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Seasonal Vegetation Trends for Europe over 30 Years from a Novel Normalised Difference Vegetation Index (NDVI) Time-Series - The TIMELINE NDVI Product.

, , , , , , , , , , and . Remote. Sens., 15 (14): 3616 (July 2023)

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Extreme hot and dry summers in Germany: Analysis of long-term earth observation time series of vegetation condition, , , , and . ESA Living Planet Symposium, (Mai 2019)Validation of the TIMELINE AVHRR Land Surface Temperature (LST) Product with MODIS and in situ LST, , , , , , and . ESA Living Planet Symposium 2019, (2019)Analyzing phenology of grassland along a transect through altitudinal zones using remote sensing, , , and . (29. - 30. 09 2016)The Effect of Droughts on Vegetation Condition in Germany: An Analysis Based on Two Decades of Satellite Earth Observation Time Series and Crop Yield Statistics, , , , and . Remote Sensing, (July 2019)Earth Observation Based Monitoring of Forests in Germany: A Review, , , , , , , , , and . Remote Sensing, 12 (21): 3570 (October 2020)AgriSens - DEMMIN 4.0., , , , , , , , , and 2 other author(s). GIL Jahrestagung, volume P-309 of LNI, page 415-420. Gesellschaft für Informatik e.V., (2021)Potential and Challenges of Harmonizing 40 Years of AVHRR Data: The TIMELINE Experience., , , , , , , , , and 19 other author(s). Remote. Sens., 13 (18): 3618 (2021)Mountain crop monitoring with multitemporal Sentinel-1 and Sentinel-2 imagery., , , , , and . MultiTemp, page 1-4. IEEE, (2017)Analyzing the impact of snowmelt timing on grassland green-up dates in the European Alps using webcams, , , and . Japan Society of Photogrammetry and Remote Sensing (JSPRS) Fall Conference 2017, Yamaguchi, Japan, (9.-10. 10 2017)Mapping Crop Types of Germany by Combining Temporal Statistical Metrics of Sentinel-1 and Sentinel-2 Time Series with LPIS Data., , , , , and . Remote. Sens., 14 (13): 2981 (2022)