Home ›
Entities
› academia
› Methods to Remove the Border Noise From Sentinel-1 Synthetic Aperture Radar Data: Implications and Importance For Time-Series Analysis
Methods to Remove the Border Noise From Sentinel-1 Synthetic Aperture Radar Data: Implications and Importance For Time-Series Analysis
Research article (IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018) · cited 67× · AI/ML
Methods to Remove the Border Noise From Sentinel-1 Synthetic Aperture Radar Data: Implications and Importance For Time-Series Analysis
Summary
Methods to Remove the Border Noise From Sentinel-1 Synthetic Aperture Radar Data: Implications and Importance For Time-Series Analysis is a scholarly article[1].
Key Facts
Methods to Remove the Border Noise From Sentinel-1 Synthetic Aperture Radar Data: Implications and Importance For Time-Series Analysis'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). Methods to Remove the Border Noise From Sentinel-1 Synthetic Aperture Radar Data: Implications and Importance For Time-Series Analysis. Retrieved May 24, 2026, from https://4ort.xyz/entity/methods-to-remove-the-border-noise-from-sentinel-1-synthetic-aperture-radar-data-implications-and-importance-for-time-se
MLA“Methods to Remove the Border Noise From Sentinel-1 Synthetic Aperture Radar Data: Implications and Importance For Time-Series Analysis.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/methods-to-remove-the-border-noise-from-sentinel-1-synthetic-aperture-radar-data-implications-and-importance-for-time-se.
BibTeX@misc{4ortxyz_methods-to-remove-the-border-noise-from-sentinel-1-synthetic-aperture-radar-data-implications-and-importance-for-time-se_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Methods to Remove the Border Noise From Sentinel-1 Synthetic Aperture Radar Data: Implications and Importance For Time-Series Analysis}}, year = {2026}, url = {https://4ort.xyz/entity/methods-to-remove-the-border-noise-from-sentinel-1-synthetic-aperture-radar-data-implications-and-importance-for-time-se}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Methods to Remove the Border Noise From Sentinel-1 Synthetic Aperture Radar Data: Implications and Importance For Time-Series Analysis — https://4ort.xyz/entity/methods-to-remove-the-border-noise-from-sentinel-1-synthetic-aperture-radar-data-implications-and-importance-for-time-se (retrieved 2026-05-24)