Evaluation of Landscape Vegetation Inventory 2014 Forest Analysis & Inventory Branch (FAIB)

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Presentation transcript:

Evaluation of Landscape Vegetation Inventory 2014 Forest Analysis & Inventory Branch (FAIB)

Agenda  Overview of the LVI methodology and background of the LVI projects (Xiaoping)  Summary of the evaluation results 1.WL ground vs LVI estimates (Margaret) 2.WL ground vs kNN (IAN) 3.QN ground vs LVI (Xiaoping)  Summary and next steps

A new and low cost inventory at landscape level Applications: TSR, silviculture and inventory planning, strategic analysis Completed Quesnel TSA west (1 million ha) in 2011 Williams Lake TSA west (1.7 million ha) Landscape Vegetation Inventory (LVI)

LVI Design Interpolation and classification Classification map and attribute database DCS Sampling (attributes) Landsat Segmentation and Stratification (spatial)

Forest Analysis & Inventory Branch INITIAL SEGMENTSPHOTO INTERPRETED SAMPLES MATCHING UNKNOWN TO KNOWN SAMPLING MAPPING MAPPING OPTIONS 2908 photo samples

WL: 84 9-points clusters, plus 31 CMI plots QN: 83 9-points clusters Objectives: - Primary: assess sample estimates at population level - Secondary: assess DCS photo interpretation and kNN To integrate a ground sampling into LVI 3. Ground Sampling

Cost and Benefit Analysis Landsat segmentation and classification done in-house The major cost components: photo acquisition, interpretation, kNN and analysis WL: $0.12 /ha, QN: $0.10 /ha, Ground sampling: WL: $0.11/ha QN: $0.12/ha

1.Overall LVI estimates of live tree volume, species, and height/age are in agreement with the ground 2.Photo interpretation significantly underestimates dead trees 3.Inconsistent utilization and net down processes in VDYP7 and ground compiler 4.Adjustment: dead volume, and live BA 5.Needs for improving interpretation of basal area and TPH 6.Improve classification (kNN and alternatives) Summary

LVI Database: FLNR internal: \\mitten.dmz\ftp\external\!publish\LVI\WL_database\LVI_database.gdb External: _databases/LVI_database.gdb The LVI polygon layer will be cut into VRIMS and published in LRDW after 2014 projection