A method is proposed for calibrating modern pollen data in terms of remote sensing data. It includes numerical techniques familiar to the pollen analyst, remote sensing data and a simple although robust technique of model testing. The method allows the calibration of equations to predict radiometric data in regions (such as Southern Patagonia) where the paucity of modern climate data is a major obstacle for research in palaeoclimatology. Remote sensing data from the National Oceanic and Atmospheric Administration (NOAA-9) Advanced Very High Resolution Radiometer (AVHRR) [Channels 1 (.58 to .68 μm) and 2 (.725 to 1.1 μm)], were used to calculate albedo values. These values were used to (1) calculate simple ratio (SR) and Normalized Difference Vegetation Index (NDVI), and (2) to calibrate them in terms of the modern pollen spectra of 74 sites of Southern Chubut, Santa Cruz and Tierra del Fuego, to produce predictive models. The data sets were then split so that one half of the data predicted the radiometric data of the other half. The predicted data of channels 1 and 2 were then used to calculate predicted SR and NDVI values, thus opening new dimensions for paleoenvironmental research. Observed and predicted data have distinctive values in the forest, humid and arid steppes, and coastal locations. The models can be used to reconstruct the history of vegetation, particularly in the arid region.