<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20220804</CreaDate>
<CreaTime>16413600</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<DataProperties>
<lineage>
<Process Date="20220804" Time="164136" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\DefineProjection">DefineProjection "C:\Users\burchibr\OneDrive - Michigan State University\IC-CREAM Surfer Projects\South Haven\Casco Nature Preserve\Data For Public Upload\05082022_extract.grd" PROJCS["NAD_1983_UTM_Zone_16N",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",500000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-87.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0]]</Process>
</lineage>
</DataProperties>
</Esri>
<dataIdInfo>
<idAbs/>
<searchKeys>
<keyword>EAGER</keyword>
</searchKeys>
<idPurp>EAGER</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>SouthHaven_CascoNaturePreserve_05082022_extract_grd</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a
HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy
MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDASIA
AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA
AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3
ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm
p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA
AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx
BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK
U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3
uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD2Wiii
u088KKKKACiiigAooooAKKKKACiiigArVjXZEo9BWdCu6ZR71pnpWFZ9DooLdijpSDvS9BSDpWJ0
HC/FC/8AI0aGzVgDO+SO+B/+uvJVFdf8SNRF34kMCNlbddpHo3euRSsY+9Ns/Sckw/sMDBPd6/f/
AMAsxYBXPSkGs3+japHcWc7RENyAeCPQ0q8svaqGrEmUYHevtcjgpU3GSumY5yr4aVz3Xw/4tg1W
CNbjEU5A+hrollRzhXBPsa8W0KRlt4weoFdrp1o8hScuQpPQHrXgZxSw2BUqs5cq6eb7I/HI5piV
inhlT5td720O3pBSRjEaj0FOFebF3SbPoAoooqgCiiigAooooAKKKKACiiigAooooAKKKKAMeiii
u088KKKKACiiigAooooAKKKKACiiigCzZLmQt6CrxqvZriIn1NWe9ctR3kdlJWiIelMnlEMDyN0V
STTz1Fc943vzp/ha6dThpB5Y/Gs5OyudWHpOtVjTXVpHiupXb3+p3F04w0shY1CgyRUY5OanjHeo
oRufq/KoRUVsiTOHWqWrjDAjrmr8Sl33dhWfenz76OMngtzX3OTU3CN2eLnM4ww0rnWaCpNshbqa
9G0mPCW8frzXD6PbqEjQHA4rvtKUi9RAeEX9K+L4wqKrVoYf+aV/kj8Vy+XtMfVq/L73/wAA6GkF
LSDpSPpxaKKKACiiigAooooAKKKKACiiigAooooAKKKKAMeiiiu088KKKKACiiigAooooAKKKKAC
iinxLulUe9D0Glc0ol2xKPand6WkFcT3O5KyD+KvPPireMljZWg+7I7M3PpjH869DHevIviheCbX
