Results 11 to 20 of about 113 (84)
Forests, 2023 Accurate estimation of forest height over a large area is beneficial to reduce the uncertainty of forest carbon sink estimation, which is of great significance to the terrestrial carbon cycle, global climate change, forest resource management, and forest-related scientific research.
Yongjie Ji, , Han Zhao
exaly +2 more sources
Remote Sensing, 2019 This paper investigates the potential of the time-frequency optimization on the basis of the sublook decomposition for forest height estimation. The optimization is deemed to be capable of extracting a relatively accurate volume contribution when P-band ...
Xiaofan Sun +5 more
doaj +3 more sources
Precision of Vegetation Height Estimation Using the Dual-Baseline PolInSAR System and RVoG Model With Temporal Decorrelation [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2018 Estimating vegetation height from polarimetric interferometric synthetic aperture radar (PolInSAR) data using the Random Volume over Ground model has motivated several studies. Most of these propose estimators and apply them to real data to demonstrate their potential.
Hélène Sportouche +2 more
exaly +2 more sources
ForestsAs 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 ...
Jianjun Zhu +2 more
exaly +2 more sources
Journal of Electronic Science and TechnologyWe estimate tree heights using polarimetric interferometric synthetic aperture radar (PolInSAR) data constructed by the dual-polarization (dual-pol) SAR data and random volume over the ground (RVoG) model.
Yin Zhang, Ding-Feng Duan
doaj +2 more sources
Remote Sensing, 2022 The mapping of tropical rainforest forest structure parameters plays an important role in biodiversity and carbon stock estimation. The current mechanism models based on PolInSAR for forest height inversion (e.g., the RVoG model) are physical process ...
Hongbin Luo +4 more
doaj +1 more source
Remote Sensing, 2022 PolInSAR is an active remote sensing technique that is widely used for forest canopy height estimation, with the random volume over ground (RVoG) model being the most classic and effective forest canopy height inversion approach.
Hongbin Luo +4 more
doaj +1 more source
Methods in Ecology and Evolution, Volume 14, Issue 7, Page 1639-1656, July 2023., 2023 Abstract Vegetation canopy height is a relevant proxy for aboveground biomass, carbon stock, and biodiversity. Wall‐to‐wall information of canopy height with high spatial resolution and accuracy is not yet available on large scales. For the globally consistent TanDEM‐X data, simplifications are necessary to estimate canopy height with semi‐empirical ...
Michael Schlund +4 more
wiley +1 more source
Drones, 2023 Mapping forest canopy height at large regional scales is of great importance for the global carbon cycle. Polarized interferometric synthetic aperture radar is an efficient and irreplaceable remote sensing tool.
Hongbin Luo +4 more
doaj +1 more source
IET Radar, Sonar &Navigation, Volume 16, Issue 12, Page 1924-1935, December 2022., 2022 Abstract In this paper, the terrain effect on parameter inversion performance of polarimetric synthetic aperture radar (PolSAR) and polarimetric SAR interferometry (PolInSAR) are analysed first. Based on the analysis of the terrain effect on single pixel processing, the terrain effect between adjacent pixels is addressed for both PolSAR and PolInSAR ...
Suo Zhiyong +3 more
wiley +1 more source