no code implementations • 5 Oct 2023 • Joseph A. Gallego-Mejia, Anna Jungbluth, Laura Martínez-Ferrer, Matt Allen, Francisco Dorr, Freddie Kalaitzis, Raúl Ramos-Pollán
We observe a small improvement in model performance with pre-training compared to training from scratch and discuss the limitations and opportunities of SSL for remote sensing and land cover segmentation.
no code implementations • 3 Oct 2023 • Laura Martínez-Ferrer, Anna Jungbluth, Joseph A. Gallego-Mejia, Matt Allen, Francisco Dorr, Freddie Kalaitzis, Raúl Ramos-Pollán
In this work we pre-train a DINO-ViT based model using two Synthetic Aperture Radar datasets (S1GRD or GSSIC) across three regions (China, Conus, Europe).
no code implementations • 2 Oct 2023 • Matt Allen, Francisco Dorr, Joseph A. Gallego-Mejia, Laura Martínez-Ferrer, Anna Jungbluth, Freddie Kalaitzis, Raúl Ramos-Pollán
Satellite-based remote sensing is instrumental in the monitoring and mitigation of the effects of anthropogenic climate change.
no code implementations • 29 Sep 2023 • Matt Allen, Francisco Dorr, Joseph A. Gallego-Mejia, Laura Martínez-Ferrer, Anna Jungbluth, Freddie Kalaitzis, Raúl Ramos-Pollán
In this work we pretrain a CLIP/ViT based model using three different modalities of satellite imagery across five AOIs covering over ~10\% of Earth's total landmass, namely Sentinel 2 RGB optical imagery, Sentinel 1 SAR radar amplitude and interferometric coherence.
1 code implementation • 13 Apr 2023 • Omar A. Castaño-Idarraga, Raul Ramos-Pollán, Freddie Kalaitzis
We assess the performance of our approach on a binary semantic segmentation task and a binary image classification task, both derived from a dataset created for the northwest of Colombia.
no code implementations • 18 Nov 2022 • Vanessa Boehm, Wei Ji Leong, Ragini Bal Mahesh, Ioannis Prapas, Edoardo Nemni, Freddie Kalaitzis, Siddha Ganju, Raul Ramos-Pollan
Since such data might not be available during other events or regions, we aimed to produce a landslide density map using only elevation and SAR data to be useful to decision-makers in rapid response scenarios.
1 code implementation • 17 Nov 2022 • Vanessa Böhm, Wei Ji Leong, Ragini Bal Mahesh, Ioannis Prapas, Edoardo Nemni, Freddie Kalaitzis, Siddha Ganju, Raul Ramos-Pollan
In the case of landslides, rapid assessment involves determining the extent of the area affected and measuring the size and location of individual landslides.
1 code implementation • 5 Nov 2022 • Vanessa Boehm, Wei Ji Leong, Ragini Bal Mahesh, Ioannis Prapas, Edoardo Nemni, Freddie Kalaitzis, Siddha Ganju, Raul Ramos-Pollan
With climate change predicted to increase the likelihood of landslide events, there is a growing need for rapid landslide detection technologies that help inform emergency responses.
1 code implementation • 13 Jul 2022 • Julien Cornebise, Ivan Oršolić, Freddie Kalaitzis
We hereby hope to foster broad-spectrum applications of ML to satellite imagery, and possibly develop from free public low-resolution Sentinel2 imagery the same power of analysis allowed by costly private high-resolution imagery.
no code implementations • 5 Nov 2021 • Muhammed Razzak, Gonzalo Mateo-Garcia, Luis Gómez-Chova, Yarin Gal, Freddie Kalaitzis
High resolution remote sensing imagery is used in broad range of tasks, including detection and classification of objects.
no code implementations • 17 Dec 2020 • Christian Schroeder de Witt, Catherine Tong, Valentina Zantedeschi, Daniele De Martini, Freddie Kalaitzis, Matthew Chantry, Duncan Watson-Parris, Piotr Bilinski
Extreme precipitation events, such as violent rainfall and hail storms, routinely ravage economies and livelihoods around the developing world.
no code implementations • 15 Nov 2020 • Dolores Garcia, Gonzalo Mateo-Garcia, Hannes Bernhardt, Ron Hagensieker, Ignacio G. Lopez Francos, Jonathan Stock, Guy Schumann, Kevin Dobbs, Freddie Kalaitzis
A complete map of our daily waters can give us an early warning for where droughts are born: the receding tips of the flowing network.
1 code implementation • 14 Nov 2020 • Issam Laradji, Pau Rodriguez, Freddie Kalaitzis, David Vazquez, Ross Young, Ed Davey, Alexandre Lacoste
Cattle farming is responsible for 8. 8\% of greenhouse gas emissions worldwide.