at 19.90 EUR.

It is a comprehensive biodiversity analysis tool. Enter any address and the tool searches iNaturalist observations in a 5 km radius, retrieves CLC land cover data, and delivers a species inventory, MSA index, diversity indices (Shannon, Simpson, Evenness), IUCN conservation status chart, interactive observations map, and taxa distribution breakdown — all from a single search.

When you enter an address, the tool draws a 5 km radius around the location and queries iNaturalist for all recorded species observations within that area. Results are displayed in a filterable species inventory with Flora/Fauna kingdom filter, taxa sub-filters, name search, and a paginated grid showing species images and conservation status.

The analysis combines citizen science observations from iNaturalist (species occurrences in the 5 km radius), Copernicus CORINE Land Cover (CLC) data for MSA index calculation and land use factor analysis, and the IUCN Red List for conservation status classification. The MSA factor breakdown uses CLC to assess Land Use, Climate Change, Infrastructure, and Fragmentation pressures.

MSA (Mean Species Abundance) is an index that measures how intact local biodiversity is compared to an undisturbed reference state (1.0 = pristine). The tool calculates MSA from CORINE Land Cover data, breaking it down into four pressure factors: Land Use, Climate Change, Infrastructure, and Fragmentation. Each factor is displayed with a color-coded range so you can see which pressures most affect biodiversity at your location.

The tool computes four diversity indices from the observed species: Shannon Index (measures species diversity considering both richness and evenness), Simpson Index (probability that two random individuals belong to different species), Evenness (how equally species are distributed), and Species Richness (total species count). Each index includes a segmented breakdown into native, alien, and endemic species.

Yes. Each completed analysis generates a share link you can send to colleagues. Recipients can view the full results — species inventory, indices, map, and charts — at no credit cost. This makes it easy to collaborate on site assessments and environmental reports.

You can download a comprehensive report in PDF, HTML, or DOCX format. The report includes a KPI summary with all indices, species inventory, IUCN status chart, taxa distribution donut chart, and observations map. You can also access your recent analyses from the sidebar history and revisit any previous result.

Each biodiversity analysis costs 1 credit. On signup you receive 10 free credits with no credit card required. Additional credit packages start from €19.90. Shared analysis links are free for recipients — only the person who runs the analysis spends credits.

The tool evaluates 9 parameters across 4 categories: Temperature (historical trends with anomalies and future projections under SSP2-4.5 and SSP5-8.5 scenarios), Precipitation (rainfall distribution with monthly breakdown and snowfall accumulation), Atmospheric (wind speed and direction by month, weather type classification, cloud cover percentage), and Water Balance (De Martonne aridity index and evapotranspiration with satellite-derived spatial layers).

SSP (Shared Socioeconomic Pathways) are IPCC climate projection scenarios. The tool uses SSP2-4.5, a moderate emissions pathway, and SSP5-8.5, a high-emissions fossil-fuel-intensive pathway, to project future temperature trends through 2100. Both scenario lines are displayed on the same chart so you can compare moderate and worst-case warming trajectories for your specific location.

Warming stripes are a visualization created by climatologist Ed Hawkins. They display temperature anomalies as a sequence of colored vertical bars — blue for cooler-than-average years and red for warmer-than-average years. Historical data (up to the current year) comes from ERA5 reanalysis records, while future projections follow the SSP5-8.5 scenario. The baseline is calculated from the first 20 years of historical data. You can download the stripes banner as a PNG image.

Historical climate parameters use ERA5 reanalysis data from ECMWF (0.25 degree resolution, from 1940 to present). Future temperature projections come from IPCC AR6 climate models via the Copernicus Climate Data Store. Weather classification uses OpenMeteo daily records. Spatial layers for evapotranspiration and aridity are generated from Sentinel-2 satellite imagery at 10m resolution.

When you run aridity or evapotranspiration analyses, the tool generates satellite-derived spatial layers. These appear in a map comparison section below the result cards. If both layers are available, you can compare them in grid mode (side by side with synchronized panning) or slider mode (overlaid with a draggable divider). If only one layer is available, it displays in a single map view.

