Modeling Anopheles mosquito density spatial and seasonal variations using remotely sensed imagery and statistical methods

• المؤلف الرئيسي: A. Charoenpanyanet
• التنسيق: دورية
• منشور في: 2018
• الموضوعات: Earth and Planetary Sciences; Physics and Astronomy; Social Sciences
• الوصول للمادة أونلاين: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85018453581&origin=inward; http://cmuir.cmu.ac.th/jspui/handle/6653943832/57223
• المؤسسة: Chiang Mai University

© Geoinformatics International. Remotely sensed data and statistical model are integrated to develop the model for predicting Anopheles mosquitoes, which is called Anopheles Mosquito Density Predictive Model (AMDP model) It is found that NDVI values that are higher than 0.501, temperature values wit...