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  • Comprehensive Statewide Forest Inventory Analysis and Study (CSFIAS)

    Technical Report

    Prepared for:

    Florida Forest Service

    Update 2014 Prepared by:

    Andrew Brenner and Mark Yoders

    John Cothrun, F4 Tech

    and Brian Condon, BRM Inc.

  • Table of Contents

    1 EXECUTIVE SUMMARY .................................................................................................... 4 2 INTRODUCTION ................................................................................................................ 6 3 OVERVIEW OF PROJECT ................................................................................................ 7

    3.1 ORIGIN AND DESCRIPTION OF MAIN SOURCE DATASETS USED IN THIS PROJECT .............. 8 3.2 GEOSPATIAL DATASETS CONSTRUCTED FOR THIS PROJECT ........................................... 8

    4 STEPWISE DESCRIPTION OF METHODS USED FOR ALL DATA DEVELOPMENT AND DATA SOURCES .....................................................................................................................11

    4.1 FOREST COVER CLASSIFICATION SCHEME ....................................................................11 4.1.1 Classification Ruleset.............................................................................................11

    4.2 DATA SOURCES ..........................................................................................................12 4.2.1 Imagery Used ........................................................................................................12 4.2.2 Other Data Used ....................................................................................................14

    4.3 STATEWIDE FORESTLAND COVER DATA LAYER .............................................................16 4.3.1 Image Preprocessing .............................................................................................16 4.3.2 Crosswalk ..............................................................................................................16 4.3.3 Creation of Maximal Potential Forestland Mask .....................................................18 4.3.4 Creation of Forest-Land Cover Masks ...................................................................18 4.3.5 Final Forestland Cover Map Assembly ..................................................................20 4.3.6 2013 Update ..........................................................................................................21

    4.4 STATEWIDE TIMBER STAND AGE CLASSES DATA LAYER ................................................21 4.4.1 Change Detection 2011-2013 ................................................................................21 4.4.2 Change Detection 1996-2011 ................................................................................22 4.4.3 Change Detection 1972-1996 ................................................................................23

    4.5 STATEWIDE ORIGIN OF THE FORESTS DATA LAYER .......................................................24 4.5.1 Creation of 2011 Plantation Mask ..........................................................................24 4.5.2 2013 Plantation Mask ............................................................................................25

    4.6 STATEWIDE TIMBER PRODUCT CLASSES DATA LAYER ...................................................25 4.7 ACCURACY ASSESSMENT OF LAND COVER, STAND AGE, AND STAND ORIGIN DATASETS FOR 2011 MAP .......................................................................................................................25

    4.7.1 Methodology ..........................................................................................................25 4.8 STATEWIDE OWNERSHIP OF FORESTLAND DATA LAYER .................................................25

    4.8.1 Data Source and Development ..............................................................................25 4.8.2 Accuracy Assessment............................................................................................27

    4.9 STATEWIDE PRIMARY WOOD-USING PLANTS DATA LAYER .............................................29 4.9.1 Documenting Wood Using Plants in Florida ...........................................................29 4.9.2 Estimating Timber Removal, Sustainability, and Availability ...................................29

    4.10 TIMBER RESOURCES DISTRIBUTION IN GREEN TONS .....................................................35 4.10.1 Calculation of Standing Timber Biomass ........................................................35 4.10.2 Equations, Processes and Programs used for Stratified Inventory .................37 4.10.3 Stratified Inventory Process ...........................................................................37

    5 IMPROVEMENTS MADE IN 2014 STUDY........................................................................40 5.1 LAND COVER, AGE AND ORIGIN LAYERS .......................................................................40 5.2 MILL LOCATION AND REMOVALS LAYERS ......................................................................40 5.3 STANDING TIMBER, GROWTH, SUSTAINABILITY AND AVAILABILITY LAYERS ......................41

    2 Florida Forest Service

  • 6 APPENDIX A: CROSSWALKS .........................................................................................42 7 APPENDIX B: STRATA TABLES .....................................................................................49

    3 Florida Forest Service

  • 1 Executive Summary

    The Comprehensive Statewide Forest Inventory Analysis and Study (CSFIAS), authorized by the 2012 House Bill HB7117, provides comprehensive statewide assessment of timber biomass resources on forestlands for the State of Florida by using a stratified inventory approach. This approach provides an overall estimate of timber volume, net growth, timber removal levels, and their spatial distribution across the state. In addition, the project identifies and leverages forest ownership to improve timber estimates by considering areas that are non- harvestable forestlands because of legal or policy reasons. Ownership influence on timber harvest is one example where the 2014 analyses were modified. Other areas of the analysis were modified based on stakeholder input. The following report details the original analysis and its modification for the 2014 update.

    The methods used for the project are presented in this Technical Report and the results from the study are located in the Executive Report and Map Book. This report details the approach which used 2013 Landsat OLI TIRS and legacy Landsat TM imagery (30 m spatial resolution) in combination with the Florida land cover dataset created in 2013 for the original project to update the forestland cover, age, and origin data layers. The primary plot information used for the assessment was from the United States Forest Service’s (USFS) Forest Inventory and Analysis (FIA) program. The 2011 forestland cover layer was predominantly created by combining three existing statewide data layers – (1) the Florida Land Use and Cover Classification System (FLUCCS), (2) the National Oceanic and Atmospheric Administration (NOAA) Coastal Services Center’s Coastal Change Analysis Program (CCAP), and (3) the Florida Forest Service’s (FFS) Florida Risk Assessment Canopy Inventory Project (FRACIP) and updating it to 2013 conditions and the classification system required by the project. Other datasets, such as soil type and habitat land cover, were also used to support the analyses and updates for 2011. To build the 2013 stand age dataset, the team performed change detection and change vector analyses using Landsat TM and Multispectral Scanner (MSS) imagery and existing CCAP datasets to create a time series of forestland cover change. By identifying changes in forest stands, such as clear-cutting or natural disturbances, it was possible to estimate an approximate date of origin, and therefore age, for current stands. This was updated in 2014 by assessing the change of land cover using Landsat imagery and by increasing the age of 2011 stands by two years. Areas of cleared forestland which were not converted to urban or agricultural uses were considered to still be forestland. The 2011 and updates to the 2013 stand origin data layer was created using FLUCCS, state lands data obtained from FFS, volunteered private information, and photo interpretation to identify areas planted with trees versus areas with naturally regenerating vegetation. Forestland ownership datasets for the entire state were also developed and categorized by federal, state, local government, and private ownerships with sub-categories. These datasets were derived from 2012 and 2013 Florida Department of Revenue (DOR) parcel data overlain on the 2013 forestland cover dataset. A single layer that combined forestland cover (B), age (A) and origin (P) data layers, singularly the BAP layer, was created and used for the stratification of FIA plots. The FIA plots were grouped together based on their BAP labels that were derived from plot data and were

    4 Florida Forest Service

  • averaged into 0 – 20 years, 20 – 40 years and > 40 years age classes. Strata tables for each BAP class were calculated. These strata tables were then linked to the BAP map using an alphanumeric join. These data were then used to estimate standing timber for three timber product classes: sub-merchantable, pulpwood and sawtimber. Note: In 2013 the analysis grouped cypress with pine; however the 2014 update grouped cypress with hardwo

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