Results 51 to 60 of about 113 (84)

Inversion of Boreal Forest Height Using the CRITIC Weighted Least Squares Three-Stage Temporal Decorrelation Iterative Algorithm

Remote Sensing
The inversion of forest height using the RVoG (Random Volume over Ground) model is susceptible to overestimation or underestimation due to three error sources, propagating inaccuracies to the estimated forest height. Furthermore, variations in the height
Ao Sui, Wenyi Fan
doaj   +1 more source

A Modified Dual-Baseline PolInSAR Method for Forest Height Estimation

Remote Sensing, 2017
This paper investigates the potentials and limitations of a simple dual-baseline PolInSAR (DBPI) method for forest height inversion. This DBPI method follows the classical three-stage inversion method’s idea used in single baseline PolInSAR (SBPI ...
Qinghua Xie, Jianjun Zhu, Changcheng Wang, Haiqiang Fu, Juan M. Lopez-Sanchez, J. David Ballester-Berman   +5 more
doaj   +1 more source

Enhancing Hyrcanian Forest Height and Aboveground Biomass Predictions: A Synergistic Use of TanDEM-X InSAR Coherence, Sentinel-1, and Sentinel-2 Data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Forest height (FH) is an important driver for aboveground biomass (AGB) that can be obtained using interferometric synthetic aperture radar (InSAR).
Ghasem Ronoud, Ali A. Darvishsefat, Maryam Poorazimy, Erkki Tomppo, Oleg Antropov, Jaan Praks   +5 more
doaj   +1 more source

Underlying Topography Estimation over Forest Using Maximum a Posteriori Inversion with Spaceborne Polarimetric SAR Interferometry

Remote Sensing
This paper presents a method for extracting the digital elevation model (DEM) of forested areas from polarimetric interferometric synthetic aperture radar (PolInSAR) data. The method models the ground phase as a Von Mises distribution, with a mean of the
Xiaoshuai Li, Xiaolei Lv, Zenghui Huang
doaj   +1 more source

Sub-Canopy Topography Estimation from TanDEM-X DEM by Fusing ALOS-2 PARSAR-2 InSAR Coherence and GEDI Data. [PDF]

Sensors (Basel), 2020
Tan P, Zhu J, Fu H, Wang C, Liu Z, Zhang C.   +5 more
europepmc   +1 more source

Forest structure dependency analysis of L-band SAR backscatter. [PDF]

PeerJ, 2020
Ji Y, Huang J, Ju Y, Guo S, Yue C.
europepmc   +1 more source

On the Effects of InSAR Temporal Decorrelation and Its Implications for Land Cover Classification: The Case of the Ocean-Reclaimed Lands of the Shanghai Megacity. [PDF]

Sensors (Basel), 2018
Ma G, Zhao Q, Wang Q, Wang Q, Liu M.
europepmc   +1 more source

Adaptive volume coherence optimization for forest height inversion in mountainous areas using innovative spaceborne L-band bistatic InSAR

GIScience & Remote Sensing
Spaceborne L-band bistatic interferometric synthetic aperture radar (InSAR) is an advanced remote sensing technology used for forest height inversion. It enables the detection of forest vertical structures and avoids the effects of temporal decorrelation.
Jie Wan, Changcheng Wang, Yang Lei, Erxue Chen, Anmin Fu, Yu Liu, Lei Zhao, Xiaotong Liu, Jie Xu, Yaxiong Fan, Qing Song   +10 more
doaj   +1 more source

An Assessment of SAOCOM L-Band PolInSAR Capabilities for Canopy Height Estimation: A Case Study Over Managed Forests in Argentina

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
This work presents the first results of canopy height mapping with L-Band SAOCOM data by means of Polarimetric SAR Interferometry (PolInSAR). For this study case, a colocated temporal series of SAOCOM fully polarimetric images covering the year 2021 was ...
Santiago Seppi, Carlos Lopez-Martinez, Marisa Jacqueline Joseau   +2 more
doaj   +1 more source

A Comparison of Mangrove Canopy Height Using Multiple Independent Measurements from Land, Air, and Space. [PDF]

Remote Sens (Basel), 2016
Lagomasino D, Fatoyinbo T, Lee S, Feliciano E, Trettin C, Simard M.   +5 more
europepmc   +1 more source