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NDVI combined classification for the McBride and Nulla basalt provinces

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Research Data Australia2024-12-29 收录
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Normalised Difference Vegetation Index (NDVI) was used to map vegetation with potential access to groundwater in the basalt provinces in the Upper Burdekin. NDVI is widely used to infer vegetation density and/or vigour. Several studies (e.g. Barron et al., 2014; Gou et al., 2015; Lv et al., 2013) have used NDVI to identify groundwater-dependent vegetation (GDV) based on the hypothesis that during dry seasons or extended dry periods, soil moisture progressively becomes depleted. Under these conditions, GDV are expected to exhibit minimal or no reduction in condition relative to vegetation subject to the same conditions that do not have access to groundwater.References: Barron OV, Emelyanova I, Van Niel TG, Pollock D and Hodgson G (2014) Mapping groundwater-dependent ecosystems using remote sensing measures of vegetation and moisture dynamics. Hydrological processes 28(2), 372-385. Doi: 10.1002/hyp.9609; Gou S, Gonzales S and Miller GR (2015) Mapping Potential Groundwater-Dependent Ecosystems for Sustainable Management. Ground Water 53(1), 99-110. Doi: 10.1111/gwat.12169; Lv J, Wang X-S, Zhou Y, Qian K, Wan L, Eamus D and Tao Z (2013) Groundwater-dependent distribution of vegetation in Hailiutu River catchment, a semi-arid region in China. Ecohydrology 6(1), 142-149. Doi: 10.1002/eco.1254.

标准化差值植被指数(Normalised Difference Vegetation Index, NDVI)被用于对上伯德金玄武岩分布区内可能获取地下水的植被进行空间制图。NDVI被广泛用于推断植被密度和/或生长活力。已有多项研究(如Barron等,2014;Gou等,2015;Lv等,2013)基于以下假说利用NDVI识别依赖地下水的植被(groundwater-dependent vegetation, GDV):在旱季或长期干旱时段,土壤水分会逐步耗竭。在此类条件下,依赖地下水的植被的生长状况相较于未获取地下水的同类植被,预计几乎不会或完全不会出现衰退。 参考文献: Barron OV、Emelyanova I、Van Niel TG、Pollock D与Hodgson G (2014) 利用植被与水分动态遥感指标绘制依赖地下水的生态系统分布图. 《水文过程》, 28(2), 372-385. DOI: 10.1002/hyp.9609; Gou S、Gonzales S与Miller GR (2015) 面向可持续管理的潜在依赖地下水生态系统制图. 《地下水》, 53(1), 99-110. DOI: 10.1111/gwat.12169; Lv J、Wang X-S、Zhou Y、Qian K、Wan L、Eamus D与Tao Z (2013) 中国半干旱地区海流图河流流域内依赖地下水的植被分布. 《生态水文学》, 6(1), 142-149. DOI: 10.1002/eco.1254.
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