Study on generation and sharing of on-demand global seamless data-Taking MODIS NDVI as an example

Authors:
Dayong Shen;Meixia Deng;Liping Di;Weiguo Han;Chunming Peng;Ali Levent Yagci;Genong Yu;Zeqiang Chen
Affiliations:
Center for Spatial Information Science and Systems (CSISS), George Mason University, Fairfax, VA 22030, USA;Center for Spatial Information Science and Systems (CSISS), George Mason University, Fairfax, VA 22030, USA;Center for Spatial Information Science and Systems (CSISS), George Mason University, Fairfax, VA 22030, USA;Center for Spatial Information Science and Systems (CSISS), George Mason University, Fairfax, VA 22030, USA;Center for Spatial Information Science and Systems (CSISS), George Mason University, Fairfax, VA 22030, USA;Center for Spatial Information Science and Systems (CSISS), George Mason University, Fairfax, VA 22030, USA;Center for Spatial Information Science and Systems (CSISS), George Mason University, Fairfax, VA 22030, USA;Center for Spatial Information Science and Systems (CSISS), George Mason University, Fairfax, VA 22030, USA
Venue:
Computers & Geosciences
Year:
2013

Citing 6
Cited 0

Service-Oriented Computing: Key Concepts and Principles

IEEE Internet Computing
Validity of the single processor approach to achieving large scale computing capabilities

AFIPS '67 (Spring) Proceedings of the April 18-20, 1967, spring joint computer conference
Sharing geoscience algorithms in a Web service-oriented environment (GRASS GIS example)

Computers & Geosciences
Integration of MODIS LAI and vegetation index products with the CSM-CERES-Maize model for corn yield estimation

International Journal of Remote Sensing
Remote sensing classification of grass seed cropping practices in western Oregon

International Journal of Remote Sensing
CropScape: A Web service based application for exploring and disseminating US conterminous geospatial cropland data products for decision support

Computers and Electronics in Agriculture

Quantified Score

Hi-index	0.00

Visualization

Abstract

By applying advanced Geospatial Data Abstraction Library (GDAL) and BigTIFF technology in a Geographical Information System (GIS) with Service Oriented Architecture (SOA), this study has derived global datasets using tile-based input data and implemented Virtual Web Map Service (VWMS) and Virtual Web Coverage Service (VWCS) to provide software tools for visualization and acquisition of global data. Taking MODIS Normalized Difference Vegetation Index (NDVI) as an example, this study proves the feasibility, efficiency and features of the proposed approach.