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Harvesting the Landsat archive for land cover land use classification using deep neural networks: Comparison with traditional classifiers and multi-sensor benefits
Research article (ISPRS Journal of Photogrammetry and Remote Sensing, 2023) · cited 36× · AI/ML
Harvesting the Landsat archive for land cover land use classification using deep neural networks: Comparison with traditional classifiers and multi-sensor benefits
Summary
Harvesting the Landsat archive for land cover land use classification using deep neural networks: Comparison with traditional classifiers and multi-sensor benefits is a scholarly article[1].
Key Facts
Harvesting the Landsat archive for land cover land use classification using deep neural networks: Comparison with traditional classifiers and multi-sensor benefits's instance of is recorded as scholarly article[2].
References
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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). Harvesting the Landsat archive for land cover land use classification using deep neural networks: Comparison with traditional classifiers and multi-sensor benefits. Retrieved May 24, 2026, from https://4ort.xyz/entity/harvesting-the-landsat-archive-for-land-cover-land-use-classification-using-deep-neural-networks-comparison-with-traditi
MLA“Harvesting the Landsat archive for land cover land use classification using deep neural networks: Comparison with traditional classifiers and multi-sensor benefits.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/harvesting-the-landsat-archive-for-land-cover-land-use-classification-using-deep-neural-networks-comparison-with-traditi.
BibTeX@misc{4ortxyz_harvesting-the-landsat-archive-for-land-cover-land-use-classification-using-deep-neural-networks-comparison-with-traditi_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Harvesting the Landsat archive for land cover land use classification using deep neural networks: Comparison with traditional classifiers and multi-sensor benefits}}, year = {2026}, url = {https://4ort.xyz/entity/harvesting-the-landsat-archive-for-land-cover-land-use-classification-using-deep-neural-networks-comparison-with-traditi}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Harvesting the Landsat archive for land cover land use classification using deep neural networks: Comparison with traditional classifiers and multi-sensor benefits — https://4ort.xyz/entity/harvesting-the-landsat-archive-for-land-cover-land-use-classification-using-deep-neural-networks-comparison-with-traditi (retrieved 2026-05-24)
