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

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.

Architecture of the system for generation and sharing of on-demand global seamless data.Figure optionsDownload as PowerPoint slideHighlights
► We propose an approach to efficiently generate and share on-demand global data.
► GDAL and BigTIFF technology have been applied in the system.
► The system has been well optimized.
► We create Virtual WMS and Virtual WCS.
► We prove the feasibility, efficiency and features of the proposed approach.