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Potential of texture measurements of two-date dual polarization PALSAR data for the improvement of forest biomass estimation

机译:两阶段双极化PALSAR数据的质构测量对改善森林生物量估计的潜力

摘要

The recently available space-borne SAR sensor, PALSAR, is more promising than its predecessor JERS-1 for biomass estimation because of its long wavelength (L-band), and its ability to provide data with different polarizations, varying incidence angles and higher spatial resolutions. This research investigates the potential of two-date dual polarization (HH and HV) SAR imagery for biomass estimation using different kinds of texture processing and different combinations of single and dual polarization ratios. The investigation is conducted in a mountainous, sub-tropical study area where biomass levels are far beyond the previously recognized saturation levels for L-band SAR images, and forest is a mixture of native and non-native species and plantations.
机译:最近可用的星载SAR传感器PALSAR由于其长波长(L波段)以及能够提供具有不同极化,入射角不同和空间更大的数据的能力,因此比其前身JERS-1在生物量估计方面更有前途决议。这项研究调查了使用不同类型的纹理处理以及单极化率和双极化率的不同组合来估计两日期双极化(HH和HV)SAR图像在生物量估计中的潜力。这项研究是在山区的亚热带研究区进行的,该地区的生物量水平远远超出了L波段SAR图像先前公认的饱和度水平,而森林则是本地和非本地物种与人工林的混合物。

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