Satellite Imagery Analysis and Change Detection

We locate available satellite imagery by location, date, resolution and required technical characteristics.

• Documented Search and Selection of Satellite Imagery

  Find suitable scenes for a study.

  Expected deliverables: STAC inventory of imagery and assets in JSONL or CSV with the query used; selected COG imagery batch in COG/GeoTIFF with a manifest; scene-coverage index map in GPKG with an attribute table.

We correct, crop, combine and organize satellite imagery to support comparison and analysis.

• Orthophoto Mosaic and Preparation

  Combine georeferenced imagery from different sources.

  Expected deliverables: Mosaic VRT or GeoTIFF, source files and seam checks.

• Binary Thematic Masks Based on a Documented Threshold

  Identify pixels meeting a specific numeric or spectral condition.

  Expected deliverables: Raster mask with optional vectorized version, thresholds, NoData and area measures.

• Organized Satellite-Band Data Package

  Separate image bands need consistent organization, compositions and reference systems.

  Expected deliverables: Recoded/stacked bands, indicative RGB composite, inventory and value checks.

We produce maps distinguishing land-cover classes such as vegetation, water, buildings and agricultural surfaces.

• Thematic Classification of Satellite Imagery

  Distinguish observable land-cover classes.

  Expected deliverables: Supervised thematic classification raster in GeoTIFF with a CSV legend; spatially supported confusion matrix in CSV with a sampling protocol.

• Land Cover Class Quantification from a Supplied Map

  Quantify the areas, proportions and exceptions in an existing classified map.

  Expected deliverables: Class-area table, verification map and unknown-class records.

We calculate image-derived indicators describing observable vegetation, water and terrain characteristics.

• Indicative Vegetation Index Map

  Map spectral indices from image bands.

  Expected deliverables: Spectral index GeoTIFF and indicative map with bands and formulas.

• Exploratory Mapping of Water or Built-Up Area Indices

  Visualize a multiband index other than a vegetation index.

  Expected deliverables: Defined-index GeoTIFF, color ramp/map, band metadata and declared thresholds.

We compare imagery from different dates to locate and map detectable changes in an area.

• Mapped Evolution of a Territorial Variable

  Data from different dates lack a directly comparable series.

  Expected deliverables: Organized raster time series in NetCDF or GeoTIFF with a CSV index; per-cell temporal-change map in GeoTIFF with documented methodology; descriptive spatial-trend table in CSV or Parquet.

• Multitemporal Comparison of Imagery and Maps

  Locate differences between dates.

  Expected deliverables: Date-indexed raster stack in GeoTIFF with a JSON time index; multitemporal statistics table in CSV or Parquet; temporal anomaly map in GeoTIFF.

• Cartographic Animation of an Existing Time Series

  Prepare a clearly organized sequence of dated map layers for monitoring.

  Expected deliverables: Image sequence or video derived from temporal project, with legend and chronology.

• Numeric Difference Map Between Two Raster Datasets

  Measure where and by how much a variable differs between comparable dates.

  Expected deliverables: Difference raster, magnitude histogram, map and variation-zone table.

We process data from specialist satellite sensors to prepare imagery and datasets for further analysis.

• Satellite Radar Image Preparation

  Raw SAR data cannot be used directly.

  Expected deliverables: Calibrated and geocoded SAR mosaic in GeoTIFF with a GPT processing graph in XML; SAR-processing quality report in MD or CSV with metadata.

• Exploratory Multiband and Hyperspectral Analysis

  Identify relevant spectral differences.

  Expected deliverables: Spectral-index or abundance map in GeoTIFF with band metadata; multiband-cube integrity record in CSV or JSON; exploratory hyperspectral classification raster in GeoTIFF with a metrics matrix.

• Inter-Scene Compatibility and Quality Report

  Establish whether two imagery products can be compared without distorting the results.

  Expected deliverables: CRS/resolution/extent/band/NoData matrix and list of required repairs.