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

Dayong Shen, Meixia Deng, Liping Di, Weiguo Han, Chunming Peng, Ali Levent Yagci, Genong Yu, Zeqiang Chen

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

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.

Original languageEnglish
Pages (from-to)66-74
Number of pages9
JournalComputers and Geosciences
Volume54
DOIs
StatePublished - Apr 2013
Externally publishedYes

Keywords

  • BigTIFF
  • GDAL
  • MODIS
  • NDVI
  • On-demand
  • WCS
  • WMS

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