Challenges and Limitations of Automated Erosion Detection and Estimation in Gully Erosion

Abstract Submission: Gully erosion is a major contributor to global land degradation. Understanding its mechanisms and drivers is vital for effective watershed management. This paper introduces an advanced methodology for identifying and measuring areas prone to gully erosion using modern geospatial technologies.

For the assessment of gully erosion, our research employs the differencing of Digital Elevation Models (DEMs) from different time periods to effectively identify regions impacted by gully erosion. Validation of these areas is conducted by overlaying them on Google Earth for visual verification. By measuring elevation changes over time, we can determine and quantify the magnitude of gully erosion.

A major challenge is the availability of high-resolution, accurate data. Our geospatial analyses depend on precise DEMs, aerial images, and satellite data to measure erosion effectively. Additionally, while geospatial techniques can identify areas affected by gully erosion, field validation remains difficult. Confirming data through on-site inspections is labor-intensive and time-consuming, which can delay the implementation of mitigation strategies.

Our approach leverages advanced geospatial techniques to detect and measure gully erosion, improving watershed management. Challenges like data quality, complex factors, and field validation need to be addressed to enhance accuracy. Overcoming these issues is key to developing reliable solutions for land degradation and sustainable conservation.

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