Mobiusi/Land-Degradation-Monitoring-Dataset

Land Degradation Monitoring Dataset

The current agricultural field faces land degradation issues, affecting crop production and ecological balance. Existing monitoring methods largely rely on manual inspection, which is inefficient and prone to omissions, making real-time monitoring difficult. The Land Degradation Monitoring Dataset aims to provide a set of high-quality image data to help AI systems effectively monitor land quality and ecological degradation risks. This dataset includes soil images collected from different regions, recording varying degrees of land cracking conditions and supports object detection tasks. Data collection was performed using drones under different climate conditions, covering various terrains. Each image underwent multiple rounds of annotation and consistency checks to ensure high data quality and accuracy. The data storage format is JPG, organized by image ID for easy subsequent processing and analysis. The core advantage of this dataset is its high annotation accuracy, with annotation consistency above 95% and data integrity over 90%. Novel annotation methods and data augmentation techniques were used to improve the model's generalization ability, effectively enhancing monitoring accuracy, and are expected to increase the accuracy of land degradation detection by 20%. Simultaneously, the size and diversity of the dataset provide researchers with a rich set of training samples, promoting the development of related technologies.

Technical Specifications

Field	Type	Description
file_name	string	File name
quality	string	Resolution
crack_degree	string	The degree of land cracking in the image, such as slight, moderate, severe.
vegetation_coverage	float	The proportion of land vegetation coverage in the image.
soil_color	string	The color of the soil in the image, such as red, brown, grey, etc.
land_use_type	string	The type of land use depicted in the image, such as agricultural, barren land, etc.

Compliance Statement

Authorization Type	CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)
Commercial Use	Requires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and Anonymization	No PII, no real company names, simulated scenarios follow industry standards
Compliance System	Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Source & Contact

If you need more dataset details, please visit Mobiusi. or contact us via contact@mobiusi.com