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    XN IRIS

    XN IRIS is iLoveNatura's flagship AI GIS: from an address or a drawn area, a natural-language AI assistant generates NDVI/vegetation, land-surface-temperature (LST), satellite and CORINE land-cover (CLC) maps on official Copernicus data. Draw and edit layers, run 9 geoprocessing operations, query the attributes table, build timelapses and export to Shapefile/GeoJSON/KML/CSV — all in the browser, with nothing to install. It also works as a full online GIS editor, no QGIS or ArcGIS needed.

    Who Uses This Tool

    Professionals who rely on this analysis

    Precision agriculture

    Monitor crop vigor with NDVI maps from Sentinel-2, spot water- or heat-stressed zones with land-surface temperature (LST), and compare field evolution over time with timelapse.

    ESG reporting

    Generate geospatial evidence from official Copernicus data — NDVI, land cover, surface temperature — and export report-ready layers for sustainability disclosure in Shapefile, GeoJSON or KML.

    Public administration and planning

    Analyze CORINE land cover and urban heat islands, delineate intervention areas with geoprocessing, and prepare decision-support maps for land planning without desktop software.

    Environmental consulting

    Prepare data for Environmental Impact Assessments: build buffers around sites, clip and dissolve geometries, overlay satellite layers and export clean GIS deliverables from the browser.

    Research and remote sensing

    Explore satellite time series with timelapse and NASA GIBS layers, compute vegetation and temperature indices for study areas, and schedule recurring generation to track change.

    What you can do

    AI chat assistant: ask for maps, analysis and geoprocessing in natural language
    NDVI and vegetation maps from Copernicus Sentinel-2 satellite imagery
    Land-surface-temperature (LST) maps to reveal heat islands and thermal stress
    Satellite layers and CORINE land cover (CLC) generated from an address
    Draw and edit vector layers with 9 geoprocessing operations (buffer, dissolve, centroid, simplify, transform CRS, explode, intersection, difference, clip)
    Attributes table and multi-format import (KML, GeoJSON, Shapefile ZIP, GeoPackage) with export to CSV, GeoJSON and KML
    Raster upload and georeferencing, version history, layer styling and reordering
    Timelapse, NASA GIBS layers, 3D globe and scheduled recurring generation

    How it works

    1

    Open XN IRIS from an address

    Enter an address or draw an area on the full-screen satellite map. XN IRIS centers the view and prepares your workspace for analysis and map generation.

    2

    Ask the AI assistant or use the commands

    Type in natural language in the AI chat or use the toolbar commands: generate NDVI, LST, satellite and CORINE land-cover maps, run geoprocessing, draw and edit layers, and query the attributes table.

    3

    Export or schedule

    Export your layers and results to Shapefile, GeoJSON, KML or CSV for QGIS, ArcGIS or ESG reports, build a timelapse, or schedule recurring generation to monitor the area over time.

    Data Sources & Methodology

    XN IRIS processes official, free Earth-observation data from the European Union's Copernicus programme. For each area the system automatically selects the most recent low-cloud satellite imagery, computes the requested indices (NDVI, LST and others) and renders them on the map. The AI assistant translates natural-language requests into concrete GIS operations.

    Copernicus Sentinel-2
    ESA optical constellation with ~10 m resolution and ~5-day revisit — the basis for NDVI, true-color imagery and most vegetation analyses
    Landsat
    NASA/USGS programme with decades-long time series — used for long-term temporal analysis and land-surface temperature (LST)
    CORINE Land Cover (CLC)
    European land-cover and land-use inventory from the Copernicus programme — classifies the territory into standardized classes for environmental and planning analysis
    Automatic image selection
    The system filters acquisitions by date and cloud cover, choosing the imagery best suited to the requested area and period to maximize the reliability of results
    Copernicus Sentinel-2 (~10 m~5 days)LandsatCORINE Land CoverNDVILand Surface Temperature (LST). Accuracy is limited by satellite resolution (~10 m) and the availability of low-cloud imagery.

    Frequently Asked Questions

    Answers to the most common questions about this tool

    1What is XN IRIS?

    XN IRIS is iLoveNatura's flagship AI GIS: a chat assistant that, from an address or a drawn area, generates NDVI, land-surface-temperature (LST), satellite and land-cover maps, runs geoprocessing and edits layers. It all runs in the browser on official Copernicus data, with no software to install.

    2What is NDVI and what is it for?

    NDVI (Normalized Difference Vegetation Index) measures vegetation vigor by combining the red and near-infrared bands of satellite imagery. High values indicate dense, healthy vegetation; it is used to monitor crops, water stress, deforestation and ecosystem health over time.

    3What are land-surface-temperature (LST) maps?

    LST (Land Surface Temperature) is the temperature of the ground surface measured by satellite, distinct from air temperature. LST maps highlight urban heat islands, arid areas and vegetation thermal stress, useful for urban planning, agriculture and climate analysis.

    4Which satellite data does XN IRIS use?

    XN IRIS uses official data from the European Union's Copernicus programme: mainly Sentinel-2 (~10 m resolution, ~5-day revisit) for NDVI and optical imagery, plus Landsat for long time series and CORINE Land Cover for land cover. The system automatically selects low-cloud imagery.

    5Can I use it as an online GIS editor?

    Yes. XN IRIS is also a full online GIS editor: you draw and edit vector layers, run 9 geoprocessing operations, manage the attributes table, georeference rasters and export to standard formats — all from the browser, with no QGIS or ArcGIS to install.

    6Which formats can I import and export?

    You can import vector layers in KML, GeoJSON, Shapefile (ZIP) and GeoPackage, plus rasters (PNG, JPG, TIFF, PDF) with georeferencing. You export layers and analysis results to CSV, GeoJSON and KML, compatible with QGIS, ArcGIS and Google Earth.

    7Is it free? Do I need credits?

    Core features — drawing, layer editing, measurement, import/export and the AI assistant — are available on the free plan (10 credits on sign-up, no card required). Advanced operations consume credits: the first geoprocessing operation and the first AI chat messages of each session are free, then it costs 0.1–0.2 credits per operation.

    8How accurate are the analyses?

    Accuracy depends on the underlying satellite data: Sentinel-2 has a resolution of about 10 m, so analyses are reliable at field and area scale, less so for individual objects. The system prefers recent low-cloud imagery; cloud cover, shadows and the ~5-day revisit interval can affect results.

    9Who is XN IRIS for?

    It is designed for people working with nature and the environment without being GIS experts: precision agriculture, ESG reporting, public administration and land planning, environmental consulting and research. The natural-language interface makes geospatial analysis accessible to everyone.

    10How is XN IRIS different from QGIS or ArcGIS?

    QGIS and ArcGIS are powerful desktop applications you install and configure, with a steep learning curve. XN IRIS runs entirely in the browser, is driven by a natural-language AI assistant and directly integrates satellite, NDVI, LST and land-cover map generation on Copernicus data, with no setup. They are complementary: you can always export to Shapefile/GeoJSON to continue in QGIS or ArcGIS.

    Try it now

    Free — start right away with your credits

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