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The overall objective for this project is to identify 'problem' areas (marginally stocked / NSR or areas where crop trees are overtopped by deciduous and/or brush cover) within a series of backlog openings through the use of remote sensing techniques. Cut blocks were analyzed and resultant datasets that present a digital 'pre-stratification' were produced. Once the process has identified problem areas in every block within the AOI, the next step is to apply a ranking or prioritization of treatment based on an input criteria e.g. amount of deciduous as a per block percentage. Essentially the process assigns a priority ranking and estimated cost of treatment for all blocks of interest within a project AOI. The project AOI can be a pre-determined set of 1:20000 map tiles, an operating area, or even a Forest District. It is important to note that the project objectives do not include the reduction or replacement of on-ground field surveys. The analysis and resultant data are considered catalysts to the field survey process ? essentially providing a tool for cost and time effective planning in the pre-implementation stage.
Kerry Deschamps.
Deschamps, Kerry. 2006. Identification and prioritization of backlog openings for incremental silviculture investment opportunities using remote sensing techniques: project progress report. Forest Investment Account (FIA) - Forest Science Program. Forest Investment Account Report. FIA2006MR199
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