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Sub-Meter Tree Height Mapping of California using Aerial Images and
  LiDAR-Informed U-Net Model

Sub-Meter Tree Height Mapping of California using Aerial Images and LiDAR-Informed U-Net Model

2 June 2023
F. Wagner
S. Roberts
Alison L. Ritz
Griffin Carter
Ricardo Dalagnol
Samuel Favrichon
Mayumi C. M. Hirye
Martin Brandt
Philipe Ciais
Sassan Saatchi
    AI4CE
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Papers citing "Sub-Meter Tree Height Mapping of California using Aerial Images and LiDAR-Informed U-Net Model"

3 / 3 papers shown
Title
High Resolution Tree Height Mapping of the Amazon Forest using Planet NICFI Images and LiDAR-Informed U-Net Model
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
OpenForest: A data catalogue for machine learning in forest monitoring
OpenForest: A data catalogue for machine learning in forest monitoring
Arthur Ouaknine
T. Kattenborn
Etienne Laliberté
David Rolnick
41
5
0
01 Nov 2023
Very high resolution canopy height maps from RGB imagery using
  self-supervised vision transformer and convolutional decoder trained on
  Aerial Lidar
Very high resolution canopy height maps from RGB imagery using self-supervised vision transformer and convolutional decoder trained on Aerial Lidar
James M. Tolan
Hung-I Yang
Ben Nosarzewski
Guillaume Couairon
Huy Q. Vo
...
Piotr Bojanowski
T. Johns
Brian White
T. Tiecke
Camille Couprie
19
90
0
14 Apr 2023
1