Automated batch processing of mass remote sensing and geospatial data to meet the needs of end users

Author

Zhao, Jianjun ; Wang, Yeqiao ; Zhang, Hongyan

Author_Institution

Sch. of Urban & Environ. Sci., Northeast Normal Univ., Changchun, China

fYear

2011

fDate

24-29 July 2011

Firstpage

3464

Lastpage

3467

Abstract

In this paper we describe a framework of GIS-based system for automated processing of mass remote sensing and geospatial data products as a step in preparation of data for the needs of end users. In particular we employed the GDAL data model and python and GDAL Library to convert HDF5 format data into standard GIS format. We then batch processed all the data to a targeted data type using python coding. Finally we integrated all related statistics of the data into Microsoft Excel worksheet files or ASCII files use the C# programming language.

Keywords

geographic information systems; geophysics computing; remote sensing; ASCII files; C programming language; GDAL data model; GDAL library; GIS-based system; HDF5 format data; Microsoft Excel worksheet files; automated batch processing; geospatial data; mass remote sensing; python coding; standard GIS format; Batch production systems; Data mining; Data processing; Encoding; Geospatial analysis; Libraries; Remote sensing; Appalachian Trail; GDAL; HDF5; Mass remote sensing data; TOPS;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International

Conference_Location

Vancouver, BC

ISSN

2153-6996

Print_ISBN

978-1-4577-1003-2

Type

conf

DOI

10.1109/IGARSS.2011.6049966

Filename

6049966