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Towards a Framework for Offering Remote Sensing Data in an Analysis-Ready Format
- Source :
- IGARSS
- Publication Year :
- 2018
- Publisher :
- IEEE, 2018.
-
Abstract
- Diverse storage formats, archive dispersal, and inconsistent naming make it difficult for researchers and the general public to find and access remote sensing data. To facilitate the use of remote sensing data, this paper provides an integrated framework for direct reading remote sensing data in a widely compatible and analysis-ready format, NumPy ndarray. The framework is composed of two main components. One is the raster data processing and storage model. All the operational gridded remote sensing data are split into tiles, and reorganized in n-dimensional array. Then the N-Dimensional data array is serialized into netCDF and stored into distributed file system. The other is the spatiotemporal filter to achieve parallel query, and it has been encapsulated into Internet-accessible application programming interfaces (APIs). The scenario of calculating NDVI of a specified spatiotemporal range given at last illustrate the efficiency and convenience of our platform provided for remote sensing data analysis.
- Subjects :
- NetCDF
Application programming interface
Computer science
NumPy
0211 other engineering and technologies
Array data type
02 engineering and technology
computer.file_format
01 natural sciences
Storage model
Normalized Difference Vegetation Index
Data modeling
Raster data
Remote sensing (archaeology)
0103 physical sciences
010303 astronomy & astrophysics
computer
021101 geological & geomatics engineering
Remote sensing
computer.programming_language
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
- Accession number :
- edsair.doi...........67e3c68e1ad620e9130044b0d011e343