Big Earth data: disruptive changes in Earth observation data management and analysis?
نویسندگان
چکیده
منابع مشابه
Web Services for Big Earth Observation data
The aim of geospatial web services is to enable users to share and process geospatial data on the Web, no matter what platform or protocol is used. In this paper, we investigate what are the design decisions needed to implement web services for big Earth observation (EO) data. The focus of the work is discussing what is unique about big EO data and why current standards are unsuitable for big E...
متن کاملEarth Observation Data Processing in Distributed Systems
Earth observation systems have a continuous growth in the user and internal requirements that can be handled nowadays only using distributed systems. These requirements are shortly reviewed in this paper. Huge data-sets management and processing are of special interest, as well as the particularities of the Earth observation data. On the technological side, the focus is put on service-oriented ...
متن کاملData Mining and Knowledge Discovery Tools for Exploiting Big Earth Observation Data
The continuous increase in the size of the archives and in the variety and complexity of Earth-Observation (EO) sensors require new methodologies and tools that allow the end-user to access a large image repository, to extract and to infer knowledge about the patterns hidden in the images, to retrieve dynamically a collection of relevant images, and to support the creation of emerging applicati...
متن کاملOptical Data Downlinks from Earth Observation Platforms
The increasing resolution of earth observation sensors will require much higher data rates for the data downlink in future than is feasible with conventional RF-technology. This applies for earth observation satellites as well as for aeronautic observation platforms, such as aircraft or stratospheric high altitude platforms. The most promising solution for this data downlink bottleneck is the a...
متن کاملImmersive Visual Analytic of Earth Observation Data
New trends in exploration and visualization are highly demanded in dealing with the massive amount of collected Earth Observation (EO) data. In this work, we propose an immersive visual analytic of EO data utilizing Virtual Reality technology. Precisely, we introduce the visualization of large scale SAR images in an immersive 3D environment and also introduce an interactive learning algorithm f...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Digital Earth
سال: 2019
ISSN: 1753-8947,1753-8955
DOI: 10.1080/17538947.2019.1585976