Xadov

Land intelligence, on demand.

Land-cover baselines, maps and training datasets for your study area.

What you get · Sample dataset

1 Deliverable

10 m map, area table, 300 DPI figures, editable Word report & GIS files.

Need 2-year change analysis?

First 3 baselines free (up to 100 km²). Search on the map, draw, or upload a boundary.

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Year

More options

Calibration

Class	km²	Share

Show map overlay Transparency Download baseline (.zip)

Files in this download

Word report (.docx): editable summary, embedded maps, area table & interpretation section.
Figures (.png): 300 DPI classified map, reference view, confidence map & area chart.
GIS & tables: 10 m GeoTIFF + QGIS style (.qml), study_boundary.geojson & class_areas.csv.

How far to trust each class

Class	High	Moderate	Checked

High-confidence only Quality-checked only Show preview layer Download dataset (.zip)

GeoJSON + CSV with predictor features, metadata and README.

Choose a complete study baseline ready for reports and GIS, or labelled training points for your own classification workflow.

Built for environmental baselines, theses, site scoping and planning.

Word report (.docx): editable document with executive summary, embedded maps, class-area table, confidence summary & interpretation section.
300 DPI figures (.png): cartographic maps (north arrow, scale bar, boundary & legend) and area chart ready for slides or reports.
GIS & tabular files: 10 m 3-band GeoTIFF (class, pixel confidence 0–100, cloud-fill flag), QGIS style (.qml), study_boundary.geojson & class_areas.csv.

First 3 baselines free (up to 100 km² each). Credits cover up to 500 km² (2 credits per started 100 km²).

Quality-screened labelled points with confidence tiers and surface reflectance features, delivered as GeoJSON and CSV.

First 3 areas free (up to 25 km² each). Credits cover up to 2,200 km² and up to 5 years (1 credit per started 100 km²/year).

Class	Definition	Label purity

Benchmarked against held-out reference points not used during development.