This paper explores direct classification using selected bands. Recently launched Sentinel-2A is adopted as a case study. Three methods are compared.
Abstract— Various indices are used for assessing vegetation and soil properties in satellite remote sensing applications.
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It is shown that a better classification performance can be achieved by directly using the three selected bands compared with the one using indices,�...
Jul 2, 2017 � It is shown that a better classification performance can be achieved by directly using the three selected bands compared with the one using�...
Nov 1, 2018 � Band Selection in Sentinel-2 Satellite for Agriculture Applications ... SWIR band are selected as Band 8a and Band 11 respectively in Sentinel-2A.
Oct 23, 2017 � Various indices are used for assessing vegetation and soil properties in satellite remote sensing applications. Some indices, such as NDVI�...
Sentinel 2 has a total of 13 bands. Each band is 10, 20 or 60 meters in pixel size. This includes red, green, blue, near infrared and short infrared bands.
Missing: selection | Show results with:selection
Sentinel-2 has four 10 m bands (red, green, blue, and near-infrared (NIR)) and is a potential data resource for crop type mapping for the areas with small field�...
Sep 27, 2018 � Various indices are used for assessing vegetation and soil properties in satellite remote sensing applications.
Aug 11, 2023 � Overall, the 12-band models give more consistent results, but the differences, on many occasions, are marginal: the F-score is only 1% better�...