Project Milestones (GIS tools for reading HDF-EOS)
- Wrote Python code to read in HDF-EOS data.
- Successfully able to read and then write HDF-EOS data to a new format that is “GIS ready.” The code can read in HDF-EOS data and write it out in ASCII format, which can then be converted to an ESRI GRID using ArcGIS. The GRID can then be converted to a number of other raster data formats (ESRI Grid, Imagine Image (ERDAS), GeoTIFF, Bitmap, JPEG, PNG, GIF, and native binary). This completes the bulk of the feasibility and prototype design of the Conversion Tool. Packaging the code into user friendly tools, buttons, and menus and customizing the code to handle different HDF-EOS data (e.g from different satellite platforms; only MODIS has been tested) will complete development.
- We are in the process of learning the ins and outs of HDF 4 versus HDF 5. Before the end of this project we will be able to read the most current HDF-EOS format and write it to other formats that are more GIS-compatible.
- We are able to access HDF geolocation and time information using Python, but we are still working on a process to automatically recognize the projection of an HDF-EOS file and pass it to ArcGIS. For example when working with an HDF file from MODIS, ArcGIS should automatically define a native sinusoidal projection without the user having to dig through the HDF metadata.
- The geotransformation tool has been conceptualized and modeled in ArcGIS Model Builder. This model will serve as the basis for our programming.
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