The "Germany Mosaic" is a time series of Landsat satellite images of the whole of Germany from 1984 to 2023. The image data are divided into the sheet sections of the TK100 [1]. The dataset includes for each year quality optimized 6 band images for summer (May to July) and fall (August to October) and the vegetation indices NDVI and NirV for the same time periods.In mid-latitudes, seasonal changes in vegetation and thus in the image data are normally much greater than changes over the course of several years. The temporal periods of the data sets were chosen so that together they represent the entire vegetation period (May to October), while the separation into a summer and a fall period represents the seasonal change in the metabolic rate of natural biotopes and at the same time record most of the changes in agriculture due to sowing and harvesting. Depending on the weather conditions, the individual image data contain the median, the mean value or the best individual image of the specified period (see "D-Mosaic_data_description").Remote sensing has become an important tool and service for environmental research, especially for landscape analysis [2]. Moreover, the spatial distribution and development of remotely sensed parameters can effectively complement and extend traditional medical, biological, ecological and geographical tasks [5]. The immediate reason for this collection are the "Birth Cohort" studies that attempt to link the distribution and diversity of green spaces with epidemiological or administrative health data. Depending on the study setting, usually a high spatial and temporal resolution and coverage are required. As some cohorts date back to the mid-1980s and the participants are spread across the whole of Germany, a time span of 40 years and the coverage of the whole of Germany was required [3][4].