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2304.07213
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Very high resolution canopy height maps from RGB imagery using self-supervised vision transformer and convolutional decoder trained on Aerial Lidar
14 April 2023
James M. Tolan
Hung-I Yang
Ben Nosarzewski
Guillaume Couairon
Huy Q. Vo
J. Brandt
Justine Spore
S. Majumdar
Daniel Haziza
Janaki Vamaraju
Théo Moutakanni
Piotr Bojanowski
T. Johns
Brian White
T. Tiecke
Camille Couprie
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Papers citing
"Very high resolution canopy height maps from RGB imagery using self-supervised vision transformer and convolutional decoder trained on Aerial Lidar"
17 / 17 papers shown
Title
Dargana: fine-tuning EarthPT for dynamic tree canopy mapping from space
Michael J. Smith
Luke Fleming
James E. Geach
Ryan J. Roberts
Freddie Kalaitzis
James Banister
24
0
0
24 Apr 2025
LiDAR Remote Sensing Meets Weak Supervision: Concepts, Methods, and Perspectives
Yuan Gao
Shaobo Xia
P. Wang
Xiaohuan Xi
Sheng Nie
Cheng-Xiang Wang
42
1
0
24 Mar 2025
Lossy Neural Compression for Geospatial Analytics: A Review
Carlos Gomes
Isabelle Wittmann
Damien Robert
Johannes Jakubik
Tim Reichelt
...
Romeo Kienzler
Rania Briq
Sabrina Benassou
Michele Lazzarini
C. Albrecht
88
2
0
03 Mar 2025
High Resolution Tree Height Mapping of the Amazon Forest using Planet NICFI Images and LiDAR-Informed U-Net Model
F. Wagner
Ricardo Dalagnol
Griffin Carter
Mayumi C. M. Hirye
Shivraj Gill
...
Sarah R Worden
Martin Brandt
P. Ciais
Stephen C Hagen
Sassan Saatchi
AI4CE
24
0
0
17 Jan 2025
A Deep Learning Approach to Estimate Canopy Height and Uncertainty by Integrating Seasonal Optical, SAR and Limited GEDI LiDAR Data over Northern Forests
Jose B. Castro
Cheryl Rogers
Camile Sothe
Dominic Cyr
Alemu Gonsamo
32
0
0
08 Oct 2024
3D-SAR Tomography and Machine Learning for High-Resolution Tree Height Estimation
Grace Colverd
Jumpei Takami
Laura Schade
Karol Bot
Joseph A. Gallego-Mejia
22
0
0
09 Sep 2024
Depth Any Canopy: Leveraging Depth Foundation Models for Canopy Height Estimation
Daniele Rege Cambrin
Isaac Corley
Paolo Garza
26
2
0
08 Aug 2024
Extracting Object Heights From LiDAR & Aerial Imagery
Kiril Bangachev
23
0
0
02 Aug 2024
OAM-TCD: A globally diverse dataset of high-resolution tree cover maps
Josh Veitch-Michaelis
Andrew Cottam
Daniella Schweizer
Eben N. Broadbent
David Dao
Ce Zhang
Angélica María Almeyda Zambrano
Simeon Max
31
1
0
16 Jul 2024
AGBD: A Global-scale Biomass Dataset
Ghjulia Sialelli
T. Peters
Jan Dirk Wegner
Konrad Schindler
AI4TS
32
6
0
07 Jun 2024
MMEarth: Exploring Multi-Modal Pretext Tasks For Geospatial Representation Learning
Vishal Nedungadi
A. Kariryaa
Stefan Oehmcke
Serge J. Belongie
Christian Igel
Nico Lang
37
24
0
04 May 2024
First Mapping the Canopy Height of Primeval Forests in the Tallest Tree Area of Asia
Guangpeng Fan
Fei Yan
Xiangquan Zeng
Qingtao Xu
Ruoyoulan Wang
...
Jialing Zhou
Liangliang Nan
Jinhu Wang
Zhiwei Zhang
Jia Wang
29
1
0
23 Apr 2024
Climate-sensitive Urban Planning through Optimization of Tree Placements
Simon Schrodi
Ferdinand Briegel
Max Argus
Andreas Christen
Thomas Brox
AI4CE
47
0
0
09 Oct 2023
SSL4EO-L: Datasets and Foundation Models for Landsat Imagery
Adam J. Stewart
Nils Lehmann
Isaac Corley
Yi Wang
Yi-Chia Chang
Nassim Ait Ali Braham
Shradha Sehgal
Caleb Robinson
Arindam Banerjee
21
29
0
15 Jun 2023
Sub-Meter Tree Height Mapping of California using Aerial Images and LiDAR-Informed U-Net Model
F. Wagner
S. Roberts
Alison L. Ritz
Griffin Carter
Ricardo Dalagnol
Samuel Favrichon
Mayumi C. M. Hirye
Martin Brandt
Philipe Ciais
Sassan Saatchi
AI4CE
25
24
0
02 Jun 2023
Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning
Colorado Reed
Ritwik Gupta
Shufan Li
S. Brockman
Christopher Funk
Brian Clipp
Kurt Keutzer
Salvatore Candido
M. Uyttendaele
Trevor Darrell
113
169
0
30 Dec 2022
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
258
7,412
0
11 Nov 2021
1