One of the biggest challenges about managing any tract of forestland is it’s mere acreage footprint. Rarely is a forestland less than 50 acres and even at that scale it’s very difficult to inventory the: trees (location, height, width, age, health, etc.), the ground landscape, wetlands, soil, etc. and identify a good plan for harvesting timber with the least impact on the environment and the ecology beneath the foliage.
With modern technology there exist some short cuts that help with this inventory & planning. Use of a geographic information system (GIS) to map the layers of information that matter is critical. But how do we get the data needed into the GIS?
You could walk the many acres but even with a GPS enabled device that approach is time consuming and nearly impossible to get good accuracies.
Remote sensing techniques are super helpful in identifying the tree location/size/species/age/health, in building 3-D models of the landscape, mapping wetlands, and even understanding what wildlife lives there. However, until recently that approach required an airplane with remote sensing devices mounted on the belly and some very manual processes for gathering and inputting the data into your GIS.
With the advent of UAV Drones we now have a more cost effective means of flying the forests. The sensors are open source making it more consumable but not much easier to collect and understand the inventory information needed. That’s where Whiteout Solutions comes in. We have built wrappers around each aspect of the data collection and analyzation process to enable foresters and stewards of forests to gather and report on the forestlands they manage.
We use state of the art technologies in GIS, remote sensing and field data collection to actively build a living picture of the forests our customers manage.
Having nearly real-time updates about these forests provides stewards with better forestry management, better environmental protection and greater return on your forest investment.
Typical deliverables for any forestry project are as follows:
Base map of forest area with roads, town/city/county boundaries, buildings, rivers, ponds/lakes
provide customized field collection with that Uses GPS, Remote Sensing Technology and Airborne LiDAR, Near infra red … to map
Bare Earth Digital Elevation Model (DEM) Data ~1m Resolution
Locate, Identify and Measure Height of Individual Trees - output symbolic maps that display this picture clearly
Hydrology - Stream mapping and classification (optional profiles for waterfalls and elevations)
3-D tree models - build maps that show the forest
Tree crown health and size - output symbolic maps
Canopy distribution: base height, bulk density, height & cover - output symbolic maps
Understory cover - output map showing what lies beneath the canopy
Live vs. dead tree attributes