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4 dni temu · Sentinel-2 is a constellation of Earth observation satellites, developed under the direction of the European Space Agency, as part of the European Commission's ambitious Copernicus Earth observation program. The full Copernicus program, which consists of several different Sentinel missions, is the most comprehensive systematic Earth Observation program ever created, providing land, ocean, and ...
1 dzień temu · View source on GitHub. 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.
28 paź 2021 · For this purpose, Sentinel 1 and Sentinel 2 images were used to create a map in the study area. The Sentinel 1 data came from Google Earth Engine's (GEE) Level-1 Ground Range Detected (GRD ...
6 paź 2023 · Image Information and Metadata. Run in Google Colab. View source on GitHub. Print image objects to explore band names, projection information, properties, and other metadata. The following examples demonstrate printing the entire set of image metadata as well as requesting specific metadata elements programmatically.
This script downloads Sentinel-2 images from Google Earth Engine to a specified Google Drive folder. Each image is a .tif file named after the image product-id with all Sentinel-2 bands, clipped with a user-specified polygon. Requirements: A Google account with Google Earth Engine Access (https://signup.earthengine.google.com)
13 mar 2021 · I'm trying to download an image from Google Earth Engine sentinel data, but I was only able to get the images at a low resolution. ... How can I fetch high-resolution google map satellite image using Python? 5. ... Export Google Earth Engine RGB Sentinel-2 Imagery to Google Drive using Python API. 1.
The solution which eventually worked is below: # This is the cloud masking function provided by GEE but adapted for use in Python. def maskS2clouds (image): qa = image.select ('QA60') # Bits 10 and 11 are clouds and cirrus, respectively. cloudBitMask = 1 << 10 cirrusBitMask = 1 << 11 # Both flags should be set to zero, indicating clear ...
