20241011 09094300 1.0 TRUE Mapa de intensidad Es un mapa que contiene la intensidad de cada pulso laser derivado de los datos LiDAR. Los valores de intensidad estan en 16bit, dando valores bajos de intensidad tonalidades de gris oscuras y valores de intensidad altos, tonalidades de gris claras. Contrato 235 - 2018 INCIGE - UAECD LiDAR Intensidad Sumapaz Bogotá Rural Mapa de intensidades LiDAR <DIV STYLE="text-align:Left;font-size:12pt"><P><SPAN>CC BY-NC-SA 4.0</SPAN></P></DIV> 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