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<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;This tiled dataset includes 12 images that cover the entire NWT with an RGB colour composite dataset. The images highlight areas of landscape change over a 35 year period dating from 1984 to 2019. &lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;The analysis approach is based on a Tasseled Cap analysis to develop brightness, greenness, and wetness indices for all cloud-free image pixels spanning this period. For each pixel location, regression is applied to determine the linear trend over 35 years for each of the three indices. The composite image of these results illustrates areas of development, vegetation greening, fire, geomorphology and other forms of landscape change that can be interpreted with the use of a colour wheel as a guide. Refer to various documents to reference this colour wheel interpretation guide – including the summary report for this dataset issued by Caslys Consulting Ltd. (Long-Term Landscape Change Detection for NWT) or technical papers issued by lead author Dr. Robert Fraser (NRCan) for various projects (LARCH or ParkSPACE). &lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;These results build upon past efforts led by Canada Centre for Earth Observation and Mapping and Parks Canada while being made possible by advances in cloud computing. The relatively seamless dataset across the NWT is based on a sampling of the entire Landsat TM, ETM and OLI archive by selecting only the best clear-sky pixels from each year during the peak greenness of the summer season.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
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</spatRepInfo>
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<RefSystem>
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</identCode>
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</metadata>
