Intelligent water conservancy map application based on census data and web GIS

Liming Xu; Hongsheng Qian; LingJian Jiang

doi:10.1117/12.2637164

8 May 2022 Intelligent water conservancy map application based on census data and web GIS

Liming Xu, Hongsheng Qian, LingJian Jiang

Proceedings Volume 12249, 2nd International Conference on Internet of Things and Smart City (IoTSC 2022）; 122491V (2022) https://doi.org/10.1117/12.2637164
Event: 2022 2nd International Conference on Internet of Things and Smart City (IoTSC 2022）, 2022, Xiamen, China

Abstract

Based on the results of water conservancy census data, this paper makes full use of two-dimensional vector data and shows water conservancy data in one map. It also comprehensively uses geographic information and data service integration to comprehensively manage and use water conservancy data in multiple time, space and regions. The use of Web GIS technology effectively improves the management, statistics and summary of water conservancy census data, and provides standardized, efficient, abundant functions for quickly establishing water conservancy application system. The integration of water conservancy information resources based on one map can improve the application level and management ability of water conservancy data, and meet the function and performance requirements of public service of water conservancy spatial information.

Citation Download Citation

Liming Xu, Hongsheng Qian, and LingJian Jiang "Intelligent water conservancy map application based on census data and web GIS", Proc. SPIE 12249, 2nd International Conference on Internet of Things and Smart City (IoTSC 2022）, 122491V (8 May 2022); https://doi.org/10.1117/12.2637164

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