Satellite Imagery For
Urban
Planning
Satellites for sustainable Growth
Enforce Regulations
Detect and confirm new structures and monitor environmental compliance
Plan New Infrastructure
Utilise advanced data to enhance the site selection process
Analyse Impact
Assess vegetation health, ground water and human activity changes
Very High Resolution satellite images offer a unique view of what lays in, on and around urban and rural settlements. It provides a cost-effective and simple method of monitoring wide areas both locally and globally, as opposed to using in situ data, and is an indispensable tool for managing the actions and events that impact urbanisation leading to urban sprawl.
A methodology to classify urban poor areas enabling improved infrastructure
Read about this and more satellite imagery applications in the Urban Planning INCITE industry report: From Urban To Rural – Enabling Sustainable Urban Planning and Development Using Satellite Imagery
Download the Latest Edition of INCITE
From Urban To Rural: Enabling Sustainable Urban Planning and Development Using Satellite Imagery
The definitive guide to acquiring and using satellite imagery in the urban planning industry.
DETAILED ANALYSIS
Very high resolution satellite imagery is clear enough to show road lines, sidewalks, vehicles, small structures and even people. This allows for precise analytics for city development. It is ideal for:
- Studying Traffic Patterns
- Crowd Management
- Small Feature Identification
- Verifying Property Lines
- Mapping Road Features
- Walkability Analysis
MATERIAL IDENTIFICATION
We offer more spectral diversity and better spatial resolution than any other satellite imagery provider – allowing you to see more of what is actually happening in your city. Multispectral imagery can assist in identifying building materials, separating organic and synthetic surfaces, analysing plant health and much more.
This has endless applications including environmental impact studies, compliance reporting and impervious surface calculations.
Ecopia GFX
By European Space Imaging
Ecopia Global Feature Extraction (GFX) Powered by European Space Imaging is a unique partnership that utilises the freshest, highest quality satellite imagery along with the most advanced artificial intelligence from Ecopia.AI (Ecopia) to offer accurate geospatial feature extraction at continent-wide scale. The product comes with up to 12 core features eligible for extraction, so users can receive comprehensive land cover maps with zero in-house GIS work.
The resulting vector maps are delivered as easy-to-use shapefiles, enabling users to focus on necessary analytics rather than time consuming map making.
City Morphology
Large-scale monitoring with VHR satellite imagery provides valuable information about the morphology of a city. Understanding the patterns of new construction and traffic in a rapidly growing municipality provides insights into new infrastructure requirements.
Mapping and GIS activities are greatly enhanced with the use of VHR multispectral and stereo satellite imagery.
Download the Latest Edition of INCITE
From Urban To Rural: Enabling Sustainable Urban Planning and Development Using Satellite Imagery
The definitive guide to acquiring and using satellite imagery in the urban planning industry.
18 European Landmarks in Satellite Images
Satellite sensors captured unique architecture, breathtaking nature and centuries of history. Explore the Colloseum, La Sagrada Familia, the Leaning Tower of Pisa, and other landmarks.
Understanding ONA in Satellite Imagery: What is Off Nadir Angle and What Is It Used For?
Off Nadir Angle (ONA) plays a crucial role in the quality of optical satellite imagery. It influences its resolution and clarity, decides the visibility of features, and makes it easier or harder to identify objects. Moreover, ONA is used to create stereo imagery and 3D models of the Earth’s surface. Read on to learn more.
Sun Glint Can Ruin Satellite Imagery. How Do We Avoid It?
Sun glint occurs when sunlight reflects off water or another reflective surface at the satellite sensor, creating a bright glare in the image. That can make it impossible to extract useful information from satellite imagery. What do we do to minimise its impact?