Captured Site GIS Data, Informed Project Planning
Geographic Information Systems (GIS) provide a visual way to understand relationships between complex data in a visual way that can’t be done in charts and spreadsheets. GIS can be used to identify variable patterns and groupings in geographic locations, assessing usage and behavior, and accounting for those factors in conjunction with physical features during project planning. Our firm also uses remote sensing methods, including light detection and ranging (LiDAR), sound (SONAR), and in-house photogrammetry to provide superior, detailed information, even in otherwise inaccessible areas.
Geographic Information Systems (GIS)
Geographic Information Systems (GIS) provide both visual and quantitative methods to understand and communicate complex data that can offer insights to patterns, trends, and relationships that can play a critical role in decision making and planning. Today’s ever-evolving GIS software technology offers the ability to analyze, organize, and visualize many types of big data that offers key insights into countless spatial patterns, relationships, physical characteristics, problems and opportunities, to help resolve local to global issues. Otak specializes in utilizing the latest GIS software suites and advanced tools to provide an array of geospatial analyses and high-quality graphic products in the form printed, digital, web maps and interactive web applications. At Otak, GIS is a key toolset and often a bridge for data between our Water and Natural Resources, Planning, Survey, Transportation and Infrastructure, and Civil Engineering areas of expertise.
Remote Sensing
Our firm is experienced in deploying remote sensing technologies to acquire and analyze light detection and ranging (LiDAR), sound (SONAR), and photogrammetry to provide hi-resolution data in large and often inaccessible areas. Our GIS Specialists are on the cutting edge of harnessing ArcPro’s GeoAI tools on Remote Sensing data for object detection, machine learning for landcover classification, and other applications of pixel classification that apply deep learning algorithms to imagery data. Our team has extensive experience turning LiDAR point cloud data into digital elevation models that can be analyzed for numerous uses, such as slope, hazard analysis, viewshed studies, watershed and basin delineation, and for hydrologic studies and flood simulations. Additionally, if the project at hand requires current hi-resolution data, our GIS and Survey business units have FAA certified remote pilots that are ready to fly our Unmanned Aerial Vehicle’s (UAVs) for inspections, site surveys, and to create large orthomosaic photos or to model terrain.
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