How to determine cloud coverage of Sentinel-2 images?
To assess the cloud coverage of the optical images, the cloud detector described in Schmitt et al. (2019a) was used. The cloud-free Sentinel-2 images have been selected with a threshold of 10% cloud coverage, while cloudy images are within 20% and 70% of cloud coverage.
Is there a way to remove clouds from satellite images?
The task of detecting and removing clouds from satellite images has been tackled since the beginning of Earth observation activities, and is still today an area of active research. In this work, we present a deep learning model capable of removing clouds from Sentinel-2 images.
How is Cloud removal using a deep residual neural network?
In this paper, a deep residual neural network architecture is designed to remove clouds from multispectral Sentinel-2 imagery. SAR-optical data fusion is used to exploit the synergistic properties of the two imaging systems to guide the image reconstruction.
How are Sentinel-2 surface reflectance and cloud probability different?
Sentinel-2 surface reflectance and Sentinel-2 cloud probability are two different image collections. Each collection must be filtered similarly (e.g., by date and bounds) and then the two filtered collections must be joined.
How to mask clouds and Shadows in S2?
This tutorial is an introduction to masking clouds and cloud shadows in Sentinel-2 (S2) surface reflectance (SR) data using Earth Engine. Clouds are identified from the S2 cloud probability dataset (s2cloudless) and shadows are defined by cloud projection intersection with low-reflectance near-infrared (NIR) pixels.
What is the purpose of the Sentinel 2 program?
The Sentinel-2 program is intended to complement the previous SPOT missions and provide a next generation capability for land use and land cover observations. [1] Several methods have been developed to remove cloud cover. One approach has been to take a cloud free image of a place and simply merge it with a place where a cloud exists.
Where can I get Sentinel data for free?
Data sources by Sentinel can be obtained for free from the Copernicus Open Access Hub ( https://scihub.copernicus.eu/ ). Data can be corrected for atmospheric conditions using semi-open source tools, such as SEN2COR.