---------classification of rock (hard) areas-------------texsig created the following signature files: hirock.xyz starting line: 1847 starting sample: 2011 ending line: 1856 ending sample: 2020 hirock2.xyz starting line: 1713 starting sample: 1984 ending line: 1722 ending sample: 1993 hirock3.xyz starting line: 2642 starting sample: 4125 ending line: 2643 ending sample: 4127 hirock4.xyz starting line: 2470 starting sample: 3815 ending line: 2471 ending sample: 3817 hirock5.xyz starting line: 2445 starting sample: 4316 ending line: 2446 ending sample: 4317 texclass signature files: hirock.xyz hirock2.xyz hirock3.xyz hirock4.xyz hirock5.xyz range limit: 6 percentage of habitat defined: 22.7, assigned DN = 255 output image file: sanp1mhirock3.img transferred to desktop for editing noise with photoshop opened sanp1mhirock3.img in photoshop with sanp1m.tif as background sanp1mhirock3.img set to 50 percent transparency with layer mask to paint out noise with black with noise satisfactorily painted, out applied layer mask to remove noise saved edited layer as sanp1mhirock3f.img sanp1mhirock3f.img transferred to rouse
-----------classification of soft areas-------------------texsig created the following signature files: mud1.xyz starting line: 1546 starting sample: 909 ending line: 1555 ending sample: 918 mud2.xyz starting line: 1505 starting sample: 932 ending line: 1514 ending sample: 941 mud3.sig starting line: 771 starting sample: 1267 ending line: 780 ending sample: 1276 mud4.sig starting line: 709 starting sample: 5812 ending line: 718 ending sample: 5821 texclass signature files: mud1.xyz mud2.xyz mud3.xyz mud4.sig range limit: 5 percentage of habitat defined: 334.1, assigned DN = 255 output image file: sanp1mmud5.img transferred to desktop for editing noise with photoshop opened sanp1mmud3.img in photoshop with sanp1m.tif as background sanp1mmud5.img set to 50 percent transparency with layer mask to paint out noise with black with noise satisfactorily painted out, applied layer mask to remove noise saved edited layer as sanp1mmud5f.img sanp1mmud5f.img transferred to rouse
-----------classification of mixed areas-------------------Due to high levels of noise in this mosaic, attempts to classify mixed areas using texclass were unsatisfactory. Texclass consistently produced classification of mixed areas that included large amounts of nadir- and edge-noise as well as other bottom types, especially rocky (hard), as mixed. Therefore, at this point all areas not classifying as hard or soft are considered mixed.
-----------------------------Nadine Golden started here-----------------------------------------//Created grids and polygons from image files from Jamie Conrad. 1. Converted image to grids in ArcInfo using imagegrid command immagegrid sanp1mmud5f.tif sanp1msoft1g immagegrid sanp1mrock.tif sanp1mrock1g 2. Converted grids to polygons for editing using ArcGIS Spatial Analysis Extension option: Rasture to Feature. sanp1msoft1g --> sanp1msoft1p sanp1mrock1g --> sanp1mrock1p 3. Created a back layer for all other data. In this data set the all data layer was set to 170 gridcode to represent mixed areas. 4. Edited, cleaned, polygons -reclassified noise areaas that appeared in new mixed area but the good data shows that these areas should be soft bottom not mixed. Creted another back layer for the upper north west corner to classify mixed areas as half way between mixed and soft, gridcode equal to 128. for the bottom of the data set, the noise classified as mixed was reclassified as soft--also due to what good data shows. 5. Converted all edited polygons back to grids using ArcGIS Spatial Analysis Extension option: Feature to Rasture.
-------------------------------------------------------------------------------------------//Merged final grids to make one grid of all layers 1. Merged all grids in Spatial Analyst tool Raster Calculator -set option to Extent-->union of inputs. -used the merge command in raster calculator dialogue box: sanp1mhab1g = merge([sanp1mrock4g],[sanp1msoft1g],[sanp1mmxsft1g],[sanp1mix1g])
-------------------------------------------------------------------------------------------//Filtered grid to decrease polygon total steps: 1. Filtered original grid two time using the "low" filter default: filter sanp1mhab13g sanp1mhab13g filter sanp1mhab13g sanp1mhab13g 2. Used spatial anlysis reclassification option to reclassify new with remap categories: 1 128 : 85 129 189 : 170 190 255 : 255 3. Used Toolbox Raster to Features: converted new grid to polygon shapefile new polygon shapefile: polygons original polygon shapefile: polygons
sanahab Fields: NAME ALIAS TYPE LENGTH PRECISION SCALE NUMBER_FORMAT ID ID Double 10 10 0 Numeric GRIDCODE GRIDCODE Double 10 10 0 Numeric CODE CODE String 10 10 0 - MEGA_ID MEGA_ID String 5 0 0 - MSO_MRC_ID MSO_MRC_ID String 5 0 0 - MDFR_ID MDFR_ID String 5 0 0 - BOTTOM_ID BOTTOM_ID String 5 0 0 - GEO_UNIT GEO_UNIT String 50 0 0 - Area Area Double 19 18 11 NumericBenthic habitat classification attributes: megahabitat, bottom induration, meso-macrohabitat, and modifiers from Green and others, 1999. CODE is a combination of the habitat attributes. MEGA_ID is usually S for Shelf, but may be F for basin or canyon flank. BOTTOM_ID is h for hard bottom, m for mixed hard and soft bottom, or s for soft sediment bottom MSO_MRC_ID are visual observations when sand waves (w) were observed. These macrohabitats described in Greene and others 1999. MDFR_ID are modifiers to describe the texture or lithology of the seafloor and appear in the code preceded by an underscore (_). Including; fractured (_f), differently eroded (_d), kelp (_k), and limestone (_l)