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Application of Landsat-derived vegetation trends over South Africa: Potential for monitoring land degradation and restoration

机译:南非土地植被趋势的应用:监测土地退化与恢复的潜力

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摘要

Monitoring vegetation change is important because the nature, extent and rate of change in key measures, such as plant biomass, cover and species composition, provides critical insight into broader environmental and land use drivers and leads to the development of appropriate policy. We used Landsat data between 1984 and 2018 to produce a map of Enhanced Vegetation Index (EVI) change over South Africa at 30 m resolution and an interactive web application to make the analysis both globally applicable and locally meaningful. We found an increase in EVI of 0.37 +/- 0.59% yr(-1) (mean +/- standard deviation), confirming global vegetation greening trends observed with lower-resolution satellites. Mesic, productive biomes including the Albany Thicket and Savanna, exhibited the largest greening trends while browning trends were dominant in more arid biomes, such as the Succulent Karoo and Desert. Although overall EVI trends correspond to vegetation index trends derived from the Advanced Very-High-Resolution Radiometer (8 km resolution), the relative scarcity of Landsat data availability during the 1980 s is a potential source of error. Using repeat very-high-resolution satellite (ca. 3 m resolution) imagery and ground-based photography as reference, we found good correspondence with EVI trends, revealing patterns of degradation (e.g. woody plant encroachment, desertification), and restoration (e.g. increased rangeland productivity, alien clearing) over selected landscapes. The utility of the EVI trend layer to government and industry for monitoring ecosystem changes will be enhanced by the ability to distinguish climatic from anthropogenic drivers of change. This may be partially achieved though interactive exploration of the EVI trends using the application found here: http://evitrend.zsv.co.za
机译:监测植被变动很重要,因为植物生物质,覆盖和物种组成等关键措施的性质,程度和变化率,为更广泛的环境和土地利用司机提供了关键洞察力,并导致发展适当的政策。我们在1984年至2018年间使用Landsat数据,以30米的分辨率和互动Web应用程序在南非的增强植被指数(EVI)的地图和互动Web应用程序,以便分析全球适用和本地有意义。我们发现EVI的增加0.37 +/- 0.59%YR(-1)(平均+/-标准偏差),确认使用较低分辨率卫星观察到的全球植被绿化趋势。 Mesic,包括奥尔巴尼丛林和大草原的生产生物群体,展出了最大的绿化趋势,而布朗宁趋势在更多干旱的生物群体中占主导地位,例如多汁的卡罗和沙漠。虽然总体EVI趋势与植被指数趋势相对应源于先进的高分辨率辐射计(8公里分辨率),但在1980年S期间Landsat数据可用性的相对稀缺是潜在的误差源。使用重复非常高分辨率卫星(CA.3米分辨率)图像和地面摄影作为参考,我们发现与EVI趋势的良好通信,揭示了降解模式(例如木质植物侵占,荒漠化)和恢复(例如增加牧场生产率,外星清除)在选定的景观中。通过区分变革的人为驱动程序的能力,将提高EVI趋势层对政府和监测生态系统变化的政府和行业的效用。尽管使用此处发现的应用程序的应用程序互动探索,但可以部分实现这一点:http://evitrend.zsv.co.za

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