Agricultural crop mapping using optical and SAR multi-temporal seasonal data: A case study in Lombardy region, Italy
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...Overall, these results are in line with several studies (Fontanelli et al., 2014; Kussul et al., 2015b) where the integration of optical and SAR data improved crop identification....
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Cites background from "Agricultural crop mapping using opt..."
...In particular, the De Grandi filter is relatively simple and has proved very effective in the context of several different applications (Ali et al. 2013; Fontanelli et al. 2014; Amitrano et al. 2014)....
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References
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"Agricultural crop mapping using opt..." refers methods in this paper
...The integration of both L8 OLI features (EVI, NDFI, RGRI) and CSK σ° provide some advantages in terms of more reliable crop maps especially at the thematic Level 2 and for the early temporal stage T1, marking an OA increment of 2.5% over the MLC classification’s accuracy....
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...Three different vegetation indices were extracted from each scene as features to be used for classification: i) Enhanced Vegetation Index (EVI) [6]; ii) Normalized Difference Flood Index (NDFI) [7] and iii) Red Green Ratio Index (RGRI) [8]....
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822 citations
"Agricultural crop mapping using opt..." refers methods in this paper
...The integration of both L8 OLI features (EVI, NDFI, RGRI) and CSK σ° provide some advantages in terms of more reliable crop maps especially at the thematic Level 2 and for the early temporal stage T1, marking an OA increment of 2.5% over the MLC classification’s accuracy....
[...]
...Three different vegetation indices were extracted from each scene as features to be used for classification: i) Enhanced Vegetation Index (EVI) [6]; ii) Normalized Difference Flood Index (NDFI) [7] and iii) Red Green Ratio Index (RGRI) [8]....
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474 citations
"Agricultural crop mapping using opt..." refers background in this paper
...soil roughness and moisture, plant water content and biomass for SAR and photosynthetically related vegetation features for the optical sensors [3], [4]....
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