This tutorial illustrates a proof of concept about using Remotior Sensus in Jupyter through an interface similar to the Semi-Automatic Classification Plugin. Jupyter notebooks are interactive documents that can be edited in a web browser, which allow for coding in Python and interact with widgets. Several cloud services offer Jupyter notebooks to code, and for example Google Colab is a free service by Google that allows for executing a Jupyter notebook in the cloud. In a recent Remotior Sensus update (v. 0.3), a new module allows for displaying an interface similar to the ..read more

The Semi-Automatic Classification Plugin (SCP) has been updated to version 8.2.0 which is focused on the download of new products. This function requires Remotior Sensus to be updated at least to version 0.2.01, which also includes several new products from the Microsoft Planetary Computer.  Microsoft Planetary Computer is a platform developed by Microsoft to foster environmental sustainability and Earth science through a Data Catalog, a JupyterHub and several other tools. In this case, Remotior Sensus connects to the Data Catalog to search a ..read more

The Semi-Automatic Classification Plugin (SCP) has been updated to version 8.1.7 which solves a few bugs and adds the options to download Sentinel-2 images from the Copernicus Data Space Ecosystem. Read more ..read more

This is a tutorial about Remotior Sensus, a Python package that allows for the processing of remote sensing images and GIS data. In particular, this tutorial describes the use of Remotior Sensus in Copernicus JupyterLab, which is a Jupyter Notebook service in a web-based environment, offering several tools for working with the Copernicus Data Space. This service can be accessed at this link https://jupyterhub.dataspace.copernicus.eu after a free registration to the Copernicus Data Space Ecosystem (CDSE). The Jupyter Notebooks are available in 3 flavors: Small (2 CPU cores and ..read more

This is a tutorial about Remotior Sensus, a Python package that allows for the processing of remote sensing images and GIS data. In the last few months Remotior Sensus was frequently update to fix and integrate new functions, in particular for the integration with the Semi-Automatic Classification Plugin for QGIS. In this tutorial we are going to use Remotior Sensus to perform the Random Forest classification of a Copernicus Sentinel-2 image, which involves the following main steps: Create a BandSet using an image Load a training input Perform the random forest classificatio ..read more

This is part of a series of video tutorials focused on the tools of the Semi-Automatic Classification Plugin (SCP). In this tutorial, the Download products tab is illustrated, which allows for downloading free satellite images such as Landsat and Sentinel-2. You can find more information in the user manual at this link. Following the video tutorial. For any comment or question, join the Facebook group or GitHub discussions about the Semi-Automatic Classification Plugin ..read more

The new version 8 of the Semi-Automatic Classification Plugin (SCP) has been recently released, along with the updated user manual. I kindly invite you to translate the user manual and the program interface to your language. Your contribution is fundamental for every user who doesn't speak English. It also can be a fun way to deeply learn about the SCP. Read more ..read more

This is the first of a series of video tutorials focused on the tools of the Semi-Automatic Classification Plugin (SCP). In this tutorial, the Band set tab is illustrated, which allows for managing input bands. You can find more information in the user manual at this link. Following the video tutorial. For any comment or question, join the Facebook group or GitHub discussions about the Semi-Automatic Classification Plugin ..read more

This is the first tutorial of the new Semi-Automatic Classification Plugin version 8. This tutorial describes the essential steps for the classification of a multispectral image (i.e., a modified Copernicus Sentinel-2 image):  Define the Band set and create the Training Input File Create the ROIs Create a Classification Preview Create the Classification Output Following the video of this tutorial. The detailed steps of this tutorial are described in the user manual, at the following link https://semiautomaticclassificationmanual.readthedocs.io/en/latest/tutorial_1.html I am going ..read more

I am glad to announce the release of the new version 8 (codename "Infinity") of the Semi-Automatic Classification Plugin (SCP) for QGIS. This new version is based on a completely new Python processing framework that is Remotior Sensus, which expands the processing capabilities of SCP, also allowing for the creation of Python scripts. The following video provides an introduction to the SCP tools. Read more ..read more