<p><strong>PySIC</strong>&nbsp;stands for Python Satellite Imagery Classifier is a powerful and easy to implement package for satellite image classification using machine learning (ML) model. All available ML models in Scikit-Learn library can be used in PySIC as a clas...

<p><strong>Introduction</strong></p> <p>This model was developed and applied by members of the EFSA Working Group on the transport/storage of fresh fishery products during the preparatory work on the BIOHAZ Scientific Opinion on the use of the so called &#39;superchilli...

<p>This software has been developed from the [FDL SDO Team](https://frontierdevelopmentlab.org/2019-sdo).&nbsp;</p> <p>The package contains:</p> <ul> <li>a configurable pipeline to train and test&nbsp;ML models on data from the Solar Dynamics Observatory</li> <li>some n...

<p>This web application is meant as a tool for taking and managing surveys about experiences on Critical Appraisal<br> Tools (CATs). It will manage the invitations to the interviewees and it has a questionnaire with predefined an-<br> swers. The application will store t...

Advances in gas sensors and open-source hardware are enabling new options for low-cost and light-weight gas sampling devices that are also robust and easy to use and duplicate. Although the number of studies investigating these sensors has been increasing in the last fe...

<p>JavaScript source code for v1.0 of HazMapper, a natural hazards mapping application built in Google Earth Engine. See more:&nbsp;https://nhess.copernicus.org/preprints/nhess-2020-108/</p>

<p>Initial release of GEE Code Editor script to use Sentinel-2 and machine learning for mapping invasive Psidium cattleianum (strawberry guava) in tropical forests of Mauritius.</p>

<p>This repository contains the manual and JavaScript code for my Google Earth Engine workshop. The exercises are meant to give you an idea of the capabilities of Google Earth Engine.</p> <p>Workshop material:</p> <ul> <li> <p><a href="https://github.com/kraaijenbrink/e...

<p>This is the source code for the web application &lsquo;FinnSURV-Assess PWN&rsquo; that is available at <a href="http://finnsurv-assess-pwn.rahtiapp.fi">http://finnsurv-assess-pwn.rahtiapp.fi</a>.</p> <p>FinnSURV-Assess PWN is a tool for assessing the confidence in pe...

<p>A Multi-annotator Survey of Sub-km Craters on Mars</p> <p>A dataset of manually labelled small craters on Mars. Twelve images taken from CTX scenes over the MC11-East Quadrangle on Mars, each marked by six annotators. Agglomerative clustering has been used to combine...