Characterization of Forested Landscapes from Remotely Sensed Data Using Fractals and Spatial Autocorrelation

<table>Moran’s <svg height="11.175" id="M57" style="vertical-align:-0.0pt" version="1.1" viewbox="0 0 7.5500002 11.175" width="7.5500002" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
<g transform="matrix(.017,0,0,-.017,.062,11.113)"><path d="M414 650l-6 -28q-63 -4 -78.5 -17.5t-27.5 -71.5l-77 -416q-11 -58 0.5 -71.5t77.5 -17.5l-5 -28h-275l8 28q63 4 79.5 18.5t27.5 70.5l80 416q11 57 -2 71t-81 18l6 28h273z" id="x1D43C"></path></g>
</svg> versus poletimber (bounds excluded).</table>

Advances in Civil Engineering

fig17

Figure 17

Figure 17: Characterization of Forested Landscapes from Remotely Sensed Data Using Fractals and Spatial Autocorrelation 