20210216 10543000 1.0 TRUE 150000000 5000 ItemDescription Intactness This dataset was created for the North Saskatchewan Watershed Alliance, as a part of the Sturgeon Riparian Health Assessment and contains the Intactness scores... <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This dataset was created for the North Saskatchewan Watershed Alliance, as a part of the Sturgeon Riparian Health Assessment. Several metrics of condition were developed to resemble the aerial videography assessment. Upon validation against aerial videography scores, it was determined that three indicators of intactness best represent riparian condition, as assessed by aerial videography. These indicators are: Natural Cover, Forest Cover, and Proportion of Human Footprint. These three indicators were combined to provide an overall intactness score (0 - 100). Categories of riparian intactness (Very Low, Low, Moderate, High) were then assigned.</SPAN></P></DIV></DIV></DIV> Fiera Biological Consulting Ltd. Riparian Health AssessmentSturgeonEnvironment 20210216 /9j/4AAQSkZJRgABAQEAAAAAAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDAREA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD2+gAo AZgqBg8DtigB9ABQAUAFADXDFCEIDdiaAI7ZJEQ+acsTQBNQAUAFABQAySNJFw4BHvQBGzooVUkA A/hHOaAKsl/KkxG0BR/CadgHDVY8HMMoI7YHNKwDoNTjlX96jRn3p2AnW7hdsIWJ9lNICbGKACgA oAKACgAoAazhT90n6CgBQ2exB9KAFoAKACgAoAKAGRv5i7sEc4waAH0AFABQAUAFABQAUAIckcUA N3bSFNAD6ACgAoAa8ipjcwGeBQA6gBrOqFQTjccCgB1ABQAx3C4GRuPTNAGZKtw8jK244546UwEt UzdKCCMc9KAHXysLgsRwehoQFWmAUAWLN2S4G3nPBFJgayt/+qkA7I9KAGs6IMtwPWgBrTRIcO6r kZ5OKAHKysoZSCD0INACknBx1oArW0shZklXDDocdaAJ3YquVXcfSgAUMCSTnPQelAEbLLIoIfym B7DOaAHxq6g75N/p8uKAH0AFABQAZGcUAFABmgAzQAZoAKACgAoAY6jBI60AOGdozQAtABQAySJJ cb1zjpQA+gBCA3UZoAWgAoAoIwaSYSBi7HAGKYFlYQYdknOfSkAgtIQ4YKcj3oAfNCsybW/CgDMm s5IsnG5R3FO4FemBoadGNrSEc5wDSYF+kAUAV5LZpm+aY7M527RQA9IMf6xhJ6blHFAEgAUYAAHo KAFoAKACgAoAKACgAoAKACgBrcEH86AHUAFABQAUAFABQAdBmgBiqCScUAPoAKACgAoAKACgAoAj eSRWwsLOPUMB/OgByElQWXaT1Gc4oAdQAUAFADGcB1Q9WoAo3GnyPLugZFU9Q2adwJ4IbiEBMw7M 84BzSAtUAFACjrQAlABQAUAFABQAUAFABQAUANcEjgkc9qAFUEfxE/WgBaAGgFSBkkH1oAdQAUAJ uHqKAFoAQnCk0AIEGOc/nQA6gAoAKACgA6UAVbi7RU/dygNnsM0WArLeyq4LNlfZetOwF+NmddzD aD0FICSgBCQoJPQUAQ/aowwD5QnkZoAnBBGR0oAZ+88zouz9aAH4oAKACgAoAKAFHWgBKACgAoAK ACgABB6HNABQAUAQSNNGcoocE/lQBPQAUAFABQAUAFAEWw0AS0ANOCQKAHUAMaWNXCNIoY/wk80A QWBPkMN25VdgreozQBYAbeST8vYUAJJIsSF2PAoAzbjUGbcqrhMYzTsBSZpAUxBKQ3faeKAL9vaT Km54kL9QC1FwNCMyFf3iqregOaQD6ACgBCqt1AP1FAC0AFABQAUAFABQAUAKOtACUAFABQBGkhO7 cpAHT3oAdkSIcHg0ACxqn3RjjFADqAGru53etADqACgAoAKACgBGOBmgBssgiiMhGQPSgCOO7jdA c49qAJTuxwc0AKAQST1NAC0AZ0+lefcNIZRtJ3bSuef8KAJhFd42+bHEqj5fLXr9Qeg+lAEVnq0N yCDwwJUsPu5H+PWgAvLuJo2Qc+/amA3ToFljFxIvzEnaOwFDA0qQBQAUAFABQAUAVit0jkRtGyMc 7pCcr+Hf9KALIzgZ60AFABQAyQMUO1tp7GgAi3+Wvmfe70APoAUdRQAlADPMTzPL3fPt3Y9qAFRQ MkHOe9ADqACgAoAKAIZLqOKTYwkLYzhYmb+QoAZ9rc5K2k5UH72AM/gTn9KABL2JphE4aOQjKq+A T+tABLf2sJ2tOhfsincx+gHNAEf9oMZvKSzuWO3cCQq8fiQaAGXdzcxJG4AjLHGw4J/OmBImoQ+X mQlT3460WAJy0sKrCpO7qD2oAkhtkiiCvjd1NIB8EQjduZCP9pyf50ATce9ABx70AV5rqOJ/LVXl lPIjQc//AFqAIEtWuQ73RlAY8RF8AD0O3g0ASSafaOhAgRG7MgAIPtQBXt7JllVpYiwB/iYYH4UA aeB60AIzIoyzYHvQAwTRFtokGaAHB0LYDjPpQA7j1oAOPWgAxQAlABQAUAFABQAUANdiqFgNxA6e tACQyrJEsv3QRnntQBXM09ySLfakfTzWGc/QUASw26Q7iMs78u7dWoAlVQowKAFoAKACgAoAjaeJ FLNIoA680AV2NzdqyxqYIzxvYHcfoO1AEi2NssZj8hWU9dw3E/Unk0ASxwRwriOJUH+yuKACOBIi xVfmb7zHkn8aAI7u1+1Rqu4oVOQcZoAZBp8ULByWkYdC+OPpQBZBzQBIEDDORQBFGDySetADqAIZ 5/JKKqF5H+6ooAqQ+fa3DSXBBSducD7noM0AaNABQAUAV5LtY1YmOT5f9mgDMkumuTuIIA6A0wI6 YEnmBUXaoDj+PHOKQEqXsyDG4H60WAkj1Fxw6g+4osBfjmSRQVYfSkA4SKQSCpxQBA93kqsKq7E9 KYFkE46CkAZ9hQAZoARslcZx7igBksyxRlnPHTHrQBUtrWVkAuD+7UkpH7e9AF4HjAxgelAC7jQA Z9KAKjx3Ul1u87y4VxgL1b60AW8n1oAqXi3B2tBI6kcEKAf50AQwQ3MzH7VLKUH8JAGfyoAdaRRq ZHESbvMbB2jscD+VAFkux7mgCRXJ6ntQAuT60ALk+poAMnB5NACZPrQBATQA4HigCRQR1NACO6Ro XkZVUdSxwBQBXt8zzm7xhCm2MdyM5z+NAEtxF59u8YOCw60AMtJZZUJdEUDgFWznFAFigAoAqTNJ Ldrbo4VQu5+AfwoAjns4kQEMwOeu3P8AKncCs8CKpIkYkDOPLPNFwIxDKRxG/wCVMCNkIY53A+lA Bt9z+dAC5I6GgBggUkgA89gaAJ7Z1t5lYkKoPJJxikBpLqFs0gXzMA8K5+6x9j3pAWaAKs94Efyo V82bIBUZwPqccUARjUViZ47ldkoPyqqk7hx0P40AV7ad7i/MkyHaQfKz0BHp6mgDUDYUFsL+NADY xh227dvt60ASUAFAC0AJxQA1pETqwB9CaAGeerZ2FSR70AR2JDWMZ7kZP170AJ9jO4nzZOTnG80A