首页> 外文期刊>Journal of Earth System Science >Above-ground tree outside forest (TOF) phytomass and carbon estimation in the semi-arid region of southern Haryana: A synthesis approach of remote sensing and field data
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Above-ground tree outside forest (TOF) phytomass and carbon estimation in the semi-arid region of southern Haryana: A synthesis approach of remote sensing and field data

机译:哈里亚纳邦南部半干旱地区的地上树木(TOF)植物气孔和碳估测:遥感和野外数据的综合方法

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摘要

Trees outside forest (TOF) play an important role in global carbon cycling, since they are large pools of carbon as well as potential carbon sinks and sources to the atmosphere. In view of the importance of biomass estimates in the global carbon (C) cycle, the present study demonstrates the potential of the standwise tree outside forest inventory data and finer spatial resolution of IRS-P6 LISS-IV satellite data to classify TOF, to estimate above-ground TOF phytomass and the carbon content of TOF in a semi-arid region of the southern Haryana, India. The study reports that above-ground TOF phytomass varied from 1.26 tons/ha in the scattered trees in the rural/urban area to 91.5 tons/ha in the dense linear TOF along the canal. The total above-ground TOF phytomass and carbon content was calculated as 367.04 and 174.34 tons/ha, respectively in the study area. The study results conclude that the classification of TOF and estimation of phytomass and carbon content in TOF can be successfully achieved through the combined approach of Remote Sensing and GIS based spatial technique with the supplement of field data. The present approach will help to find out the potential carbon sequestration zone in the semi-arid region of southern Haryana, India.
机译:森林外树木(TOF)在全球碳循环中起着重要作用,因为它们是大量的碳库以及潜在的碳汇和大气来源。考虑到生物量估算在全球碳(C)循环中的重要性,本研究证明了森林清单数据之外的立式树的潜力以及IRS-P6 LISS-IV卫星数据更精细的空间分辨率对TOF进行分类的可能性印度哈里亚纳邦南部半干旱地区的地上TOF phytomass和TOF的碳含量。该研究报告说,地上TOF植物气溶胶在农村/城市地区的零星树木中为1.26吨/公顷,在沿运河的密集线性TOF中为91.5吨/公顷。在研究区域中,地上总TOF phytomass和碳含量分别计算为367.04和174.34吨/公顷。研究结果表明,将遥感与基于GIS的空间技术相结合,并结合现场数据,可以成功实现TOF的分类以及植物中TOM的植物气和碳含量的估算。目前的方法将有助于找出印度哈里亚纳邦南部半干旱地区的潜在碳固存区。

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