The current experiments primarily rely on remote sensing

The gap

Evidence profile

Sourced from the future-work section and limitations section and stated research gap and abstract of the source papers, classified as general, drawn from work published between 2017 and 2026, spanning 6 journals. Those papers have been cited 24 times in total.

Supporting evidence — 6 representative gaps

• Integrating Water Indices and Cloud-Based Engine for Change Detection of Aquaculture Areas in Lampung, Indonesia (2026) · Geomatics and Environmental Engineering · doi

  Integrating multi-satellite images to reduce distortions caused by cloud cover. Applying the study's method to other regions with similar coastal dynamics and aquaculture practices. Developing more advanced water indices and thresholding methods for water-body extraction.

  generalfuture-work sectionevidence 5/5
  Keywords: integrating multi-satellite images reduce distortions caused cloud cover
• YOLO11s-EER: a lightweight small target detection algorithm for ship detection in remote sensing imagery (2026) · Multimedia Systems · doi

  The current experiments primarily rely on remote sensing images captured under relatively favorable lighting conditions. There remains a scarcity of data for extreme environments such as rain, fog, and nighttime in the real world.

  generallimitations sectionevidence 5/5
  Keywords: current experiments primarily rely remote sensing images captured
• 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
• Spatial and temporal monitoring of surface water area changes in Abhe Lake during 2017-2022 using satellite images and GIS (2026) · Al-Farooq Journal of Sciences · doi

  Accurately delineating the precise boundary between water and land remains challenging for small or narrow inland water bodies. The study only included images captured under clear atmospheric conditions or with less than 10% of cloud cover.

  generallimitations sectionevidence 5/5
  Keywords: accurately delineating precise boundary between water land remains
• Observation Bias Correction Reveals More Rapidly Draining Lakes on the Greenland Ice Sheet (2017) · Journal of Geophysical Research Earth Surface · cited 24× · doi

  Estimates of the number and spatial distribution of rapidly draining lakes vary widely, and no study has so far quantified the impact of observation bias due to cloud cover in satellite imagery on reported frequency of rapid lake drainage.

  generalabstractevidence 4/5
  Keywords: estimates number spatial distribution rapidly draining lakes vary widely quantified impact observation bias cloud cover
• Automation of Water Surface Area Calculation for Water Balance Purposes Using Satellite Images (2026) · Visnyk of Vinnytsia Politechnical Institute · doi

  Future research can focus on improving the accuracy of the method and applying it to different types of water bodies and environmental conditions. The authors suggest that further research is needed to develop methods that can mitigate the limitations of remote sensing data, such as the impact of cloud cover and image quality.

  generalfuture-work sectionevidence 4/5
  Keywords: future research focus improving accuracy method applying different

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