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National Mapping Authorities (NMAs) require collection, compilation, and validation of data from diverse information sources and sensors. Remotely sensed data—aerial imagery and data from satellites and other sensors—is critically important to identifying and collecting new and changed features and updating them on the base data. This is done with analytical tools and, increasingly, artificial intelligence (AI) and deep learning. Data and services from all levels of government and other organizations are easily incorporated. The compiled data can then be verified and corrected by field staff.

Data collection

Detection and extraction of changed features

Identifying where real-world features are changing is key for National Mapping and Geospatial Authorities (NMGAs) to map updates for their customers. This process is increasingly automated through the use of GeoAI and deep learning. New imagery is compared to older imagery, using GIS for image analysis to quickly detect change. These changes are compared to the digital map data to rapidly update the features.

Man looking at digital maps on multiple desktop computers

Identification of features with GeoAI and DL

AI and deep learning (DL) with GIS, or GeoAI, automate and accelerate the process of change detection and feature identification. ArcGIS is used for classifying imagery and labeling data for training AI models. The AI models' inferencing results identify changed features that can be extracted and analyzed in ArcGIS. These features can be quickly used to update the authoritative basemap data for your nation.

Map of buildings with certain buildings highlighted

Access information from other organizations

National, state, regional, and local governments and other organizations have data that NMGAs can use to compile changes and reduce data collection redundancy. Integrating these sources from many different formats requires data interoperability tools and geoprocessing scripts that extract, transform, and load (ETL) data automatically to efficiently harvest data.

Diagram showing the connection between cloud platforms and various data types

Collect, verify, and correct field data

Planning where to send your workforce is key to effectively capturing change. Collecting changes in the field with the same enterprise GIS used in the office avoids errors and barriers between workgroups. Assigning, navigating, and monitoring staff's locations and progress enhances safety and efficiency. ArcGIS field operation apps provide verification of who collected what, when, and where.

Surveyor out in the field with equipment

COLLECT AND CAPTURE

Data Collection with GeoAI and Deep Learning


Artificial intelligence and deep learning are revolutionizing map production, cutting time and effort and improving data quality.

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Data collection products and solutions

National mapping strategies

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