20191223 09002900 1.0 TRUE Areas determined to be non-forest on Crown Land based on photo interpretation and LiDAR data. Open Data GNB DNRED New Brunswick Nouveau Brunswick Non-Forest Areas determined to be non-forest on Crown Land based on photo interpretation and LiDAR data. Non_Forest 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