20200505
15104300
1.0
FALSE
TOIT_AA
002
2483576.592406
2510558.285235
1108273.259464
1142752.643890
1
Projected
GCS_CH1903+
Linear Unit: Meter (1.000000)
CH1903+_LV95
<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["CH1903+_LV95",GEOGCS["GCS_CH1903+",DATUM["D_CH1903+",SPHEROID["Bessel_1841",6377397.155,299.1528128]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Hotine_Oblique_Mercator_Azimuth_Center"],PARAMETER["false_easting",2600000.0],PARAMETER["false_northing",1200000.0],PARAMETER["scale_factor",1.0],PARAMETER["azimuth",90.0],PARAMETER["longitude_of_center",7.439583333333333],PARAMETER["latitude_of_center",46.95240555555556],UNIT["Meter",1.0],AUTHORITY["EPSG",2056]]</WKT><XOrigin>-27386400</XOrigin><YOrigin>-32067900</YOrigin><XYScale>140996569.55187955</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>2056</WKID><LatestWKID>2056</LatestWKID></ProjectedCoordinateSystem>
32
FALSE
LZW
1
TIFF
TRUE
continuous
floating point
0
20201112
15554700
20201112
15554700
Version 6.2 (Build 9200) ; Esri ArcGIS 10.2.1.3497
TOIT_AA
1
5.924718
6.282358
46.431405
46.117116
Jeu de données raster de géodatabase fichier
dataset
EPSG
8.2.6
2
1
0
2483576.592406 1108273.259464
2483576.592406 1142752.643890
2510558.285235 1142752.643890
2510558.285235 1108273.259464
2497067.438820 1125512.951677
2699
9.996922
3449
9.996922
Band_1
32
20201112
Pixel
3449
2699
9.996922
9.996922
32
1
Upper Left
FALSE
LZ77
1
pixel codes
FGDBR
TRUE
row and column
9.996922
9.996922
/9j/4AAQSkZJRgABAgAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCACFAMgDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK4vxv4hNiILK2kxcb1lkx/CAcqD+OD+FdFqWs6fpMTSXlzHGQCQmcsfYCvDdS1WS+vprmVy0krFiSf0oA99tJ/tNnBORtMkavj0yM1PVPSTnRrE+tvH/6CKuUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXIeMr6/j+zWNgs370MzmMHJ9s/nmuvpruqIXY4VRkn2oA8p0rwXeaxesuoCa0tUUMSANz56AZ6fWsLWfDi6X8QLHRILO5mtbloyjSSZMq9XOQAAByD3AXOea9C0zx7b6z4h/sq0t2XdE7RSSn77Lg8gdBjNcR4J1bXfGfxKWfXH2DRo5XW3WPYI3bCFcdc9TyT92gD2aOJIYlijUKiKFVR0AHQVJRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRUEtzbxOsUs8aO/CqzgE/SgCcEHpRVOxsYrJJBC7MkjbuTnH41V03XbXVbmeC3jm/ddXKfKfx9fY0Aa1NYFlIBKkjgjtUZuYBMITNGJT0TcN35UXNzDZ27z3EixxJyzt0FAGBoPgrSfD9y91bo8t06hfPmILAd9uAAufatuKwtIL2e9it4kubhVWaVVAaQLnbk98ZNWFYMoZTkEZBp1ABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFMlfy03Yp+ecVXvZxbWc0xGQi5oAwtYnV8M7k7T8ozjn1rK062fW7+5Mjqwhi2qZDyCQQvHcAg559KyNT1jc5ANavg2xvk1aa6lUwxiIAxyAhnDcggenHWgDpPD9leWFlJDebc+YSgVsjGK5/xHFp3hPRZLiBp0upJSbfEpHzkYzx1VRk4P9a7ivJPijeR3erQWsbZNrETIc8AsRwPU4x09fY0AcZLMXJlLuZS27dn5i3rn1zXV+KfEutatc6f4Kgjj/09IUkv1bf9oU4JlQrxs4JPXuK4Bru4sVM9vOUljO5HU4ZCOcg9q+ifDl0+p+HtK1C4Yy3E1qjmVogjHcAScDpnjpxQBqQQpb28cMYwkahFHsBgVl6/4k0zw1bw3GpyvGkrFEKoWy2M44+lctcfGfwPbXb28mqSbkkMbMtu5XIOMggcj6VyviPxdN4yurGLTLKaFYZS1u2/LylgADtA4PXuetAHsttcw3lrFc28iywyqHR16MD0NT1y/gvwy3hnSDC8zPPORJKufkQ46KP5nv8AlXUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXL+NtU+w6ZHbLw9yxGf8AZXBP8xXQ3NzDZ2stzO4SGJS7sR0A6mvHvEXiGLW9QeVRKE83ETO+QsYAGAvqTknn0oAl0e72aoSdMXUt0ZHkFckd8jg+npXbeF7PUJNRu9V1GKSF5k2Ir8cE56dQBgAUzwFpbWelS3kiSLJdMMB1x8i9Dj3yf0roNW1KDSNMnvZyuIkLKhYKXYDhR7npQBPeiQWE/kypFJ5TbJH+6hxwT7Cvn3VL6S9nlleTzZiSZJdwIc56jgYGK6/UPiYdTsZ9PuNKECXUTQmQXH3SwwDyAMdM1x8Xhl5JGa6u2ihZ1iR7RRceYxA4UAgNjcMgHPtxQBFYOBeaPHeXdpa2H23zPOuFXZhSpcN6ggAYPHNd63xB0zx1fJ4P8MG4WO6jZbq92eULe3A+bywedxHyjgYznnFc/wCMPg5PaeG5b3TdTuLy5tUZ2t5F2qyAZbYBnB6nHfp16+EafdXEOrRNbSPHJu4ZCQR+VAHoGoeFfCGma1qWnWmrX2oXNtcNFHD9nVVjZWGVkZj83cZAHK9q7nQJtF0vRP7TivZF16KUNBEqsFVeBtPYgjdk57/nj/DrwjBqXieTUbuNpliZJZkZgC4JOWbdwVGOe59OteleMfCNre6eNT0W2gE8WXkEAwJk74A4Ld/fn2oA7HSdTh1fTYb2A/LIvK91buD9Kv1zXgew+w+GoWaNkluCZXDdeuB+gB/GuloAKKKKACiiigAooooAKKKKACiiigAooooAKqalejTtMur0xtILeJpCi9TgZq3WT4kvPsHh2+nCeYREVC4yMt8oz7c0AcnY/FLTb+eK0utNuIjM3lucrIgzxz0JH4V0h8JaKNTt9QisY4ZoDuURDahPYlRxx1rzf4dadolzeXs2qtAbi3ZDDHLJtx1y2MgNzgd/1r1bVNWs9H02W/vJNlvGASQMk5OAAO+aAMYeONGjvry1uJpIJLTfvEygbyDjC4PP0xnpXn3jLxDD4gvo5bTzo0iTYBIeDyTnHbr+lc7reqwanrV5fwmRYpn3IJdoYDGOQOM/5yTS2IjmiZ2mVI14ZjyST0Cr1Zj6D8cDmgCi+2SUBwCAee1en+CbazvNXjeMIv8AZ8QERQf6zOQWI/E/TI9K8x1EKutXMUETwxRyMgWQgt8pI59/X3zir9v4p1Sx06TTrDy4jMQBLDGBM2DnG7rg8Zz2H1oA7vxj8ZdH8J6m+nx2s19MiHe8TAIj44X398dPft5P4H+Euu6xe2l5dwC0sJY1mW5Lq4ZGXI2hTycduMd8Vtz6X4Z8P2VnrNxLbeJNanaQQwQSpNZQOMEmTb1IDg47nt3r1rwN4nGt6Rbw3l3HJqaqd3ybDIoJAbAG3PqF6e2aALemeGjp0Oo2090klneo3mBU2HLDDHOTjg+tcje+I9L0SO28N2huJoLabfPdRylWB3ZITBGTyR1x9etek30Lz6fcQxLE0jxMqCZdybiONw7jPWvAtQ0fVPD19A+sW0cDyuTGPNRg+D1wp4HI6gUAe9y6lbW9pDc3MnkJNtCiQfNlui4HerteV6dq7+KPFljPdyeSquDEichdvzAc9yR1r1SgAooooAKKKKACiiigAooooAKKKKACiiigDGvtaSy8Qafp7EAXSvnPY8bfzII/EVrOiyIyOAVYYIPcVl6joNnqWo2N9cCTzrJ98exsA85Ab1AIzWlLLFBGZJpEjQdWdgAPxNAHmfxF8IR22hS6jpEBXy3E11CrHBUA/OAf7oLcehJ7V5TfeLNXu9Kg0h9RlazQ8QFQAoGCvzdTyTwemB+G94l8Vf2z441GaWW5n062D2ttDb3XlIy/dJJGcq3J46jA6VR8GG3sfFOnXF/HFNZRSszLIgKqWGC34YU/hQBixQB7USea5mLkMCnybMcEHOc5zxj057U7y5PLAiXJ/iJ7+ter6j4EOt+MrmWzWCDS3Ks00GCoJXJwM8sT6eoNY/jHw1F4RjM/mh4HfYhb73IJAP8A3y35UAcNbWkrRtvYqu4HGeD/AJ/wrqLK+8OWngbVBeNaTahAHu7ZAqyFzjykil4OAzsflyGK5IwBmuGu9WvJ3MNtbkbgQpH8PpnjmtfUrhPEV7a3dxaJYiKMebDCx8uSfo023szDaD1+6OaAM3S7H7JZQ5Ub5PmKjoCeoH+e1dB4XS5uPFFnDYzT28k84hWWJgGjI2lmweoCk8d/wxWV5aiYhWwM8e1a+j+ItQ8Jaqt/aqJIXI+0QkcSqM9+x5ODQB1HiT4q397eXmm6SPscMUrRi5RsvIBxkZHy9D71wm25up/NuriaeTpvlcs2Pqa9M8Q/CQ3WtHUdDuo44ruQvPFOSQhPJZSOoPp+uOmvpnwp06C3U6jdzzz9/KIRP1BP60AcLoUs1teW0kALSpIrIo7kHgV77WBpfhDR9JkWW3ti0ynKyStuI+nb9K36ACiiigAooooAKKKKACiiigAooooAKKKKAPG/jT4l1LTLzT9Ms7qW2hkjM8jROVZznABI5wMH8/YV5TqXibWtYFvBqeo3l1DCheETMSM9M/7R6jJz3rQ8WeO3+JJ00W+hzR6nbLN5gtyZQ8f3hgAZ4AJJ+v4Y2i2MN1bPK7kSdsUAR2Vy4eQDbjGcHqeQMD35z9Aa6KCcpEiqmCe/rXptp8JLPUPCujq7Pp2oJl7hkUEuGOSD3zgKBzgc8cmq8Xwi1EX0sL6nB9gQgwzGMmQ8dCo449c0AYGn+INS0yN5tMu2gkGR5Q+ZBnno2R+PWsLVdR1rxdrKXOs3BkWIbYokXakY74Hqe569PQV6Nb/C/VI2YPd2WwA4Klsse2fl4/Wom8C6rBCHWw3OGO4pKpOOMcfn+dAHI2ujxRMSyhV6g45om0eOVoooEy0zBBn1J4rr7bwtrV5cBYrCSGMdXuW2gH6dT+ArobTwHNFNG819GCMMTHHkqR6Z/n+lAHBar4RlvNaFv4d0mZrOD9x9py22Z1+85ZjtHORxxx713fh74cWNjCkuriO9uOD5ZH7tD9P4vx49q7lVCqFUAAdAKdQA0AKAAAAOABTqKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDmtG8DeHPD+r3us6XpqW99d5MkgdjgEgkKCcKCRngfpgV5P4Q8L2178X9as7iQvbWN1LN5e3/WfNlQeeACR9ce9FFAHvtFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAf//Z