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A high-resolution canopy height model of the Earth

A high-resolution canopy height model of the Earth

13 April 2022
Nico Lang
W. Jetz
Konrad Schindler
Jan Dirk Wegner
ArXivPDFHTML

Papers citing "A high-resolution canopy height model of the Earth"

40 / 40 papers shown
Title
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia
Valerie Zermatten
J. Castillo-Navarro
Pallavi Jain
D. Tuia
Diego Marcos
57
0
0
28 Apr 2025
SSL4Eco: A Global Seasonal Dataset for Geospatial Foundation Models in Ecology
SSL4Eco: A Global Seasonal Dataset for Geospatial Foundation Models in Ecology
Elena Plekhanova
Damien Robert
Johannes Dollinger
Emilia Arens
Philipp Brun
Jan Dirk Wegner
Niklaus Zimmermann
19
0
0
25 Apr 2025
TerraMesh: A Planetary Mosaic of Multimodal Earth Observation Data
TerraMesh: A Planetary Mosaic of Multimodal Earth Observation Data
Benedikt Blumenstiel
P. Fraccaro
V. Marsocci
Johannes Jakubik
Stefano Maurogiovanni
...
Rocco Sedona
Gabriele Cavallaro
Thomas Brunschwiler
Juan Bernabé-Moreno
Nicolas Longépé
25
2
0
15 Apr 2025
LiDAR Remote Sensing Meets Weak Supervision: Concepts, Methods, and Perspectives
LiDAR Remote Sensing Meets Weak Supervision: Concepts, Methods, and Perspectives
Yuan Gao
Shaobo Xia
P. Wang
Xiaohuan Xi
Sheng Nie
Cheng-Xiang Wang
42
0
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
85
2
0
03 Mar 2025
RANGE: Retrieval Augmented Neural Fields for Multi-Resolution Geo-Embeddings
RANGE: Retrieval Augmented Neural Fields for Multi-Resolution Geo-Embeddings
A. Dhakal
S. Sastry
Subash Khanal
Adeel Ahmad
Eric Xing
Nathan Jacobs
48
0
0
27 Feb 2025
Motion-Coupled Mapping Algorithm for Hybrid Rice Canopy
Huaiqu Feng
Guoyang Zhao
Cheng Liu
Yongwei Wang
Jun Wang
37
0
0
22 Feb 2025
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
REO-VLM: Transforming VLM to Meet Regression Challenges in Earth
  Observation
REO-VLM: Transforming VLM to Meet Regression Challenges in Earth Observation
Xizhe Xue
Guoting Wei
Hao Chen
H. Zhang
Feng Lin
Chunhua Shen
Xiao Xiang Zhu
91
3
0
21 Dec 2024
The unrealized potential of agroforestry for an emissions-intensive
  agricultural commodity
The unrealized potential of agroforestry for an emissions-intensive agricultural commodity
Alexander Becker
Jan Dirk Wegner
Evans Dawoe
Konrad Schindler
W. Thompson
Christian Bunn
R. Garrett
Fabio Castro
Simon P. Hart
W. Blaser-Hart
21
0
0
28 Oct 2024
Spatioformer: A Geo-encoded Transformer for Large-Scale Plant Species Richness Prediction
Spatioformer: A Geo-encoded Transformer for Large-Scale Plant Species Richness Prediction
Yiqing Guo
K. Mokany
S. Levick
Jinyan Yang
P. Moghadam
MDE
33
2
0
25 Oct 2024
A Deep Learning Approach to Estimate Canopy Height and Uncertainty by
  Integrating Seasonal Optical, SAR and Limited GEDI LiDAR Data over Northern
  Forests
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
27
0
0
08 Oct 2024
3D-SAR Tomography and Machine Learning for High-Resolution Tree Height
  Estimation
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
Mining Field Data for Tree Species Recognition at Scale
Mining Field Data for Tree Species Recognition at Scale
Dimitri Gominski
Daniel Ortiz-Gonzalo
Martin Brandt
Maurice Mugabowindekwe
Rasmus Fensholt
38
0
0
28 Aug 2024
Depth Any Canopy: Leveraging Depth Foundation Models for Canopy Height
  Estimation
Depth Any Canopy: Leveraging Depth Foundation Models for Canopy Height Estimation
Daniele Rege Cambrin
Isaac Corley
Paolo Garza
24
2
0
08 Aug 2024
