From: hogrefek@geo.oregonstate.edu
Date: February 21, 2009 2:34:33 PM PST
To: Joyce Miller <Joyce.Miller@noaa.gov>
Cc: Scott Ferguson <Scott.Ferguson@noaa.gov>, John Rooney <John.Rooney@noaa.gov>, Jonathan Weiss <Jonathan.Weiss@noaa.gov>, Frances Lichowski <Frances.Lichowski@noaa.gov>, Tomoko Acoba <Tomoko.Acoba@noaa.gov>, Dawn@science.oregonstate.edu, Deepsea <dawn@dusk.geo.orst.edu>
Subject: Re: Tinian Deliverable LiDAR Update

In the zip file you will find:

2 MS Word file:
Mau_ErrorAnalysis

4 ESRI Grid files (in their own folder):
mau_dball: final mosaic of 2 derived bathy products.
mau_dball_err: error grid, Error = Sonar depth - derived depth
mau_dbmb_5m: mosaic of the 5m multibeam sonar grid and the the DB mosaic.
mau_dbmb_10m: mosaic of the 10m multibeam sonar grid and the the DB mosaic.

3 Text (metadata) files:
Mau_DBall_metadata
Mau_DBMB_5m_metadata
Mau_DBMB_10m_metadata

15 PDF files:
All Data Derived from Image Mau016
Maug_Base5mDB: Product DB, 5m multibeam - derived with original MLR variables.
Maug_Base5mDB1: Product DB1, 5m multibeam - derived with reduced Y-int value.
Maug_Base5mDB3: Product DB3, 5m multibeam - derived with reduced slope values.
Maug_Base5mDBDB1_mos: Mosaic of 5m Products DB and DB1
Maug_Base10mDB: Product DB, 10m multibeam - derived with original MLR variables.
Maug_Base10mDB1: Product DB1, 10m multibeam - derived with reduced Y-int value.
Maug_Base10mDB2: Product DB2, 10m multibeam - derived with reduced slope values.
Maug_Base10mDBDB1_mos: Mosaic of 10m Products DB and DB1
Maug_Base10mDBDB2_mos: Mosaic of 10m Products DB and DB2
Maug_DBall_Base5m: Mosaic of 5m Products DB and DB3 (Most accurate DB mosaic renamed)
Maug_DBall_Error: Error grid (file: mau_dball_err)
Maug_DBMB_5m: Mosaic of derived and multibeam bathy (file: mau_dbmb_5m)
Maug_DBMB_10m: Mosaic of derived and multibeam bathy (file: mau_dbmb_10m)
Maug_AddCoverage_5m: Basically the 5m DB/MB mosaic with the derived bathy highlighted
Maug_AddCoverage_10m: Basically the 10m DB/MB mosaic with the derived bathy highlighted

Enjoy. Statistically speaking the results are right in the middle between the Asuncion and Tinian (or Ofu-Olosega) products. Good depth representation and you can pick out terrain features, but not very crisp.