20160420
10354900
1.0
FALSE
Aerials1935
1363798.500000
1504492.500000
1408380.500000
1551012.500000
1
Projected
GCS_North_American_1983_HARN
Linear Unit: Foot_US (0.304801)
NAD_1983_HARN_StatePlane_New_Mexico_Central_FIPS_3002_Feet
<ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' 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/10.1'><WKT>PROJCS["NAD_1983_HARN_StatePlane_New_Mexico_Central_FIPS_3002_Feet",GEOGCS["GCS_North_American_1983_HARN",DATUM["D_North_American_1983_HARN",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",1640416.666666667],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-106.25],PARAMETER["Scale_Factor",0.9999],PARAMETER["Latitude_Of_Origin",31.0],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",2903]]</WKT><XOrigin>-16806300</XOrigin><YOrigin>-44067200</YOrigin><XYScale>137255279.03396165</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>2903</WKID><LatestWKID>2903</LatestWKID></ProjectedCoordinateSystem>
8
FALSE
None
1
AMD
TRUE
continuous
unsigned integer
4100
15000
1000
20
2048
20
75
0.01
10
600
300
Basic
1
NorthWest,Center,LockRaster,ByAttribute,Nadir,Viewpoint,Seamline,None
None,JPEG,LZ77,LERC
Basic
None,Basic,Base-Top Height,Top-Top Shadow Height,Base-Top Shadow Height,3D
-1
-1
0.8
NorthWest,Center,LockRaster,ByAttribute,Nadir,Viewpoint,Seamline,None
None,JPEG,LZ77,LERC
None,Basic,Full
NONE
Name,MinPS,MaxPS,LowPS,HighPS,Tag,GroupName,ProductName,CenterX,CenterY,ZOrder,Shape_Length,Shape_Area
48600
3
972
20140914
15022100
20140914
15022100
Imagery/Aerials1935
image
Aerials1935
1
-107.176609
-106.703165
35.262146
34.867600
Esri ArcGIS 10.1.1.3300
Historic aerial photograph from 1935
EPSG
7.11.2
2
1
0
1363798.500000 1408380.500000
1363798.500000 1551012.500000
1504492.500000 1551012.500000
1504492.500000 1408380.500000
1434145.500000 1479696.500000
46898
3.000000
47544
3.000000
Band_1
255.000000
0.000000
8
20140914
Historic aerial photograph from 1935
AMD_Aerials1935_CAT
Feature Class
48
OBJECTID
OBJECTID
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Shape
Geometry
0
0
0
Feature geometry.
Esri
Coordinates defining the features.
Raster
Raster
Raster
0
0
0
Name
Name
String
50
0
0
MinPS
MinPS
Double
