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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.
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).
SensorThings API [1] is an Open Geospatial Consortium (OGC) standard providing an open and unified framework to interconnect IoT sensing devices, data, and applications over the Web. It is an open standard addressing the syntactic interoperability and semantic interoperability of the Internet of Things.
GEOMS – Generic Earth Observation Metadata Standard [1] is a metadata standard used for archiving data from groundbased networks, like the Network for the Detection of Atmospheric Composition Change (NDACC), [2] and for using this kind of data for the validation of NASA [3] and ESA [4] satellite data.
Free HTTP API Free HTTP API for satellite predictions. JSON and iCal formats. Offered as a "best effort" resource. Spectator, allows real-time tracking and overpass prediction for Earth Observation satellites. It also connects to data APIs, allowing users to get latest images from tracked satellites.
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 ...
Radiant Earth Foundation is an American non-profit organization founded in 2016. [ 1 ] [ 2 ] Its goal is to apply machine learning for Earth observation [ 3 ] to meet the Sustainable Development Goals . [ 4 ]
The Australian Geoscience Data Cube (AGDC) is an approach to storing, processing and analyzing large collections of Earth observation data.The technology is designed to meet challenges of national interest by being agile and flexible with vast amounts of layered grid data.