Gaofen-1 WFV: Cloud-Free Near-Infrared Surface Reflectance over Huailai, China in 2020

25 cloud-free satellite images from the Chinese Gaofen-1 WFV sensor provide high-resolution (16 m) near-infrared surface reflectance over the Huailai remote sensing test site throughout 2020. The data has been processed into Analysis Ready Data (ARD), including geometric alignment, radiometric recalibration, and atmospheric correction. This dataset was generated by researchers from the Chinese Academy of Sciences to study spatial heterogeneity and ground validation uncertainty.

Use Cases

• Validate satellite-derived surface reflectance products based on high-resolution ground reference data.
• Study the influence of spatial heterogeneity on ground validation uncertainty for different sampling strategies.
• Generate biophysical essential climate variables (ECVs) for land cover mapping applications.
• Develop or test atmospheric correction and geometric normalization algorithms for satellite imagery.

Strengths

• Contains 25 cloud-free images, with at least one image available for each month of 2020.
• Data is processed to Analysis Ready Data (ARD) standard, including geometric alignment, radiometric recalibration, and atmospheric correction.
• Provides high-resolution (16 m) near-infrared surface reflectance data.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and file size are unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Chinese Gaofen-1 WFV satellite Band4 data, processed by researchers (Jianguang Wen) affiliated with the Chinese Academy of Sciences.

Collection Method

Cloud-free images were extracted and processed through geometric and radiometric normalization, cross-calibrated with Landsat TM/OLI data, and layer-stacked into one file.

Time Range

Year 2020

Geography

Huailai remote sensing test site, China