INVESTIGATING THE GEOGRAPHIC BIAS IN CLOUD COVER OVERESTIMATION OF SENTINEL-2 LEVEL 1C AND LEVEL 2A PRODUCTS

Activity: Talk or presentation › Oral presentation › science to science / art to art

Description

Using exploratory methods, we evaluate a previously published geographic bias, i.e., Sentinel-2 Level 1C and Level 2A cloud cover overestimations for very high altitude areas, and visualize the detected bias using the example of South America. We narrow down the problem to specific areas and estimate the amount of data affected by the specific geographic characteristics, resulting in a strong image selection bias for global analyses. This should raise awareness of potentially omitted yet valid Sentinel-2 data in global big data applications.
Period19 May 2021
Event titleBig Data from Space 2021
Event typeOnline-Conference
Degree of RecognitionInternational

Fields of Science and Technology Classification 2012

  • 105 Geosciences

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