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GIS in Forestry for Better Forest Management  

Blue Marble’s GIS in forestry software connects office analysis with field operations across vast and often inaccessible terrain. Global Mapper and Avenza Maps provide a complete workflow, from lidar forestry analysis and forest inventory to verified, offline-ready maps deployed directly to field crews.

Common forestry workflow challenges

Large Lidar Datasets Strain Fragmented Workflows

Large lidar point clouds and imagery are hard to manage when workflows span multiple applications and exports.

Remote Sites Demand Offline Execution

Crews work beyond coverage and still need maps, observations, and markups captured accurately on-site every shift.

Repeatable Monitoring Requires Consistent Baseline Datasets

To track canopy, erosion, and disturbance, teams need repeatable analysis and field validation without rebuilding workflows every season.

Blue Marble connects office analysis with field execution. Global Mapper processes lidar and imagery, validates coordinate systems and maintains spatial accuracy, and Avenza Maps delivers verified maps directly to field crews.

Forestry teams need spatial data that stays accurate across large, changing landscapes, particularly with the increasing risk of forest fires. Global Mapper helps you process lidar, perform forestry vegetation analysis, analyze vegetation indices, and build terrain and canopy models with confidence. Blue Marble’s integrated GeoCalc geodetic engine resolves coordinate transformations before data leaves the office, even across jurisdictions and mixed data sources, maintaining spatial accuracy from analysis through field validation. In the field, Avenza Maps puts offline, GPS-enabled maps on every device, so observations return aligned and ready for analysis.

Key outcomes

Purpose built for forestry

Forestry teams often rely on separate tools for lidar processing, vegetation analysis, map preparation, and field data collection. Global Mapper and Avenza Maps connect those workflows, helping teams move from analysis to field validation without rebuilding datasets, reformatting outputs, or sacrificing accuracy.