ITU-GeoAI-Challenge's repositories
5th-place-GEO-AI-Challenge-for-Cropland-Mapping
5th place solution to the GEO-AI-Challenge for Cropland Mapping by ITU on Zindi!
8th-place-GEO-AI-Challenge-for-Cropland-Mapping
8th place solution to the ITU GEO-AI crop mapping challenge
GeoAI-Challenge-Air-Pollution-Susceptibility-Mapping
Submission by Isaac Oluwafemi Ogunniyi (Zindi username: isaacoluwafemiog) for the ITU GeoAI Air Pollution Susceptibility Mapping challenge
GeoAI-Challenge-for-Air-Pollution-Susceptibility-Mapping
Submissions for username JuliusFx for the above ITU problem statement
1st-place-GeoAI-Challenge-for-Air-Pollution
1st-place-GeoAI-Challenge-for-Air-Pollution-Susceptibility-Mapping by xiaoironman
2nd-place-GEO-AI-Challenge-for-Cropland-Mapping
2nd place solution to the GEO-AI Challenge for Cropland Mapping by ITU on Zindi!
3rd-place-Challenge-for-Landslide-Susceptibility-Mapping
3rd place solution to the GEO-AI Challenge for Landslide Susceptibility Mapping competition by ITU on Zindi!
Estimating-Soil-Parameters-from-Hyperspectral-Images-by-ITU-2023
The traditional in-situ soil analysis methods are laborious & inefficient, limiting scalability and hindering timely access to crucial soil data for optimal fertilization by farmers. In the amazing challenge, we tried to predict soil parameters(Phosphorous, Potassium, Magnesium and pH)from hyperspectral satellite images. http://tinyurl.com/mw6p25tr
GEO-AI-Challenge-for-Cropland-Mapping-Challenge
This repository contains all the deriverables for username JuliusFx ranked position 12 at the close of the competition
Landslide_Susceptibility_Mapping
Submission by Isaac Oluwafemi Ogunniyi (zindi username: isaacOluwafemiOg) for the ITU GeoAI Landslide Susceptibility Mapping challenge