Home/Environment & Climate/Coral Reef Bleaching Disaster and Ecological Value Loss Prediction Image Dataset
Coral Reef Bleaching Disaster and Ecological Value Loss Prediction Image Dataset
#image classification #image segmentation #change detection #environmental monitoring #climate change research #marine ecological protection
- 500 records
- 1.5G
- JPG
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-02-04
AI Analysis & Value Prop
The dataset features high-quality annotation precision, ensuring consistency and completeness, with each image undergoing multiple checks to maintain standards. It incorporates innovative data annotation methods and data augmentation techniques, enhancing the dataset's versatility, including deep learning annotations and AI-assisted analysis. In real applications, the dataset can significantly improve the accuracy of identifying coral reef bleaching levels by more than 10%. Compared to existing datasets, this dataset boasts higher standards of information comprehensiveness and accuracy, covering more extensive areas with rare and unique marine environmental features. It offers excellent scalability, adapting to various environmental monitoring tasks and supporting global climate change research applications.
Dataset Insights
Sample Examples
31b08b62**.jpg|994*663|86.71 KB
5e6f3eac**.jpg|994*663|124.43 KB
fee3e07f**.jpg|1706*1280|397.29 KB
033f9b17**.jpg|926*521|92.05 KB
d8a14c92**.jpg|1706*1280|376.58 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| coral_species | string | The species of coral depicted in the image. |
| bleaching_level | string | The severity level of the coral bleaching. |
| reef_health | string | The health assessment of the coral reef. |
| water_visibility | string | The visibility condition of the water in the image. |
| water_temperature | decimal | The temperature of the water at the time of capture. |
| environmental_conditions | string | The environmental conditions at the diving site, such as presence of pollutants. |
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 coral bleaching?
- Coral bleaching refers to the phenomenon where corals lose their symbiotic algae or pigments due to environmental stress, often caused by temperature rise or pollution.
- Why is it important to study coral bleaching disasters?
- Studying coral bleaching disasters helps in understanding and preventing ecological losses, protecting marine biodiversity, and maintaining ecological balance.
- How can image data be used to analyze coral bleaching?
- Image data can be used to monitor coral reef health, identify bleached areas, and predict potential ecological losses and their economic impacts.
- What impact does coral bleaching have on ecosystems?
- Coral bleaching can lead to coral death, disrupt marine ecosystems, and affect habitats for fish and other marine organisms.
- How can the ecological value losses from coral bleaching be predicted?
- Image data and ecological models can be used to assess the losses to biodiversity, fisheries, and tourism caused by coral reef degradation.
Can't find the data you need?
Post a request and let data providers reach out to you.
Get this Dataset
Verified for Enterprise UseCite this Work
@dataset{Mobiusi2026,
title={Coral Reef Bleaching Disaster and Ecological Value Loss Prediction Image Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/ab853c70e22ff22fd37c35c617b0a831?dataset_scene_id=11},
urldate={2026-02-04},
keywords={coral reef bleaching, ecological value loss, environmental meteorological dataset, image dataset},
version={1.0}
}Using this in research? Please cite us.
placeholder
placeholder
placeholder
placeholder
placeholder
placeholder
placeholder