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5472*3648
Paddy Field
3
Grassland
Optical Sensor
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3656*2740
paddy field
1
grassland
optical sensor

Land Use Cover Remote Sensing Dataset

The current agricultural sector faces rapid depletion of land resources and environmental changes. Especially against the backdrop of global climate change, efficient monitoring of land use has become particularly important. Existing remote sensing datasets are mostly focused on urban areas with insufficient attention to agricultural land coverage, leading to a lack of data support for agricultural planning and environmental assessment. This dataset aims to provide a high-quality land use cover remote sensing dataset to address the technical needs for object detection in remote sensing images within the agricultural field. Data collection uses high-resolution remote sensing satellite images covering agricultural land nationwide, ensuring diversity and applicability of the data. We ensure high quality and consistency through multiple rounds of annotation and expert review. The storage format is JPG, organized by category to facilitate subsequent use and analysis.

Technical Specifications

Field Type Description
file_name string File name
quality string Resolution
object_category string The category of the agricultural-related object detected in the image, such as paddy field, orchard, forest, etc.
object_count int The number of objects detected in the image.
land_cover_type string The type of land cover in each area of the image, such as grassland, water body, bare land, etc.
sensor_type string The type of sensor used to acquire the image, such as optical sensor, radar sensor, 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

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