J. Brandt

发表

The untapped potential of mining news media events for understanding environmental change

Kathleen Buckingham, J. Brandt, Will Anderson, 2020 .

Identifying social media user demographics and topic diversity with computational social science: a case study of a major international policy forum

C. Buntain, Kathleen Buckingham, J. Brandt, 2020, J. Comput. Soc. Sci..

Exploring links between national climate strategies and non-state and subnational climate action in nationally determined contributions (NDCs)

A. Hsu, O. Widerberg, J. Brandt, 2019, Making Climate Action More Effective.

Imbalanced multi-label classification using multi-task learning with extractive summarization pdf

John Brandt, J. Brandt, 2019, ArXiv.

A global method to identify trees outside of closed-canopy forests with medium-resolution satellite imagery

F. Stolle, J. Brandt, 2020, International Journal of Remote Sensing.

A global method to identify trees inside and outside of forests with medium-resolution satellite imagery pdf

John Brandt, Fred Stolle, F. Stolle, 2020, ArXiv.

Wall-to-wall mapping of tree extent in the tropics with Sentinel-1 and Sentinel-2

F. Stolle, J. Brandt, John Brandt, 2023, Remote Sensing of Environment.

Sub-meter resolution canopy height maps using self-supervised learning and a vision transformer trained on Aerial and GEDI Lidar

Huy Q. Vo, C. Couprie, Piotr Bojanowski, 2023, ArXiv.

Text mining policy: Classifying forest and landscape restoration policy agenda with neural information retrieval pdf

John Brandt, J. Brandt, 2019, ArXiv.

Spatio-temporal crop classification of low-resolution satellite imagery with capsule layers and distributed attention pdf

John Brandt, J. Brandt, 2019, ArXiv.

Very high resolution canopy height maps from RGB imagery using self-supervised vision transformer and convolutional decoder trained on aerial lidar

Huy Q. Vo, C. Couprie, Piotr Bojanowski, 2023, Remote Sensing of Environment.