@article{fdi:010095533,
  title = {{C}haracterizing urban landscapes using very-high resolution satellite imagery to predict {A}e. albopictus larval presence probability in public spaces},
  author = {{T}eillet, {C}laire and {P}ottier, {H}. and {D}evillers, {R}odolphe and {D}efossez, {A}lexandre and {C}atry, {T}hibault and {K}err, {A}. and {J}ean, {F}. and {L}'{A}mbert, {G}. and {L}e{D}oeuff, {N}. and {R}oux, {E}mmanuel},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he global spread of {A}edes albopictus raises growing public health concerns due to its role in transmitting dengue, chikungunya, and {Z}ika. {I}n southern {F}rance, the increase in imported dengue cases and local transmission underlines the urgent need for effective vector control. {W}hile efforts primarily target private breeding sites, public spaces also contribute notably to larvae presence. {U}nderstanding the impact of urban landscapes on the distribution of breeding sites is crucial for optimizing vector control strategies, identifying high-risk areas, and reducing mosquito populations. {T}his study aims to investigate how urban landscapes impact the distribution of {A}e. albopictus larvae in public spaces, with a focus on storm drains and telecom cable chambers in {M}ontpellier, {F}rance. {V}ery high-resolution satellite imagery was used to characterize urban landscapes through textural analyses of spectral indices. {E}nvironmental bias was assessed by analyzing the representativity of sampled breeding sites within the diverse urban landscapes. {S}pecies distribution models ({SDM}s) were built, their predictive accuracy was evaluated, and an ensemble model was created to predict larval presence across the study area. {SDM}s predicted a high probability of larval presence in the western and northeastern parts of {M}ontpellier, with low uncertainty. {T}he most influential variables for predicting larval presence were the mean of {N}ormalized {D}ifference {V}egetation {I}ndex ({NDVI}), texture indices from both {NDVI}, brightness index ({BI}), and the panchromatic image. {U}rban vegetation significantly influences larval presence, although higher vegetation index values correlate with a decreased probability of larval occurrence. {A}dditionally, the combination of vegetation and urban structures plays a crucial role in determining the presence of {A}e. albopictus larvae in public spaces, where small, organized urban objects and large patches of vegetation increase the likelihood of larval presence. {T}his study highlights the potential of very high-resolution remote sensing and species distribution modeling for enhancing urban mosquito control strategies, ultimately contributing to improved public health policies outcomes in the face of vector-borne disease threats.},
  keywords = {},
  booktitle = {},
  journal = {{PL}o{S} {O}ne},
  volume = {20},
  numero = {11},
  pages = {e0335794 [25 p.]},
  year = {2025},
  DOI = {10.1371/journal.pone.0335794},
  URL = {https://www.documentation.ird.fr/hor/fdi:010095533},
}