Fog and Low-Cloud Coverage Spatial Localization Dataset

#Fog area localization #Low-cloud boundary delineation #Spatial extent recognition #Geospatial validation #Weather monitoring #Low-visibility alerts #Remote sensing mapping #Regional impact analysis

Records: 4100
Size: 0.3GB
Format: JSON
Provider: MOBIUSI INC
Updated: v1.02026-11-04

AI Analysis & Value Prop

This dataset records GIS extents of fog and low-cloud regions, including coverage polygons, boundary lines, representative points, and observation times for analyzing the spatial distribution of low-visibility weather. It also provides coverage area, boundary length, centroid, spatial bounding box, and geometry validity indicators to support spatial queries, regional statistics, and geometry quality checks. It is suitable for fine-tuning spatial localization models in meteorological satellite Earth observation, fog mapping, and low-cloud extent analysis; dataset size, time span, and coordinate reference details should be verified against the specific data files.

Overview

Dataset Insights

Preview

Sample Examples

sample.json

{}

Schema

Technical Specifications

Field	Type	Description
file_name	string	File name
spatial_bbox	object	Minimum longitude and latitude bounding box calculated from the coverage geometry.
centroid_point	object	Geometric center calculated from the coverage polygon.
geometry_valid	boolean	Spatial geometry validity indicator based on geometry closure, coordinate validity, and topology rules.
gis_observation	object	Raw observation object from a GIS or remote sensing annotation file, containing coverage polygons, boundary lines, representative points, and observation times.
boundary_length_km	number	Total length of the coverage boundary, calculated from the boundary geometry and measured in kilometers.
coverage_area_sq_km	number	Area of the region calculated from the coverage polygon, measured in square kilometers.

Trust

Compliance Statement

Authorization Type

Proprietary - Commercial AI Training License (No Redistribution)

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

FAQ

Frequently Asked Questions

What spatial information does the dataset contain?: It includes raw GIS observation objects for fog or low-cloud regions, along with coverage area, boundary length, centroid, spatial bounding box, and geometry validity indicators. Raw observations may include coverage polygons, boundary lines, representative points, and observation times.

Does the dataset include satellite imagery or a fixed time span?: The specified contents are GIS spatial observations and extent information, so the presence of satellite imagery cannot be confirmed. Check the specific data package for dataset size, observation period, coordinate reference system, and other file specifications.

How can I obtain and use the data?: Obtain the files through the product page or the delivery channel provided by the data supplier, and use the field descriptions to parse spatial objects and observation times. Before use, verify the coordinate reference information, geometry validity, and file format for compatibility with your GIS or modeling tools.

What are the licensing terms and suitable use cases?: Usage rights depend on the license terms listed on the product page or provided by the data supplier. Confirm whether commercial use, redistribution, and model training are permitted before use. Suitable applications include fog and low-cloud localization, low-visibility weather monitoring, remote sensing mapping, and regional impact analysis.

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Cite this Work

@dataset{Mobiusi2026,
  title={Fog and Low-Cloud Coverage Spatial Localization Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/737665d4523328a7276d2f8401a9f38f?dataset_scene_id=11},
  urldate={2026-10-27},
  keywords={fog localization data,low-cloud coverage,GIS weather data,meteorological satellite remote sensing,low-visibility weather,fog boundary data,spatial localization dataset,fog mapping},
  version={1.0}
}

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