| Spectral environmental indicators associated with mosquito breeding habitats using satellite images in Assiut Governorate |
| Paper ID : 1082-ICRSSSA-FULL |
| Authors |
|
Mohamed Mahmoud Sowilem *1, Ahmed M. El-Zeiny2, Hala Effat3, Kamel Mansour4 1Environmental Studies Department, National Authority for Remote Sensing and Space Sciences (NARSS), Egypt 2Associate Prof.and Head of Environmental Studies Department, Environmental Studies and Land Use Division, National Authority for Remote Sensing and Space Sciences (NARSS) 3Urban Planning Department, Environmental Studies and Land Use Division, National Authority for Remote Sensing and Space Sciences (NARSS) 4Urban Palnning Department, Environmental Studies and Land Use Division, National Authority for Remote Sensing and Space Sciences (NARSS) |
| Abstract |
| Assiut Governorate is characterized by a unique nature that contains arable land, lakes, residential areas and a desert. The risk of Mosquito-borne diseases depends mainly on ecological variables. Recently, GIS and Remote Sensing were used for capturing and analyzing entomological, environmental and landscape features to assessing, modelling and monitoring spatiotemporal distribution habitats of mosquito. This work aims to delineate areas under risk of mosquito, accordingly, priority is given to strategic places to implement integrated control and its management of mosquitoes that transmit diseases. Ranges of LST, NDMI and NDVI were calculated at different breeding habitats, which used as main environmental factor for modelling and prediction of mosquito proliferation risk at different Assiut districts. From surveying results at September, 2019, Culex perexiguus, Culex pipiens, Ochlerotatus detritus and Culex tritaeniorhynchus present with various density located in the study area. Where Culex perexiguus was more abundant (50.24 %) of total mosquito species. The least mosquito abundant was Culex tritaeniorhynchus (7.19 %). During January 2020, where 23 breeding sites visited were checked for larvae. There are 4 species of mosquito larvae distributed in the study area namely; Culex pipiens, Culex perexiguus, Ochlerotatus detritus and Anopheles tenebrosus present with various density. The mosquito species Culex pipiens was more abundant (89.06%), while Anopheles tenebrosus was least abundant (0.22 %). Statistical calculations showed that Cx. pipies is the most dominant species in most of sites surveyed. |
| Keywords |
| Mosquito, Assuit, environment, GIS modeling, Remote sensing |
| Status: Accepted (Oral Presentation) |
