First Mapping the Canopy Height of Primeval Forests in the Tallest Tree Area of Asia

23 April 2024

Papers citing "First Mapping the Canopy Height of Primeval Forests in the Tallest Tree Area of Asia"

5 / 5 papers shown

Title
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 62 106 0 14 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 Martin Schwartz P. Ciais Catherine Ottlé A. D. Truchis C. Véga ... Franccois Morneau David Morin D. Guyon S. Dayau J. Wigneron 71 46 0 20 Dec 2022
3D Point Cloud Registration with Multi-Scale Architecture and Unsupervised Transfer Learning Sofiane Horache Jean-Emmanuel Deschaud Franccois Goulette 3DPC 58 30 0 26 Mar 2021
Country-wide high-resolution vegetation height mapping with Sentinel-2 Nico Lang Konrad Schindler Jan Dirk Wegner MDE 51 156 0 30 Apr 2019
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 1.4K 14,575 0 07 Oct 2016