20220707
09543100
1.0
ISO 19139 Metadata Implementation Specification GML3.2
FALSE
CreateMosaicDataset G:\STAGING\rebuild\SMA900\sfa521.gdb MDB_STAND_CONDITION_RASTERS_SMA900 "GEOGCS['GCS_WGS_1984',DATUM['D_WGS_1984',SPHEROID['WGS_1984',6378137.0,298.257223563]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]];-400 -400 1000000000;-100000 10000;-100000 10000;8.98315284119521E-09;0.001;0.001;IsHighPrecision" 1 8_BIT_UNSIGNED NONE #
SetMosaicDatasetProperties G:\STAGING\rebuild\SMA900\sfa521.GDB\MDB_STAND_CONDITION_RASTERS_SMA900 15000 15000 LERC;None;JPEG;LZ77 LERC 75 0.1 NEAREST NOT_CLIP FOOTPRINTS_MAY_CONTAIN_NODATA CLIP NOT_APPLY # None NorthWest;Center;LockRaster;ByAttribute;Nadir;Viewpoint;Seamline;None NorthWest # # ASCENDING FIRST 10 600 300 100 0.8 "2.69494585235856E-04 2.69494585235856E-04" FULL Name;MinPS;MaxPS;LowPS;HighPS;Tag;GroupName;ProductName;CenterX;CenterY;ZOrder;Shape_Length;Shape_Area DISABLED # # # GDA_1994_To_GDA2020_NTv2_2_Conformal_and_Distortion 100 1000 GENERIC 1 None None # # NONE #
SetRasterProperties G:\STAGING\rebuild\SMA900\sfa521.GDB\MDB_STAND_CONDITION_RASTERS_SMA900 # # # "1 -9999" #
CalculateCellSizeRanges G:\STAGING\rebuild\SMA900\sfa521.GDB\MDB_STAND_CONDITION_RASTERS_SMA900 # MIN_CELL_SIZES MAX_CELL_SIZES 10 0.8 UPDATE_MISSING_ONLY
CalculateStatistics G:\PUBLIC\MOSAICS\VEGETATION_SERVICE_MOSAICS.gdb\Masked_MDB_STAND_CONDITION_RASTERS_SMA900 100 100 # OVERWRITE "Feature Set"
MDB_STAND_CONDITION_RASTERS_SMA900
file://\\MDBADMZGISIMG01\G$\PUBLIC\MOSAICS\VEGETATION_SERVICE_MOSAICS.gdb
Local Area Network
138.041999
152.000201
-38.000219
-25.000069
1
Geographic
GCS_WGS_1984
Angular Unit: Degree (0.017453)
<GeographicCoordinateSystem xsi:type='typens:GeographicCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/10.8'><WKT>GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433],AUTHORITY["EPSG",4326]]</WKT><XOrigin>-400</XOrigin><YOrigin>-400</YOrigin><XYScale>11258999068426.238</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>8.983152841195215e-09</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><LeftLongitude>-180</LeftLongitude><WKID>4326</WKID><LatestWKID>4326</LatestWKID></GeographicCoordinateSystem>
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FALSE
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AMD
TRUE
continuous
unsigned integer
-9999
15000
15000
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75
0.1
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NorthWest,Center,LockRaster,ByAttribute,Nadir,Viewpoint,Seamline,None
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None,JPEG,LZ77,LERC
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<_docversion_ Sync="TRUE">10
Name,MinPS,MaxPS,LowPS,HighPS,Tag,GroupName,ProductName,CenterX,CenterY,ZOrder,Shape_Length,Shape_Area,stdtime
0
0
-1
1
-1
Generic
8.62382672754739E-02
2.69494585235856E-04
8.62382672754739E-03
YYYY/MM/DD
stdtime
Years
1
1
0
Name
0
20220706
14403700
20220706
14482200
150000000
5000
ISO19139
Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362
MDB_STAND_CONDITION_RASTERS_VEG_MASKED_SMA900
1
138.041999
152.000201
-25.000069
-38.000219
Output Rasters showing Stand Condition Scores for years 1986 to 2021 (Epoch)
The SCT can be used to infer tree condition at a point in time and space