On the results page you have three options: Share generates a link that lets anyone view your full analysis at zero credit cost (login required to create the share link). The Report Editor opens a built-in WYSIWYG HTML editor with cover page, location info, KPI tables, all charts, and editable comment fields per section — exportable to DOCX. You can also download individual analysis charts as PNG or data tables as CSV.

Previously computed analyses for a location are detected automatically. They appear as locked (free) in the analysis selection step, so you can re-access existing results at zero additional cost. You only spend credits on new parameters not yet computed for that site. Your analysis history is saved server-side for authenticated users and locally for guests.

Each individual parameter costs 0.4 credits. Running all 9 analyses costs approximately 3.6 credits. You receive 10 free credits on signup with no credit card required. Already-computed analyses for the same site are free to re-access. The credit estimator on the selection step shows the exact cost before you confirm. Additional credit packages start from 19.90 euros.

It is a carbon stock estimation tool. Enter any address and select a land use type to estimate carbon stored in 5 pools: above-ground biomass (AGB — trunks, branches, leaves), below-ground biomass (BGB — root systems), soil organic carbon (SOC — decomposed organic matter in soil layers), litter (fallen leaves and surface organic matter), and deadwood (fallen trunks and decomposing branches). Results include total stock in tCO₂/ha, annual sequestration rate, and pool distribution.

Carbon is stored in 5 distinct pools: AGB (above-ground biomass) includes all living plant material above the soil surface. BGB (below-ground biomass) covers root systems and underground structures. SOC (soil organic carbon) represents decomposed organic matter in soil layers — often the largest pool. Litter includes recently fallen leaves, twigs, and surface organic matter. Deadwood covers fallen trunks, stumps, and decomposing branches. Together they represent the complete terrestrial carbon picture.

Land use type significantly changes carbon stock distribution. Forests have the highest total stock (especially in AGB and SOC), while croplands store much less above-ground but still hold significant soil carbon. Wetlands can have extremely high SOC values. Urban areas have the lowest overall stock. The tool uses IPCC-aligned default values for each pool-land use combination, calibrated to provide realistic estimates.

Total carbon stock is classified on a 5-tier scale: Very High (200+ tCO₂/ha), High (100-199), Moderate (50-99), Low (20-49), and Very Low (0-19). Each level is color-coded from green (high) to orange (low). This classification helps you quickly assess whether a location is a significant carbon sink or has low carbon storage capacity.

The annual sequestration rate represents how much additional carbon the location captures per hectare per year, expressed in tCO₂/ha/year. Rates vary by land use: wetlands have the highest rates (typically ~18.6 tCO₂/ha/yr), followed by forests (~8.5), grasslands (~3.8), and croplands (~2.1). This metric indicates the ongoing carbon capture potential of the area.

Yes. Each completed analysis generates a share link you can send to anyone. Recipients can view the full results — total stock, sequestration rate, pool breakdown, and stacked bar chart — at no credit cost. This makes it easy to collaborate on carbon assessments and sustainability reports.

Carbon stock estimates are based on IPCC Guidelines for National Greenhouse Gas Inventories, which provide default carbon stock values by land use category and climate zone. The tool combines these with Copernicus land cover data to identify the predominant land use at the selected location. Pool-specific values are calibrated against peer-reviewed literature and national forest inventories.

Each carbon stock analysis costs credits based on the number of pools selected. On signup you receive 10 free credits with no credit card required. Additional credit packages start from €19.90. Shared analysis links are free for recipients.

It is a comprehensive air quality analysis tool. Enter any address and the tool evaluates 8 parameters: 6 individual pollutants (PM2.5, PM10, NO₂, O₃, SO₂, CO) and 2 composite indices (AQI based on US EPA standards and EAQI European Air Quality Index). Each pollutant is compared against WHO and EU regulatory limits, and the overall AQI is displayed on a 6-tier color-coded gauge from Good to Hazardous.

AQI (Air Quality Index) is a standardized scale from 0 to 500 used by the US EPA to communicate air quality levels. It is divided into 6 tiers: Good (0-50), Moderate (51-100), Unhealthy for Sensitive Groups (101-150), Unhealthy (151-200), Very Unhealthy (201-300), and Hazardous (301-500). The AQI is computed from the concentrations of major pollutants, with the highest individual pollutant sub-index determining the overall level.

