2013Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIERequires access

Research and design of drought remote sensing monitoring system based on the ArcGIS Geoprocessing

Yongjin Xu, Shiqi Yang, Yanghua Gao

Open publisher page 1 citations

Abstract

It is a simple and efficient way to complete the custom program according to the GIS spatial analysis function supported by ArcGIS Geoprocessing. In this paper, the ArcGIS Geoprocessing technology based on the plug-in GIS Secondary development is used to build the drought remote sensing monitoring system. The 2006 drought data in Chongqing was processed as an example for this system, and drought monitoring models suitable for Chongqing were selected. Compared to the traditional manual processing, the system’s automation degree has been greatly improved and enhanced, which can accurate decision-making basis for the relevant departments.

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What this paper is about

It is a simple and efficient way to complete the custom program according to the GIS spatial analysis function supported by ArcGIS Geoprocessing. In this paper, the ArcGIS Geoprocessing technology based on the plug-in GIS Secondary development is used to build the drought remote sensing monitoring system. The 2006 drought data in Chongqing was processed as an example for this system, and drought monitoring models suitable for Chongqing were selected. Compared to the traditional manual processing, the system’s automation degree has been greatly improved and enhanced, which can accurate decision-making basis for the relevant departments.

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Available abstract

It is a simple and efficient way to complete the custom program according to the GIS spatial analysis function supported by ArcGIS Geoprocessing. In this paper, the ArcGIS Geoprocessing technology based on the plug-in GIS Secondary development is used to build the drought remote sensing monitoring system. The 2006 drought data in Chongqing was processed as an example for this system, and drought monitoring models suitable for Chongqing were selected. Compared to the traditional manual processing, the system’s automation degree has been greatly improved and enhanced, which can accurate decision-making basis for the relevant departments.

Key concepts: Geoprocessing, Remote sensing, Computer science, ArcGIS Server, Geology, Server, World Wide Web, Client–server model

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