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Recovering low quality MODIS-Terra data over highly turbid waters through noise reduction and regional vicarious calibration adjustment: A case study in Taihu Lake
Research article (Remote Sensing of Environment, 2017) · cited 33× · AI/ML
Recovering low quality MODIS-Terra data over highly turbid waters through noise reduction and regional vicarious calibration adjustment: A case study in Taihu Lake
Summary
Recovering low quality MODIS-Terra data over highly turbid waters through noise reduction and regional vicarious calibration adjustment: A case study in Taihu Lake is a scholarly article[1].
Key Facts
Recovering low quality MODIS-Terra data over highly turbid waters through noise reduction and regional vicarious calibration adjustment: A case study in Taihu Lake'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). Recovering low quality MODIS-Terra data over highly turbid waters through noise reduction and regional vicarious calibration adjustment: A case study in Taihu Lake. Retrieved May 24, 2026, from https://4ort.xyz/entity/recovering-low-quality-modis-terra-data-over-highly-turbid-waters-through-noise-reduction-and-regional-vicarious-calibra
MLA“Recovering low quality MODIS-Terra data over highly turbid waters through noise reduction and regional vicarious calibration adjustment: A case study in Taihu Lake.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/recovering-low-quality-modis-terra-data-over-highly-turbid-waters-through-noise-reduction-and-regional-vicarious-calibra.
BibTeX@misc{4ortxyz_recovering-low-quality-modis-terra-data-over-highly-turbid-waters-through-noise-reduction-and-regional-vicarious-calibra_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Recovering low quality MODIS-Terra data over highly turbid waters through noise reduction and regional vicarious calibration adjustment: A case study in Taihu Lake}}, year = {2026}, url = {https://4ort.xyz/entity/recovering-low-quality-modis-terra-data-over-highly-turbid-waters-through-noise-reduction-and-regional-vicarious-calibra}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Recovering low quality MODIS-Terra data over highly turbid waters through noise reduction and regional vicarious calibration adjustment: A case study in Taihu Lake — https://4ort.xyz/entity/recovering-low-quality-modis-terra-data-over-highly-turbid-waters-through-noise-reduction-and-regional-vicarious-calibra (retrieved 2026-05-24)