The tool compares measured pollutant concentrations against two sets of regulatory limits. WHO guidelines (2021 update) set stricter thresholds: PM2.5 at 15 µg/m³, PM10 at 45 µg/m³, NO₂ at 25 µg/m³, O₃ at 100 µg/m³. EU limits are generally higher: PM2.5 at 25 µg/m³, PM10 at 50 µg/m³, NO₂ at 40 µg/m³, O₃ at 120 µg/m³. Each pollutant shows whether WHO and EU limits are exceeded or met.

Based on the detected AQI level, the tool provides 3 specific health recommendations. For Good air quality, it confirms outdoor activities are safe. For Moderate levels, it advises sensitive individuals to reduce prolonged outdoor exertion. For Unhealthy and above, recommendations escalate to avoiding outdoor activities, closing windows, using air purifiers, and seeking medical attention for hazardous conditions.

You can select from three time periods: last month (most recent 30 days of data), last year (12-month overview), or historical (5-year trend analysis). The selected period determines the data window used to compute pollutant averages, AQI levels, and trend sparklines.

Yes. Each completed analysis generates a share link you can send to anyone. Recipients can view the full results — pollutant levels, AQI gauge, limit comparisons, and health advisory — at no credit cost. This makes it easy to share air quality assessments with stakeholders.

AQI follows the US EPA standard with a 0-500 scale and 6 tiers. EAQI (European Air Quality Index) is the European equivalent, developed by the European Environment Agency, with a different calculation methodology and tier structure. The tool provides both so you can reference the standard most relevant to your regulatory context.

Each air quality analysis costs credits based on the number of parameters selected. On signup you receive 10 free credits with no credit card required. Additional credit packages start from €19.90. Shared analysis links are free for recipients.

Nature Score is a composite biodiversity score (0-100) that measures the state of nature within a 250-meter area around the selected point. It aggregates 30+ environmental KPI indicators across 5 pillars, with weights calibrable via ENCORE.

Nature Score is aligned with CSRD ESRS E4, TNFD, and SBTN. The KPIs and pillars directly map to indicators required by these biodiversity reporting frameworks.

By selecting your company's production process, the weights of the 5 pillars are automatically calibrated based on sector-specific dependencies on ecosystem services.

Nature Score uses Copernicus satellite data, ecological models, and geospatial datasets to calculate 30+ environmental KPIs including MSA, NDVI, carbon stock, water quality, and many more.

Yes, you can run multiple analyses and compare scores across different locations. Recent analysis history is available in the sidebar for quick access to previous results.

The tool analyzes the network of protected areas surrounding any location. It calculates a Protection Index (inner, outer, overall), coverage percentage, distance bands distribution across 5 ranges, identifies the nearest protected area, displays an interactive map, and provides geographic context with distances to key landmarks.

The Protection Index has three components: inner index (protection within the immediate site area), outer index (protection in the surrounding region), and overall index (combined score). Higher values indicate stronger nature protection coverage around your location.

Protected areas are grouped into 5 distance ranges from your location: 0–5 km, 5–10 km, 10–25 km, 25–35 km, and beyond 35 km. The chart shows how many protected areas fall within each band, helping you understand the spatial distribution of nearby nature protection.

The Coverage Gauge shows the percentage of land covered by protected areas in the vicinity of your location, along with the total count of nearby protected areas. It gives a quick visual indicator of how well the surrounding territory is protected.

The Geographic Context section lists key landmarks and reference points with their distance from your location. This includes features like cities, mountain ranges, coastlines, and other geographic reference points that help contextualize the location.

Yes. Each completed analysis generates a shareable link that encodes the location coordinates. Recipients can view the full results — Protection Index, coverage gauge, distance bands, map, and geographic context — by clicking the link. No credits are consumed by recipients.

Each protected areas analysis costs 1 credit. On signup you receive 10 free credits with no credit card required. Additional credit packages start from €19.90.

The analysis uses official protected areas databases including UNESCO World Heritage Sites, Natura 2000 network zones, and national/regional protected areas registries. Distance calculations are computed from the precise coordinates of your selected location.