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Research ArticleArticles

Improved Model Estimates of Tree Debris Following Ice Storms

Richard J. Hauer and Brandon B. Schulz
Arboriculture & Urban Forestry (AUF) March 2023, 49 (2) 55-63; DOI: https://doi.org/10.48044/jauf.2023.005
Richard J. Hauer
Richard J. Hauer (corresponding author), Professor of Urban and Community Forestry, University of Wisconsin–Stevens Point, College of Natural Resources, Stevens Point, WI, USA, Director of Urban Forestry, CN Utility Services, West Des Moines, IA, USA,
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  • For correspondence: [email protected]
Brandon B. Schulz
Brandon B. Schulz, Undergraduate Research Assistant, University of Wisconsin–Stevens Point, College of Natural Resources, Stevens Point, WI, USA
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  • Figure 1.
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    Figure 1.

    Comparison of 30-m resolution National Land Cover Database (NLCD, left image) and approximately 1-m National Agriculture Imagery Program (NAIP, right image) for Schmeeckle Reserve, Lake Joanis, Stevens Point, WI, USA.

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    Figure 2.

    Tree canopy cover (TCC) percentage using 2-m or better imagery (NAIP or NAPP) or 30-m imagery (NLCD) across the entire city (a); percentage TCC across the entire city or only within the rights-of-way (ROWs) using NAIP or NAPP imagery (b).

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    Figure 3.

    Box plot comparison of tree canopy cover (TCC) using 2-m or better imagery (NAIP or NAPP) or 30-m imagery (NLCD) across the entire community, or within the rights-of-way only (NAIP or NAPP). Box plot parts are: lower box 1st quartile; line median; X mean; upper box 3rd quartile. Line ends are minimum and maximum values; circles are outliers.

Tables

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    Table 1.

    Estimation of tree debris (yd3) collected from within public lands and rights-of-way by a community following an ice storm. Modified model based on Hauer et al. (2011). TCC (tree canopy cover); TCCCITY (canopy cover estimate across the entire city).

    VariableUnstandardized coefficientsStandard error of the meant-statisticP-value
    Constant−257,64372,644−3.55= 0.001
    Street distance (mi)638.431.920.03< 0.001
    Ice (in)59,30719,3103.07= 0.004
    TCCCITY (%)2,8841,6031.80= 0.081
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    Table 2.

    Comparison of 2 models to estimate tree debris (yd3) following an ice storm collected by a community using a canopy cover estimate across the entire city (TCCCITY). The NLCD (National Land Cover Database) model variable used 30-m imagery and the NAIP (National Agriculture Imagery Program) and NAPP (National Aerial Photography Program) model variables used approximately 2-m or better imagery. SEM (standard error of the mean); TCC (tree canopy cover).

    NLCD Model Adj R2 = 0.949NAIP/NAPP Model Adj R2 = 0.917
    VariableUnstandardized coefficients (SEM)P-valueUnstandardized coefficients (SEM)P-value
    Constant−129,677 (72,644)< 0.001−257,643 (72,644)= 0.001
    Street distance (mi)655.1 (31.9)< 0.001638.4 (31.9)< 0.001
    Ice (in)49,426 (19,310)= 0.00359,307 (19,310)= 0.004
    TCCCITY (%)Not Significant= 0.2072,884 (1,603)= 0.081
    • View popup
    Table S1.

    Imagery sources and quality used in this study to estimate tree canopy cover (TCC). NLCD (National Land Cover Database); NAIP (National Agriculture Imagery Program); NAPP (National Aerial Photography Program); ND (no data).

    CityStateIce storm yearImagery dateSpectral bandsaImage sourceApproximate resolution (m)NLCD TCC (%) entire communityNAIP/NAPP TCC (%) entire communityNAIP/NAPP TCC (%) street rights-of-way
    BallwinMO20072006Three-BandNAIP231.554.737.6
    BathME20082007Three-BandNAIP147.164.847.6
    BurlingtonNC20021995One-BandNAPP216.130.4ND
    BurlingtonNC20031995One-BandNAPP216.130.4ND
    DecaturIL20062005Three-BandNAIP211.740.439.0
    EllisvilleMO20062005Three-BandNAIP2ND53.040.4
    EuclidOH19961994One-BandNAIP3.59.028.1ND
    EvansvilleIN20092008Four-BandNAIP110.227.124.1
    ExeterMO20072005Three-BandNAIP23.327.727.0
    FayettevilleAR20092006Three-BandNAIP226.142.328.9
    ForsythIL20072005Three-BandNAIP26.229.019.9
    GladstoneMO20021997One-BandNAPP211.630.3ND
    GreenvilleSC20052005Three-BandNAIP140.250.748.3
    HarrisonAR20092006Three-BandNAIP213.137.231.8
    HendersonKY20092008Three-BandNAIP111.928.923.3
    Henderson-villeNC20102009Four-BandNAIP125.735.042.2
    HoldenMA20082006Three-BandNAIP2ND78.561.8
    JacksonMO20072007Three-BandNAIP114.731.923.2
    Jefferson CityMO20072005Three-BandNAIP226.344.431.0
    JonesboroAR20092006Three-BandNAIP224.931.624.4
    LeesburgVA20072006Three-BandNAIP211.331.030.3
    LeominsterMA20082006Three-BandNAIP250.864.652.2
    LincolnIL20062005One-BandNAIP24.035.639.2
    LitchfieldCT20011998One-BandNAPP3.951.2NDND
    MaryvilleMO20072005Three-BandNAIP24.221.023.6
    MayfieldKY20092008Three-BandNAIP19.830.826.4
    Mountain HomeAR20092006Three-BandNAIP219.742.027.6
    OwensboroKY20092008Three-BandNAIP17.021.019.7
    PaducahKY20092008Three-BandNAIP114.136.131.2
    RaleighNC20021999Three-BandNAPP0.532.853.439.4
    Richmond HeightsOH20062005Three-BandNAIP218.649.338.5
    SavannahMO20072006Three-BandNAIP25.127.829.9
    SidneyOH20052004Three-BandNAIP113.727.225.5
    SikestonMO20082007Three-BandNAIP14.315.625.5
    SikestonMO20092007Three-BandNAIP14.315.625.5
    SpringfieldMO20072005Three-BandNAIP211.739.936.3
    St. LouisMO20062005Three-BandNAIP27.916.031.5
    St. PetersMO20072005Three-BandNAIP210.026.924.5
    TulsaOK20072006Three-BandNAIP210.133.932.5
    WinchesterVA20072006Three-BandNAIP29.133.031.7
    • ↵aFour-Band (Natural Color/Color Infrared); Three-Band (Color); One-Band (Black and White)

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Arboriculture & Urban Forestry (AUF): 49 (2)
Arboriculture & Urban Forestry (AUF)
Vol. 49, Issue 2
March 2023
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Improved Model Estimates of Tree Debris Following Ice Storms
Richard J. Hauer, Brandon B. Schulz
Arboriculture & Urban Forestry (AUF) Mar 2023, 49 (2) 55-63; DOI: 10.48044/jauf.2023.005

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Improved Model Estimates of Tree Debris Following Ice Storms
Richard J. Hauer, Brandon B. Schulz
Arboriculture & Urban Forestry (AUF) Mar 2023, 49 (2) 55-63; DOI: 10.48044/jauf.2023.005
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