Create authoritative information by leveraging many sources
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.
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.
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.
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.
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.
COLLECT AND CAPTURE
Ordnance Survey UK is tackling the challenge of moving their imagery processing workflow to the cloud by leveraging ArcGIS Image capabilities.
Collect and capture
The Public Authority for Civil Information (PACI) used machine learning and deep learning to modernize GIS data and support the Kuwait Vision 2035.
COLLECT AND CAPTURE
Discover how deep learning models can be used for a wide variety of use cases such as 2D and 3D object detection and classification.
COLLECT AND CAPTURE
ArcGIS Field Maps combines the functions of ArcGIS Collector, ArcGIS Tracker, and ArcGIS Explorer into one app for efficient mobile mapping.
COLLECT AND CAPTURE
Artificial intelligence and deep learning are revolutionizing map production, cutting time and effort and improving data quality.
COLLECT AND CAPTURE
In Queensland, Australia, a computer vision model was trained to automatically classify different types of land use.
Capability
The ArcGIS photogrammetric suite enables you to transform drone, aerial, and satellite images into authoritative map products.
Product
This ArcGIS Pro extension provides tools for advanced image visualization, exploitation, and geospatial analysis to gain intelligence.
Product
This extension integrates apps and data by eliminating boundaries between data format, storage, and transport technologies.
