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Using MosaicFreeCloud we can generate images of cloud-free satellite.

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MosaicFreeCloud algorithm

This repository is part of the paper: Improving tropical deforestation detection through using Photosynthetic vegetation time series – (PVts-β) (submitted to Ecological Indicators).

By Yonatan Tarazona, Vasco M. Mantas, A.J.S.C. Pereira

Description

This script called "MosaicFreeCloud" generates cloud-free mosaics from more than two images from different satellite sensors (e.g., Landsat, MODIS). The names of the images that enter the script must have the following form: L8003069_20170919_NDVI.tif.

Where,

  • L8: are the initials of the sensor.
  • 003069: They are the path and row of the Landsat scene.
  • 20170919: it is the date of acquisition of the image. In this example it is an image of September 19, 2017. This data is very important because it is how the script will calculate the distances of time between images.
  • NDVI: is a name of the type of variable that we are processing.

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Using MosaicFreeCloud we can generate images of cloud-free satellite.

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