Results 1 to 10 of about 113 (84)
Remote Sensing, 2022 The random volume over ground (RVoG) model has been widely used in the field of vegetation height retrieval based on polarimetric interferometric synthetic aperture radar (PolInSAR) data.
Nan Li +7 more
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Remote Sensing, 2023 This paper considers extinction coefficient changes with height caused by the inhomogeneous distribution of scatterers in heterogeneous forests and uses the InSAR phase center height histogram and Gaussian function to fit the normalized extinction ...
Rula Sa, Yonghui Nei, Wenyi Fan
doaj +4 more sources
Retrieval of Boreal Forest Heights Using an Improved Random Volume over Ground (RVoG) Model Based on Repeat-Pass Spaceborne Polarimetric SAR Interferometry: The Case Study of Saihanba, China [PDF]
Remote Sensing, 2021 Spaceborne polarimetric synthetic aperture radar interferometry (PolInSAR) has the potential to deal with large-scale forest height inversion. However, the inversion is influenced by strong temporal decorrelation interference resulting from a large ...
Yu Mao +6 more
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A Novel Method for Snow Depth Retrieval Using Improved Dense Medium RVoG Model
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingSnow depth is a fundamental parameter in hydrological and climate models, which is crucial for studying climate change, hydrological cycles, and ecosystem changes.
Haiwei Qiao +10 more
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Forest Canopy Height Estimation Using Polarimetric Interferometric Synthetic Aperture Radar (PolInSAR) Technology Based on Full-Polarized ALOS/PALSAR Data [PDF]
Remote Sensing, 2021 Forest canopy height is a basic metric characterizing forest growth and carbon sink capacity. Based on full-polarized Advanced Land Observing Satellite/Phased Array type L-band Synthetic Aperture Radar (ALOS/PALSAR) data, this study used Polarimetric ...
Wei Chen +4 more
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International Journal of Applied Earth Observations and GeoinformationForest height, as a measure of the quantity and quality of forest resources, plays a significant role in the study of the ecological functions performed by forests.
Han Zhao +3 more
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The Impact of Forest Density on Forest Height Inversion Modeling from Polarimetric InSAR Data [PDF]
Remote Sensing, 2016 Forest height is of great significance in analyzing the carbon cycle on a global or a local scale and in reconstructing the accurate forest underlying terrain.
Changcheng Wang +4 more
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Invariant Contrast Parameters of PolInSAR Homogenous RVoG Model [PDF]
IEEE Geoscience and Remote Sensing Letters, 2014 It has been shown that the Cramer-Rao bound (CRB) can be helpful to characterize vegetation and ground height estimations based on the homogenous random volume over ground (RVoG) model and polarimetric interferometric SAR techniques. However, this model is a function of 20 unknown parameters, which makes the performance analysis a tedious task. We show
Aurélien Arnaubec +2 more
exaly +3 more sources
A Modified Three-Stage Inversion Algorithm Based on R-RVoG Model for Pol-InSAR Data
Remote Sensing, 2016 In this paper, a modified two-layer scattering model is applied to a three-stage algorithm for high-precision retrieval of forest parameters from Polarimetric Synthetic Aperture Radar Interferometry (Pol-InSAR) data. Traditional Random-Volume-over-Ground
Qi Zhang +4 more
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Remote Sensing, 2022 The interferometric synthetic aperture radar (InSAR) technique based on time–frequency (TF) analysis has great potential for mapping the forest canopy height model (CHM) at regional and global scales, as it benefits from the additional InSAR observations
Lei Wang +4 more
doaj +2 more sources