2 citations · 5 across the 5 of their papers we have counts for
5 papers
Physics informed Transformer-VAE for biophysical parameter estimation: PROSAIL model inversion in Sentinel-2 imagery
Prince Mensah, Pelumi Victor Aderinto, Ibrahim Salihu Yusuf +1
Accurate retrieval of vegetation biophysical variables from satellite imagery is crucial for ecosystem monitoring and agricultural management. In this work, we propose a physics-in…
InstaGeo: Compute-Efficient Geospatial Machine Learning from Data to Deployment
Ibrahim Salihu Yusuf, Iffanice Houndayi, Rym Oualha +3
Open-access multispectral imagery from missions like Landsat 8-9 and Sentinel-2 has fueled the development of geospatial foundation models (GFMs) for humanitarian and environmental…
A Geospatial Approach to Predicting Desert Locust Breeding Grounds in Africa
Ibrahim Salihu Yusuf, Mukhtar Opeyemi Yusuf, Kobby Panford-Quainoo +1
Desert locust swarms present a major threat to agriculture and food security. Addressing this challenge, our study develops an operationally-ready model for predicting locust breed…
On pseudo-absence generation and machine learning for locust breeding ground prediction in Africa
Ibrahim Salihu Yusuf, Kale-ab Tessera, Thomas Tumiel +4
Desert locust outbreaks threaten the food security of a large part of Africa and have affected the livelihoods of millions of people over the years. Machine learning (ML) has been…
Differentiable Histogram with Hard-Binning
Ibrahim Yusuf, George Igwegbe, Oluwafemi Azeez
The simplicity and expressiveness of a histogram render it a useful feature in different contexts including deep learning. Although the process of computing a histogram is non-diff…