ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1904.13270
  4. Cited By
Country-wide high-resolution vegetation height mapping with Sentinel-2

Country-wide high-resolution vegetation height mapping with Sentinel-2

30 April 2019
Nico Lang
Konrad Schindler
Jan Dirk Wegner
    MDE
ArXivPDFHTML

Papers citing "Country-wide high-resolution vegetation height mapping with Sentinel-2"

8 / 8 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
34
0
0
17 Jan 2025
First Mapping the Canopy Height of Primeval Forests in the Tallest Tree
  Area of Asia
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
35
1
0
23 Apr 2024
A Novel Semisupervised Contrastive Regression Framework for Forest
  Inventory Mapping with Multisensor Satellite Data
A Novel Semisupervised Contrastive Regression Framework for Forest Inventory Mapping with Multisensor Satellite Data
Shaojia Ge
Hong Gu
W. Su
Anne Lonnqvist
O. Antropov
38
4
0
01 Dec 2022
A high-resolution canopy height model of the Earth
A high-resolution canopy height model of the Earth
Nico Lang
W. Jetz
Konrad Schindler
Jan Dirk Wegner
32
261
0
13 Apr 2022
TIML: Task-Informed Meta-Learning for Agriculture
TIML: Task-Informed Meta-Learning for Agriculture
Gabriel Tseng
Hannah Kerner
David Rolnick
19
7
0
04 Feb 2022
Deep-Learning-Based Single-Image Height Reconstruction from
  Very-High-Resolution SAR Intensity Data
Deep-Learning-Based Single-Image Height Reconstruction from Very-High-Resolution SAR Intensity Data
M. Recla
M. Schmitt
14
31
0
03 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
35
14
0
15 Jul 2021
Towards a Collective Agenda on AI for Earth Science Data Analysis
Towards a Collective Agenda on AI for Earth Science Data Analysis
D. Tuia
R. Roscher
Jan Dirk Wegner
Nathan Jacobs
Xiaoxiang Zhu
Gustau Camps-Valls
AI4CE
44
68
0
11 Apr 2021
1