{'fraction_non_alphanumeric': 0.02981029810298103, 'fraction_numerical': 0.01038843721770551, 'mean_word_length': 4.922459893048129, 'pattern_counts': {'":': 0, '<': 2, '<?xml version=': 0, '>': 1, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
A COMPARISON BETWEEN CANADIAN DIGITAL ELEVATION DATA ( CDED ) AND SRTM DATA OF MOUNT CARLETON IN NEW BRUNSWICK ( CANADA )

Digital elevation models (DEM) are basic part of the information about an area. Knowledge about DEM quality is important for their use in management projects, engineering projects and geomorphologic studies. Errors and imprecision of DEM can impact a lot on the resulting models one makes or uses in a project. It’s essential to have accurate topographical information from a DEM.The Centre for Topographic Information (CIT) of Natural Resources Canada produced a particular DEM for the Canada country. These are called Canadian Digital Elevation Data (CDED). The CDED DEM has been used for many types of studies and projects mostly in Canada.The relative accuracy of Canadian Digital Elevation Data of Mount Carleton was assessed using Shuttle Radar Topographic Mission (SRTM) model and profiles/points from Geoscience Laser Altimeter System (GLAS) onboard ICESat. This relative accuracy was examined as a function of surface slope and land cover. Specifically, we analyzed the effect of slope and vegetation type on topographic information (elevation).The particularity of Mount Carleton is that Mount Carleton is the highest mountain in the Maritimes Provinces with the peak at 817 meters and it’s heavily wooded. More than 50% of the vegetation is dominated by coniferous trees and the average slope is 5.45° ± 4.72°. Terrain was segmented into three sloping regions (≤ 5°, 5° < slope < 15°, > 15°), and also was segmented to aspect regions, standardized to eight geographical directions.From the correlation between CDED and SRTM, we founded a systematic error of less than 2.0 m in absolute value with a standard deviation of around 16 m. We observed that those values are slope-dependent and the influence of their orientation is not significative. A relative influence is observed for the north directions. The broadleaf is the species which has the highest concentration of errors and the obtained rootmean-square error (RMSE) for SRTM model comparing to CDED fulfill the 16 m RMSE specification mission. ICESat profiles/points used in the study confirmed the good accuracy of CDED.