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Meteorology

Meteorology

Improved collection of weather information for better weather forecasting

© unsplash/@nedaastani

With Machine Learning, weather forecasting can be optimized by

automating cloud classification and cloud coverage reporting by satellite imagery analysis
automatically retrieving weather information from websites and news articles
measuring sea levels from satellite imagery

Projects in Meteorology

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Convective Clouds Detection

Machine learning in remote sensing: Read here about our project with the DWD and the object detection of convective clouds using deep learning.

Crop Type Classification

Machine learning and remote sensing: The computer vision software developed by dida enables predictions for innovative agriculture.

Monitoring Urban Growth and Change

We as an AI software provider developed, with the help of computer vision, an algorithm for monitoring & predicting urban change.

Blog Posts in Meteorology

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Computer Vision

The best (Python) tools for remote sensing

By Emilius Richter • August 2nd, 2022

I present the best (Python) tools for remote sensing and processing of satellite data, based on our practical experience with them at dida. For some I provide application examples including code.
Introductions

Project proposals - the first step to a successful ML project

By Emilius Richter • July 18th, 2022

For a software provider, the project proposal is the first step toward meeting the needs of the customer. In this article, I will describe the most important modules in machine learning project proposals.
Computer Vision

Classification of Crop Fields through Satellite Image Time Series

By Tiago Sanona • August 19th, 2021

Following the paper by Garnot et al., we utilize an altered version of the Transformer to classify crop fields from time series of satellite images. With this, we achieve better results than traditional methods (e. g. random forests) and with less resources than recurrent networks.
Computer Vision

CLIP: Mining the treasure trove of unlabeled image data

By Fabian Gringel • June 21st, 2021

Contrastive Language-Image Pretraining (short: CLIP) makes use of image captions to train a zero-shot image classifier. In this blog article I will give a rough non-technical outline of how CLIP works, and I will also show how you can try CLIP out yourself!
Computer Vision

Migrating labels from Planet Scope to Sentinel-2

By Migrating labels from Planet Scope to Sentinel-2 • June 4th, 2021

In this blog article, I want to briefly describe the process of migrating labels from Planet Scope to Sentinel-2 images.
Projects

21 questions we ask our clients: Starting a successful ML project

By Emilius Richter • May 21st, 2021

We discuss what questions should be considered and answered up front to launch a successful machine learning software project.
Tools

The best image labeling tools for Computer Vision

By The best image labeling tools for Computer Vision • April 8th, 2021

Here we have a closer look at some of the best image labeling tools for Computer Vision tasks. We will install and configure the tools and illustrate their capabilities by applying them to label real images for an object detection task.
Computer Vision

Using satellite imagery for greenfield exploration

By Fabian Dechent • March 19th, 2021

In this article, we will have a look at the possibilities that remote sensing via spaceborne imaging provides for greenfield exploration, i.e. locating areas where the soil bears high grade minerals of interest.

Use Cases in Meteorology

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Detection of convective clouds on satellite images

Entity recognition in news articles and free text

Thunderstorm damage analysis and claim processing