Results 1 to 10 of about 91 (73)
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.
Jianjun Zhu +2 more
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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
Teng Long, Zegang Ding
exaly +3 more sources
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 ...
Wenyi Fan, Fan Wenyi
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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 ...
Li Yinwei, Xiaofan Sun, Bingnan Wang
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TREE CANOPY HEIGHT ESTIMATION USING MULTI BASELINE RVOG INVERSION TECHNIQUE [PDF]
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 2018 Polarimetric Interferometric Synthetic Aperture Radar (PolInSAR) technique utilizes the characteristics of both SAR polarimetry and Interferometry. PolInSAR technique is proved to be very useful for vegetation parameters retrieval. Estimation of the tree
Shashi Kumar, Arun Babu
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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.
Jianmin Zhou, Shuo Gao, Ping Zhang
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International Journal of Applied Earth Observation 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.
Yongjie Ji, Han Zhao
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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
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