Drone Analytics Software is designed to process, analyze and interpret data collected by drones. It enables users to extract valuable insights and actionable information from the drone's sensor data, such as images and videos, that helps to improve overall operations. The software often employs advanced algorithms and techniques to create 2D or 3D maps, measure distances and volumes, and generate accurate maps or models to identify objects. It also prioritizes data security and compliance with privacy regulations by providing encryption protocols and data anonymization features. It is widely used in industries such as agriculture, retail and logistics, construction, mining, infrastructure inspection, environmental monitoring and surveying.
Earth Intelligence is centred around the collection and analysis of geospatial data and deriving insights using earth observation technologies. The data collected is regarding Earth's physical, biological, and human systems via high-resolution satellite imagery, aerial sensors, remote sensing etc. It provides geospatial analysis which involves analysing and interpreting data that has a geographical or spatial element, using tools like Geographic Information Systems (GIS), deriving insights that help in informed decision making. It is used by environmental groups and government agencies for environmental monitoring, resource management, disaster management, urban planning and understanding global changes.
Geospatial technology refers to a set of technologies used to acquire, manipulate and store geographic information. The geospatial information system (GIS) software market in energy and utilities is defined by buyers looking for software and applications to manage and optimize geotagged data for spatial analysis, hydrologic and water quality analysis, network models, pipeline and field planning, design, construction, and operations. GIS can support real-time design and modeling; visualize electrical, gas, and/or water and pipeline network topology; model geological and surface feature relationships; and depict the relationship between assets and the environment including network/grid, facilities, land, vehicles, equipment, employees, customers and surrounding elements.
An open data management (ODM) platform is an integrated software suite that consists of an open data portal, metadata management, a library of public APIs and data analytics, and visualization and reporting tools. An ODM platform can be developed from open-source software (OSS) and be managed on-premises, or hosted and supported as a service by an open data service provider. The ODM platform supports the collection, discovery, enhancement, analysis and sharing of data, data cataloging, data storage, and data publication in one or more machine-readable formats.The ODM platform serves as the central web portal where government employees, lay citizens, researchers, civic hackers and for-profit companies can search, access, analyze or download and use government data for free.