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首页> 外文期刊>Physics and chemistry of the earth >Tree diversity assessment and above ground forests biomass estimation using SAR remote sensing: A case study of higher altitude vegetation of North-East Himalayas, India
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Tree diversity assessment and above ground forests biomass estimation using SAR remote sensing: A case study of higher altitude vegetation of North-East Himalayas, India

机译:采用SAR遥感树分集评估及地面森林生物量估计:印度东北喜马拉雅山高度植被的案例研究

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Forest biomass is one of the significant components for assessing the productivity and sustainability of the forest's ecosystem. In the present study, the mapping and estimation of above ground biomass (AGB) was performed using field observations employing allometric equations and C band Sentinel 1A and L band Advanced Land Observation System (ALOS) Phased Array L-band Synthetic Aperture Radar (PALSAR) remote sensing satellite images for the parts of north eastern Himalayan forests, Arunachal Pradesh. Total 57 transects of 500 m x 10 m size was laid in West Kameng and Tawang districts (altitude range: 1047-4161 m) of Arunachal Pradesh, in which a total of 12203 individuals of 67 tree species (Diameter at Breast Height (DBH) range: 3.18-235.45 cm) was recorded. The study exhibited higher tree density (428 individuals' ha(-1)) and basal cover (7658.63 m(2)ha(-1)) in the studied forests. The highest above ground biomass was contributed by Castanopsis indica (103.82 t ha(-1)) followed by Pinus roxburghii (46.24 t ha(-1)) and Quercus semicarpifolia (23.14 t ha(-1)). Further, AGB was estimated using the Horizontal-Horizontal (HH), Horizontal-Vertical (HV) polarizations acquired by the ALOS PALSAR 50m mosaic (2008) dataset and Vertical-Vertical (VV), Vertical-Horizontal (VH) polarizations acquired by the Sentinel 1A dataset. The relationship between field based AGB and radar backscatter for selected sample plots was established using pair wise correlation. While comparing the two satellite-based SAR images, it is observed that high correlation between radar backscatter and field based AGB was observed in ALOS PALSAR as compared to Sentinel 1A SAR. This is due to higher sensitive to backscatter values and higher penetration level of L band ALOS PALSAR as compared to C band Sentinel 1A SAR. The correlation study indicates high correlation of HV polarizations in ALOS PALSAR (HV polarization R-2= 0.63; HH polarization R-2= 0.58) as compared to Sentinel 1A (VV polarization R-2=
机译:森林生物量是评估森林生态系统的生产率和可持续性的重要组成部分之一。在本研究中,使用采用各种方程和C波段哨路1A和L频段高级土地观测系统(ALOS)相控阵L带合成孔径雷达(PALSAR)的现场观测进行地图和估计地面生物量(AGB)的映射和估计遥感卫星图像为东北喜马拉雅森林,阿鲁纳恰尔邦林。西部Kameng和Tawang区(高度范围:1047-4161米)的Arunachal Pradesh总计57个横断面铺设了500 mx 10米的横断面,其中共有12203种树种(直径在胸高(DBH)范围内:记录3.18-235.45厘米。该研究表现出较高的树密度(428个个体的HA(-1))和基础覆盖(7658.63m(2)ha(-1))在学习的森林中。以上最高的地面生物质由Castanopsis inga(103.82 t ha(-1))贡献,然后是Pinus roxburghii(46.24 t ha(-1))和栎(-14℃)(23.14 t ha(-1))。此外,使用由Alos Palsar 50M马赛克(2008)数据集和垂直垂直(VV)的横向水平(HH),水平垂直(HH)偏振,垂直 - 水平(VV)偏振,由垂直 - 水平(VV)垂直(VH)偏振,估计AGB。 sentinel 1a数据集。使用成对相关性建立了基于AGB与所选样品曲线的雷达反向散射之间的关系。在比较两个基于卫星的SAR图像的同时,观察到,与Sentinel 1a Sar相比,在Alos Palsar中观察到雷达背散射器和场基AGB之间的高相关。与C频带哨路1A SAR相比,这是由于与L频段Alos Palsar的较高敏感程度更高。相关性研究表明,与Sentinel 1a相比,HV偏振中的HV偏振中HV偏振(HV偏振R-2 = 0.58)的高相关性(VV偏振R-2 =

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