In order to assess the advantages of combining optical and SAR data, and the importance of each band, the approach was tested separately on three data combinations (S1, S2 and S1+S2) and feature importance was computed to evaluate the contribution of each input layer. The multi-class F-...
(105,000 ha) were classified using Breiman’s random forest classifier, labeled with help of forest enterprise data. In nine test cases, variations of Sentinel-1 and Sentinel-2 imagery were passed to the classifier to evaluate their respective contributions. By solely using a high number of ...
This is achieved in MPS by computing the conditional probability of joint combinations of attribute values (known as data events) occurring based on patterns contained in the selected TI, such as higher-order (beyond bivariate) statistical dependencies. The conditional cumulative distribution function (...
By using band combinations, we can extract specific information from an image. For example, there areband combinationsthat highlight geologic, agricultural, or vegetation features in an image. If you want to see Sentinel band combinations for yourself, you can check out theSentinel Playground. It ...
Optical VIs are defined as combinations of values measured at different spectral bands, being NDVI (Normalised Difference VI) the most widely used (Bannari et al., 1995, Haboudane et al., 2004). Equivalently, there exists a set of vegetation indices defined on the basis of radar data, ...
CD-FCNN: U-Net with two different SEN2 band combinations:23RGBI (B2, B3, B4, and B8) and RGBISWIR (B2, B3, B4, B8, B11, and B12) trained on the Landsat Biome-8 dataset (transfer learning52,53from Landsat 8 to Sentinel-2). ...
Each image is separated by its respective spectral band. See our table above for the spectral bands of Sentinel 2. Remember that Sentinel 2B is identical to Sentinel 2A. If you want to combine the red, green, and blue channels as composite bands (such as Google Earth imagery) – read our...
Identification of pegmatites zones in Muiane and Naipa (Mozambique) from Sentinel-2 images, using band combinations, band ratios, PCA and supervised classi... Various indices are used for assessing vegetation and soil properties in satellite remote sensing applications. Some indices, such as NDVI ...
Finally, to test which S2 acquisition had the highest impact on the predictions, we then tested all possible acquisition combinations. 3.1. Land cover classification (Step 1) Based on the ultra-high resolution UAV orthoimages, reference data for the land cover classification were derived (UAV-...
Visualize imagery using different band combinations, indexes, or other raster function templates Filter imagery (by date, cloud cover, etc.) Compare images from different dates using a swipe tool Generate masks based on a variety of indexes ...