2024_VIIRS_CumTemp_IxodesRicinus

Abstract: This dataset presents cumulative temperature masks that identify areas that are warm enough to stimulate tick questing activity, using a temperature threshold of 6 C. A series of scripts download and process VIIRS EO imagery of Land Surface Temperature to create temperature masks every 8 days using a combination of decadal (8-day) and daily satellite data. This dataset is an updated version for 2024. These result in Boolean masks where suitable areas according to temperature limits on I. ricinus are identified as 1 and unsuitable areas as 0. This mask can then be applied to the existing seasonal Tick model to make a more timely prediction of tick activity based on recent temperatures. This dataset will be updated every couple of months by the end of the year 2024. Image acquisition: Two different products are downloaded VIIRS Land Surface Temperature/Emissivity 8-day L3 Global 1 km SIN grid (VNP21A2, version 6) and VIIRS Land Surface Temperature/Emissivity Daily L3 Global 1 km SIN grid (VNP21A1D, version 6). Processing:The cumulative temperature mask is processed in two steps through two separate scripts: a. Acquisition of 1km VIIRS Land Surface Temperature imagery from NASA's data repository.b. Importing of the imagery into a suitable format from which regularly updated masks are calculated. File naming schema: ER+ year + 8-day number (46 in total) for example: ER2433C68.tif 24 refers to the year 2024 and 33 (decadal number) in this example refers to the 22nd of September. ERCumTemp + year + month+ day: ERCumTemp240109.jpg, 240109 refers to the 8-day starting 9th of January. gif file presents time-series animation for a whole year. Projection + EPSG code:Latitude-Longitude/WGS84 (EPSG: 4326)Spatial extent:Extent -32.0000000000000000,10.0000000000000000 : 68.9999999999999574,81.9999999999999716Spatial resolution:0.0083333 deg (approx. 1000 m) Temporal resolution:8-day for year 2024 Pixel values: Suitable areas as 1 and unsuitable areas as 0 Source: VIIRS NASA :VNP21A2 and VNP21A1D Software used:Codes for modelling are in Python The software used for map production is ESRI ArcMap 10.8 License: CC-BY-SA 4.0Processed by:ERGO (Environmental Research Group Oxford) https://ergoonline.co.uk/ for the H2020 MOOD project