- Technology
- Land Use
geospatial technology
Land Use
Track Land Use Trends and Changes: The Earth changes continuously. Your maps should reflect those important human-made and natural environmental changes.
Monitor Land Use Change with High Cadence at Scale
With Orbital Insight GO, you can map and monitor infrastructure and environmental trends and changes with high cadence.
Whether manmade or natural, you'll be able to quickly quantify land use trends and the changes to the Earth's surface as they occur.
With GO, you are able to track changes to:
- Buildings
- Roads and parking lots
- Fields, grasslands, and agriculture
- Planted and natural forests
- Mining
- Bodies of water
Infrastructure Mapping
Manual efforts to detect land use trends and changes are expensive, not scalable, or not permitted. With the power of machine learning and cloud computing, GO eliminates these problems.
In addition, you'll be able to combine land use results with other Orbital Insight data sources such as cell phone geolocation data to deliver greater value.
Land Use Tracking Examples
- Monitor national infrastructure projects with geopolitical significance such as the Belt and Road Initiative (BRI).
- Map countrywide roads and buildings for autonomous vehicle training or ride-hailing services.
- Detect facility construction, new bases, roads, etc. for national security insights.
- Monitor deforestation; differentiate between virgin and planted forest as an indicator of illegal activity.
Orbital Insight GO enables you to provide a timely spatial data infrastructure (SDI) regardless of geography, for example rural or urban, and with a single consistent methodology.
"...attempting to generate this trend data without the aid of Orbital Insight's computer vision algorithms would take individual analysts weeks or months versus Orbital Insight's hours or days."
Success Story: Japan's Road Network
With autonomous cars and assisted driving technologies, current and accurate maps are not only in demand, but are required.
PROBLEM:
Driving every road frequently enough to keep up with land changes is impossible, not to mention extremely expensive. Even a single satellite constellation’s cadence and fidelity cannot keep pace with road changes, especially in hyper-local, urban areas, like we find in Japan.
SOLUTION:
A multi-source data solution is necessary, and GO is up to the challenge. In this case, GO provided: feature-level accuracy, nation-wide scalability, high-resolution imagery, and differentiated high-cadence imagery.
RESULTS:
GO's automated solution tracked and validated 1,210,251 km. of roads in a quarter of the time of traditional methods. Our client ultimately detected 10 times more changes, in less time, with a significant cost savings.
Related to Geolocation Surveillance
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