Land Use Cover Remote Sensing Dataset

#object detection #image segmentation #land monitoring #agricultural planning #environmental assessment

20000 records
5G
JPG/PNG/JSON
CC-BY-NC-SA 4.0
MOBIUSI INC

Updated:2026-02-04

AI Analysis & Value Prop

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.

Dataset Insights

Sample Examples

9fdd0647**.jpg|3656*2740|4.29 MB

2ce6e041**.jpg|5472*3648|6.90 MB

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

Frequently Asked Questions

What is the Land Use Land Cover Remote Sensing Dataset?: The Land Use Land Cover Remote Sensing Dataset is a high-quality dataset used for analyzing and detecting land use and cover conditions in the agricultural sector. It contains a large amount of image data suitable for object detection tasks.

In which agricultural research areas can this dataset be applied?: This dataset can be applied in research areas such as agricultural planning, crop monitoring, and natural resource management, providing support for precision agriculture.

How can this dataset be used for object detection?: Machine learning and deep learning algorithms can be used to train and test images in the dataset to identify and classify different types of land use and land cover.

What are the advantages of this dataset in agriculture?: This dataset provides detailed information on land cover and use, helping agricultural professionals optimize resource allocation, improve production efficiency, and enhance decision-making strategies.

What is the importance of object detection in agricultural remote sensing?: Object detection can automate the identification and classification of surface features, improving the efficiency and accuracy of remote sensing image analysis, enabling rapid acquisition of agricultural information for timely decision-making.

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Cite this Work

@dataset{Mobiusi2025,
  title={Land Use Cover Remote Sensing Dataset},
  author={MOBIUSI INC},
  year={2025},
  url={https://www.mobiusi.com/datasets/6ff37b260e3595af1347351b14f99fd7},
  urldate={2025-09-15},
  keywords={remote sensing dataset, agricultural object detection, land use monitoring, remote sensing image, dataset},
  version={1.0}
}

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