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fusion is shown in Figure 2. resolution (Sentinel-2). An illustration of the steps followed to ensure feature level data

Figure 2 fusion is shown in Figure 2. resolution (Sentinel-2). An illustration of the steps followed to ensure feature level data

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$2352-9385(17)30240-9 https://doi.org/10.1016/j.rsase.2018.04.007 RSASE135
$2352-9385(17)30240-9 https://doi.org/10.1016/j.rsase.2018.04.007 RSASE135
\merican Bramble (Rubus cuneifolius) has been identified as a major threat to native flo and fauna. A sprawling shrub species belonging to the Rosaceae family, Bramble is knov o thrive in a diverse range of habitats (Bromilow, 2010). Originally from North America, it yelieved to be one of the most harmful invasive alien plants in South Africa, particular vithin the KwaZulu-Natal (KZN) province, where the cool and moist climatic conditior avour its proliferation (Erasmus, 1984). Bramble’s thorny stems and growth in bush clam ure directly responsible for adverse effects on biodiversity. Henderson et al (2001) identifie eduction in a landscape’s carrying capacity, alterations in nutrient cycling, increased sx srosion, changes in fire regimes and behaviour and the disruption of hydrological process < some of the specie’s adverse effects. Hence, Bramble’s effective management | sradication is of paramount importance to landscape productivity and sustainability.
\merican Bramble (Rubus cuneifolius) has been identified as a major threat to native flo and fauna. A sprawling shrub species belonging to the Rosaceae family, Bramble is knov o thrive in a diverse range of habitats (Bromilow, 2010). Originally from North America, it yelieved to be one of the most harmful invasive alien plants in South Africa, particular vithin the KwaZulu-Natal (KZN) province, where the cool and moist climatic conditior avour its proliferation (Erasmus, 1984). Bramble’s thorny stems and growth in bush clam ure directly responsible for adverse effects on biodiversity. Henderson et al (2001) identifie eduction in a landscape’s carrying capacity, alterations in nutrient cycling, increased sx srosion, changes in fire regimes and behaviour and the disruption of hydrological process < some of the specie’s adverse effects. Hence, Bramble’s effective management | sradication is of paramount importance to landscape productivity and sustainability.
*Image acquisition dates based on southern hemisphere seasonal variability. Table 1: Image acquisition dates for individual optical and SAR imagery
*Image acquisition dates based on southern hemisphere seasonal variability. Table 1: Image acquisition dates for individual optical and SAR imagery
Spring L8 results showed a decrease in overall accuracies for both VH and VV fused images (Figure 6a and b), both producing overall accuracies of 64% (Table 5a and b). A decrease in Bramble user’s accuracy (32%) and an increase in Bramble producer’s accuracy (71%) was realised for L8 VH and L8 VV fused imagery as compared to summer L8 fused results (Table 5a and b). S2 overall accuracies for VH and VV fused images improved when compared to L8 (Figure 6c and qd), with overall accuracies ranging from 67% (VH) to 72% (VV) (Table 5c and d). Bramble user’s accuracy increased for VH and VV S2 fused images, while Bramble producer’s accuracy decreased with the fusion of VH and VV SAR data and Sentinel-2 (Table 5c and d).
Spring L8 results showed a decrease in overall accuracies for both VH and VV fused images (Figure 6a and b), both producing overall accuracies of 64% (Table 5a and b). A decrease in Bramble user’s accuracy (32%) and an increase in Bramble producer’s accuracy (71%) was realised for L8 VH and L8 VV fused imagery as compared to summer L8 fused results (Table 5a and b). S2 overall accuracies for VH and VV fused images improved when compared to L8 (Figure 6c and qd), with overall accuracies ranging from 67% (VH) to 72% (VV) (Table 5c and d). Bramble user’s accuracy increased for VH and VV S2 fused images, while Bramble producer’s accuracy decreased with the fusion of VH and VV SAR data and Sentinel-2 (Table 5c and d).
Producers accuracy; OA= Overall accuracy and UA = Users accuracy.
Producers accuracy; OA= Overall accuracy and UA = Users accuracy.
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Computer ScienceRemote SensingSynthetic Aperture Radar
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