Go Touch Grass

An interactive map that guides local tourists to the countryside, showing them farms or flower fields that look especially beautiful that day, or have a special significance for the local region.

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Tags

  • Germany

Categories

  • Challenge #3: Beyond Horizons – Redefining Travel with Space Innovation

Description

The Problem

Local tourists and day-trippers often miss out on the most beautiful countryside experiences because:

 • They don’t know which farms, flower fields, or forests look stunning today.  

 • Information is fragmented, outdated, or buried in niche blogs and social media. 

 • Planning rural trips is inconvenient, especially for spontaneous travelers.    

• Seasonal highlights like apple harvests, autumn foliage, or blooming fields are hard to time right.

This leads to missed experiences, overcrowded popular spots, and underutilized local gems.The SolutionGoTouchGrass is an interactive app powered by the satellite data that guides tourists to beautiful countryside locations within a 100km radius of any city or coordinates - based on nearly real-time visual and seasonal data.

Core Features:   

 •  Live bloom detection (flowers, orchards, autumn leaves)    

•  Map-based discovery of farms, fields, forests, and hidden gems   

 •  Photogenic alerts for Instagrammers and photographers   

 •  Fruit ripeness tracking for pick-your-own farms   

 •  Weather overlay to suggest the best days to visit    

•  Local experience event information (horse rides, farm visits, restaurants)


The consumers get the following value

  1. Nature Enthusiasts & Local Explorers

Families with children Schools get seasonal alerts with detailed plant descriptions and best visiting routes including self-pick flowers and fruits farms

  1. Semi-professionals and Creators

Photographers, Instagram usersBloggers and Mediaget alerts about places for unique, beautiful and timely visuals to share online

Use of space tech

Real-time detection of fields and gardens in the countryside which are worth visiting right now, which is provided by the following Copernicus assets:

  • Sentinel-1
  • Sentinel-2
  • In addition: EuroCrops (LPIS) data to train the algorithms

Team

  • Vladyslav - MSc Data Science andMSc Space Science, Geospatial developer


  • Yassine - BSc Civil Engineering, Web developer


  • Vidas - MSc in International Business & Economics, financial analyst and business developer

Prototype

The webb app can be accessed here:

https://9000-firebase-studio-1762643440252.cluster-lu4mup47g5gm4rtyvhzpwbfadi.cloudworkstations.dev/

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