OAM-TCD: A globally diverse dataset of high-resolution tree cover maps
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
29
1
0
16 Jul 2024
Tree-D Fusion: Simulation-Ready Tree Dataset from Single Images with
  Diffusion Priors
Tree-D Fusion: Simulation-Ready Tree Dataset from Single Images with Diffusion Priors
Jae Joong Lee
Bosheng Li
Sara Beery
Jonathan Huang
Songlin Fei
Raymond A. Yeh
Bedrich Benes
36
5
0
14 Jul 2024
Mapping Land Naturalness from Sentinel-2 using Deep Contextual and
  Geographical Priors
Mapping Land Naturalness from Sentinel-2 using Deep Contextual and Geographical Priors
Burak Ekim
Michael Schmitt
23
0
0
27 Jun 2024
AGBD: A Global-scale Biomass Dataset
AGBD: A Global-scale Biomass Dataset
Ghjulia Sialelli
T. Peters
Jan Dirk Wegner
Konrad Schindler
AI4TS
23
6
0
07 Jun 2024
Estimating Canopy Height at Scale
Estimating Canopy Height at Scale
Jan Pauls
Max Zimmer
Una M. Kelly
Martin Schwartz
Sassan Saatchi
P. Ciais
S. Pokutta
Martin Brandt
Fabian Gieseke
38
6
0
03 Jun 2024
MMEarth: Exploring Multi-Modal Pretext Tasks For Geospatial
  Representation Learning
MMEarth: Exploring Multi-Modal Pretext Tasks For Geospatial Representation Learning
Vishal Nedungadi
A. Kariryaa
Stefan Oehmcke
Serge J. Belongie
Christian Igel
Nico Lang
35
24
0
04 May 2024
Get Your Embedding Space in Order: Domain-Adaptive Regression for Forest
  Monitoring
Get Your Embedding Space in Order: Domain-Adaptive Regression for Forest Monitoring
Sizhuo Li
Dimitri Gominski
Martin Brandt
X. Tong
P. Ciais
23
0
0
01 May 2024
Uncertainty quantification for probabilistic machine learning in earth
  observation using conformal prediction
Uncertainty quantification for probabilistic machine learning in earth observation using conformal prediction
Geethen Singh
Glenn Moncrieff
Zander Venter
Kerry Cawse-Nicholson
Jasper Slingsby
Tamara B. Robinson
21
13
0
12 Jan 2024
Multimodal deep learning for mapping forest dominant height by fusing
  GEDI with earth observation data
Multimodal deep learning for mapping forest dominant height by fusing GEDI with earth observation data
Man Chen
Wenquan Dong
Hao Yu
Iain Woodhouse
Casey M. Ryan
Haoyu Liu
Selena Georgiou
E. Mitchard
11
1
0
20 Nov 2023
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
Geographic Location Encoding with Spherical Harmonics and Sinusoidal
  Representation Networks
Geographic Location Encoding with Spherical Harmonics and Sinusoidal Representation Networks
M. Rußwurm
Konstantin Klemmer
Esther Rolf
Robin Zbinden
D. Tuia
35
34
0
10 Oct 2023
Accuracy and Consistency of Space-based Vegetation Height Maps for
  Forest Dynamics in Alpine Terrain
Accuracy and Consistency of Space-based Vegetation Height Maps for Forest Dynamics in Alpine Terrain
Yuchang Jiang
Marius Rüetschi
Vivien Sainte Fare Garnot
M. Marty
Konrad Schindler
C. Ginzler
Jan Dirk Wegner
17
2
0
04 Sep 2023
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
F. Wagner
S. Roberts
Alison L. Ritz
Griffin Carter
Ricardo Dalagnol
Samuel Favrichon
Mayumi C. M. Hirye
Martin Brandt
Philipe Ciais
Sassan Saatchi
AI4CE
20
24
0
02 Jun 2023
U-TILISE: A Sequence-to-sequence Model for Cloud Removal in Optical
  Satellite Time Series
U-TILISE: A Sequence-to-sequence Model for Cloud Removal in Optical Satellite Time Series
Corinne Stucker
Vivien Sainte Fare Garnot
Konrad Schindler
AI4TS
11
12
0
22 May 2023
Artificial intelligence to advance Earth observation: a perspective
Artificial intelligence to advance Earth observation: a perspective
D. Tuia
Konrad Schindler
Begum Demir
Gustau Camps-Valls
Xiao Xiang Zhu
...
