Home ›
Entities
› academia
› Enhancing Spatial Resolution of GNSS-R Soil Moisture Retrieval through XGBoost Algorithm-Based Downscaling Approach: A Case Study in the Southern United States
Enhancing Spatial Resolution of GNSS-R Soil Moisture Retrieval through XGBoost Algorithm-Based Downscaling Approach: A Case Study in the Southern United States
Research article (Remote Sensing, 2023) · cited 10× · AI/ML
Enhancing Spatial Resolution of GNSS-R Soil Moisture Retrieval through XGBoost Algorithm-Based Downscaling Approach: A Case Study in the Southern United States
Summary
Enhancing Spatial Resolution of GNSS-R Soil Moisture Retrieval through XGBoost Algorithm-Based Downscaling Approach: A Case Study in the Southern United States is a scholarly article[1].
Key Facts
Enhancing Spatial Resolution of GNSS-R Soil Moisture Retrieval through XGBoost Algorithm-Based Downscaling Approach: A Case Study in the Southern United States'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). Enhancing Spatial Resolution of GNSS-R Soil Moisture Retrieval through XGBoost Algorithm-Based Downscaling Approach: A Case Study in the Southern United States. Retrieved May 24, 2026, from https://4ort.xyz/entity/enhancing-spatial-resolution-of-gnss-r-soil-moisture-retrieval-through-xgboost-algorithm-based-downscaling-approach-a-ca
MLA“Enhancing Spatial Resolution of GNSS-R Soil Moisture Retrieval through XGBoost Algorithm-Based Downscaling Approach: A Case Study in the Southern United States.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/enhancing-spatial-resolution-of-gnss-r-soil-moisture-retrieval-through-xgboost-algorithm-based-downscaling-approach-a-ca.
BibTeX@misc{4ortxyz_enhancing-spatial-resolution-of-gnss-r-soil-moisture-retrieval-through-xgboost-algorithm-based-downscaling-approach-a-ca_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Enhancing Spatial Resolution of GNSS-R Soil Moisture Retrieval through XGBoost Algorithm-Based Downscaling Approach: A Case Study in the Southern United States}}, year = {2026}, url = {https://4ort.xyz/entity/enhancing-spatial-resolution-of-gnss-r-soil-moisture-retrieval-through-xgboost-algorithm-based-downscaling-approach-a-ca}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Enhancing Spatial Resolution of GNSS-R Soil Moisture Retrieval through XGBoost Algorithm-Based Downscaling Approach: A Case Study in the Southern United States — https://4ort.xyz/entity/enhancing-spatial-resolution-of-gnss-r-soil-moisture-retrieval-through-xgboost-algorithm-based-downscaling-approach-a-ca (retrieved 2026-05-24)
