Mobiusi/Farmland-Surface-Change-Detection-Dataset

Farmland Surface Change Detection Dataset

The current agricultural sector faces environmental issues such as climate change and drought, which have severely impacted crop growth and yields. Existing monitoring methods often rely on manual inspections, which are inefficient and difficult to cover large areas. To improve monitoring accuracy and timeliness, this dataset aims to provide diverse farmland surface imagery data, allowing AI technologies to better identify and analyze surface environmental changes. The dataset includes images from different seasons and drought levels, providing decision support for agricultural managers. Data collection is conducted using high-resolution cameras in various fields and climate conditions to ensure diversity coverage. For quality control, the data undergoes multiple rounds of annotation and expert review to ensure consistency and accuracy. The data is stored in JPG format, with a clear organizational structure for subsequent analysis and processing.

Technical Specifications

Field	Type	Description
file_name	string	File name
quality	string	Resolution
crop_type	string	The primary type of crop planted in the surface image.
soil_moisture_level	string	The level of soil moisture in the surface area depicted in the image.
vegetation_density	string	The density of vegetation coverage in the image.
drought_severity	string	The severity of drought in the area shown in the image.

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