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WS#5 ID.32260: Surveillance of Vector-Borne Diseases
Time:
Wednesday, 20/Jun/2018:
2:00pm - 3:30pm
Session Chair: Prof. Laurent Ferro-Famil Session Chair: Prof. Erxue Chen
Workshop:Land - Ecosystem, Smart Cities & Agriculture College of Geomatics - Room 511
Presentations
Oral ID: 284 / WS#5 ID.32260: 1 Oral Presentation Land & Environment: 32260 - Risk Evaluation, Surveillance and Forecast of Vector-Borne Tropical Diseases by Earth Observation Data Mining
Monitoring the distribution of Vector-borne disease-Schistosomiasis by using Landsat8 and Sentinel2 RS data
Zhaoyan Liu1,2, Lingli Tang1, Chuanrong Li1
1Academy of Opto-electronics,CAS, China, People's Republic of; 2Key Laboratory of Quantitative Remote Sensing Information Technology, Chinese Academy of Sciences, Beijing
Approximately half of the world’s population is at the risk of at least one vector-borne parasitic disease. The survival of intermediate hosts of vector-borne parasitic diseases is governed by various environmental factors, and remote sensing can be used to characterize and monitor environmental factors related to intermediate host breeding and reproduction, and become a powerful means to monitor the vector-borne parasitic diseases. In this research, satellite remotely sensed data has been used to obtain the environmental factors (vegetation, soil, temperature, terrain et al.), which are related to the living, multiplying and transmission of intermediate host. Then based on ground truth data, the remote sensing monitoring model of the intermediate host has been developed, which can enhance the remote sensing monitoring capabilities of the vector-borne parasitic disease and provide the theoretical foundation and technical support for diseases prevention and control.