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Predicting Landscapes from Environmental Conditions Using Generative Networks.

, , , , and . GCPR, volume 11824 of Lecture Notes in Computer Science, page 203-217. Springer, (2019)

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Responses of Winter Wheat Yields to Warming-Mediated Vernalization Variations Across Temperate Europe, , , , and . Frontiers in Ecology and Evolution, (October 2017)Trend Change Detection in NDVI Time Series: Effects of Inter-Annual Variability and Methodology., , , , , and . Remote Sensing, 5 (5): 2113-2144 (2013)TRY – a global database of plant traits, , , , , , , , , and 125 other author(s). Global Change Biology, (2011)Nonlinear dimensionality reduction: Alternative ordination approaches for extracting and visualizing biodiversity patterns in tropical montane forest vegetation data., , , and . Ecol. Informatics, 2 (2): 138-149 (2007)Predicting Landscapes as Seen from Space from Environmental Conditions., , , , and . IGARSS, page 1768-1771. IEEE, (2018)Detection and attribution of large spatiotemporal extreme events in Earth observation data., , , and . Ecol. Informatics, (2013)Analyzing floristic inventories with multiple maps., , and . Ecol. Informatics, (2012)On the Potential of Sentinel-2 for Estimating Gross Primary Production., , , and . IEEE Trans. Geosci. Remote. Sens., (2022)Predicting Forest Cover in Distinct Ecosystems: The Potential of Multi-Source Sentinel-1 and -2 Data Fusion., , , , and . Remote. Sens., 12 (2): 302 (2020)Climate Classifications: the Value of Unsupervised Clustering., , and . ICCS, volume 9 of Procedia Computer Science, page 897-906. Elsevier, (2012)