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Backlog planning using Remote Sensing Darin
2007
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D
Abstract: 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 will be analyzed and resultant datasets that present a digital pre-stratification will be 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 maptiles, 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.
 
Darin. 2007. Backlog planning using Remote Sensing. Forest Investment Account (FIA) - Land Base Investment Program. Forest Investment Account Report
 
Topic: FLNRORD Research Program
Keywords: Forest, Investment, Account, (FIA), British, Columbia
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