Geomatica® GeoComp

Whether for compositing or geocoding GeoComp is intended to address the requirement of a range of users from ground-station operators, forest fire management agencies, crop forecasting and assessment agencies, crop insurance companies, forestry industries, global change researchers, national and regional-scale government environmental agencies, and many more! Geomatica GeoComp is currently being used as an automated production systems for continental monitoring of crops, forests, and fire hot spots with minimal user intervention.

Geomatica GeoComp offers:

Geocoding and processing support for AVHRR, MODIS and IRS imagery Image Chip database capabilities using for storage, and automated retrieval of geo-locational information Management utility for creating and modifying chips Chips can be automatically or manually used for collecting Ground Control Points (GCPs) Creation of cloud free image composites (multi-scene, multi-day) Fast processing of many scenes and large data sets Precision Geocoding producing highly accurate output Processes many different product layers to many different industries Easy to use Graphical User Interface (GUI)

Who Uses Geomatica Geocomp? And Why?

"The Manitoba Remote Sensing Centre (MRSC) has been involved in processing NOAA data for more than a decade. This expertise contributed to the design and development of the current PCI Geomatics based Geocomp system. The result is an extremely user friendly and efficient geocoding and compositing system."

Follow the links below to discover how Geomatica GeoComp has provided solutions for a wide variety of problems.

Canada Centre for Remote Sensing (CCRS) Solutions: GeoComp-n, an advanced system for generating products from coarse and medium resolution optical satellite data. Part 1: Fire Monitoring, Mapping, and Modeling (Fire M3) Manitoba Remote Sensing Centre Solutions: Image Compositing and Value-Added Product Generation Annual Report for Research Centers and Institutes Reporting Period 2000 and 2001 University of California Berkeley - USA: Development of Long Term Inventory of Fire Burned Areas and Emissions of North America’s Boreal and Temperate Forests NOAA - USA: A reliable Crop Condition Assessment Program (CCAP) incorporating NOAA AVHRR data, a geographic information system and the Internet Space Applications Centre - India: THE KLUANE ECOLOGICAL MONITORING PROJECT ANNUAL REPORT 2003 University of Toronto - Canada: Enhancing China's Capacity for Carbon Sequestration General Solution Examples: Monitoring Large Regions of Interest Vegetation Monitoring

Monitoring Large Regions of Interest - Solution Example 1

Problem:

Your organization is responsible for monitoring areas with large geographic extents. Low-medium resolution imagery, such as AVHRR, MODIS and IRS, are ideal for your application because of your large regions of interest. Utilizing such imagery poses problems such as:

Finding software which supports data from the sensors that you use Large dataset processing troublesome and time consuming Ground Control Point (GCP) collection, for the purposes of imagery geocoding, is a time-consuming, manual effort Partial cloud cover in your large areas of interest

Solution:

Geomatica GeoComp provides all of the tools necessary to process and analyze your imagery effectively and efficiently. GeoComp is designed to work with multiple levels of AVHRR, MODIS and IRS imagery. GeoComp is optimized to work with the large datasets produced by these sensors. Automated geocoding, along with manual override options, ensures that your data is geocoded quickly and accurately. Cloud cover in your imagery can be removed with automated image compositing.

ROI Monitoring Problem Geomatica GeoComp Solution Finding software which supports AVHRR, MODIS and IRS data GeoComp handles data from all of these sensors Processing large datasets is troublesome and time consuming GeoComp is optimized to work with the large datasets created by these sensors Geocoding imagery is a time-consuming, manual effort GeoComp offers automated geocoding which is both efficient and accurate Cloud cover in region of interest GeoComp’s image composting capabilities remove clouds from your imagery to give you a clear view of your region of interest

Vegetation Monitoring - Solution Example 2

Problem:

As an organization concerned with the quantity and quality of vegetation in your region of interest you rely on imagery to assist in the assessment of current vegetation levels and threats, as well as for visualization and presentation of these assessments. Because of your large study area you rely on low-medium resolution imagery such as AVHRR, MODIS and IRS. Problems and challenges faced in dealing with these images include:

Finding software which will read raw AVHRR, MODIS and IRS data formats Processing the imagery – raw data import, ground control collection, geocoding, subsetting and compositing is time consuming Inconsistent (operator dependent) vegetation information products such as NDVI and BRDF Identification of threats such as forest fires Partial cloud / smoke cover over forests

Solution:

Geomatica GeoComp is the perfect solution for large-area vegetation monitoring, and is currently being used by several organization in this respect. Automated data input, geocoding and compositing mean less time spent on repetitive tasks and more time spent analyzing information produced by this data. Automatic generation of vegetation information products – such as NDVI, BRDF and Forest Fire Maps – ensures efficient and consistent results.

Vegetation Monitoring Problem Geomatica GeoComp Solution Finding software which support AVHRR, MODIS and IRS data GeoComp handles data from all of these sensors Pre-processing of imagery is time consuming Automated raw data input, ground control collection and geocoding Inconsistent (operator dependent) vegetation information products Automatic generation of vegetation information products – including LAI, NDVI and BRDF – ensures consistent results Identification of forest fires Generation of forest fire maps Cloud / Smoke cover Automatic generation of image composites ensure a clear view of vegetation