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FeatureOfInterest: An Observation results in a value being assigned to a phenomenon.The phenomenon is a property of a feature, the latter being the FeatureOfInterest of the Observation. [ 9 ] In addition to the above sensing resources, SensorThings API Part II - Tasking Core defines the following resources: [ 10 ]
MonetDB is an open-source column-oriented relational database management system (RDBMS) originally developed at the Centrum Wiskunde & Informatica (CWI) in the Netherlands.It is designed to provide high performance on complex queries against large databases, such as combining tables with hundreds of columns and millions of rows.
Earth observation (EO) is the gathering of information about the physical, chemical, and biological systems of the planet Earth. [1] It can be performed via remote-sensing technologies (Earth observation satellites) or through direct-contact sensors in ground-based or airborne platforms (such as weather stations and weather balloons, for example).
This new version has an API-centric architecture with functionalities 'off-loaded' to modular components, leaving the API at the core. This makes WorldWind itself a plugin, so that it can be used as interchangeably as possible (for example via Python). This refactoring exercise allows WorldWind to be accessed via a browser as a Java Applet.
The Earth Observing System Data and Information System (EOSDIS) is a key core capability in NASA's Earth Science Data Systems Program. Designed and maintained by Raytheon Intelligence & Space, it is a comprehensive data and information system designed to perform a wide variety of functions in support of a heterogeneous national and international user community.
Radiant Earth also works on a community of practice that develop standards, templates and APIs [6] around machine learning for Earth observation. According to scholar David Lindgren, the foundation "serves to make satellite imagery widely accessible and usable for development practitioners".
The Global Earth Observation System of Systems (GEOSS) was built by the Group on Earth Observations (GEO) on the basis of a 10-Year Implementation Plan running from 2005 to 2015. [1] GEOSS seeks to connect the producers of environmental data and decision-support tools with the end users of these products, with the aim of enhancing the relevance ...
Earth observations are vital for policymaking and assessment in many fields. GEO focuses on facilitating access to Earth observation data for nine priority areas: natural and human-induced disasters, environmental sources of health hazards, energy management, climate change and its impacts, freshwater resources, weather forecasting, ecosystem ...