Operational mapping
Institutional layers for assets, infrastructure, fields, blocks, lines, ports, operating zones, and other georeferenced objects.
GEOSPATIAL · SATELLITE · EARTH OBSERVATION
Geospatial & Earth
We turn maps, satellite data, AIS, weather, and environmental signals into operational intelligence.
QUICK OVERVIEW
ScopeLand · sea · infrastructure
DataMulti-source
AnalysisSpatial · temporal
UseOperational · institutional
More than a map
The geospatial layer connects location, time, assets, sensors, and context. The goal is to let an institution see what is happening, compare it with history, and investigate change in one environment.
CAPABILITIES
From Earth observation to decisions.
Paca Systems integrates geospatial and environmental sources into operational interfaces, combining visualization, time series, alerts, analysis, and historical replay.
Satellite observation
Optical and radar sources for observing territory, coastlines, water, vegetation, fires, surface change, and environmental conditions.
Maritime & AIS
Vessel movements, routes, ports, areas of interest, and maritime context combined with environmental data and satellite imagery when available.
Historical replay
Monthly, seasonal, or annual review to compare events, movement, conditions, and change across land or ocean environments.
Spatial analysis
Filters, multi-selection, proximity, cross-layer correlation, historical comparison, and location-based event investigation.
Alerts & workflows
Detection of relevant conditions and routing into teams, operational pages, or internal investigation workflows.
SOURCES & SIGNALS
Satellite and environmental data are part of the architecture.
Subject to rights, availability, and mission requirements, the platform can integrate public, commercial, or institutional sources and combine them with an organization's own data.
Radar · Sentinel-1
Synthetic-aperture radar for day/night and cloud-penetrating observation, useful for water, coastlines, surface change, and maritime analysis support.
Optical · Sentinel-2 / Landsat
Multispectral imagery for territory, vegetation, water, infrastructure, land use, and visual comparison over time.
MODIS / VIIRS
Wide-area Earth-observation products for fire, surface temperature, cloud conditions, and other high-frequency environmental signals.
Oceanography
Sea-surface temperature, chlorophyll-a, and related indicators for understanding ocean conditions, seasonality, and maritime activity.
Weather & environment
Precipitation, wind, temperature, air quality, smoke, flooding, and other environmental layers integrated into operational context.
AIS & institutional data
Vessel tracks, assets, events, and internal data can be combined with satellite sources for investigation and contextual monitoring.
APPLICATIONS
One geospatial foundation can support multiple sectors.
The architecture is reusable, while each environment is configured around the institution's mission, data, and workflows.
Maritime, ports & fisheries
Maritime awareness, vessel movement, fishing areas, seasonal patterns, support for detecting irregular activity, and ocean-condition analysis.
Energy & mining
Assets, blocks, fields, infrastructure, access routes, surface activity, and environmental context connected through operational maps.
Water & flooding
Basins, reservoirs, precipitation, flood risk, land cover, and change signals supporting planning and response.
Critical infrastructure
Corridors, lines, facilities, risk zones, and change around essential assets.
Territory & environment
Land-use change, vegetation, fires, coastlines, environmental quality, and indicators for public or institutional analysis.
Security & operations
Spatial context for command centers, borders, emergency response, and other operations when connected through authorized interfaces.
PRINCIPLE
The value is not in showing more layers. It is in turning spatial and temporal signals into usable context.
PACA SYSTEMS
Geospatial as intelligence infrastructure.
We build environments combining maps, satellite sources, sensors, history, and institutional data to support real analysis and operations.