Comparative Analysis of Long-term Series of Gross Primary Productivity in the Southwest Ka

Five remote sensing products (revised EC-LUE, GOSIF, GLASS, MOD17A2, and VPM) are compared for Gross Primary Productivity in karst regions of Southwest China. The dataset, 526.3 KB in size, was uploaded by Huanqiang Dong to figshare in May 2026. It uses the Triple Collocation method for relative uncertainty analysis of these long-term series.

Use Cases

• Compare the performance of different remote sensing GPP algorithms based on the five products mentioned.
• Analyze uncertainty in carbon flux estimates for karst regions based on the Triple Collocation method.
• Validate satellite-derived GPP products for specific biomes based on the focus on Southwest China's karst areas.
• Study long-term vegetation productivity trends in ecologically sensitive regions based on the time-series analysis.

Strengths

• Dataset is small (526.3 KB), facilitating quick download and initial exploration.
• Analysis is based on a comparison of five distinct remote sensing products, providing multiple data sources.
• Focuses on the ecologically distinct karst regions of Southwest China, a specific geographic area.
• Uses the Triple Collocation method for a structured uncertainty analysis.

Limitations

• The dataset's exact temporal coverage and spatial resolution are not specified in the provided metadata.
• Row count and column-level documentation are unknown, limiting pre-download assessment of structure.
• The description is brief; detailed methodology and validation data may require seeking external sources.

Provenance

Source

figshare, author Huanqiang Dong.

Collection Method

Remote sensing data products processed and compared using the Triple Collocation method.

Freshness

Last updated 2026-05-21 08:42:37.

Geography

Karst regions of Southwest China.