Differences between revisions 11 and 12
Revision 11 as of 2013-05-03 23:41:25
Size: 1668
Comment: - clean up a little
Revision 12 as of 2013-05-05 00:10:10
Size: 3701
Comment: - make some progress on the proposal
Deletions are marked like this. Additions are marked like this.
Line 4: Line 4:
HotdoG project is to convert HDF/HDF-EOS format into GeoTIFF format. The HotdoG project is an effort and suite of tools to convert HDF/HDF-EOS format into GeoTIFF format. This the first of a potential series of incoming projects originating from the HDF Group, Inc -- the organization is interested in evaluating the ASF as a potential home for many of its projects. HDF Group, Inc. is an independently funded organization that started many years ago with major investment from NASA as the Hierarchical Data Format (HDF), version 4 and now version 5, is the de facto remote sensing data format for NASA missions, and an increasing number of other disciplines including biomedicine; radio astronomy, climate science, and other domains.

HDF is both a data and metadata format, as well as a model for representing and access information. There are numerous downstream tools that can read and write HDF data, including a growing number of Geospatial data tools (ESRI-based, and also OpenGeo and other community led efforts). In addition, major interoperability efforts are also occurring between the remote sensing community and the climate modeling community (which has traditionally favored NetCDF as opposed to HDF) because of the efforts in HDF-5 to leverage a common data format and model.

HotdoG is poised to be a first of its kind in the form of bringing one of the major 2 data formats for science to the ASF (the other being the NetCDF format).
Line 7: Line 11:
HotdoG is a converter that converts Earth Science data in HDF/HDF-EOS format into GeoTIFF format. HotdoG is a software converter that converts Earth Science data in HDF/HDF-EOS format into GeoTIFF format. Doing so easily enables users of remote sensing data to interoperate with common GIS tools (like WebGIS, Web Processing, image analysis, and geo computational tools). We feel that the project is an incremental step, and an appropriate focus with tangible success possibilities by restraining our focus to HDF/HDF-EOS to GeoTIFF conversion.

There are numerous interesting paths that we can take the toolkit in -- as conversion from remotely sensed data to GeoTIFF involves ensuring that the HDF-EOS metadata elements can be appropriately represented using GeoTIFF headers, and the associated format. Furthermore, capturing the HDF's appropriate geo datum in GeoTIFF will be another important challenge.

Abstract

The HotdoG project is an effort and suite of tools to convert HDF/HDF-EOS format into GeoTIFF format. This the first of a potential series of incoming projects originating from the HDF Group, Inc -- the organization is interested in evaluating the ASF as a potential home for many of its projects. HDF Group, Inc. is an independently funded organization that started many years ago with major investment from NASA as the Hierarchical Data Format (HDF), version 4 and now version 5, is the de facto remote sensing data format for NASA missions, and an increasing number of other disciplines including biomedicine; radio astronomy, climate science, and other domains.

HDF is both a data and metadata format, as well as a model for representing and access information. There are numerous downstream tools that can read and write HDF data, including a growing number of Geospatial data tools (ESRI-based, and also OpenGeo and other community led efforts). In addition, major interoperability efforts are also occurring between the remote sensing community and the climate modeling community (which has traditionally favored NetCDF as opposed to HDF) because of the efforts in HDF-5 to leverage a common data format and model.

HotdoG is poised to be a first of its kind in the form of bringing one of the major 2 data formats for science to the ASF (the other being the NetCDF format).

Proposal

HotdoG is a software converter that converts Earth Science data in HDF/HDF-EOS format into GeoTIFF format. Doing so easily enables users of remote sensing data to interoperate with common GIS tools (like WebGIS, Web Processing, image analysis, and geo computational tools). We feel that the project is an incremental step, and an appropriate focus with tangible success possibilities by restraining our focus to HDF/HDF-EOS to GeoTIFF conversion.

There are numerous interesting paths that we can take the toolkit in -- as conversion from remotely sensed data to GeoTIFF involves ensuring that the HDF-EOS metadata elements can be appropriately represented using GeoTIFF headers, and the associated format. Furthermore, capturing the HDF's appropriate geo datum in GeoTIFF will be another important challenge.

Background

Rationale

The HEG tool is limited to some NASA HDF-EOS2 products and it is not an open-source tool. The latest GDAL (version 1.9.2 and above) is an open-source tool but it cannot handle many non-HDF-EOS NASA HDF products such as TRMM (pure HDF4) and Aquarius (pure HDF5) correctly with correct coordinate system.

Initial Goals

We'll improve GDAL to support NASA HDF products better by handling geo-location information correctly and automatically.

Current Status

We're looking for developers and sponsors.

Meritocracy

Community

GIS and Earth Science

Core developers

  • H. Joe Lee <hyoklee AT hdfgroup DOT org>

Alignment

Known Risks

Documentation

External Dependencies

  • GDAL
  • HDF-EOS2 / HDF-EOS5
  • HDF4 / HDF5

Required Resources

Mailing List

  • hotdog-private (with moderated subscription)
  • hotdog-dev
  • hotdog-commits

Issue Tracking

JIRA HotdoG (HotdoG)

Other Resources

Initial Committers

Affiliations

  • H. Joe Lee (The HDF Group)
  • Mike Folk (The HDF Group)
  • Paul Ramirez (NASA JPL)
  • Chris Mattmann (NASA JPL)

Champion

  • Paul Ramirez <paul DOT m DOT ramirez AT jpl DOT nasa DOT gov>

Nominated Mentors

  • Chris Mattmann
  • Paul Ramirez

Sponsoring Entity

Apache Incubator

HotdoGProposal (last edited 2013-06-09 03:39:00 by PaulRamirez)