Facebook
TwitterThree classes of impervious surfaces--buildings, roads, and other impervious--were mapped for New Jersey through a semi-automated process developed using eCognition software. The automated feature extraction workflow used a Geographic Object-Oriented Image Analysis (GEOBIA) framework to extract the three impervious classes from the source datasets which include digital imagery, LiDAR point clouds and several vector data sets including Land use/land cover, road centerlines and hydrographic features, using a rule-based expert system.
Facebook
TwitterAxis Geospatial has contracted Atlantic to obtain professional services related to the development of Light Detection and Ranging (LiDAR) data between April 2015 and June 2015. This data set is consisting of LiDAR Point Cloud, Classified LiDAR, Digital Elevation Model, and LiDAR Intensity Images which all pieces encompasses the entire 2,424 Square miles (6,278 km) of the NY_WarrenWashingtonEss...
Facebook
TwitterURS Corporation contracted EarthData International to aquire topographic elevation data for 82 square miles in Essex and Middlesex Counties, Massachusetts during 2006. Products generated include lidar point clouds, 3D hydro breaklines, and lidar bare-earth elevation models in LAS format using lidar collected with a Leica ALS-50 Aerial Lidar Sensor.
Lidar Sensor Specifications: Sensor: Leica AL...
Not seeing a result you expected?
Learn how you can add new datasets to our index.
Facebook
TwitterThree classes of impervious surfaces--buildings, roads, and other impervious--were mapped for New Jersey through a semi-automated process developed using eCognition software. The automated feature extraction workflow used a Geographic Object-Oriented Image Analysis (GEOBIA) framework to extract the three impervious classes from the source datasets which include digital imagery, LiDAR point clouds and several vector data sets including Land use/land cover, road centerlines and hydrographic features, using a rule-based expert system.