no code implementations • 14 Apr 2023 • Jamie Tolan, Hung-I Yang, Ben Nosarzewski, Guillaume Couairon, Huy Vo, John Brandt, Justine Spore, Sayantan Majumdar, Daniel Haziza, Janaki Vamaraju, Theo Moutakanni, Piotr Bojanowski, Tracy Johns, Brian White, Tobias Tiecke, Camille Couprie
The maps are generated by the extraction of features from a self-supervised model trained on Maxar imagery from 2017 to 2020, and the training of a dense prediction decoder against aerial lidar maps.
2 code implementations • 13 May 2020 • John Brandt, Fred Stolle
Here we present a globally consistent method to identify trees with canopy diameters greater than three meters with medium-resolution optical and radar imagery.
no code implementations • 7 Aug 2019 • John Brandt
Dozens of countries have committed to restoring the ecological functionality of 350 million hectares of land by 2030.
1 code implementation • 23 Apr 2019 • John Brandt
Land use classification of low resolution spatial imagery is one of the most extensively researched fields in remote sensing.
1 code implementation • 16 Mar 2019 • John Brandt
Extractive summarization and imbalanced multi-label classification often require vast amounts of training data to avoid overfitting.