facebookresearch/HighResCanopyHeight
This repository provides inference code to compute canopy height maps from aerial images, as described in the paper "Very high resolution canopy height maps from RGB imagery using self-supervised vision transformer and convolutional decoder trained on Aerial Lidar".
PythonApache-2.0
Stargazers
- 0x365UK
- aazuspanCalifornia, United States
- agentmorrisGoogle AI for Nature and Society
- alek-p@Axcient
- alequech
- aprilianidiar@gicait
- apuzziSpatial Informatics Group
- azomorod
- brownagUSDA-NRCS
- coupriec
- fdbesanto2
- FloFranzNorthwest German Forest Research Institute (NW-FVA)
- GitHub30Osaka, Japan
- harryjfowen
- huangzq681Sun Yat-sen University
- idrisdemir
- jdilger
- JohnMBrandt@wri
- Kulbear@AltaML
- Lstarry
- maawooFriedrich Schiller University Jena
- MayerT1NASA SERVIR
- montimajDesert Research Institute
- mxgbr
- Naughtyba
- NeuroData-ltd@neurodata
- nickb-
- phborba1º CGEO
- quqixunChengdu,China
- robeson1010
- robmarkcole@earthdaily
- sunny1401ML at The University of Edinburgh and SENSE CDT
- tZimmermann98
- wiesehahngermany
- wxyang007Department of Geography, University of California, Santa Barbara
- YunyiShenMassachusetts Institute of Technology