<div dir="ltr"><div dir="ltr"><div>Hello!</div><div>I am trying to georeference an US Army map of
northern Haiti made from aerial photographs taken in 1942 and 1944 using
`gdal_translate` and `gdalwarp`. I need a sanity check because this is
impossible, and so I'm asking for help. Here is the map from Lib. of
Congress (<a href="https://www.loc.gov/resource/g4940m.gct00206/?sp=160&r=0.365,0.623,0.281,0.173,0" target="_blank">https://www.loc.gov/resource/g4940m.gct00206/?sp=160&r=0.365,0.623,0.281,0.173,0</a>).<br><br>The map info states, <br>```<br>Horizontal Datum is based on the following astronomic values:<br>Fort Islet Lighthouse Lat. 18°33'31.33", Long. 72°20'59.03"<br>Santo Domingo Lighthouse Lat. 18°27'53.64", Long. 69°52'52.74"<br>Cape Dame Marie Astro Lat. 18°36'47", Long. 74°25'53"<br>Extensions of control from Astronomic Positions have been made by multiplex triangulation.<br><br>One thousand meter Universal Transverse Mercator grid, Clarke 1866 spheroid, zone 18.<br>```<br>I asked something similar in 2017 (<a href="https://gis.stackexchange.com/questions/255830/which-epgs-code-is-the-actual-crs-in-this-geopdf" target="_blank">https://gis.stackexchange.com/questions/255830/which-epgs-code-is-the-actual-crs-in-this-geopdf</a>),
but the advice doesn't seem directly applicable (even after adding the
missing `towgs84` parameter). The two mapes portray the same geographic
content, but the grids are pretty different with about ~1,000 meter
offset. I guess this is because the map was projected with a custom (??)
datum, and not NAD27?<br><br>The very best accuracy to WGS84 I've been
able to get with the 1st edition LOC map is ~1,000 meters offset. I
think there must be some transformation involved, but it isn't clear to
me at what point in the process. Should the Eastings and Northings in
the map be transformed and use those transformed values as GCPs? Or
should the GCPs use the grid values and some transform happen later? Or
should is this just a really elusive horizontal datum... <br></div><div><br></div><div>I've tried everything I can think of. Here is a starter using lat long GCP points on the LOC map image.<br></div><div>```<br>gdal_translate
-gcp 627.457814 517.220980 -72.25 19.666667 -gcp 8893.0877 517.331604
-72 19.666667 -gcp 8888.9205 6312.2196 -72 19.5 -gcp 623.864944
6314.5746 -72.25 19.5 -of GTiff "GRN.tif" "GRN_gcps_latlong.tif"`<br><br>gdalwarp
-order 1 -r bilinear -s_srs '+proj=longlat +ellps=clrk66' -t_srs
'+proj=utm +zone=18 +ellps=clrk66 +towgs84=-13,-95,-197,0,0,0,0 +units=m
+no_defs' GRN_gcps_latlong.tif GRN_projectedtif<br>```<br></div><div>If you prefer, here it is with 10+ GCPs using the map's grid.</div><div>```<br>gdal_translate
-of GTiff -gcp 730.736 6110.949 789000 2158000 -gcp 736.387 5795.335
789000 2159000 -gcp 741.696 5481.115 789000 2160000 -gcp 747.267
5165.909 789000 2161000 -gcp 821.443 766.88 789000 2175000 -gcp 816.24
1078.971 789000 2174000 -gcp 811.211 1394.578 789000 2173000 -gcp
6501.597 551.782 807000 2176000 -gcp 6185.673 547.045 806000 2176000
-gcp 4288.393 829.835 800000 2175000 -gcp 3975.028 824.02 799000 2175000
-gcp 3658.991 818.975 798000 2175000 -gcp 3344.584 813.972 797000
2175000 -gcp 3027.108 809.96 796000 2175000 -gcp 2711.015 805.008 795000
2175000 -gcp 2397.12 800.185 794000 2175000 -gcp 4283.082 1142.947
800000 2174000 -gcp 3969.927 1137.041 799000 2174000 -gcp 3653.994
1131.957 798000 2174000 -gcp 3339.13 1126.642 797000 2174000 -gcp
3021.555 1121.964 796000 2174000 -gcp 2706.024 1116.956 795000 2174000
-gcp 4272.358 1768.053 800000 2172000 -gcp 3959.532 1762.746 799000
2172000 GRN.tif GRN_gcps.tif</div><div>```<br></div><div>I am indebted for any help to solve this!</div><font color="#888888"><font color="#888888"><div></div><div><br></div><br><span class="gmail_signature_prefix">-- </span><br><div dir="ltr" class="gmail_signature"><div dir="ltr"><div><span style="color:rgb(0,0,0)">Landon Yarrington, Ph.D.<br></span></div><div><span style="color:rgb(0,0,0)">Colorado State University</span></div><div><span style="color:rgb(0,0,0)">Department of Anthropology and Geography</span></div><div><span style="color:rgb(0,0,0)">Andrew G. Clark Bldg, 301 University Ave #219<br></span></div><div><span style="color:rgb(0,0,0)">Fort Collins, CO 80521</span></div><div><span style="color:rgb(0,0,0)">USA</span></div></div></div></font></font></div></div>