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Integrating Multi-source Imagery Data in a Gis System : Volume Xl-7/W1, Issue 1 (12/07/2013)

By Liu, Q.

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Book Id: WPLBN0004015756
Format Type: PDF Article :
File Size: Pages 5
Reproduction Date: 2015

Title: Integrating Multi-source Imagery Data in a Gis System : Volume Xl-7/W1, Issue 1 (12/07/2013)  
Author: Liu, Q.
Volume: Vol. XL-7/W1, Issue 1
Language: English
Subject: Science, Isprs, International
Collections: Periodicals: Journal and Magazine Collection, Copernicus Publications
Publication Date:
Publisher: Copernicus Publications, Göttingen, Germany
Member Page: Copernicus Publications


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Liu, Q. (2013). Integrating Multi-source Imagery Data in a Gis System : Volume Xl-7/W1, Issue 1 (12/07/2013). Retrieved from

Description: Environmental System Research Institute (Esri) Redlands, CA, USA. More and more volumes of high quality imagery data are becoming available than ever and it brings a challenge to the industry on how to integrate data from multi-sources effectively and timely to extract information of improved accuracy for a widespread field of applications. Over the past decade, we have witnessed the advance of tightening integration of imagery data in a GIS system. Imagery data takes advantage of the geodatabase management architecture and enriches the GIS system. Empowered with intuitive user interface and advanced tools, ArcGIS provides a great platform for one-stop integration of multi-source, multi-resolution, and multi-temporal imagery data with pre-processing, managing, visualizing, analyzing and sharing functionalities. This paper will discuss some of the core imagery capabilities in ArcGIS including interactive and automatic data correction and registration, intelligent and versatile data models for data crawling, on-the-fly data processing, and data disseminating.



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