PROOF OF CONCEPT FOR AN APPROACH TO A FINER RESOLUTION INVENTORY
Chris J. Cieszewski[1],6, Kim  Iles2, Roger C. Lowe3, Michał Zasada4,5

 

 

 

 


Abstract: 

We present here a proof of concept for a statistical framework for a timely, accurate, and unbiased fiber supply assessment in Georgia.  The proposed approach is based on the use of various sources of data and on modeling techniques to calibrate satellite image-based statewide stand lists, which provide initial estimates for a common timeline state inventory.  The proposed system is based on the use of Georgia ground inventory data from the forest products industry, enhanced by various GIS and remote sensing data, and applied with the k-th nearest neighbor methods to time-series-stratified satellite imagery.  The initial estimates are subsequently scaled regionally to the FIA summary totals to eliminate any potential bias in the initial estimates.  The proposed system enhances the FIA inventory data in four major ways.  First, it removes the need for the specific FIA plot coordinates; although, if available, the coordinates would likely enhance the analysis.  Second, it provides a current common timeline of inventory estimates based on the Landsat TM imagery for the given year and season.   Third, it provides currently accurate high-resolution area estimates.  And forth, it makes use of various auxiliary data available from private and public sources in the state, and it can easily take advantage of any other additional data as they may became available.

 

Author Keywords:
forest inventory, unbiased estimates, k-th nearest neighbor, satellite imagery, remote sensing

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Addresses:
[1]Associate Professor, 3GIS Analyst, 4Postdoctoral Fellow, D.B. Warnell School of Forest Resources, University of Georgia, Athens GA 30602 USA, 2Consultant on Forest Inventory, Kim Iles and Associates Inc., 412 Valley Place, Nanaimo BC, V9R 6A6, Canada,  5Assistant Professor, Department of Dendrometry and Forest Productivity, Faculty of Forestry, Warsaw Agricultural University, Nowoursynowska 159, 02-787 Warsaw, Poland, 6Corresponding Author, Ph./FAX: (706) 542-8169/8356, Internet: www.growthandyield.com/chris

 

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[1]Associate Professor, 3GIS Analyst, 4Postdoctoral Fellow, D.B. Warnell School of Forest Resources, University of Georgia, Athens GA 30602 USA, 2Consultant on Forest Inventory, Kim Iles and Associates Inc., 412 Valley Place, Nanaimo BC, V9R 6A6, Canada,  5Assistant Professor, Department of Dendrometry and Forest Productivity, Faculty of Forestry, Warsaw Agricultural University, Nowoursynowska 159, 02-787 Warsaw, Poland, 6Corresponding Author, Ph./FAX: (706) 542-8169/8356, Internet: www.growthandyield.com/chris