Mihai Datcu
Jorge-Arnulfo Quiané-Ruiz
Volker Markl
Bertrand Le Saux
Rochelle Schneider
23
10
0
15 May 2023
Vision Transformers, a new approach for high-resolution and large-scale
  mapping of canopy heights
Vision Transformers, a new approach for high-resolution and large-scale mapping of canopy heights
Ibrahim Fayad
P. Ciais
Martin Schwartz
J. Wigneron
N. Baghdadi
...
Alexandre d’Aspremont
F. Frappart
Sassan Saatchi
Agnès Pellissier-Tanon
Hassan Bazzi
19
32
0
22 Apr 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
17
89
0
14 Apr 2023
UnCRtainTS: Uncertainty Quantification for Cloud Removal in Optical
  Satellite Time Series
UnCRtainTS: Uncertainty Quantification for Cloud Removal in Optical Satellite Time Series
Patrick Ebel
Vivien Sainte Fare Garnot
M. Schmitt
Jan Dirk Wegner
Xiao Xiang Zhu
12
31
0
11 Apr 2023
High-resolution canopy height map in the Landes forest (France) based on
  GEDI, Sentinel-1, and Sentinel-2 data with a deep learning approach
High-resolution canopy height map in the Landes forest (France) based on GEDI, Sentinel-1, and Sentinel-2 data with a deep learning approach
Martin Schwartz
P. Ciais
Catherine Ottlé
A. D. Truchis
C. Véga
...
Franccois Morneau
David Morin
D. Guyon
S. Dayau
J. Wigneron
16
44
0
20 Dec 2022
Aboveground carbon biomass estimate with Physics-informed deep network
Aboveground carbon biomass estimate with Physics-informed deep network
J. Nathaniel
L. Klein
C. Watson
Gabrielle Nyirjesy
C. Albrecht
19
8
0
25 Oct 2022
Learning Uncertainty with Artificial Neural Networks for Improved
  Predictive Process Monitoring
Learning Uncertainty with Artificial Neural Networks for Improved Predictive Process Monitoring
Hans Weytjens
Jochen De Weerdt
19
17
0
13 Jun 2022
Country-wide Retrieval of Forest Structure From Optical and SAR
  Satellite Imagery With Deep Ensembles
Country-wide Retrieval of Forest Structure From Optical and SAR Satellite Imagery With Deep Ensembles
Alexander Becker
S. Russo
Stefano Puliti
Nico Lang
Konrad Schindler
Jan Dirk Wegner
14
40
0
25 Nov 2021
High carbon stock mapping at large scale with optical satellite imagery
  and spaceborne LIDAR
High carbon stock mapping at large scale with optical satellite imagery and spaceborne LIDAR
Nico Lang
Konrad Schindler
Jan Dirk Wegner
27
14
0
15 Jul 2021
Mapping oil palm density at country scale: An active learning approach
Mapping oil palm density at country scale: An active learning approach
Andrés C. Rodríguez
Stefano Dáronco
Konrad Schindler
Jan Dirk Wegner
24
40
0
24 May 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,652
0
05 Dec 2016
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