{"id":7954,"date":"2022-01-09T19:35:20","date_gmt":"2022-01-09T19:35:20","guid":{"rendered":"http:\/\/www.optimaaero.pl\/en\/?p=7954"},"modified":"2022-07-20T09:44:25","modified_gmt":"2022-07-20T09:44:25","slug":"inwentaryzacja-zieleni-kompleksow","status":"publish","type":"post","link":"https:\/\/www.optimaaero.pl\/en\/inwentaryzacja-zieleni-kompleksow\/","title":{"rendered":"Inventory of greenery, forest complexes"},"content":{"rendered":"

We make a detailed inventory of forest complexes, parks, gardens and individual trees in terms of areas, locations and stand characteristics. We use the method of airborne laser scanning combined with low-altitude photogrammetry.<\/p>\n

Our technology and equipment allow us to fly at lower altitudes and at lower speeds than measurements from an airplane. This allows us to create a denser and more precise point cloud, as well as greater penetration into the complex. The result is better classification of trees, more accurate modeling of crown, shape and ground.<\/p>\n

Documentation is the result of precise measurement, not estimation.<\/p>\n[vc_empty_space height=\"44px\"][vc_gallery type=\"nivo\" interval=\"3\" images=\"10807,10805,10806,10747\" img_size=\"full\" onclick=\"\"]<\/div><\/div><\/div>

The technology used allows for detailed and accurate:<\/p>\n

- inventory of forest complexes, parks and urban areas, allotment gardens<\/p>\n

- inventory of forest stand, its selected features<\/p>\n

- quantitative, area and volume summaries<\/p>\n

- assessment of the condition of trees, presentation of trees damaged or developing abnormally<\/p>\n

- monitoring of the condition of greenery, comparison of changes<\/p>\n

- location of greenery against the background of real estate cadastre data, overruns.<\/p>\n

We use advanced algorithms and programs for automatic detection and classification of objects, so we can quickly obtain quantitative data, as well as perform clustering and segmentation of objects.<\/p>\n<\/div><\/div><\/div><\/div><\/section>

POINT CLOUD CHARACTERISTICS:<\/strong><\/p>\n\n\n\n\n\t\n\t\n\t\n\t\n\t\n\t\n\t
Point cloud density (LiDAR)<\/td>~400 pts\/m2<\/td>\n<\/tr>\n
Point cloud density (photogrammetry)<\/td>~2500 pts\/m2<\/td>\n<\/tr>\n
Accuracy<\/td><3 cm<\/td>\n<\/tr>\n
Data format<\/td>LAS \/ LAZ \/ E57 \/ TXT<\/td>\n<\/tr>\n
Color palette<\/td>RGB \/ monochromatic \/ by elevation<\/td>\n<\/tr>\n
Classification<\/td>ASPRS standard<\/td>\n<\/tr>\n
Coordinate System<\/td>adapted to project<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n[vc_empty_space height=\"20px\"]

ORTHOPHOTOMAP CHARACTERISTICS:<\/strong><\/p>\n\n\n\n\n\t\n\t\n\t\n\t\n\t\n\t
Data format<\/td>GeoTIFF \/ JPEG \/ PDF<\/td>\n<\/tr>\n
Ground Sampling Distance<\/td>od 1 cm<\/td>\n<\/tr>\n
Accuracy<\/td><3 GSD<\/td>\n<\/tr>\n
Coordinate System<\/td>adapted to project<\/td>\n<\/tr>\n
Color palette<\/td>24 bit RGB<\/td>\n<\/tr>\n
Compression<\/td>LZW \/ JPEG<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n[vc_empty_space height=\"44px\"][vc_raw_html]JTNDc2NyaXB0JTNFJTBBJTIwJTIwZG9jdW1lbnQud3JpdGUlMjglMjclM0NhJTIwaHJlZiUzRCUyMiUyNyUyMCUyQiUyMGRvY3VtZW50LnJlZmVycmVyJTIwJTJCJTIwJTI3JTIyJTNFJTNDYiUzRSUzQyUyMEdPJTIwQkFDSyUyMFRPJTIwUFJFVklPVVMlMjBQQUdFJTNDJTJGYiUzRSUzQyUyRmElM0UlMjclMjklM0IlMEElM0MlMkZzY3JpcHQlM0U=[\/vc_raw_html]<\/div><\/div><\/div><\/div><\/section>

\/<\/span> OTHER FROM ENVIORNMENT<\/h1>