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SERVICES
Mapping
Remote Sensing
GIS
GEOBOOK® |
Accuracy is crucial to any mapping project developed from satellite imagery, particularly when the maps are used to make land and natural resource management decisions. Sanborn is a leader in assessing the accuracy of remotely sensed data and image classification. Our accuracy assessment methods are based on knowledge and experience gained from many years of working with top experts in the field. Our Senior Technical Advisor Dr. Russell Congalton is a pioneer in this field and co-authored the definitive book on the quantitative methods of accuracy assessment (Congalton and Green 1999).
The accuracy of remotely sensed maps is traditionally assessed by comparing a sample of the map data with actual ground conditions, typically by generating an error matrix. This approach is useful for both visualizing image classification results and, more importantly, for statistically measuring the results.
Sanborn’s accuracy assessment techniques have been implemented in dozens of projects, as both qualitative and quantitative assessments on land cover and fuels mapping products. Recent customers include federal and state agencies and forestry industry organizations. In various projects we have classified as many as 100 vegetation species, 45 land covers, 16 fuels, 16 agricultural types, 14 tree size/structures, 10 tree crown covers, and 9 non-vegetation classes. Accuracy assessments are conducted to ensure the final mapping products meet the customer’s requirements. |
Imagery Collection
Image Classification
Change Detection
Accuracy Assessment |
