Longstanding issues in land remote sensing, such as cloud

The gap

Evidence profile

Sourced from the abstract and stated research gap and stated challenges of the source papers, classified as general, drawn from work published between 2024 and 2026, spanning 2 journals. Those papers have been cited 80 times in total.

Supporting evidence — 4 representative gaps

• The Application of Remote Sensing Technology in Inland Water Quality Monitoring and Water Environment Science: Recent Progress and Perspectives (2025) · Remote Sensing · cited 67× · doi

  Finally, we propose that atmospheric correction algorithm improvement, multi-source data fusion, and high-precision large-scale inversion algorithms should be further developed to reduce the current dependence on empirical observation algorithms in remote sensing and overcome the limitations imposed by temporal and spatial scales and that more inversion models for non-optically active parameters should be explored to realize accurate remote sensing monitoring of these components in the future.

  generalabstract
  Keywords: inversion algorithms remote sensing finally propose atmospheric correction algorithm improvement multi source fusion high precision
• Monitoring of Low Chl-a Concentration in Hulun Lake Based on Fusion of Remote Sensing Satellite and Ground Observation Data (2024) · Remote Sensing · cited 13× · doi

  The machine learning-based remote sensing inversion method has been shown to be effective in capturing the intricate relationship between independent and dependent variables; however, it lacks a priori knowledge and is limited by the quality of remote sensing data sources.

  generalabstract
  Keywords: remote sensing machine learning based inversion effective capturing intricate relationship independent dependent variables lacks priori
• Revisiting Land Remote Sensing Issues: Lessons Learned 30 years ago (2026) · Recent Advances in Remote Sensing · doi

  Longstanding issues in land remote sensing, such as cloud contamination and atmospheric effects, remain despite improvements in methodologies and data resolution. The need for careful intercalibration among sensors when using multiple land-imaging sources.

  generalstated research gapevidence 5/5
  Keywords: longstanding issues land remote sensing cloud contamination atmospheric
• Spatiotemporal Assessment of Tropospheric Nitrogen Dioxide Changes During COVID-19 Lockdowns Using Cloud-Based Remote Sensing: Evidence from Central America (2026) · Remote Sensing · doi

  The study faces challenges in considering meteorological influences in regional atmospheric assessments. It must account for the nonlinear relationship between emissions and atmospheric chemistry. The research also needs to address the limitations of satellite-based remote sensing in monitoring air quality, particularly in data-scarce tropical regions.

  generalstated challengesevidence 5/5
  Keywords: study faces challenges considering meteorological influences regional atmospheric

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