The authors examine current efforts to develop data policies for the next generation of US remote sensing programmes, noting likely problems based on past experiences. They argue that the goal of US Earth science data policy should be to provide the widest possible dissemination of data. Setting ...
The CNSA worked with Hainan Province to build the two centers. They will give full play to the data policy advantages of the Hainan Free Trade Port, coordinate international cooperation on remote sensing data and its application, support the implementation of the intergovernmental cooperation agreement...
of new roads, etc., which are detectable, by remote sensing. Deforestation, for example, is strongly related to the proximity to forested/deforested edge, the proximity to an access and the degree of fragmentation of forests. Forest fragmentation can be quantified easily fromremote sensing data....
IUCN and MEDIAS-France and hosted by the Woodrow WilsonInternational Center in December 2000, entitled "Remote Sensing and Environmental Treaties:Building More Effective Linkages.1 Support for the workshop was provided by the NASA-funded Socioeconomic Data and Applications Center (SEDAC), which is ma...
Thus, the public access policy of remote sensing data in Taiwan should be revised immediately based on the consideration of the entire social effect. This paper addresses and discusses several legal issues about the public access to remote sensing data, including copyright, open record law, and ...
Rapid communications on remote sensing of the atmosphere, biosphere and cryosphere; geospatial and economic surveying; image processing and geophysical mapping.
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The important thing to remember is that scale is irrelevant when it comes to remote sensing. Its primary benefit is the ability to obtain data about objects that are either inaccessible or effectively intangible, no matter their size. A Magnetic Resonance Imaging (MRI) machine, for example, ...
Agricultural remote sensing data, as general remote sensing data, have all characteristics of big data. The acquisition, processing, storage, analysis and visualization of agricultural remote sensing big data are critical to the success of precision agriculture. This paper overviews available remote ...
Geological mapping Remote sensing Machine learning Supervised classification Spatial clustering Spatial information 1. Introduction Machine learning algorithms (MLAs) use an automatic inductive approach to recognize patterns in data. Once learned, pattern relationships are applied to other similar data in orde...