Documentation

The satellite data available on GeoMarketplace (https://cms.geomarketplace.it/immagini) provide access to high-precision imagery with different processing levels. These are essential tools for applications such as environmental monitoring, precision agriculture, urban and territorial mapping, emergency management, and more.

Image Resolution

You can select the spatial resolution of satellite imagery based on the area and level of detail required:

  • Superhigh (0.3/1m): Ideal for urban and suburban areas (built environment level).
  • High (1.5/5m): Suitable for neighborhood or small community analysis.
  • Medium (10/15m): Appropriate for regional-level analysis.
  • Low (over 15m): For national-scale analysis.

Spectral Bands

Two main image options are available:

  • Natural Color (RGB): Images similar to what the human eye perceives.
  • False-Color Multispectral Images: Allow advanced analysis using infrared and other bands, essential for vegetation, hydrological, and environmental studies.

Image Processing Levels

Satellite images can be provided at different processing stages:

  • Raw Image: Native sensor image with no processing.
  • Orthorectified Image with possible mosaicking: Geometrically corrected to accurately represent the Earth’s surface, suitable for precise spatial measurements and comparisons.
  • Orthorectified Image with Additional Processing: Includes specific thematic analyses such as vegetation index processing.

Orthorectification is a procedure that eliminates geometric distortions caused by viewing angle and terrain relief, providing highly accurate georeferenced images.

Available Processing Types

Various processing options derived from multispectral indices are available:

  • NDVI – Normalized Difference Vegetation Index: NDVI = (NIR − RED) / (NIR + RED)
  • NDMI – Normalized Difference Moisture Index: NDMI = (NIR − SWIR) / (NIR + SWIR)
  • NDBI – Normalized Difference Built-up Index: NDBI = (SWIR − NIR) / (SWIR + NIR)
  • BAI – Burn Area Index: BAI = 1 / ((0.1 − RED)² + (0.06 − NIR)²)
  • NDWI – Normalized Difference Water Index: NDWI = (Green − NIR) / (Green + NIR)
  • NDCI – Normalized Difference Chlorophyll Index: NDCI = (RedEdge − RED) / (RedEdge + RED)
  • RTVICore – Red-Edge Triangulated Vegetation Index: RTVICore = 100 × (NIR − RED-edge) − 10 × (NIR − GREEN)

These indices provide quantitative insights into soil conditions, vegetation coverage, water presence, fire damage, and more.

Formats and Coordinate Reference Systems

  • Native Format: GeoTIFF, ideal for integration into GIS software.
  • Other Formats: Available upon request.
  • Coordinate System: Images are delivered in WGS84 UTM, with the native zone determined automatically or as agreed with the user. Conversion to other reference systems is also available if needed.