Simple-Yet-Effective SRTM DEM Improvement Scheme for Dense Urban Cities Using ANN and Remote Sensing Data: Application to Flood Modeling

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Simple-Yet-Effective SRTM DEM Improvement Scheme for Dense Urban Cities Using ANN and Remote Sensing Data: Application to Flood Modeling

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Simple-Yet-Effective SRTM DEM Improvement Scheme for Dense Urban Cities Using ANN and Remote Sensing Data: Application to Flood Modeling is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Simple-Yet-Effective SRTM DEM Improvement Scheme for Dense Urban Cities Using ANN and Remote Sensing Data: Application to Flood Modeling. Retrieved May 24, 2026, from https://4ort.xyz/entity/simple-yet-effective-srtm-dem-improvement-scheme-for-dense-urban-cities-using-ann-and-remote-sensing-data-application-to
MLA “Simple-Yet-Effective SRTM DEM Improvement Scheme for Dense Urban Cities Using ANN and Remote Sensing Data: Application to Flood Modeling.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/simple-yet-effective-srtm-dem-improvement-scheme-for-dense-urban-cities-using-ann-and-remote-sensing-data-application-to.
BibTeX @misc{4ortxyz_simple-yet-effective-srtm-dem-improvement-scheme-for-dense-urban-cities-using-ann-and-remote-sensing-data-application-to_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Simple-Yet-Effective SRTM DEM Improvement Scheme for Dense Urban Cities Using ANN and Remote Sensing Data: Application to Flood Modeling}}, year = {2026}, url = {https://4ort.xyz/entity/simple-yet-effective-srtm-dem-improvement-scheme-for-dense-urban-cities-using-ann-and-remote-sensing-data-application-to}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Simple-Yet-Effective SRTM DEM Improvement Scheme for Dense Urban Cities Using ANN and Remote Sensing Data: Application to Flood Modeling — https://4ort.xyz/entity/simple-yet-effective-srtm-dem-improvement-scheme-for-dense-urban-cities-using-ann-and-remote-sensing-data-application-to (retrieved 2026-05-24)

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