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Landscape Vegetation Inventory Process & Product Evaluation

Landscape Vegetation Inventory Process & Product Evaluation. Xiaoping Yuan Forest, Lands and Natural Resource Operations. Ian Moss Tesera Systems Inc. LVI Process Williams Lake. Weighted Ground vs. Photo Based Estimates: Species . Pl (73%), Fd (13%), Sx (12%), At(2%)

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Landscape Vegetation Inventory Process & Product Evaluation

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  1. Landscape Vegetation InventoryProcess & Product Evaluation Xiaoping Yuan Forest, Lands and Natural Resource Operations Ian Moss Tesera Systems Inc

  2. LVI ProcessWilliams Lake

  3. Weighted Ground vs. Photo Based Estimates: Species • Pl (73%), Fd(13%), Sx(12%), At(2%) • Leading species  76% • Species percentage agreement • Pl (83 %) • Fd (63%) • Sx (50%) • At (50%)

  4. G vs. P: Height and Age  RMA

  5. G vs. P: BA and MVOL X Leading Pl vs. Non Pl

  6. Assigning Nearest Neightbours • Calibrate model using entire dataset. • Apply model to each BEC Zone separately. • Given nearest neighbours (50) find the one with the Least Spectral Difference. • Marginally better than unconstrained nearest neighbour assignments (weighted fuzzy c-KHAT statistic G vs NN P estimate); perhaps at a cost (RMSPE P estimates – Reference dataset).

  7. Basal Area Adjustment Ratios • OLS, XTAB, LMS (Least Median of Squares) • Pl (N=61) • Pl in SBPS: 0.251-0.401 (LMS: 0.107; XTAB:0.552) • Pl in MS: 1.137 – 1.49 (LMS: 0.959; XTAB: 1.544) • Find adjustment ratios such that sample based estimates of volume = population based assuming VBAR (VDYP 7) is constant. • Other? SX (0.46- 0.76); Not enough samples.

  8. Thank You

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