The new generation sensor VIIRS of Suomi NPP satellite has replaced MODIS sensors of TERRA & AQUA. VIIRS spectral channels are not full analogues of MODIS, and their spatial resolution differs slightly. Both sensors were designed for a similar range of observation tasks, and their joint usage should be effective. However the time period from the launch of Suomi NPP to the present is short enough to develop a mutual long-term time series (over tens of years). Suomi NPP VIIRS joint use with Terra MODIS and Aqua MODIS for building multi-year time series allows us to extend the time range of observations, and to ensure observations to be continued in the future. In this paper, we consider the methods of spatial co-registration of MODIS and VIIRS data, and provide the estimation of the calibration accuracy and spectral matching of channels of red (channel 1 MODIS and I1 VIIRS) and the near infrared range (channel 2 MODIS and I2 VIIRS). These are the main channels for assessing vegetation cover.

To build RS time series by resampling images to a common spatial resolution is the most obvious solution. Hovewer we propose an object-oriented approach, with nodes of the irregular grid of the time series being the centroids of the objects of study, and the pixels of the inner region being the attributes of those objects. The proposed approach allows one to combine the remote sensing data of different spatial resolution into a single series pack, which maintains the geometry and meta information about pixels (angles, sun, quality parameters, etc.). Meta-information serves as a criterion for the use of certain data in the output values defined for the objects for the selected time scale (interval: day, week, month, year, etc.).