## 3 Results  
In the period analyzed (1979-2018), the Scopus archive search identified 2315 scientific publications (see Supplementary Materials). According to Figure 1, the rs+pheno research field has been significantly increasing (r\({}^{2}\) = 0.75) independently from the general tendency of producing more and more publications. Comprehensively, 117 journals have been used to publish researches about remotely-sensed phenology. Table 1 shows the journals that published more than 20 papers from 1979 to 2018. Among these, the most prestigious journals (impact factor, IF \(>\) 5) used in rs+pheno studies were: Global Change Biology (GCB, IF = 8.88), Remote Sensing of Environment (RSE, IF = 8.218), ISPRS-Journal of Photogrammetry and Remote Sensing (ISPRS, IF = 6.942), and IEEE-Transactions on Geoscience and Remote Sensing (IEEE, IF = 5.63); on the contrary, the most cited (H index \(>\) 200) were: RSE (H index = 238), GCB (H index = 217), and IEEE-Transactions on Geoscience and Remote Sensing (H index = 216). The most active journals (\(>\)100 publications) were: RSE, International Geoscience and Remote Sensing Symposium-IGARSS, Remote Sensing (RS), International Journal of Remote Sensing (IJRS), and Proceedings of SPIE-The International Society for Optical Engineering (SPIE) with, respectively, 232, 166, 150, 148, and 117 papers. It is to be noticed that, among the most publishing, the only journals without remote sensing-like terms in their title were Agricultural and Forest Meteorology (AFM, 57), Global Change Biology (GCB, 30), and Ecological Indicators (EI, 23). According to Figure 2, the journals with the longest history in rs+pheno studies were RSE and IJRS (since 1980), while the most recent was RS (since 2009). However, the latter showed a marked increase in the last three years, twice the other journals. As for the purely ecology-based journals, the first one publishing a paper in rs+pheno was AFM in 1996, followed by GCB in 2003 and EI in 2009; AFM still represents the most active. Figure 1: Temporal trend of rs+pheno (remotely sensed phenology) papers over the period 1979–2018. In blue, the total number of rs+pheno papers; in orange, the ratio between the total number of rs+pheno papers and the total number of all the scientific papers multiplied by 1,000,000. From the bibliographic data network analysis, two maps were derived (Figures 3 and 4) with 47 keywords for 1999-2008 and 214 keywords for 2009-2018: the closer the keywords, the higher their relatedness. The comparison between the two keyword maps underlined, on one hand, the growing role of MODIS and time-series data in rs+pheno studies, and, on the other hand, the larger dispersion of terms in the first decade with respect to the higher concentration in the second decade, which was also characterized by a massive enrichment of new research arguments. In particular, in 2009-2018, 'forestry', 'crops', 'biology', 'ecosystem', 'climate change', and 'time-series' represented the main issues around which the other keywords were distributed. Some examples of new major keywords appeared in 2009-2018 were: 'primary productivity', 'growing season','spatial variability', 'biodiversity', 'image reconstruction', 'harmonic analysis', 'trend analysis', 'accuracy','machine learning', 'uav', 'radar', etc. According to Figure 3, one of the newest keywords in 1999-2008 was'spatial resolution'; while in