Résumé
This dataset is related to a study of the ecology of the two mosquito species, Aedes aegypti and Aedes albopictus, vector of Dengue virus, in Phnom Penh in 2019-2020. This study was conducted by the Medical and Veterinary Entomology Unit of Institut Pasteur du Cambodge, and IRD Espace-Dev for the ecological analysis. The sampling of larvae was organized in 40 pagodas, randomly sampled among all pagodas in Phnom Penh. The collected mosquito larvae were transferred to the insectarium room to be bred at the adult stage and to identify Aedes aegypti and Aedes albopictus. A SPOT7 (@ Airbus DS 2019) satellite image acquired on the 11th of December 2019 (DINAMIS Id 2020-111-Sci) was classified using object-based image analysis with complementary OpenStreetMap data (@ OpenStreetMap contributors), in nine classes (1. Roads, 2. Built-up areas, 3. Water bodies and rivers, 4. Wetlands, 5. Dry bare areas, 6. Bare crop fields, 7. Low vegetation areas, 8. High vegetation areas, 9. Forested areas). For each of the 40 pagodas, landscape indices were calculated within a radius of 250, 500 or 1000 meters: the proportion of surface covered by each class, the patch density (the number of patches of each class per buffer zone), and the edge density (the perimeter of all the patches of each class). The entomological study was supported by an internal funding of the Institut Pasteur du Cambodge, and by the Calmette & Yersin post-doctoral grant for Dr. Pierre-Olivier Maquart. The acquisition of the SPOT7 (@ Airbus DS 2019) image was funded by the French DINAMIS and GEOSUD programs (DINAMIS Id 2020-111-Sci).