A research on analysis method of land environment big data storage based on air-earth-life

Yanling Lu; Jingwen Li

doi:10.1117/12.2207675

9 December 2015 A research on analysis method of land environment big data storage based on air-earth-life

Yanling Lu, Jingwen Li

Proceedings Volume 9808, International Conference on Intelligent Earth Observing and Applications 2015; 98081I (2015) https://doi.org/10.1117/12.2207675
Event: International Conference on Intelligent Earth Observing and Applications, 2015, Guilin, China

Abstract

Many problems of land environment in urban development, with the support of 3S technology, the research of land environment evolved into the stage of spatial-temporal scales. This paper combining space, time and attribute features in land environmental change, with elements of "air-earth-life" framework for the study of pattern, researching the analysis method of land environment big data storage due to the limitations of traditional processing method in land environment spatial-temporal data, to reflect the organic couping relationship among the multi-dimensional elements in land environment and provide the theory basis of data storage for implementing big data analysis application platform in land environment.

Citation Download Citation

Yanling Lu and Jingwen Li "A research on analysis method of land environment big data storage based on air-earth-life", Proc. SPIE 9808, International Conference on Intelligent Earth Observing and Applications 2015, 98081I (9 December 2015); https://doi.org/10.1117/12.2207675

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available