SwwiL+J2/wB5s0ATZoAPwoAARg8UAJ+FADGUAZAoAQEY+6KAJKAKN0GN7AJWX7OT90927Z/z2oAv UAFACAAdABQAtAEEl3GjFFO+UcbF5Of6UAFtCYlZnOZHO5z/AEoAnoAKACgBjRI2cqDnrxQBmy2M qElRuX2607gVSMHBpgaVhDtUynqelJgSzWcM8iO45Rt2B0PpmkBM8aSJsZQV9CKAM6VLnT1LxO88 IQja7DK+mOP60ATwWEKxqzBjIRliHbknr3oAfd2YuQhD7HTIBxng9f5CgBlxBssRBBjzFGY89yO9 AAonuLMGeFUlB5TOQaALSIqL8qBc9QBQBBb3sV2ZhCGPlNtJIwCfagCpZ313JNJ9ptpkUZ2/u6AN JH3oGwwz2YYNADqAI5IY5OXRWPqRmgCOVEtoJZY0QOFJ6dcUAOtI/KtY0JycZJxigCagAoAKACgA 7GgAyD3oARhkYoAjxQBL3oAbLGssbRuMqwwaAI7YuYdsmS6EqSe+DwfxGKAJqACgBCMgjOKAGxRJ DGEQce/JNAD6ACgAoAKACgAoAz7iydp9ychupPancC7FGIowg6CkA+gAoAp34DGBHz5bvtYA4z6U AWwAoAHAHAoAj88CXy2GD7+lAEmATnFAEZlxOI+DkflQBLQBFCYVLRxKq4OSFGOaAJaACgAoAKAG zRiWJ4ycBlK/nQBDaytJGoI6DBPuDigCYk7gAOO5oAdQAUAFAAQGUgjIPagCGFVV3xFsOcZ9aAJW OFyKAIhQBMDk4oAKACgCMzKs6xMCCwyp9aAJKACgAoAKAGiRGYqHUsOoB5oAdQAUAFABQAUANZ1Q ZZgB70AVxcmWfy4cYHU0wLJIHU0gILyIyQ7l+/GQ6j1IoAlikE0SyL0YZoAbND5vQgcYPFAAVdId q9RwMUAMigIcvJ8zdjQBYoAasaqzMBy3WgB1ABQAUABIAyelAFQt9tfau7yB1bpvPt7UAWVRUACg AAYAFADqACgAoAKACgAoAKAGhBigBwGKAEViSQVIwe/egBaAKsvyX8LsPlKlAfQ9aALJOATgnHpQ BDFdwyvsDFX/ALjqVP5GgBkMk1w5kVkWANhfl5YDvnPTOe1AFqgCpeQKYjKuxHjO/cR6UATLOCIQ wKvIMhfTjPNAEtABQAUAFAEFzb/aFA3bSKAFgtxBnHOe9ADni8x8s2VHRff1oAeV3KVOcEYoAq25 NvN9lZ1KhcxnGD9PegC3QAUAFABQAigjOTnJzQAtACBgSQD060ALQAyVS0TAEg47UALH/q1yMHFA CsyopZugoARSxJyuB2560AKXAcLg5NAC8UAGRQBFcTGGEsqgsflUE4GTQBGIbhlBe6ZWxyEVcfqD QAqwS+cjyXDMEzhQNuc+uOtAFigBkvmbP3RXf/tdDQAyK4DEpJhJR1UmgCVWVhlSCPagCreL5skE J4VmyW7jAzxQBboAjngiuIzHKgZT+lAEOnsTZqp58smMN2YA4zQBaoApXkiTtHao4LM43gN0UcnO Ppj8aAJJeL+2I6lXUj24OfzA/OgCzQAUAFABQAUAFABQAE4GTQBXuUSaMKSQQcqykZU+1ACQSOu6 OYlsH5XI+8Pf3oAnEilto/OgB1ABQAUAFAERRkk3p0Y/MKAJaACgBGAYEHOD6UAMaIMEXoqnOPWg CSgBNo3bu9ADZP8AVn59vvQBCsKw7WaRuPTvQA+4RpoGRMfNwc+lAEqqFUKOgGKAFoAKACgBksMc wxIgbHrQBXmsl2u1uzQyEcbDgE+4oAcgjvrWN3XrzwcFT0P60AN+xy5/4/Jhj7oGP19aAF+zTp80 dy7NjGJOQaAK9pJNZQtFcQMEVjsaP5ht9+9AEs14ZUMVrG8jsCN2NoX3yaADTCDa7TEscqHbIF7k e/egBzMBqK+adoC/uvQk9fxoAt0AFABQAUAFABQAUARysMbT1NACqFZfuj3GKAE8sL9wAUAJCvBb rk8fSgCWgAoAKACgAoAKACgAoAKACgAoARlDDDDIoAY7Rs4ibk9QKAHRqVXBOfegB1ABQAUAFABQ AUAVLPh7gdAJDhPT/wDXQBboAKAGSIzgbZGT6YoAakTo2WmZhjoQKAK1m5hnlt5EZWZ2kRiRhwT2 +lAFx40lQo6hlPY0AV1+0242BFmjHQ7sNj+tAC/bYl/1yvD/ANdBgfmOP1oAnR1kUMjBlPQqcg0A OoAKACgAJwMmgCLO9xtB565HagCQKFGAKAAjII9aAGpkHYccDgigB9ABQAUAFABQAUAMkljhXdLI iA8ZY4oAVHSRdyMGX1BzQA6gBCQoJJA+tAFZb2PkMSxzjMSs4/MCgBk11cPE32SBsgEh5VIHHbHW gCS3nivYRJG43KcPjqrd1PofagCcOQ+0q3Tr2oAdQA122gYGSTgCgBMv/cH50APoAD1oAKAII42S 5mbHyPgj69/6UAT0AFABQAUAQXFss+1g7xyJnY6npn26H8aAIo7t45BDeIsbn7rrko/49jx0oAuU AFAFRCLa7eNhgTvujIHGdvI/TNAFugAoAKAGOegOcHrigBykEcUALQAUANZSTlWwenSgBMsn3uR6 4oAPNT+8KAHAg9CDQAtABQAUARPcRo+x8g+44oAY9tHI3mx/upf+eiqMn6+tACfYkf8A4+Gaf2k+ 7/3yOP0oAVbC0XH+jREjoWXJ/WgCcAKMAAD0FADTIA20As3oKAKsmYpvPjj2tjDp03j69Mjn86AL CyPtBZMEjIA5xQBHMkwAKKhPu5H8qAFYYBQ5BwCvOeaALFABQAUAFABQBFNcxW+PNbbu6cdaACG4 iuFzG4PqO4oAloAKACgCG5t0urd4XAww7jNAEElzcWqq08aMnCkxk5z9KALtAFe5hdzHJEVEkZyN 3Qg8EUALFOxk8qZNkmMjByGHtQBMSAMmgCNmZj8gPHrxQAgEgAPJYdcnigCRQQOep5NAGNPNMZmA kbGfyqgNO0n82IAnLAc1IFigAoAMD0oAbsX+6PwoATa46MCPcUAG1j95/wAqAEx5ZUAkgnHNAD9i lslRn1oAR22LnBPbAoAb5jDrG34UAL5mfuqxP0oAP3jDkBfxoAcqhBgCgBaACgBCMjFAC4oAKACg AoAKACgAwD1FADGAU7go3HjNACMTGwJJIPFADyyg4J5oAGYKMk4FADDI3VULD16UAVbwM0tvJsc+ W+Sowcj1xQBbSVJI96tlfyoADLgEhWJAyBjk/SgDInW+kullCshK4AVuPx9KANGKKQt+8mZwOOOB QBZoAKACgCKW2ilHzKM+ooASC2SDO3JJ7mgCagAoAKACgAoAKAEYbhigBoVzwX49QOaAAIdwLMTj oKAH0AFABQAUAFABQAUAFABQAUAFABQAUAIWA60AMKF+WJHoPSgBxQFQp5AoAPLTbjHFAEZRgwXc CvbNAE1ADWQNjsR0NAAE5yTkigBSqsRkZxQA3yk7DH04oAcFCjAHFAC0AFABQAUAFABQAUAFABQA UAFABQAUAFABQAUAFABQAUAFABQAUAFAEcs3ln/Vu3+6M0AM+0/vQnky899vFAE9ACEhRk0ANGWb OCBjvQA+gAoAKAEYZGKAAHIzQAtABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAF ABQAUAFABQAUAFABQAUAFADXXcuPxoAVWDKCKAFoAKACgBCcDNACKCBzQA6gAoAKAGIHBYuc5PH0 oAfQAUAFABQAUAFABQAUAFABQAUAFABQAUAGaACgBc0AJQAZoAhlto5pA77sgY4JFAEw4AA6CgAo AM0AGaAInjkZiVmZBjoAD/OgBDFLji4bPrtH+FAEpIVST0FADP3h54X8c0AOjXYuCcmgB1ABQAUA NfPGOtADqACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgBkk8UADSyKg9WOKACOWOZA8bq6nup yKAH0AFABQAUAFABQAUAFABQAUAV7q3E6jBII7gUAEEZiRUBJx1NAEjguQi9AQWNAEmKACgAoAKA CgBrdM9xQAu4E470ARBbnzMmWLZ/d8s5/PNAE1ABQAUAFABQAUAFABQAUAFABQAUAFABQAUABAPU ZoAQAKMAAD2oAWgAoAKACgAoAKACgAoAKACgD//Z