Founded in 2002, and 100% Australian owned and staffed, Geospatial Intelligence Pty Ltd is a specialist provider of geospatial data, analysis and analytics.
We help you turn geospatial data into valuable information.
Our highly qualified team of experts will work with you to understand your geospatial needs and challenges, and will dedicate themselves to:
- sourcing the best available data
- creatively applying their skills and leading analysis tools to turning that data into meaningful information
- providing you with a tailored solution
Our products and services allow our clients to understand context, relationships, patterns and trends. This valuable information can be applied in:
- enhancing their domain awareness and knowledge
- supporting informed decision making
- providing them with a strategic or competitive advantage
We design and deliver applications for all sectors of the geospatial market.
Our track record has built us a strong reputation for delivering innovative, responsive and effective geospatial solutions and applications that consistently exceed our clients’ expectations.
The key to our business success is a combination of our:
- quality service
- specialist expertise
- reputation for creativity and reliability
Why Geospatial Intelligence?
We drive ourselves to be at the forefront of geospatial information and analytics, and strive to be the premium Australian company for the provision of innovative solutions to geospatial challenges.
At the heart of our work is a commitment to:
- Exceptional service
- Superior domain knowledge and expertise
- Innovation and imagination
- Creating value for our customers
Our core capabilities and expertise mirrors the value chain of geospatial data gathering and interpretation:
- Sensing and Data Capture
- Analysis and Analytics
- Domain Application
- Support and Training
Geospatial Sensing and data capture
Geospatial Intelligence is a leading Australian re-seller of very high resolution optical and radar satellite imagery. We can directly task some satellites, and request targeted images from others, to capture imagery that best meets our customers’ particular needs. We can deliver this imagery in a ready to use format or combine it with other data sources and analysis, to deliver a value-added product.
Geospatial Intelligence excels in the use of open source intelligence. This includes location data, structured and unstructured data. Our custom algorithms allow us to efficiently collect, process and analyse open source intelligence to understand context, relationships, patterns and trends.
Analysis and analytics
Geospatial Intelligence has considerable expertise in geospatial analysis, big data & link analytics, artificial intelligence, machine learning and the development of effective user interfaces. These skills allow us to develop sophisticated analytical tools that automate the extraction of information from large data sets and present this information in a format that supports informed decision making.
Geospatial Intelligence has been delivering innovative solutions to the homeland security and environmental sectors since 2002. This experience has built significant capability which has then been applied to develop solutions in other domains such as emergency management, resource management and infrastructure.
Our staff come from diverse industry backgrounds. This sector experience allows us to understand the challenges of different industries and develop applications that will deliver value.
Support and Training
Our service doesn’t end with the supply or development of a product. We help our customers apply our products in their regular operations and offer ongoing support and training to help our customers get the greatest benefit from our services, and build internal capability. We customise our services to meet our customers’ needs.
We also provide training as a stand-alone service. Geospatial Intelligence is the only training provider featured in the 2018 & 2019 Australian Military Sales Catalogue.
Sensing and Data capture
Analysis and Analytics
Support and Training
News & Media
This document represents Geospatial Intelligence Pty Ltd’s inaugural White Paper. Geospatial Intelligence […]
Under the terms of the agreement, exactEarth will provide GI with the […]
Join us for an introductory webinar to learn the basics of synthetic […]
Geospatial Intelligence is a proud supporter of
Frequently Asked Questions
Both satellite and aerial imagery have advantages. Satellite observations are continuous for the life of the satellite. If you don’t know when or where something will happen, it can be very expensive to continuously fly aircraft. Aerial platforms also have a limited range and flight duration due to fuel and weather restrictions.
Satellites can monitor a large area continuously and identify regions where aerial platforms could be tasked to observe areas of interest more closely.
The spatial resolution required by each application will vary. For example, to monitor the size of a forest may not require high spatial resolution imagery but it will be necessary if there is a requirement to identify individual trees. To map the boundary of a lake might not require high resolution imagery but it would be essential to identify a boat in the middle of an ocean. With respect to spatial resolution, the type of imagery is also important – high resolution radar and optical imagery have different properties that need to be understood in relation to the task at hand.
Yes, Synthetic Aperture Radar (SAR) sensors use their own energy source (active sensor) to send, receive and record how much of the transmitted energy is reflected, refracted or scattered. The energy source used for radar is of a shorter wavelength than visible light, making it possible to operate at night, penetrate cloud, and in some cases even terrain.
Imagery from optical sensors relies on reflectance, absorption and transmission of visible light from the sun (passive sensor), poor amounts of sunlight, bad weather and cloud will impact optical imagery.
