Forest and tree monitoring
- Deforestation and illegal-activity detection
- Boundary demarcation
- Land-use classification and change detection
- Wildfire management
- Timber operations and assessment
Forest intelligence + decision supportSee the forest as
a living data system.
WiseGIS combines satellite imagery, UAVs, LiDAR, mobile field devices and IoT data in an interactive geoportal and rule-based decision-support platform for environmental monitoring.
Discuss this vertical
A unit of Envirotask Services Pvt. Ltd.30+Potential forest data attributes
10 cmStated UAV site-survey accuracy
3DForest and terrain modelling
Use cases
Monitor change, define boundaries and plan field action.
Monitoring objectives
- Forest boundary demarcation — one time
- Forest encroachment — weekly, monthly or quarterly
- Mining in forest
- Fire-line monitoring — yearly
- Water-body change
- Forest-cover change
- Forest-type mapping
Unified acquisition
Complementary sensors balance coverage, precision and cost.
Inputs
- Satellite imagery
- Drone imagery
- LiDAR
- Mobile field devices
- DEM / DSM
- IoT integration
Data programme
- Central repository
- Yearly data updating
- Imagery up to 0.8 m
- 30+ potential attributes
- 3D forest modelling
- Precision data from UAV imagery
UAV capability
High-fidelity evidence for difficult and high-risk forest operations.
Field uses
- Site-management planning
- Site surveys stated up to 10 cm accuracy
- Sand-mining evidence
- Poaching evidence
- Image and video evidence
- Digital site boundaries
- Encroachment detection
- Water-body mapping
- 3D slope mapping
- Tree-species detection
- Carbon-sequestration assessment
Management outputs
- Digital Elevation Model (DEM)
- Canopy Height Model (CHM)
- Tree density
- Carbon stock
- Raw-image correction and tiled drone imagery
Aerial survey profiles
- 20 MP and 42 MP camera profiles
- GSD stated at 0.8 cm/px
- Real resolution stated at 0.9 cm/px
- Reference altitude of 65 m / 213 ft
- Plant-counting algorithms for inventory and replanting decisions
LiDAR + 3D site maps
From canopy returns to individual-tree intelligence.
LiDAR characteristics
- High-speed, high-density topographical collection
- Day or night scanning in clear flying conditions
- Intensity reflectance plus x-y-z coordinates
- Multiple vegetation returns from canopy to ground
3D outputs
- Georeferenced coloured point cloud
- Tree and mangrove locations
- Forest inventory
- DEM, CHM and DSM
- Flood modelling
- Forest-fire management
Plantation intelligence
- Individual trees and trunks
- Canopy height, DBH and stem area
- Plant GPS coordinates
- Actual plant count
- Pre- and post-plantation imagery
- Growth and plant-health monitoring
- Empty-pit identification
- Automated tree counts from ortho-maps
- Flight-path videos with coordinates, date and time
Wise Platform
Last-mile environmental visibility in one data-ready platform.
Experience
- Interactive geoportal
- Rule-based decision-support system
- Smart dashboards
- Data insights
- Mobile access
Technology stack
- Cloud computing
- Artificial intelligence and machine learning
- Big data
- LiDAR data
- API integration
- Satellite data
- Drone data
- Mobile data
- IoT integration
Forest intelligence outputs
From raw imagery to a decision-ready forest model.
These are the original geospatial, UAV and LiDAR visuals used in the company profile, presented here as a web-native field-to-platform sequence.
01LiDAR forest returns
Canopy-to-ground laser returns reveal forest structure.
02Mobile field GIS
Last-mile maps and data access on a field device.
03Satellite analysis
Remote-sensing imagery for terrain and land-use interpretation.
04Aerial canopy
High-resolution overhead imagery for forest-cover assessment.
053D terrain model
Surface and canopy layers separated for spatial analysis.
06UAV + LiDAR system
Sensor and flight geometry supporting accurate 3D collection.
07Plantation point cloud
Individual planting points derived from aerial survey data.
08Plant-count detail
Fine-scale plantation inventory and pattern inspection.
09Aerial survey
High-resolution source imagery for mapping and change analysis.
10Elevation model
Colour-coded terrain output for accurate aerial surveys.
11Plantation grid
Row-level inventory evidence for monitoring and replanting decisions.
12Plant-count dashboard
Annotated plantation data connected to operational review.
13Tree-return profile
Multiple LiDAR returns capture canopy, trunks and ground.
14Forest point cloud
A georeferenced coloured 3D representation of the forest.
15Mangrove flight plan
Georeferenced survey segmentation for mangrove mapping.
16Georeferenced flight video
Video evidence carrying path, coordinates, date and time.
Connected by Envirotask
