Post Event Woody Debris Assessment – Cyclone Gabrielle Hawke’s Bay
The Hawkes Bay Forestry Group has released the findings of their post-Cyclone Gabrielle Woody Debris Assessment, encompassing the coastal areas and significant catchments of Hawke's Bay. In this study, our team utilized Planet satellite data which has available within...
Drone LiDAR for Post Storm Event Recovery and Future Preparedness (Snow Avalanches in Mt Cook)
In July 2022 a winter storm dropped 550 mm of precipitation on the Southern Alps of New Zealand. This initiated large snow avalanches and a mass movement cycle of debris flows, and erosion, which was the largest observed in decades. Our drone lidar surveys were used...
Algae Bloom Monitoring via Planet’s Near-Daily Satellites for Rotorua Lakes
Interpine offers near-daily access to 8-Band SuperDove Planet satellite imagery for monitoring the water quality of Rotorua's local lakes. As evidenced by this example from last month, this imagery can effectively detect the extent of an algae bloom in Lake Rotorua,...
Using AI for Quantifying Windthrow or Toppled Trees
Using AI to detect windthrow or toppled trees and quantify damage across a stand can allow forest managers to understand the next steps. In this example, a heatmap on the damaged windthrown stems per hectare is provided using down-tree detection using deep learning....
Woody Debris and Slash Sampling Methodology Post Storm Events
Objective Quantify woody debris / slash content along the coastal, and inland catchment areas, characterizing it by woody debris source or type, volume per hectare, and the total volume accumulated. Sampling Methodology Review Line Intercept Sampling Plots Due to the...
Kia kaha to all those Impacted in Cyclone Gabrielle
Many of the Interpine team have friends, family, clients, and colleagues impacted by Cyclone Gabrielle. Our thoughts are with those as they start the journey of recovery. A small token of our support for the communities impacted as we donate $10,000 to help in the...
Post-Storm Assessment via Satellite Imagery
Contact our team to get the latest satellite imagery of your forests or properties for post storm assessment from Cyclone Gabrielle. Interpine will task medium (3-5m) or high (0.5m) resolution imagery immediately to collect data on your area of interest. With some...
Interpine Awarded Best Health, Safety and Wellbeing Initiative for 2022
Great work team, yet another Timberlands HSW Award for 2022. Best initiatives award for the care of our team working in their forest estate. It is all those little things that add up and some passionate innovative staff that want to make a difference that matters....
GPU / Hardware acceleration on the Cloud Remote Desktop to speed up the performance of ArcMap in the Interpine cloud environment
Our team upgraded the Cloud system servers Graphics processing unit (GPU) capability with Azure which will enable a better performance from ArcGIS Pro and ArcGIS Desktop. ArcGIS Pro will automatically detect and use hardware acceleration (the graphics card) if it’s...
Tips to speed up the performance of ArcMap and GeoMaster in the Interpine cloud environment
Sometimes the responsiveness of ArcMap in the cloud environment is less than users would like, leading to frustration and slower work. Here are some tips that may improve matters. General IT measures Your internet connection needs to be above 80 Mbps to get good...
Enhancing Safety Outside Controlled Airspace with FlightAdvisorNZ.io
The Interpine team has recently been working with RNZAF Flight Advisor Service which has been created with NZDF and Aeropath. It is a simple way pilots can access any of our registered UAV flights simply and easily via Flight Advisor (flightadvisornz.io). Targeting...
Case Study Results from use of Emesent Hovermap for Forest Inventory
Our Remote Sensing Consultant, Sam West recently spoke alongside Jan Rombouts from One-Forty-One Plantations at ForestTech 2022 conference in February. Catch up on how Ultra-Dense LiDAR Point Clouds collected using Mobile LiDAR systems like the Emesent Hovermap are...
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