Home ›
Entities
› academia
› Convolutional neural networks for water segmentation using sentinel-2 red, green, blue (RGB) composites and derived spectral indices
Convolutional neural networks for water segmentation using sentinel-2 red, green, blue (RGB) composites and derived spectral indices
Research article (International Journal of Remote Sensing, 2021) · cited 43× · AI/ML
Convolutional neural networks for water segmentation using sentinel-2 red, green, blue (RGB) composites and derived spectral indices
Summary
Convolutional neural networks for water segmentation using sentinel-2 red, green, blue (RGB) composites and derived spectral indices is a scholarly article[1].
Key Facts
Convolutional neural networks for water segmentation using sentinel-2 red, green, blue (RGB) composites and derived spectral indices's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Convolutional neural networks for water segmentation using sentinel-2 red, green, blue (RGB) composites and derived spectral indices. Retrieved May 24, 2026, from https://4ort.xyz/entity/convolutional-neural-networks-for-water-segmentation-using-sentinel-2-red-green-blue-rgb-composites-and-derived-spectral
MLA“Convolutional neural networks for water segmentation using sentinel-2 red, green, blue (RGB) composites and derived spectral indices.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/convolutional-neural-networks-for-water-segmentation-using-sentinel-2-red-green-blue-rgb-composites-and-derived-spectral.
BibTeX@misc{4ortxyz_convolutional-neural-networks-for-water-segmentation-using-sentinel-2-red-green-blue-rgb-composites-and-derived-spectral_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Convolutional neural networks for water segmentation using sentinel-2 red, green, blue (RGB) composites and derived spectral indices}}, year = {2026}, url = {https://4ort.xyz/entity/convolutional-neural-networks-for-water-segmentation-using-sentinel-2-red-green-blue-rgb-composites-and-derived-spectral}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Convolutional neural networks for water segmentation using sentinel-2 red, green, blue (RGB) composites and derived spectral indices — https://4ort.xyz/entity/convolutional-neural-networks-for-water-segmentation-using-sentinel-2-red-green-blue-rgb-composites-and-derived-spectral (retrieved 2026-05-24)