YbYEERRg/if/ANVZ1PhPb4fpe0x8H2uziFFWEGFNRIuVzUo4WujDQd0focmSqcWzmsywja41TI5C
1oXREVptzzTfDajzWc85NffYZOnhm2fFcV4n2dB2Ou0/cu0V32ic3iE9TDz+lcxpdvHISzDhRnHr
XQ6VcqupqSMb12D2/wA4r804jx9KWYUKHWLu367I/Kspu6rry0Unb7mdPQOlFA6V0n1oUUUUAFFF
FABRRRQAUUUUAFFFFABRRRQAUUUUAY9FFFdp54UUUUAFFFFABRRRQAUUUUAFWbNcy59BVar1kuIy
3qaio7RNKSvJFo9KToKDQelcp2AOBXg3jG8F74pvZFOVD7VPsK9zvLlLOymuHOFiQsfwr51upTPe
Syn+JiayqbpH1nCtG9SpVfRW+8ahIqcclahTrVmNcuPbmvSy+LlVSR9fN2K+pyoIyp61c8NoVjXc
h5rI1OTdKoHPPSul0mVjGgEeMDvX3FVctBJH5jxfXlKLgkdrpO0wygA7ttUptQaG4QxsQUbk1PpD
yGdR0Hf6VUv1jS/kKLlckn61+M8TUvZ5m53vdJ+ltD8wlVmsGuR2tJr9T0mwvodQs0micNkc47Gr
Q6V5VY6vd6dIWt5NoPUdjXXaH4ofUbpLWaEBm6Mp9q7MLmlOraE9JH0WX5/QxHLTqaTenk2dPRRR
Xqn0AVCLuAttD85x0qamiNAchFz9KAHUUUUAFFFFABRRRQAUUUUAFFFFAGPRRRXaeeFFFFABRRRQ
AUUUUAFFFFABWpCu2FR7VmxrukUe9awGBisaz2R0UFuw70h6ijvR3NYHQcv8QL0WfhW4AYhpiIxg
+teJDrXpnxWux5djaDrlnPP0rzRawesz9C4co+zwKl/M2/0JEHIqzHxv+lQxjmp14idh1r3cpg3X
TPWqv3WZMSiXVVDHgV6Lo2m+cihQvTJJ7V57Yp5urZ9K9P0MsHUAnBGDXucQ16lDCSnSfvRi3qfi
XFU1PFwpt6N6lua4g0uPaihnIwSKwXndg5PG8k1Ndxj7XLlzgHqTVRjk+1fiU6tSvN1asuaT6s+G
x2IlKXIlyxV7JfiJW14U/wCQ/b/j/I1iVt+Ff+Rgt/x/ka6MJ/Hh6oxy7/fKX+JfmelUUUV9mfqg
UUUUAFFFFABRRRQAUUUUAFFFFABRRRQBj0UUV2nnhRRRQAUUUUAFFFFABRRRQBYs1zNn0rQqpZLh
Wb1q3XNUd5HZSVoiCgUdFpGYIhZjgAZJrM0PGviTcrP4pKK2RFEqn2OTXJKKu67dm/1y8uefnkJG
aprWNPV3P1XBUvY4aFPskTrwtTFdlsfeoT90U+5Oy2A9q+qyan71xV5Wg2U9HGdVI969O0dCEdge
QhwK8x0SOSW+MoxgHFei6U0wlTb1z0ro4loyr4WpTjKzcT8M4kqRjj4T3SfzM6UsZX3ZyTzmo61N
bWIXuY8ZP3gKy6/FYPmimfC4uk6NeVNu9mFanh6Rk121KnBLEfoay60NEbZrVq3+3/Suig7VYvzQ
8G7Yim/Nfmeq0UUV9sfrAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBj0UUV2nnhRRRQAUUUUAFFFF
ABRRTkG51HqaANG3XbCoqU0gGABS96427s70rKwhrM8R3JtPDt/MuNywsRk98Vp/xVzPj+VYvCdz
uON2FHuTUTdotnVgoe0xNOHdr8zxEnc5Y9Sc1InWol61PGBmpoI/VZbEmMkAVDqUwSLZnnFWIzmY
Vm6md04XuTX22S0vduzyc0qulQbRseGbQ+V5h+83PNd9piiGKSZxgIvB965jRIcQIeldRqT/AGfS
I4u8nNfPcY4908M6a3m7fLqfguOrupjZ1pPSCv8APp+JhSyNNK0jHJJplJRX5mj5Ftyd2FXtH/5C
9r/viqNXtH/5C9r/AL4rSj/Ej6o2w38aHqvzPV6KKK+3P1oKKKKACiiigAooooAKKKKACiiigAoo
ooAx6KKK7TzwooooAKKKKACiiigAqe0XdMD6VBV2xXhm/CpqO0S6avJFuk70tJ0Fch2gO5rh/ifc
CPw9FCTzLLx+GK7gcCvL/irPm5srfP3VLYz6/wD6qzqfCetkdP2mPp+Wv3Hna1YjHeoEFWOiVth4
3aP0eZJD94t6VlXB87UY1961YyFhcmsy1Tz9XQDtX3mWx5KVz5riGryYdneaLF8ka45q9rc++6EI
+7ENtLosKmWNag1fH9pS471+ZcY1+fFU6XZN/e7H4Fi5uVGrVX2pJfdr/kUaKKK+TPDCr2j/APIX
