STEMS

STEMS (Single TrEe Metrics and Stand assessment) is a simple natural color (RGB) image based powerful, versatile tool designed for optimizing forest management strategies. This automated workflow leverages advanced computer vision techniques and artificial intelligence to deliver high accuracy (75 - 90%) stand portrait with detailed tree inventory (spatial location tree species, total tree height, diameter-at-breast-height, basal area, volume) and hence enabling enhanced block-level compilations. With a very limited restriction in the way input data needs to be acquired, STEMS offers several advantages including cost-efficiency and robustness across diverse stand conditions. It has a good potential to be portable across platforms (aerial / satellite) and seamlessly integrate with LiDAR.

The current version of STEMS works in managed commercial forests of Eastern Canada, although preliminary versions of the model are available for testing in western Canada.

The confidence in estimating STEMS outputs is higher in the eco/bioclimatic zones where the models were developed. The models can be used with caution in areas with similar conditions and species distribution, such as New Brunswick and Nova Scotia.

Managed forests of Eastern Canada
v1.0
Managed forests of Western Canada
v1.1
List of commercial species that the model is capable of predicting is given below
Eastern Canada (19 commercial tree species) Western Canada (16 commercial tree species)
Conifers Deciduous Conifers Deciduous
Balsam FirBalsam PoplarDouglas FirBalsam Poplar
Red SpruceBlack AshSpruce (hybrid)Trembling Aspen
Eastern White CedarLargetooth AspenLodgepole PineWestern Maple
Red PinePin CherryPonderosa PineWhite Birch
Black SpruceRed MapleBalsam Fir
Jack PineRed OakBlack Spruce
White SpruceSugar MapleSub Alpine Fir
Tamarack / LarchTrembling AspenTamarack / Larch
White PineWhite BirchWestern Red Cedar
Yellow BirchWestern Hemlock
White Pine
White Spruce
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