Vegetation Observation in the Big Data Era: Sentinel-2 data for mapping the seasonality of land vegetation
Z Cai - 2019 - portal.research.lu.se
2019•portal.research.lu.se
Using satellite remote sensing data for observing vegetation seasonality is an important
approach to estimate phenology and carbon uptake of land vegetation. The successful
launch of Sentinel-2B in 2017 initiated full operation of the Sentinel-2 twin satellites, and
they now provide 10-60 m spatial resolution satellite data at 5 days temporal resolution
worldwide, releasing approximately 3.2 TB of image data per day. With Sentinel-2's huge
amount of high spatial resolution and high temporal resolution data, Earth observation is …
approach to estimate phenology and carbon uptake of land vegetation. The successful
launch of Sentinel-2B in 2017 initiated full operation of the Sentinel-2 twin satellites, and
they now provide 10-60 m spatial resolution satellite data at 5 days temporal resolution
worldwide, releasing approximately 3.2 TB of image data per day. With Sentinel-2's huge
amount of high spatial resolution and high temporal resolution data, Earth observation is …
Abstract
Using satellite remote sensing data for observing vegetation seasonality is an important approach to estimate phenology and carbon uptake of land vegetation. The successful launch of Sentinel-2B in 2017 initiated full operation of the Sentinel-2 twin satellites, and they now provide 10-60 m spatial resolution satellite data at 5 days temporal resolution worldwide, releasing approximately 3.2 TB of image data per day. With Sentinel-2's huge amount of high spatial resolution and high temporal resolution data, Earth observation is facing new opportunities and challenges.
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