tf8AfFUa0dCAbW7UHkb/AOhrWir1I+qOjCq9eC81+Z6pRRRX2x+shRRRQAUUUUAFFFFABRRRQAUU
UUAFFFFAGPRRRXaeeFFFFABRRRQAUUUUAFadsu2BfU1mqNzAeprWUYUD0FY1npY3oLVsU9KQ9KDR
3FYHSB6V4h4+vPtfiu4AfcsQEYwfx/rXtk0qwxPK5wqKWJ9q+dtQna61K4mYkl5Ccn61lU3SPqeF
qPNWnVfRW+//AIYijGTUzelRxDmpo13yewr08BSc5I+yk9RLlhDa4PemeHIPNunlPTPBqvqsp+6O
c8V0Ph6xMNsmRya+0lajhrdz844zx6p0XG52GlxCJGuGOEjGfxrEuZvPuZJf7xyK3Zf9G0R88GTp
XO1+K51inicwqSvdR91fLf8AG5+P45+zo06Xf3n6vb8Aoopa8w8oStjwxGsmv2wbsSf0NZFb/g+J
ZNbDHOUUkfyrowivXgvNHdlsefGUl/eR6LRSe1LX2Z+phRRRQAUUUUAFFFFABRRRQAUUUUAFFFFA
GPRRRXaeeFFFFABRRRQAUUUUATWq7px7VpVTsV+834Vcrmqu8jroq0Q70g6mgetA6VmamB40vDZe
Fr1wcF08sfjxXhkS7mya9S+KlwyaVZwgkCSRiffAFeXQ9eazjrV1PvuHKPJguf8Amb/DQmC44HU0
s8otoMZ+Y9aemFRpD1FZEsjXt55R4Gea+1yjAqMfaM6Mzx0cNSbZZ0y1fUr1Xk/1SnP1r0bSrEOV
AGFHU+lYOj2ccUSqtdW2LDSHIfDyD5cV5nFGbPC4Zyh8T0j6vr8tz8PzjGvMMW/aP3I3b9F/nsUd
ZuvMnECH92nGKzKCSzEk5Jor8lirLU+PxNd16rqPqFFFOCE9qZilcbXTeCVDatKf7sWf1Fc6IWNd
P4KiKanOT/zy/qK68A08TD1PUyenL69TbXU7mkpaK+wP0wKKSloAKKKKACiiigAooooAKKKKACii
igDHooortPPCiiigAooooAKKKVRlgPU0AaNqu2Ae/NTGkUbVA9BQa45O7ud8VZWA9KXoKQ9hQaQz
y74q3e67srTcPkUyY788f0rz6PrXSePr0Xniu4AIKwgRg5/H+tc5H1rOnrO5+nZVS9lgacfK/wB+
pZj5faeh6isyYi1vS+35SfyrUiGX3dgKyroC4vVjGSc5r7zJk/Y+9sebn0acsO+c7LSZQ8aEV0l+
A+ixMRyGxXO6TBtiUV0WoSLFpEcLfec5H0r4zjRx+rwS35l+TPwjFOHt63blf5qxg0tJSivz8+ZF
z0wKd5jD0plFFhqTQ/zW9a67wQd81yT1C/4Vx1dj4GB33TY4xjP5V3Zav9piexkUpPHw+f5HZ0UU
V9afpAUnSlooAKKQUtABRRRQAUUUUAFFFFABRRRQBj0UUV2nnhRRRQAUUUUAFS2y7pl9qiq3Yryz
fhUzdosumryRdpO9LSCuQ7Q/ipsjrGjOxwqgkmnDqazfEM5t/D9/KDgiB8H3waTehdKHPNQ7s8I1
W4+16vdT/wB+QmoUFRZLMWPUnNTpSoo/WeVQioroSgkI4HpmsuBsaqjHiteJQQSee1ZF+ohlEiHB
U199lKfsFGXU+dz2i6tBpHeadIpVa2tWjMtvA69CvSuS0S68yJTXb2Nwk1qVkTPljOa+J4zwlSWH
VWK+B3fofh9TDpYmph5u3MvxTuc00bL1FNwfSti5uYWBxEBWe20ZYcGvzqM21qjwa+FhTlaMrlfF
FTBw3UYFGVbgDP0FXc5uRdGQ12/gX/j0u/8AroP5Vx/2aRvuRuT6bTXa+CoJIbO58xCuXGARjtXp
ZWn9ZT9T2uH6clj4trv+R1FFFFfVH6GFFFFACH1paKQUALRRRQAUUUUAFFFFABRRRQBj0UUV2nnh
RRRQAUUUUAFaNou2EH1oorKrsbUPiJ6O1FFc51CDpXK/EG7+zeFJwCQ0rBRj680UVE/hZ35XFSxt
JPujxVasIKKK0oH6dMlhIG71xWU4FxqSRnkE8iiivvMr/gtnzXEM3HDux3Ol2cUcS4GK6qwgT7JJ
84y3B9qKK+P4q5p4Jxvu1f7z8Lw83PMW566P8ivc6OqYIer2keHUupfMnGYV7dM0UV+c5PBV8So1
NUj3YZbhvrNuXQ6RdD01UCi0jwPValXS7BMbbOAEd/LFFFfaqjTW0V9x7Kw1GO0F9yJ1ghRsrEin
1CgVJRRVpJbGqSWwUUUUxhRRRQAUneiigBaKKKACiiigAooooAKKKKAP/9k=</Data>
</Thumbnail>
</Binary>
</metadata>
