The limitation of satellite remote sensing in capturing small-scale variations in soil moisture content
Research gap analysis derived from 3 agriculture papers in our local library.
The gap
The limitation of satellite remote sensing in capturing small-scale variations in soil moisture content. The need for a more accurate and reliable method for estimating soil moisture content. The potential of UAV-based hyperspectral data to overcome the limitations of satellite remote sensing.
Evidence profile
Sourced from the stated research gap of the source papers, classified as general, drawn from work published between 2025 and 2026, spanning 3 journals. Those papers have been cited 21 times in total.
Research trend
Established — well-defined area with open sub-problems.
Supporting evidence — 3 representative gaps
- Comparing UAV-Based Hyperspectral and Satellite-Based Multispectral Data for Soil Moisture Estimation Using Machine Learning (2025) · Water · cited 13× · doi
The limitation of satellite remote sensing in capturing small-scale variations in soil moisture content. The need for a more accurate and reliable method for estimating soil moisture content. The potential of UAV-based hyperspectral data to overcome the limitations of satellite remote sensing.
generalstated research gapKeywords: limitation satellite remote sensing capturing small-scale variations soil - Retrieval of Soil Moisture in the Yutian Oasis, Northwest China by 3D Feature Space Based on Optical and Radar Remote Sensing Data (2025) · Land · cited 8× · doi
The limitation of optical-based models to atmospheric interference, such as cloud cover and variations in solar illumination. The limited sensitivity of optical-based models to surface moisture beneath vegetation cover due to spectral saturation. The lack of research on integrating radar data for soil moisture retrieval using 3D feature spaces, particularly in arid areas.
generalstated research gapKeywords: limitation optical-based models atmospheric interference cloud cover variations - Drought-induced soil moisture declines in Andean catchments inferred from satellite-derived ground displacement (2026) · Scientific Reports · doi
Conventional remote-sensing and global soil moisture products operate at coarse spatial resolutions and are often constrained by cloud cover. The limitation of these conventional approaches is particularly important in Andean headwater catchments, where landscape features vary substantially at fine spatial scales. Persistent cloud cover is associated with the ITCZ and Amazonian air masses, making it challenging to monitor soil moisture using traditional methods.
generalstated research gapevidence 5/5Keywords: conventional remote-sensing global soil moisture products operate coarse
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