Usable observations over Europe: evaluation of compositing windows for Landsat and Sentinel-2 time series

Author:

Lewińska Katarzyna Ewa12,Frantz David3,Leser Ulf4,Hostert Patrick15

Affiliation:

1. Geography Department, Humboldt-Universität zu Berlin, Berlin, Germany

2. SILVIS Lab, Department of Forest and Wildlife Ecology, University of Wisconsin-Madison, Madison, WI, USA

3. Geoinformatics – Spatial Data Science, Trier University, Trier, Germany

4. Department of Computer Science, Humboldt-Universität zu Berlin, Berlin, Germany

5. Geography, Integrative Research Institute on Transformations of Human-Environment Systems (IRI THESys), Humboldt-Universität zu Berlin, Berlin, Germany

Funder

Deutsche Forschungsgemeinschaft

Publisher

Informa UK Limited

Reference144 articles.

1. Effect of the revisit interval and temporal upscaling methods on the accuracy of remotely sensed evapotranspiration estimates

2. Andrefouet, S., E, B. de C., Brown de Colstoun, E., & E.C., C. (Doorn, J., Hall, B., Holifield, D. K., Howard, C., Kranenburg, S., Lee, C., Masek, S., Moran, J. B., Mueller-Karger, M., Ohlen, F., Palandro, D., Price, D., Qi, J., Reed, J., Samek, B. C., Scaramuzza, J., Skole, P., Schott, D., Storey, J., Thome, J., Torres-Pulliza, K., Vogelmann, D., Williams, J., Woodcock, D. L., Wylie, B. C.). (2003). Preliminary assessment of the value of landsat 7 etm+ data following scan line corrector malfunction. USGS. https://www.usgs.gov/media/files/preliminary-assessment-value-landsat-7-etm-slc-data

3. A new phenology-based method for mapping wheat and barley using time-series of Sentinel-2 images

4. Inter-comparison of four models for smoothing satellite sensor time-series data to estimate vegetation phenology

5. Validation of Copernicus Sentinel-2 Cloud Masks Obtained from MAJA, Sen2Cor, and FMask Processors Using Reference Cloud Masks Generated with a Supervised Active Learning Procedure

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