8
0
0
MaxPS
MaxPS
Double
8
0
0
LowPS
LowPS
Double
8
0
0
HighPS
HighPS
Double
8
0
0
Category
Category
Integer
4
0
0
Tag
Tag
String
20
0
0
GroupName
GroupName
String
50
0
0
ProductName
ProductName
String
50
0
0
CenterX
CenterX
Double
8
0
0
CenterY
CenterY
Double
8
0
0
ZOrder
ZOrder
Integer
4
0
0
TypeID
Raster Type ID
Integer
4
0
0
ItemTS
ItemTS
Double
8
0
0
UriHash
UriHash
String
50
0
0
Uri
Uri
Blob
0
0
0
Shape_Length
Shape_Length
Double
8
0
0
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
Shape_Area
Shape_Area
Double
8
0
0
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
/9j/4AAQSkZJRgABAgAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCACFAMgDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iiigAooooAKKKKACiiigArm/G//ACLE3yqx3pgN0zmukrE8VWq3vh25jd9ijDFvTBoA8turzUo7FwtwFTncFA2sCO/OevHHr3qrNq17fSW/2aSVFjZ4xKHP3CB1H8WDkD659BVe/lgtf3RuUIDBjHGe/p6decU+yvLSSa4XyZbbEg8sFgA5IPzAZ9f50Adr4e8RXGm2lzNqTGeWeXcpaTHygdRgcfTit9PGlk5RRbzb2GSMcL7Z6d68o+2NZny1L5YYUhgcDJ68cD9efahNaezh8po2lbBK5TdnqSec55PWgD0W5+IYgAKacHDJuXNyFyfT7uB36+n4VteHPEY8RxXDi1MAiKjl9xORn0GCOn1rzGUNcWETmCNG2hcZy5HGSPTj+ffv3fw98tdMuBHHtXeCGzkvknk/jmgDs6KKKACiiigAooooAKKKKACiiigAooooAKKKKAOd1TxVDpWriwktJX/deb5ikYHtUH/Ca2hJC20jHbuVQwy3FZ/imK2k1o+ein90mQepGT+YrlL7UrazQj92w5AG/G3PfJ/GgDvrLxhb3zFI7ZxJzhWcDp9ad/wkdrqFlKkLPGzoyeYCRsY8deDx6ivO7N9975kTF4FjByXzjIzyf89auxXrrp00bR/viqtlGAXpyRyTj8aANC+8QGKY2keoXTzlCPknbJI5IAyMdufwzzg5h+36ppM5vLqe4jPy+TJIzKMdDgnr/wDXplhBaC4uriVSGePPyklhyMsD16frWdZXZW5eCWZ4YEkMeYiCN3Xrjr7UAT3Ol2p0eJEjDJFKJDsweOh55zxWVq2iXEuo2rQlPNV1Kqrq2CfX9f1/HotYtI41S6i81sqTjzMjjAJHv2qmIvKaK5UsJCEjChgB6Ae9AFSfS5TbQtNAyNGWZT0GDjP05/rUNrbqXO5VMZOArHqe5Bro2ma3E0sihi5yobkqfYdqpJqdrLeJby2waQgBnOFAP4Dj/wDXQBkz3UdtM4IaMsvmIAp+bAJA49wB713PwvvVuLa7tyrCaOGCWTPQlzIf6GuYuoILv7RDAFEYJUMpy3ccnqcfWut8B2lvaa1rIt4miRoLU7T/AL03T2oA7yiiigAooooAKKKKACiiigAooooAKKKKACiiigDzrxqwXXSWZT/o6hU3EEHJ5/8A1V57qCi/ntbMWjJFvV98p24K8kAfhXceNbVLrxX+8hZ1WKMZ/h6ngj34rHiMKXkqrF5ktujhHOenIAbPoSaAKWlzNY3N1jl2GYyTuyTwMcD8+lX5jHc6c8iuDJIikMYyANvbkHpycd6sQwWpdCLaKRnOECBiQD1A54GSD2/SrTvaJEWuJyNkZjOBjsQT7HA/GgDmbS5hSWUyTSGVQH2yDdlSTjdx7Zq0+jzRSlnVAJnZyAeQw5BH6/XNIbS2miPkY82MADcQOnQk5HH4g8/SpBpXlWAeV/MUjYQTlWzxkfyFAEim8fR3ligKwKBtGd20llzhcDBz68+9VUjmjtws6RDzAxjkmJ3euTg54P8ALFOlYpauqgxlGEqNGSofHPT/AD0qnLqM94cpgMq7gXPG4dsdz0/SgDUaAPp6FgRNIOADyjAnPX+pNSWdiqXEeWaRtg+8enqOvvVQTm12XlxCREItw2t3xgLjHuR/nNaWn38bgSRtHDvPyFwQxBHTB70AZiaVJp2p3d8iymR5SHbA2qCeoA5/lnBr0HwZO1xPeSFWCmC3IJ6EneTivPtWNzdalLYxG1Qq6qzOH3cqM8hsc+wpdL1zXtJeeyS/t1dvLCm1g+VQNwIbfv8AbGMd6APS9X1rULG9eGBLcxjG3epJPHP8QrCl8bamkpQRWXBwco+fp97moJDfrA93d30k1ySpJAVeMY4G3Fc5dXDyaoWeCSR0IXzXxySeMYwOAQPwoA7JfGGprExe2gL7fkRY2BLeh+auytJmns4JXG1pI1YgdiRmvCr29uLP7U1sj7TMGaeLq5VQCCRnPp2xXuWnnOm2p9YU/kKALVFFFABRRRQAUUUUAFFFFABRRRQBwHi5Yf7cV2x8sas24nk89MVytxARcNDHIGEylW3MF+9nIPfoMZ7E12finwtfarrH2218kgRBAsnGSMnrn+lVn8J6jL88kEBfGGGQQeO3I9uvpQBzsNk0BwLslyCDjI+bJP8AL8KypEhv5V3TF24YvyNpx90478E1uXZthKBJcxx3EDyA+ZHkA5x19ME1VtbrTjB5zyxJKYiqoVzuO7IYY65zQBXuLBLWD5pFZ3b5ivy5yOmM+uP/ANdTWcMcbJBnzEwpiRP4CAOO+RkZ/wA4p3nf2qxhikaAJt3kx5LMMcDpk+9WbK0gtoy0gkedyNu1ckKPQDp0oAoaz9jh1CyjkQojMHygzglc9yMng8fSs5I47wzModoiW3FxgjHHcf5xzVuaNg1w0k8s80cQnh3xlAqlgNvPIwO2PrUVtJL9sL7Aigct93r15/wxQAS2El9osWnNuDspYqvHrjr6gir+l6HqFpJEJbp5ipxvUANj8P5Yq/8Abm060WVo/NWN1QDzB94gnj8T+HNEHiprop5WlSrtOCvmpjPtz/hQBi63BNba1NcmSQI8q7PlPGAv0z0/T2rR0+3k3QyQBSZ2EVwgJxnqHB59W4PoaqeI7ubUGBjsitwxUD5lbYCcHoRz7Y7ip9J1GPTFlhvEWKWIIy75AQc7gTj8KAOutreX+zzE9rkkck4zwc1i7WezDLZoW8+RUbPLMXOP14qVfEsf9mG/Y7BtYbgep6D/AD7V5XN4jkis/tsH2z7R5ssu1pHQcysc4B44Pb3oA9IvdHa5hlD2jKoO0kyFcr1zke59q9RtkWO1hReFVFA+mK8W03WZdSuIHIljDld8RuHbdnAODuOR+Ne2qoVQqjAAwBQA6iiigAooooAKKKKACiiigAooooAKKKKAPH7uC3vr+9bgOJ5AckjoePwxWQ/h+1uZ4UmnLRFtuVYjaSfyx0+uK1pYIfPvPLm+YSsDHkknJyfqM1USGVrQAGN9+FCtkktnHTA65wKAJdOsorO5a2iuHd1YKzHLDJI2nOM59a37SyZWzJEkoc4G0kMD7en51z9/pjR3KtIw3oo8l43JZABk/r7enFSaPe3zAxzziYHc0cqHlk7ZGOuB/nNAG5qEcEQEkiBZduxF3Z3DHTpx/wDq9ayYLFLi28xSriRP3ZTkn/e5OasQwpdQzTSzSlo12EE9SOcgDqaq20otp5Ha4vYMxKsSwRPIAwOc4GQCc/jzQBF4k08xWFrcQHCG4j3YAOBsbB69TnHGelYtvHNCwRJXYA58xSAAT68f5zW/czC+SAzXN6qwks3+iykMQCP7vfnIqJYrOMOsDTy+YdpYQuMZ4P8ADnv69qAKUsFwL+eSTEqxmNgGO3kBSP1xxWbfXpuLhJbW18jzAzkO/JAzz7VqX8btNLHtfaZFXc0ZwVKLyB9SRj2rlZLW5+2XiiHycYbapJAzuAJ9Dgf/AK6ANnTHaQIV3lJDhRzyfqarahpcmpXtxCsMgKyNtl2cx/Nn15/xrZ0FLxVgsmV5GjBIV/mz75FNfVrqLVbxNkZiWSUGEJk7lkZf5igB1notzYTQrFO6qjrkGJuV49fqele4AggEdDXnOlJLexRSfaGjGQjKy5YcHv8AWvR6ACiiigAooooAKKKKACiiigAooooAKKKKAPIZEt3aby5BxI298de3H/1qJbby9NjJR33MG3L1xkY6c1jnQvEwuJJf7N1B0U/KgiPJPpkgcdfr+VaQi8RtZjOhX0kqycB4++ep6Z//AFUAbzW8l1b8Bw7A4d1A6cY49azLKwuIIDMJQSR8qnov0x1+gA6VjWWtan50v2y2cS3AKRuxBUjHH51PNd3E1zE8LRcqFygx2xjBA9WOPpQBftUnTVRbyOsizAH5MKFznOcfTI70X062+opEIZfNgztLAkHjJ7dRjrnvVW/vXsn+zxyM0wBeZFbAAA6/njpU+lNJeo1w0qv5brnecthhgn16kfrQBF/av2zTVmZz5fnuUQdQASCCe/IP6VLazgxgRs4J7ZI60lho80rGF7SKOGF2lQAnc2c556dea1odHYiFnQDK4X5sgen60AYl5ILW9lMrHayKQu7HQdc9uayLCR3u7yaGeZEeNPMX7pGC5B46/exUnit5Y9Vu7dEOVRCMru3ZTpn2zVjRLFLjUb24lUgrHHwTyAc8cUAWrW4sZ4IWiuwZSMfu2/iz1z9Ko6n4UaUx3sd48LnLHyQCOTyOe5wPemaNdad5ksVm4WVn+5Ig2lhkdcdTnr7V0+m3YubSFJSEkjeRWC9PvsBQBJ4a0+aK1VriYySGcBeCBx/iM16ZXnkGqWttM9uNnmKN+7cODnAzx64r0CPmNenQdKAH0UUUAFFFFABRRRQAUUUUAFFFFABRRRQAVBczi2tZpyrMIkZyqjk4GcCp6o6wN2h6goBJNtIMDr900AeV2+pwLDNY3yqdrLIoCH5Ou0eufUiqtvaRF7pFSVVPmHzBliuMYP547/pVPV9KtInWbLyyld0kruxySMYIzyME/pU1lqdn58AjtiQpKLk44Hfnj3x6CgCK7MU9tC6S7yiusjMCBn+LPvyDzUFrAiGKGGHcrnEuR0U9+euP61s6RZLreqi0lZYjM+CQuSrAE5HOPX8celdvD4IjhlEhvdz7du7yADj8/XmgDk9Tg+w2qPHCJnbZs3EKMHPf8c/lT9He4XY0pCJu6Nwy88gg16HZaNBZEABHQKFwYx26H8uKstp1izFns7dmPJJiUk/pQB51d39ikbxm7tiRJuZfMUZ54+mK6Pw7Y6ZrOkNcTpFdOzskjCTcD7HBx3rov7MsP+fG2/79L/hU0MMUCbYYkjTrtRQB+lAHlmvaXY6LqM9rpVhFbImBtjUEHcAc4I65PauOmvdUiuEVGULJlywXBIJ9AfXJP1ru/ElvfX15qZtGKStdLErpyzKAB07YIIz7ZrAs9JuLdF/ta8iM2SQFVmx174/rQBlaXb31ve+fPMDvYM4T+I8dR9a9QXV2nTy4biTeACT5hHH0z/jXAy6RdvdRyOQkedwUN3+man0NpU1jzSWYMmAQDjGfTNAHeabe3cuvw2zXEjFN7TIWPI2/L+H5c4rra47S7eP/AISqK683E7WzjbkcjII7ZwNx4z/jXY0AFFFFABRRRQAUUUUAFFFFABRRRQAVn65N9n8P6lNziO1lfj2QmtCsvxFuPh7UFRgrNAygn3GMfrQB5Emv6VeytBJKFucKzJgspBz/ABDgfifSq17BGWkWMxxySqZCJOiYPJPbgZrHsNDsra+ZZLtmeZiQy4LP6jJxnGckY+h4rdNzElvHBd5m8gNj5AN3PygjJyelAG34TtobbxPYy7xIZSQoIHy5Q+/X68ivWq8X8AX8d34otI3PLb3iGzacgNnPtjNe0UAFFFFABRRRQB5v4mtpItaBty6xCYzuEx8x75/PgVzg1AXWo7JW2Av0PPH4V0mt3EzeIp1FpujDlWkUEjHv2zz/AJxXMtYra3UsyRnzpH+47ZUj6dh9KANZxJeXcaBGKxvt4wCfSnf2BqcaMLSGZJMKAxBAxnBIOOuKs6ZBI2qqgGFJUqozwc889hXplAHD+GtK1C31a3mvd7ssDoxKEKCcYIz7AA8c13FFFABRRRQAUUUUAFFFFABRRRQAUUUUAFZHidtvhy9OM4UH/wAeFFFAHgU2Zbu4wzRiNiVCMRggA5rbt9IgvLxxKzYR2AI4PLkDn2/WiigDY8EabGnjOC5iKxrEzxiMLnOY35zn2r2GiigAooooAKKKKAGeWmc7FyepxR5UZ/gX8qKKAFCIOiqPwp1FFABRRRQAUUUUAFFFFAH/2Q==