2024_VIIRS_CumTemp_IxodesRicinus_Difference_2020to2022

Abstract : This dataset compares cumulative temperature masks of the year 2024 with the average in 2020,2021, and 2022. The input data is taken from Cumulative temperature masks calculated in those years and then turned to integer numbers of 0 to 3 to present which of these years were suitable. The data can be classified as: 1 for unsuitable areas 0 for Suitable in 2024 2 for Suitable in 2020-2024 3 for Suitable in 2020-2022 This dataset will be updated every couple of months by the end of the year 2024. File naming schema: ER24ti202122 + 8-day number (46 in total) for example : ER24to20212208C68F.tif, 08 in this example refers to 6th of March ERCumTepdif24 + month+ day: ERCumTempdif240306.jpg, 0306 refers to the 8-day starting that day. 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 Pixel values: 1 for unsuitable areas 0 for Suitable in 2024 2 for Suitable in 2020-2024 3 for Suitable in 2020-2022 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