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<p>Accuracy assessment of Landsat 8 2022 Classification.</p>

NIAID Data Ecosystem2026-05-10 收录

遥感数据精度评估

数据链接：

https://figshare.com/articles/dataset/_p_Accuracy_assessment_of_Landsat_8_2022_Classification_p_/31590519 数据链接链接失效反馈

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资源简介：

Accuracy assessment of Landsat 8 2022 Classification.

2022年陆地卫星8号（Landsat 8）分类精度评估

应用场景：

创建时间：

2026-03-09

遥感数据精度评估

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Accuracy measures for different post-filtering scenarios.

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Gulf of Maine - Control Points Used to Validate the Accuracies of the Interpolated Water Density Rasters

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This feature dataset contains the control points used to validate the accuracies of the interpolated water density rasters for the Gulf of Maine. These control points were selected randomly from the

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Validation of ESA CCI RZSM 3 (40-100cm) v09.2 vs ISMN 20250617 global

卫星土壤水分验证

遥感数据精度评估

QA4SM validation: ESA CCI RZSM 3 (40-100cm) v09.2 vs ISMN 20250617 global. URL: https://qa4sm.eu/ui/validation-result/c393cf5d-e327-474d-90bc-190dc57a732b. Produced on QA4SM (https://qa4sm.eu)

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Hawaii Accuracy Assessment Point Data for Benthic Habitats of the Main Hawaiian Islands Prepared by Visual Interpretation from Remote Sensing Imagery Collected by NOAA Year 2000

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遥感数据精度评估

This project is a cooperative effort among the National Ocean Service, National Centers for Coastal Ocean Science, Center for Coastal Monitoring and Assessment; the...

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<p>Accuracy assessment of Landsat 8 2022 Classification.</p>

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