Daily projections of mean and maximum temperature and vapour pressure deficit (VPD) across the SAFE landscape in Borneo, Malaysia. Data was used to model the number of yearly life-cycle completions (LCC/year) of the disease vector Aedes Albopictus in order to study the impact of deforestation for oil palm plantation on microclimate-driven vector suitability. Dataset contains stacked raster files with a 50-meter grid cell resolution (n = 145,214 grid cells, equivalent to approximately 363 km2). Microclimate data were projected using LiDAR-derived DEM, CHM and point cloud-derived metrics, combined with microclimatic data from dataloggers, as inputs (see associated doi for more information: Jucker et al (2018)).

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