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A geo-spatial approach to assess Trees outside Forest (ToF) in Haryana State, India
Land Degradation & Development ( IF 4.7 ) Pub Date : 2021-04-02 , DOI: 10.1002/ldr.3960
Mothi Kumar 1 , Ritesh Kumar 1 , Promila Bishnoi 2 , Vikas Sihag 1 , Ravikant Bishnoi 1 , Seema Rani 1 , Partibha Sindhu 1 , Sarika Budhwar 1 , Parmod Kumar 1 , Shashikant Sharma 1 , Poonam Sharma 1 , Ritu Sharma 1 , Venketeswar Pandey 1 , Meenakshi Dahiya 1 , Virender Singh Arya 1 , Tajinder Pal Singh 3 , Vinod Kumar 3
Affiliation  

Mapping and monitoring the Trees outside Forest (ToF) is gaining significance in the scientific community as they provide critical ecosystem services such as protecting soil and water resources, wildlife habitat, and aesthetics including food, fuel, and fibre. Quantifying ToF can also provide useful information for emission estimation relating to the agriculture, forests, and other land use (AFOLU) category of the Intergovernmental Panel for Climate Change (IPCC). Despite the importance of quantifying ToF, very few studies have attempted to quantify them in India's natural resource inventory programs. In this study, we focused on Haryana State, India, to inventory ToF using very high-resolution (VHR) Indian Remote Sensing (IRS) satellite data. Haryana's landscape is interspersed with croplands and ToF, thus providing a challenging environment to test VHR satellite data's ability to quantify the diversified landscape structure. We specifically used CARTOSAT-1 panchromatic (2.5 m) and multispectral LISS-IV (5.8 m) datasets to quantify the vegetation and build a much-needed database for ToF. We used a novel classification scheme based on the geometry, that is, point, line, or polygon formations, to quantify ToF at a scale of 1:10,000. The obtained results suggest ToF with linear and block formations extended to 128.83 and 20.51 km2, respectively, accounting for ~3.38% of the Total Georgraphical Area of Haryana State while point formations established 2,774,531 in numbers. This study highlights the usefulness of VHR satellite data and fused imagery to quantify ToF in highly diverse landscape of Haryana. The results will help address vital ecosystem services from ToF, including greenhouse gas emissions quantification from the Agriculture, Forests and Other LandUse (AFOLU) category.

中文翻译:

一种评估印度哈里亚纳邦森林外树木 (ToF) 的地理空间方法

测绘和监测森林外树木 (ToF) 在科学界越来越重要,因为它们提供关键的生态系统服务,例如保护土壤和水资源、野生动物栖息地以及包括食物、燃料和纤维在内的美学。量化 ToF 还可以为与政府间气候变化专门委员会 (IPCC) 的农业、森林和其他土地利用 (AFOLU) 类别相关的排放估算提供有用信息。尽管量化 ToF 很重要,但很少有研究试图在印度的自然资源清单计划中对其进行量化。在这项研究中,我们专注于印度哈里亚纳邦,使用超高分辨率 (VHR) 印度遥感 (IRS) 卫星数据清点 ToF。哈里亚纳邦的景观穿插着农田和 ToF,从而提供了一个具有挑战性的环境来测试 VHR 卫星数据量化多样化景观结构的能力。我们专门使用 CARTOSAT-1 全色 (2.5 m) 和多光谱 LISS-IV (5.8 m) 数据集来量化植被并为 ToF 构建急需的数据库。我们使用了一种基于几何形状的新分类方案,即点、线或多边形结构,以 1:10,000 的比例量化 ToF。获得的结果表明具有线性和块状地层的 ToF 扩展到 128.83 和 20.51 公里 即点、线或多边形结构,以 1:10,000 的比例量化 ToF。获得的结果表明具有线性和块状地层的 ToF 扩展到 128.83 和 20.51 公里 即点、线或多边形结构,以 1:10,000 的比例量化 ToF。获得的结果表明具有线性和块状地层的 ToF 扩展到 128.83 和 20.51 公里2分别占哈里亚纳邦总地理面积的约 3.38%,而点阵地数量为 2,774,531。这项研究强调了 VHR 卫星数据和融合图像在哈里亚纳邦高度多样化的景观中量化 ToF 的有用性。结果将有助于解决 ToF 的重要生态系统服务问题,包括农业、森林和其他土地利用 (AFOLU) 类别的温室气体排放量化。
更新日期:2021-04-02
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