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A Maximum Likelihood Based Nonparametric Iterative Adaptive Method of Synthetic Aperture Radar Tomography and Its Application for Estimating Underlying Topography and Forest Height [PDF]

Sensors, 2018
Synthetic aperture radar tomography (TomoSAR) is an important way of obtaining underlying topography and forest height for long-wavelength datasets such as L-band and P-band radar.
Xing Peng, Xinwu Li, Changcheng Wang, Haiqiang Fu, Yanan Du   +4 more
doaj   +2 more sources

Improving Heterogeneous Forest Height Maps by Integrating GEDI-Based Forest Height Information in a Multi-Sensor Mapping Process

Remote Sensing, 2022
Forests are one of the key elements in ecological transition policies in Europe. Sustainable forest management is needed in order to optimise wood harvesting, while preserving carbon storage, biodiversity and other ecological functions.
David Morin, Milena Planells, Nicolas Baghdadi, Alexandre Bouvet, Ibrahim Fayad, Thuy Le Toan, Stéphane Mermoz, Ludovic Villard   +7 more
doaj   +3 more sources

Monitoring changes of forest height in California

Frontiers in Remote Sensing
Forests of California are undergoing large-scale disturbances from wildfire and tree mortality, caused by frequent droughts, insect infestations, and human activities.
Samuel Favrichon, Jake Lee, Yan Yang, Yan Yang, Ricardo Dalagnol, Ricardo Dalagnol, Fabien Wagner, Le Bienfaiteur Sagang, Le Bienfaiteur Sagang, Sassan Saatchi, Sassan Saatchi, Sassan Saatchi   +11 more
doaj   +2 more sources

Height-diameter allometry of tropical forest trees [PDF]

, 2011
Tropical tree height-diameter (H:D) relationships may vary by forest type and region making large-scale estimates of above-ground biomass subject to bias if they ignore these differences in stem allometry.
Affum-Baffoe, K., Arets, E. J. M. M., Baker, T. R., Banin, L., Berry, N. J., Bird, M., Brondizio, E. S., Chave, J., de Camargo, P., Djagbletey, G., Domingues, T. F., Drescher, M., Fearnside, P. M., Feldpausch, T. R., Franca, M. B., Fyllas, N. M., Higuchi, N., Hladik, A., Hunter, M. O., Lewis, S. L., Lopez-Gonzalez, G., Palace, Michael W., Phillips, O. L., Quesada, C. A.   +23 more
core   +3 more sources

Using GEDI Waveforms for Improved TanDEM-X Forest Height Mapping: A Combined SINC + Legendre Approach

Remote Sensing, 2021
In this paper, we consider a new method for forest canopy height estimation using TanDEM-X single-pass radar interferometry. We exploit available information from sample-based, space-borne LiDAR systems, such as the Global Ecosystem Dynamics ...
Hao Chen, Shane R. Cloude, Joanne C. White   +2 more
doaj   +1 more source

Forest Biomass Mapping Using Continuous InSAR and Discrete Waveform Lidar Measurements: A TanDEM-X/GEDI Test Study

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
This article addresses the implementation of an above ground biomass (AGB) estimation scheme relying on the height-to-biomass allometry at stand level in the context of the synergistic use of continuous TanDEM-X (bistatic) interferometric synthetic ...
Changhyun Choi, Matteo Pardini, John Armston, Konstantinos P. Papathanassiou   +3 more
doaj   +1 more source

Deep Learning Model Transfer in Forest Mapping Using Multi-Source Satellite SAR and Optical Images

Remote Sensing, 2023
Deep learning (DL) models are gaining popularity in forest variable prediction using Earth observation (EO) images. However, in practical forest inventories, reference datasets are often represented by plot- or stand-level measurements, while high ...
Shaojia Ge, Oleg Antropov, Tuomas Häme, Ronald E. McRoberts, Jukka Miettinen   +4 more
doaj   +1 more source

A Deep Learning Framework for the Estimation of Forest Height From Bistatic TanDEM-X Data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Up-to-date canopy height model (CHM) estimates are of key importance for forest resource monitoring and disturbance analysis. In this article, we present a study on the potential of deep learning (DL) for the regression of forest height from TanDEM-X ...
Daniel Carcereri, Paola Rizzoli, Dino Ienco, Lorenzo Bruzzone   +3 more
doaj   +1 more source

To the question on accuracy of forest heights’ measurements by the TanDEM-X radar interferometry data [PDF]

Сибирский лесной журнал, 2016
The paper presents the validation results of the InSAR method for determining the forest canopy height, based on TanDEM-X and ALOS PALSAR data. The research conducted on the territory of the Baikal-Kudara forest area of the Republic of Buryatia (52°10'N,
T. N. Chimitdorzhiev, M. E. Bykov, Yu. I. Kantemirov, I. I. Kirbizhekova, B. B. Labarov, A. K. Baltukhaev   +5 more
doaj   +1 more source

Dielectric Fluctuation and Random Motion over Ground Model (DF-RMoG): An Unsupervised Three-Stage Method of Forest Height Estimation Considering Dielectric Property Changes

Remote Sensing, 2023
Polarimetric Synthetic Aperture Radar Interferometry (Pol-InSAR) based forest height estimation for ecosystem monitoring and management has been developing rapidly in recent years. Spaceborne Pol-InSAR systems with long temporal baselines of several days
Chang Liu, Qi Zhang, Linlin Ge, Samad M. E. Sepasgozar, Ziheng Sheng   +4 more
doaj   +1 more source