Blue Health Watch: Remote Sensing for Monitoring Water Quality and Climate-Sensitive Disease Risks

Abstract Climate change increasingly threatens water security and public health through degraded water quality and rising disease risks. This seminar explores how remote sensing technologies—such as Landsat, Sentinel-2, and MODIS—can monitor key water quality indicators including turbidity, chlorophyll-a, and surface temperature. By linking satellite data with health surveillance, the Blue Health Watch framework offers a low-cost, scalable approach for predicting outbreaks of waterborne and climate-sensitive diseases. The session highlights how integrating Earth observation, machine learning, and public health data can enhance early-warning systems and strengthen climate-resilient health strategies in Australia and the Indo-Pacific region. Date, Time, Location, and Organised By LSGI Research Seminar📅 23 October 2025 (Thu)🕙 10:00 AM – 11:00 AM📍 EF312, PolyU Organised by:Department of Land Surveying and Geo-InformaticsThe Hong Kong Polytechnic UniversityHong Kong

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-23
DOI
https://doi.org/10.5281/zenodo.17438200
Primary Topic
Preterm Birth and Chorioamnionitis
Type
article
Field-Weighted Citation Impact
0.00
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article

Blue Health Watch: Remote Sensing for Monitoring Water Quality and Climate-Sensitive Disease Risks

Zenodo (CERN European Organization for Nuclear Research)
Preterm Birth and Chorioamnionitis
article

Blue Health Watch: Remote Sensing for Monitoring Water Quality and Climate-Sensitive Disease Risks

article en

Abstract

Abstract Climate change increasingly threatens water security and public health through degraded water quality and rising disease risks. This seminar explores how remote sensing technologies—such as Landsat, Sentinel-2, and MODIS—can monitor key water quality indicators including turbidity, chlorophyll-a, and surface temperature. By linking satellite data with health surveillance, the Blue Health Watch framework offers a low-cost, scalable approach for predicting outbreaks of waterborne and climate-sensitive diseases. The session highlights how integrating Earth observation, machine learning, and public health data can enhance early-warning systems and strengthen climate-resilient health strategies in Australia and the Indo-Pacific region. Date, Time, Location, and Organised By LSGI Research Seminar📅 23 October 2025 (Thu)🕙 10:00 AM – 11:00 AM📍 EF312, PolyU Organised by:Department of Land Surveying and Geo-InformaticsThe Hong Kong Polytechnic UniversityHong Kong

Zenodo (CERN European Organization for Nuclear Research)
Scientific Research and Development (Germany) (DE), Institute of Engineering Science (RU)
Climate action
Openalex Percentile: Top 36%
Preterm Birth and Chorioamnionitis
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