AGRICULTURE & FORESTRY

GDS provides highly accurate dense topographic and imagery survey data for agriculture and forest assessment allowing for carbon credit analysis, canopy structure and forest management. GDS utilizes the latest waveform LiDAR technology that captures unlimited returns, providing the most detailed information on canopy structure for canopy density information, tree counting and species identification analysis.

12
LiDAR Point Cloud From Forested Area

INNOVATIVE GDS SOLUTIONS

The technology can create a topographical map of the area and reveals the slope and sun exposure of the land. The potential to ‘see through’ woodland and farmland enables the ability to increase the productivity of the wood and crop quality, reduce cost and increase profit, while maintaining the environmental quality.

a)Modeling of the bare earth, canopy height and sub canopy detail (vegetation penetration). b) Allows for investigation of archeological remains, hydrographic pathways, and soil erosion. Tree crown count and calculations. c) Calculation of density crowns to show the areas of higher tree density, which may be useful for fire modeling and silviculture. d) Allows for cost analysis of logging concession. e) Provide accurate information for topographic mapping, feature counting, tree counting, land acquisition, and compensation.

COMPLETED PROJECTS

  • Airborne LiDAR and Digital Imagery Survey in Danum Valley, Malua and Ulu Segama, Sabah.

  • Airborne LiDAR and Digital Imagery Survey Near Muruk Miau, Sipitang, Sabah.

  • Airborne LiDAR Survey for Proposed Agriculture Project at Cameron Highlands

  • GPS Perimeter Survey for Plantation in SabahSumatera (Damai) Plantation Topo Survey.

  • Borneo Pulp Aerial Topographic Survey.

d
LiDAR Point Cloud Showing Vegetation Profile

CASE PROJECT

Airborne LiDAR and Digital Imagery Survey in Danum Valley, Malua and Ulu Segama, Sabah.

  • Project Area: 23.33 km²

  • LiDAR data acquisition and GPS Static Survey: 4 days

  • DTM/DEM & Contour Processing: 2 days

  • Orthophoto Mosaic Processing: 2 days

  • LiDAR Density: More than 51,183,127 points in 1km x 1km (51.18 points/m²)
  • LiDAR Points Hitting the Ground: More than 601,831 points in 1km x 1km (0.602 points/m²)
  • Average Point Spacing: 1.29 m
45
Orthophoto of the Project Area

PROJECT DESCRIPTION:

An airborne LiDAR and digital imagery survey over Danum Valley was conducted for Eidgenossische Technische Hochschule (ETH) University. The main purpose of this project was to provide necessary data and information for their forest biomass research. The total project area was 23.33 km2, which was sub-divided into Danum Valley (2.1 km2), Ulu Segama (9.0 km2) and Malua (12.2 km2). 

The terrain for this project involved steep slopes and undulation that were difficult for the pilot to follow. In addition, the helicopter was beset during acquisition by low clouds which blocked the scanner and by abnormal wind, which pushed it from side to side, making it hard to maintain a straight line. Despite this, data acquisition was completed in four flight missions over a period of four days. The acquired LiDAR data had an average ground point spacing of 1.29 m and an average point density of 51.1 points/m2, which greatly exceeded the client’s requirements of minimum 16 points/m². Up to eight returns per pulse were recorded. LiDAR cloud point data processing was based on the standard WGS84 coordinate system, and the raw data, including raw waveform data, was handed directly to the client (a research team) for them to perform their own analyses.