[Review of estimation on oceanic primary productivity by using remote sensing methods.]

Area of Science:

• Oceanography
• Remote Sensing
• Marine Ecology

Background:

• Accurate oceanic primary productivity estimation is vital for fisheries management, marine ecology, and global change studies.
• Traditional methods rely on in situ data, limiting large-scale, real-time assessment.
• Satellite remote sensing offers dynamic, large-scale ocean surface parameter monitoring.

Purpose of the Study:

• To analyze and evaluate the current status of global oceanic primary productivity estimation using satellite remote sensing.
• To present the flexibility and complexity of various satellite-based estimation models.
• To identify future research directions for enhancing oceanic primary productivity estimation.

Main Methods:

• Review of satellite remote sensing techniques for oceanic primary productivity.
• Analysis of chlorophyll-based, carbon-based, and phytoplankton absorption-based models.
• Evaluation of current global estimation research status.

Main Results:

• Satellite remote sensing is an increasingly important tool for large-scale oceanic primary productivity estimation.
• Developed models include chlorophyll-based, carbon-based, and phytoplankton absorption-based approaches.
• Identified limitations in current estimation methods and technologies.

Conclusions:

• Further research is needed in segmented global estimation, phytoplankton absorption, remote sensing technology, and in situ measurements.
• Improving satellite-based oceanic primary productivity estimation requires advancements across multiple scientific and technological domains.
• Enhanced accuracy in oceanic primary productivity estimation supports better marine resource management and climate change understanding.