IN33B-3774:
Developing a middleware to support HDF data access in ArcGIS

Wednesday, 17 December 2014
Min Sun, Yunfeng Jiang and Chaowei Phil Yang, George Mason University Fairfax, Fairfax, VA, United States
Abstract:
Hierarchical Data Format (HDF) is the standard data format for the NASA Earth Observing System (EOS) data products, like the MODIS level-3 data. These data have been widely used in long-term study of the land surface, biosphere, atmosphere, and oceans of the Earth. Several toolkits have been developed to access HDF data, such as the HDF viewer and Geospatial Data Abstraction Library (GDAL), etc. ArcGIS integrated the GDAL providing data user a Graphical User Interface (GUI) to read HDF data. However, there are still some problems when using the toolkits:for example, 1) the projection information is not recognized correctly, 2) the image is dispalyed inverted, and 3) the tool lacks of capability to read the third dimension information stored in the data subsets, etc. Accordingly, in this study we attempt to improve the current HDF toolkits to address the aformentioned issues. Considering the wide-usage of ArcGIS, we develop a middleware for ArcGIS based on GDAL to solve the particular data access problems happening in ArcGIS, so that data users can access HDF data successfully and perform further data analysis with the ArcGIS geoprocessing tools.