Home ›
Entities
› academia
› Terrestrial water storage anomaly estimating using machine learning techniques and satellite‐based data (a case study of Lake Urmia Basin)
Terrestrial water storage anomaly estimating using machine learning techniques and satellite‐based data (a case study of Lake Urmia Basin)
Research article (Irrigation and Drainage, 2023) · cited 14× · AI/ML
Terrestrial water storage anomaly estimating using machine learning techniques and satellite‐based data (a case study of Lake Urmia Basin)
Summary
Terrestrial water storage anomaly estimating using machine learning techniques and satellite‐based data (a case study of Lake Urmia Basin) is a scholarly article[1].
Key Facts
Terrestrial water storage anomaly estimating using machine learning techniques and satellite‐based data (a case study of Lake Urmia Basin)'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). Terrestrial water storage anomaly estimating using machine learning techniques and satellite‐based data (a case study of Lake Urmia Basin). Retrieved May 24, 2026, from https://4ort.xyz/entity/terrestrial-water-storage-anomaly-estimating-using-machine-learning-techniques-and-satellitebased-data-a-case-study-of-l
MLA“Terrestrial water storage anomaly estimating using machine learning techniques and satellite‐based data (a case study of Lake Urmia Basin).” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/terrestrial-water-storage-anomaly-estimating-using-machine-learning-techniques-and-satellitebased-data-a-case-study-of-l.
BibTeX@misc{4ortxyz_terrestrial-water-storage-anomaly-estimating-using-machine-learning-techniques-and-satellitebased-data-a-case-study-of-l_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Terrestrial water storage anomaly estimating using machine learning techniques and satellite‐based data (a case study of Lake Urmia Basin)}}, year = {2026}, url = {https://4ort.xyz/entity/terrestrial-water-storage-anomaly-estimating-using-machine-learning-techniques-and-satellitebased-data-a-case-study-of-l}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Terrestrial water storage anomaly estimating using machine learning techniques and satellite‐based data (a case study of Lake Urmia Basin) — https://4ort.xyz/entity/terrestrial-water-storage-anomaly-estimating-using-machine-learning-techniques-and-satellitebased-data-a-case-study-of-l (retrieved 2026-05-24)