{"id":10876,"date":"2026-02-03T09:42:45","date_gmt":"2026-02-03T08:42:45","guid":{"rendered":"https:\/\/www.sintegra.fr\/?p=10876"},"modified":"2026-02-03T09:42:45","modified_gmt":"2026-02-03T08:42:45","slug":"mapping-switzerland-from-the-sky-mission-lidar-xxl-2","status":"publish","type":"post","link":"https:\/\/www.sintegra.fr\/en\/mapping-switzerland-from-the-sky-mission-lidar-xxl-2\/","title":{"rendered":"Mapping Switzerland from the sky: Mission LiDAR XXL"},"content":{"rendered":"[vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none”][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” enable_animation=”true” animation=”fade-in-from-bottom” animation_easing=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid” column_padding_type=”default” gradient_type=”default”][vc_column_text]\n

High-precision cartography for the Swiss territory<\/h2>\n[\/vc_column_text][vc_column_text]In 2022, the Swiss Federal Office of Topography, swisstopo, has launched a vast campaign to collect topographic data throughout the country. The aim is to produce a cloud of classified points, as well as digital terrain models (DTMs) and surface models (DSMs) based on high-precision LiDAR data. SINTEGRA was chosen to carry out all the necessary acquisitions and processing over an area of almost 7691 km\u00b2<\/strong>, covering the cantons of Basel-Stadt, Basel-Landschaft, Solothurn and Bern, as well as a buffer zone.[\/vc_column_text][image_with_animation image_size=”full” animation_type=”entrance” animation=”None” animation_movement_type=”transform_y” hover_animation=”none” alignment=”” border_radius=”none” box_shadow=”none” image_loading=”default” max_width=”100%” max_width_mobile=”default”][\/vc_column][\/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none”][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” enable_animation=”true” animation=”fade-in-from-bottom” animation_easing=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid” column_padding_type=”default” gradient_type=”default”][image_with_animation image_url=”8923″ image_size=”full” animation_type=”entrance” animation=”None” animation_movement_type=”transform_y” hover_animation=”none” alignment=”” border_radius=”10px” box_shadow=”none” image_loading=”default” max_width=”100%” max_width_mobile=”default”][vc_column_text]\n

Flight plan of the swisstopo project entrusted to SINTEGRA and height distribution<\/em><\/p>\n[\/vc_column_text][\/vc_column][\/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none”][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” enable_animation=”true” animation=”fade-in-from-bottom” animation_easing=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid” column_padding_type=”default” gradient_type=”default”][vc_column_text]\n

A technical challenge: between high mountains, weather and seasonal constraints<\/h2>\n[\/vc_column_text][vc_column_text]The mission entrusted to us proved particularly demanding. Spanning three years (2022 to 2024), it had to comply with two major constraints: the flights had to take place outside the foliage period and without snow cover. This was essential to guarantee optimum survey quality, but also complicated the logistics: weather availability, restricted shooting windows, high-altitude flights over varied terrain. <\/p>\n

We therefore divided the acquisition into multiple flight sessions, carried out with different aircraft (C208, P68, etc.) equipped with Riegl VQ780IIS<\/strong> sensors for LiDAR and PhaseOne iXU-RS<\/strong> for photography. A total of 88 flight hours<\/strong> were required to complete the coverage.[\/vc_column_text][\/vc_column][\/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none”][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” enable_animation=”true” animation=”fade-in-from-bottom” animation_easing=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid” column_padding_type=”default” gradient_type=”default”][image_with_animation image_url=”8922″ image_size=”full” animation_type=”entrance” animation=”None” animation_movement_type=”transform_y” hover_animation=”none” alignment=”” border_radius=”10px” box_shadow=”none” image_loading=”default” max_width=”100%” max_width_mobile=”default”][vc_column_text]\n

PhaseOne iXU-RS photo sensor and Riegl VQ780IIS LiDAR sensor<\/em><\/p>\n[\/vc_column_text][\/vc_column][\/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none”][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” enable_animation=”true” animation=”fade-in-from-bottom” animation_easing=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid” column_padding_type=”default” gradient_type=”default”][vc_column_text]\n

LiDAR data treated with rigor: AI, manual control and centimeter accuracy<\/h2>\n[\/vc_column_text][vc_column_text]In addition to acquisition, we implemented a complete LiDAR processing process<\/strong>: GNSS and inertial trajectory calculation, point seed generation, inter-band adjustment and classification.<\/p>\n

This hybrid approach enabled us to leverage the power of the TerraSolid<\/strong> software suite for the first zones, then theartificial intelligence<\/strong> developed with GEOFIT<\/a> to automate the classification for the following zones. The result: seedbeds classified into 9 thematic classes<\/strong>, ranging from soils and buildings to vegetation, bridges and high-voltage lines. <\/p>\n

Each classification was then checked manually<\/strong>: our operators verified and corrected any errors, using tools such as the hypsometric TIN for the ground class. This dual control – machine and human – enabled us to achieve an average vertical accuracy of 2.6 cm<\/strong>, validated by GNSS measurements on the ground.[\/vc_column_text][nectar_image_comparison image_url=”8932″ image_2_url=”8924″][vc_column_text]\n

City of Bern with RGB orthophoto view, then MNS<\/em><\/p>\n[\/vc_column_text][\/vc_column][\/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none”][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” enable_animation=”true” animation=”fade-in-from-bottom” animation_easing=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid” column_padding_type=”default” gradient_type=”default”][vc_column_text]\n

A masterful technical patchwork: between know-how and operational excellence<\/h2>\n[\/vc_column_text][vc_column_text]One of the greatest technical challenges wasinter-band adjustment<\/strong>, made complex by the staggered duration of the acquisition and the variability of the terrain. From one month to the next, morphology could change radically, particularly in the high mountains. We met this challenge by integrating precise vector layers (roads, paths, buildings) into our algorithms, and by concentrating the adjustment on stable zones, free of vegetation or snow. <\/p>\n

At the same time, we produced a technical orthophoto<\/strong> from RGB images orthorectified on the LiDAR DTM, with a ground resolution of 20 cm<\/strong>. This product, both visual and metric, complements the digital models to provide a comprehensive representation of the terrain.[\/vc_column_text][\/vc_column][\/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none”][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” enable_animation=”true” animation=”fade-in-from-bottom” animation_easing=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid” column_padding_type=”default” gradient_type=”default”][nectar_image_comparison image_url=”8938″ image_2_url=”8936″][vc_column_text]\n

MNS fading with hypsometric staining<\/em><\/p>\n[\/vc_column_text][\/vc_column][\/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none”][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” enable_animation=”true” animation=”fade-in-from-bottom” animation_easing=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid” column_padding_type=”default” gradient_type=”default”][vc_column_text]\n

Complete deliverables for satisfied customers<\/strong><\/h2>\n[\/vc_column_text][vc_column_text]Nous avons livr\u00e9 l\u2019ensemble des produits attendus par swisstopo, tous conformes aux sp\u00e9cifications :<\/p>\n