<DIV STYLE="text-align:Left;"><P STYLE="margin:0 0 14 0;"><SPAN><SPAN>The SCT can be used to infer tree condition at a point in time and space however a far more scientifically robust application of the tool is to utilize its outputs to elucidate trends in tree stand condition through time and space. There are two key questions when evaluating the condition of riverine woody vegetation in the MDB.</SPAN></SPAN></P><UL STYLE="margin:0 0 0 0;padding:0 0 0 0;"><LI STYLE="margin:0 0 0 48;"><P STYLE="margin:0 0 14 0;"><SPAN><SPAN>Has condition of woody vegetation been maintained or improved? </SPAN></SPAN></P></LI></UL><P /><UL STYLE="margin:0 0 0 0;padding:0 0 0 0;"><LI STYLE="margin:0 0 0 48;"><P STYLE="margin:0 0 14 0;"><SPAN><SPAN>Has recruitment of woody vegetation been maintained or improved?</SPAN></SPAN></P></LI></UL><P STYLE="margin:0 0 14 0;"><SPAN><SPAN>The tool does not capture all elements of ecological condition, it is unable to inform the question around recruitment. It is important to note that the SCT contributes to reporting on tree condition rather than vegetation population (or ecosystem) condition. </SPAN></SPAN></P><P /><P STYLE="margin:20 0 4 0;"><SPAN><SPAN>Condition Score</SPAN></SPAN></P><P STYLE="margin:0 0 14 0;"><SPAN><SPAN>Field observations involving making estimates of crown extent, the live basal area, and an index of the total plant area at a site. These three estimates are then scaled and averaged to generate condition score by the equation below. </SPAN></SPAN></P><P /><P STYLE="margin:0 0 11 0;"><SPAN> </SPAN></P><P STYLE="margin:0 0 11 0;"><SPAN STYLE="font-weight:bold;"><SPAN>CE =</SPAN></SPAN><SPAN><SPAN> Crown Extent </SPAN></SPAN></P><P STYLE="margin:0 0 11 0;"><SPAN><SPAN> </SPAN></SPAN><SPAN><SPAN>Short descriptor, </SPAN></SPAN><SPAN><SPAN>scaled from </SPAN></SPAN><SPAN><SPAN>0-5 therefore </SPAN></SPAN><SPAN><SPAN>multiplied </SPAN></SPAN><SPAN><SPAN>by 2</SPAN></SPAN></P><P STYLE="margin:0 0 11 0;"><SPAN STYLE="font-weight:bold;"><SPAN>PAI =</SPAN></SPAN><SPAN><SPAN> Plant Area Index </SPAN></SPAN></P><P STYLE="margin:0 0 11 0;"><SPAN><SPAN> </SPAN></SPAN><SPAN><SPAN>Short descriptor, </SPAN></SPAN><SPAN><SPAN>scaled from </SPAN></SPAN><SPAN><SPAN>0-2 therefore </SPAN></SPAN><SPAN><SPAN>multiplied </SPAN></SPAN><SPAN><SPAN>by 5</SPAN></SPAN></P><P STYLE="margin:0 0 11 0;"><SPAN STYLE="font-weight:bold;"><SPAN>LBA =</SPAN></SPAN><SPAN><SPAN> Live Basal Area</SPAN></SPAN></P><P STYLE="margin:0 0 11 0;"><SPAN><SPAN>Short descriptor</SPAN></SPAN></P><P STYLE="margin:0 0 11 0;"><SPAN><SPAN>Basal area is the area of a given section of land that is occupied by the cross-section of tree trunks and stems at the base. </SPAN></SPAN><SPAN><SPAN>When LBA is measured as a percentage it must by multiplied by 0.1, when it is scaled between 0-10 it is multiplied by 1.</SPAN></SPAN></P><P STYLE="margin:20 0 7 0;"><SPAN><SPAN>Epoch</SPAN></SPAN></P><P STYLE="margin:0 0 14 0;"><SPAN><SPAN>The model was trained using satellite imagery taken around the same time as the field data was collected and it was intended that the model be general enough to handle summary images of single-date images. However, when creating summary images the dates of the images in the stack, i.e. the epoch, should be considered. Previously Geoscience Australia used 16 month image stacks, starting in September and finishing in on the first of January two years later (see Table ##).