Version 1
: Received: 8 April 2024 / Approved: 8 April 2024 / Online: 9 April 2024 (11:15:37 CEST)
How to cite:
Carrara, P.; Bordogna, G.; De Carolis, G. Spatial Data Infrastructure for Remote Sensing: A Comprehensive Analysis. Preprints2024, 2024040593. https://doi.org/10.20944/preprints202404.0593.v1
Carrara, P.; Bordogna, G.; De Carolis, G. Spatial Data Infrastructure for Remote Sensing: A Comprehensive Analysis. Preprints 2024, 2024040593. https://doi.org/10.20944/preprints202404.0593.v1
Carrara, P.; Bordogna, G.; De Carolis, G. Spatial Data Infrastructure for Remote Sensing: A Comprehensive Analysis. Preprints2024, 2024040593. https://doi.org/10.20944/preprints202404.0593.v1
APA Style
Carrara, P., Bordogna, G., & De Carolis, G. (2024). Spatial Data Infrastructure for Remote Sensing: A Comprehensive Analysis. Preprints. https://doi.org/10.20944/preprints202404.0593.v1
Chicago/Turabian Style
Carrara, P., Gloria Bordogna and Giacomo De Carolis. 2024 "Spatial Data Infrastructure for Remote Sensing: A Comprehensive Analysis" Preprints. https://doi.org/10.20944/preprints202404.0593.v1
Abstract
This paper reviews recent literature on Spatial Data Infrastructure (SDI) for remote sensing, aiming to provide a comprehensive analysis of the state-of-the-art practices, challenges, and future directions. It also tries to find out if current projects and initiatives involving the exploitation of satellite remote sensing are still framed in the SDI concepts.
Keywords
spatial data infrastructure; remote sensing
Subject
Environmental and Earth Sciences, Remote Sensing
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.