Geospatial Intelligence has access to a number of SAR satellites that allow us to capture data both at night and in bad weather.
A spectral band is the range of wavelengths that a sensor is able to detect and capture. Most optical sensors have at least three bands (visible bands), being Red, Green and Blue (RGB). Each of these bands detect the reflectance of energy (light) across their respective wavelengths: Red ~700-635nm, Green ~560-520nm and Blue ~490-450nm. Other satellites may detect a range of ‘bands’ like multispectral bands, shortwave Infrared bands and CAVIS bands as well as a panchromatic band, that can all be used to identify and provide valuable information to support earth observation.
At present, a single satellite is unable to orbit the earth to image everywhere each day, although capture opportunities are increased with more satellites operating in a constellation. Depending on a satellite’s orbit, it may be able to visit the same location near daily. However, with limited storage on a satellite, and with associated costs involved to send and store very high-resolution imagery, most satellites only collect imagery when ‘tasked’ to do so. In some cases, satellite operators may task a satellite to continue to collect high demand areas without the need for a customer's specific request and archive such imagery. It is also beneficial for suppliers to keep a regular archive of imagery over most areas of the world for use in basemaps etc.
While the common usage of high resolution refers to spatial resolution, there are actually three types, spatial, temporal and spectral.
Spatial resolution – Spatial resolution refers to the ground sample distance of each pixel in an image. For example an image with a 0.5m spatial resolution has pixels that each capture a ground area of 0.25 square metres. Higher resolution images allow the user to see smaller objects and larger objects with more detail.
Temporal resolution – Temporal resolution refers to revisit time. The higher the temporal resolution, the more often a satellite passes over a location to take an image. Temporal resolution can be increased by having more satellites in a constellation.
Spectral resolution – Spectral resolution refers to the number of discrete spectral bands that a sensor collects. For example, a standard camera has low spectral resolution, collecting only 3 spectral bands: the visible blue, green and red, whereas a hyperspectral sensor potentially collects hundreds of spectral bands therefore having a high spectral resolution. More spectral bands allows you to extract more information.
Optical and radar data have distinct advantages for different applications. Optical satellite imagery is visually similar to a digital photograph however the sensors collect substantially more spectral information allowing users to identify and classify features in the image. For example identifying and classifying different vegetation types requires optical imagery. Cloud cover does impact optical imagery as the features on the ground are not visible through cloud. Synthetic Aperture Radar (SAR) imagery provides reliable, weather-independent data, able to be acquired day or night. Radar data typically requires more expertise for interpretation and imagery is particularly useful for the detection of highly reflective objects, for example, in applications such as vessel detection. Radar data can also be used for detection of small scale surface movement over periods of time, for example to determine if a structure such as a bridge of a dam is stable.
Most satellite imagery is not yet available in real time. Once an image is captured, the satellite will transmit the image to earth when it is within range of a ground station that is capable of communicating with the satellite. The image may then undertake some minor processing before being made available for delivery. These systems are fully automated and require minimal human intervention making delivery of data, once captured, as efficient as possible.
Automatic Identification Systems (AIS) on the other hand, can provide near real time tracking and identification using a constellation of satellites in constant communications to interpret and share information on maritime vessels' details, location and speed.
We work closely with our satellite data suppliers, and pride ourselves on our responsiveness, so if you have an operational need for as near to real time imagery as possible, or need to monitor areas of interest, be sure to get in contact with us.
At Geospatial Intelligence we specialise in high resolution satellite imagery of down to 0.3m. At this resolution we can identify the colour and size of vehicles, large to medium farm animals, farm machinery, and even clear line markings. The better the resolution of imagery, the more detail that is visible in an image.
LiDAR and SAR technologies differ but also provide complementary information and can be used together to capture data for both large and small-scale applications.
LiDAR (Light Detection and Ranging) - Also known as Airborne Laser Scanning
- An active remote sensing system
- Mounted on airborne platform
- Emits pulses from laser transmitters and optical sensors as receiver
- Often returns irregular point sample
- Has a very narrow laser beam
- Can pass through gaps in canopy to determine ground
- Ideal for low level, high accuracy surveys
- Often used to derive digital elevation data
SAR (Synthetic Aperture Radar)
- An active remote sensing system
- Mounted on either satellite or airborne platform
- Transmits radio waves and a pair of antennae detect backscattered signal
- Samples cells at a regular interval
- Long wavelengths
- Can penetrate clouds, dust and haze
- Ideal for high level, regional surveys
- Often used for flood monitoring, or vessel detection