</SPAN></SPAN></P><TABLE STYLE="margin:0 0 0 1;"><TBODY><TR><TD STYLE="padding:8 8 8 8;"><P STYLE="margin:0 0 0 0;"><SPAN><SPAN>Epoch</SPAN></SPAN></P></TD><TD STYLE="padding:8 8 8 8;"><P STYLE="margin:0 0 0 0;"><SPAN><SPAN>Start</SPAN></SPAN></P></TD><TD STYLE="padding:8 8 8 8;"><P STYLE="margin:0 0 0 0;"><SPAN><SPAN>Center</SPAN></SPAN></P></TD><TD STYLE="padding:8 8 8 8;"><P STYLE="margin:0 0 0 0;"><SPAN><SPAN>End</SPAN></SPAN></P></TD></TR><TR><TD STYLE="padding:8 8 8 8;"><P STYLE="font-weight:bold;margin:0 0 0 0;"><SPAN><SPAN>20080901-20100101</SPAN></SPAN></P></TD><TD STYLE="padding:8 8 8 8;"><P STYLE="margin:0 0 0 0;"><SPAN><SPAN>2008</SPAN></SPAN></P></TD><TD STYLE="padding:8 8 8 8;"><P STYLE="margin:0 0 0 0;"><SPAN><SPAN>2009</SPAN></SPAN></P></TD><TD STYLE="padding:8 8 8 8;"><P STYLE="margin:0 0 0 0;"><SPAN><SPAN>2010</SPAN></SPAN></P></TD></TR><TR><TD STYLE="padding:8 8 8 8;"><P STYLE="font-weight:bold;margin:0 0 0 0;"><SPAN><SPAN>20090901-20110101</SPAN></SPAN></P></TD><TD STYLE="padding:8 8 8 8;"><P STYLE="margin:0 0 0 0;"><SPAN><SPAN>2009</SPAN></SPAN></P></TD><TD STYLE="padding:8 8 8 8;"><P STYLE="margin:0 0 0 0;"><SPAN><SPAN>2010</SPAN></SPAN></P></TD><TD STYLE="padding:8 8 8 8;"><P STYLE="margin:0 0 0 0;"><SPAN><SPAN>2011</SPAN></SPAN></P></TD></TR><TR><TD STYLE="padding:8 8 8 8;"><P STYLE="font-weight:bold;margin:0 0 0 0;"><SPAN><SPAN>20130901-20140101</SPAN></SPAN></P></TD><TD STYLE="padding:8 8 8 8;"><P STYLE="margin:0 0 0 0;"><SPAN><SPAN>2013</SPAN></SPAN></P></TD><TD STYLE="padding:8 8 8 8;"><P STYLE="margin:0 0 0 0;"><SPAN><SPAN>2014</SPAN></SPAN></P></TD><TD STYLE="padding:8 8 8 8;"><P STYLE="margin:0 0 0 0;"><SPAN><SPAN>2015</SPAN></SPAN></P></TD></TR><TR><TD STYLE="padding:8 8 8 8;"><P STYLE="font-weight:bold;margin:0 0 0 0;"><SPAN><SPAN>20140901-20160101</SPAN></SPAN></P></TD><TD STYLE="padding:8 8 8 8;"><P STYLE="margin:0 0 0 0;"><SPAN><SPAN>2014</SPAN></SPAN></P></TD><TD STYLE="padding:8 8 8 8;"><P STYLE="margin:0 0 0 0;"><SPAN><SPAN>2015</SPAN></SPAN></P></TD><TD STYLE="padding:8 8 8 8;"><P STYLE="margin:0 0 0 0;"><SPAN><SPAN>2016</SPAN></SPAN></P></TD></TR><TR><TD STYLE="padding:8 8 8 8;"><P STYLE="font-weight:bold;margin:0 0 0 0;"><SPAN><SPAN>20150901-20170101</SPAN></SPAN></P></TD><TD STYLE="padding:8 8 8 8;"><P STYLE="margin:0 0 0 0;"><SPAN><SPAN>2015</SPAN></SPAN></P></TD><TD STYLE="padding:8 8 8 8;"><P STYLE="margin:0 0 0 0;"><SPAN><SPAN>2016</SPAN></SPAN></P></TD><TD STYLE="padding:8 8 8 8;"><P STYLE="margin:0 0 0 0;"><SPAN><SPAN>2017</SPAN></SPAN></P></TD></TR></TBODY></TABLE><P /><P STYLE="margin:0 0 14 0;"><SPAN><SPAN>Field data is generally collected in April/May , therefore the 16 month epochs GA used take into account images 7 months either side of the field data. </SPAN></SPAN></P><P STYLE="margin:0 0 11 0;"><SPAN><SPAN /></SPAN></P><DIV><P><SPAN /></P></DIV></DIV>
Stand Condition Scores
EPSG
6.14(3.0.1)
2
1
0
138.041999 -38.000219
138.041999 -25.000069
152.000201 -25.000069
152.000201 -38.000219
145.021100 -31.500144
51794
0.000269
48239
0.000269
Band_1
89.000000
0.000000
8
20220706
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