The document discusses using satellite data from MODIS sensors to develop indicators for monitoring zoonotic diseases. Some key points: 1) Land surface temperature (LST) and vegetation index data from MODIS sensors can be used to develop indicators like frost periods and growing degree days linked to disease transmission. 2) LST data correlates well with meteorological station data and can be used to reconstruct continuous temperature time series. 3) Derived indicators like LST, snow cover maps, and enhanced vegetation index can be input into machine learning models to create risk models for tick-borne diseases like TBE.