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Evaluating the sensitivity of clay content prediction to atmospheric effects and degradation of image spatial resolution using Hyperspectral VNIR/SWIR imagery
Research article (Remote Sensing of Environment, 2015) · cited 67× · AI/ML
Evaluating the sensitivity of clay content prediction to atmospheric effects and degradation of image spatial resolution using Hyperspectral VNIR/SWIR imagery
Summary
Evaluating the sensitivity of clay content prediction to atmospheric effects and degradation of image spatial resolution using Hyperspectral VNIR/SWIR imagery is a scholarly article[1].
Key Facts
Evaluating the sensitivity of clay content prediction to atmospheric effects and degradation of image spatial resolution using Hyperspectral VNIR/SWIR imagery's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Evaluating the sensitivity of clay content prediction to atmospheric effects and degradation of image spatial resolution using Hyperspectral VNIR/SWIR imagery. Retrieved May 24, 2026, from https://4ort.xyz/entity/evaluating-the-sensitivity-of-clay-content-prediction-to-atmospheric-effects-and-degradation-of-image-spatial-resolution
MLA“Evaluating the sensitivity of clay content prediction to atmospheric effects and degradation of image spatial resolution using Hyperspectral VNIR/SWIR imagery.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/evaluating-the-sensitivity-of-clay-content-prediction-to-atmospheric-effects-and-degradation-of-image-spatial-resolution.
BibTeX@misc{4ortxyz_evaluating-the-sensitivity-of-clay-content-prediction-to-atmospheric-effects-and-degradation-of-image-spatial-resolution_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Evaluating the sensitivity of clay content prediction to atmospheric effects and degradation of image spatial resolution using Hyperspectral VNIR/SWIR imagery}}, year = {2026}, url = {https://4ort.xyz/entity/evaluating-the-sensitivity-of-clay-content-prediction-to-atmospheric-effects-and-degradation-of-image-spatial-resolution}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Evaluating the sensitivity of clay content prediction to atmospheric effects and degradation of image spatial resolution using Hyperspectral VNIR/SWIR imagery — https://4ort.xyz/entity/evaluating-the-sensitivity-of-clay-content-prediction-to-atmospheric-effects-and-degradation-of-image-spatial-resolution (retrieved 2026-05-24)
