Results 41 to 50 of about 134 (95)

Forest Height Estimation Based on P-Band Pol-InSAR Modeling and Multi-Baseline Inversion

Remote Sensing, 2020
The Gaussian vertical backscatter (GVB) model has a pivotal role in describing the forest vertical structure more accurately, which is reflected by P-band polarimetric interferometric synthetic aperture radar (Pol-InSAR) with strong penetrability.
Xiaofan Sun, Bingnan Wang, Maosheng Xiang, Liangjiang Zhou, Shuai Jiang   +4 more
doaj   +1 more source

Adaptive neighborhood aggregation algorithm for PolInSAR forest height estimation

Science of Remote Sensing
Forest height is a core parameter for characterizing vertical forest structure, estimating biomass, and studying global carbon cycles. Polarized interferometric synthetic aperture radar (PolInSAR) technology possesses unique detection capabilities for ...
Wei Zhao, Bing Zhang, Zhongchao Hu, Jichao Zhang, Weidong Song   +4 more
doaj   +1 more source

Estimation of Pine Forest Height and Underlying DEM Using Multi-Baseline P-Band PolInSAR Data

Remote Sensing, 2016
On the basis of the Gaussian vertical backscatter (GVB) model, this paper proposes a new method for extracting pine forest height and forest underlying digital elevation model (FUDEM) from multi-baseline (MB) P-band polarimetric-interferometric radar ...
Haiqiang Fu, Changcheng Wang, Jianjun Zhu, Qinghua Xie, Bing Zhang   +4 more
doaj   +1 more source

The BIOMASS Level 2 Prototype Processor: Design and Experimental Results of Above-Ground Biomass Estimation

Remote Sensing, 2020
BIOMASS is ESA’s seventh Earth Explorer mission, scheduled for launch in 2022. The satellite will be the first P-band SAR sensor in space and will be operated in fully polarimetric interferometric and tomographic modes.
Francesco Banda, Davide Giudici, Thuy Le Toan, Mauro Mariotti d’Alessandro, Kostas Papathanassiou, Shaun Quegan, Guido Riembauer, Klaus Scipal, Maciej Soja, Stefano Tebaldini, Lars Ulander, Ludovic Villard   +11 more
doaj   +1 more source

A Multi-Baseline Forest Height Estimation Method Combining Analytic and Geometric Expression of the RVoG Model

Forests
As an important parameter of forest biomass, forest height is of great significance for the calculation of forest carbon stock and the study of the carbon cycle in large-scale regions. The main idea of the current forest height inversion methods using multi-baseline P-band polarimetric interferometric synthetic aperture radar (PolInSAR) data is to ...
Bing Zhang, Hongbo Zhu, Weidong Song, Jianjun Zhu, Jiguang Dai, Jichao Zhang, Chengjin Li   +6 more
openaire   +1 more source

Mapping Forest Height from TanDEM-X Interferometric Coherence Data in Northwest Territories, Canada

Canadian Journal of Remote Sensing, 2019
In this paper, we demonstrate the feasibility of using TanDEM-X (TX) interferometric coherence data for mapping forest height with 25-m pixels across a study area near Fort Simpson, Northwest Territories (NWT), Canada.
Hao Chen, André Beaudoin, David A. Hill, Shane R. Cloude, Rob S. Skakun, Maryse Marchand   +5 more
doaj   +1 more source

Temporal Decorrelation Effect in Carbon Stocks Estimation Using Polarimetric Interferometry Synthetic Aperture Radar (PolInSAR) (Case Study: Southeast Sulawesi Tropical Forest)

Forum Geografi, 2017
This paper was aimed to analyse the effect of temporal decorrelation in carbon stocks estimation. Estimation of carbon stocks plays important roles particularly to understand the global carbon cycle in the atmosphere regarding with climate change ...
Laode M Golok Jaya, Ketut Wikantika, Katmoko Ari Sambodo, Armi Susandi   +3 more
doaj   +1 more source

Estimation of Forest Height Using Spaceborne Repeat-Pass L-Band InSAR Correlation Magnitude over the US State of Maine

Remote Sensing, 2014
This paper describes a novel, simple and efficient approach to estimate forest height over a wide region utilizing spaceborne repeat-pass InSAR correlation magnitude data at L-band.
Yang Lei, Paul Siqueira
doaj   +1 more source

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