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Analysis of differences in vegetation phenology cycle of abandoned farmland, using harmonic analysis of time-series vegetation indices data: the case of Gwangyang City, South Korea

机译:废弃农田植被素质周期差异分析,采用时间级植被指数的谐波分析数据:韩国光阳市的案例

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ABSTRACT Globally, countries have experienced substantial increases in farmland abandonment. Although vegetation phenology is a key factor for the classification of land use, understanding of the phenological change of abandoned farmland is lacking. Using harmonic analysis of NDVI and NDWI extracted from Landsat imagery, this study investigates the distinctive phenological characteristics of abandoned farmland, which contrasts with that of three other agricultural types (paddy, agricultural field, orchard) in the study site of Gwangyang City in Jeollanam Province, South Korea. The results suggest that abandoned farmland has higher overall greenness coverage and overall water content in vegetation than the other uses. In terms of both indices, abandoned farmlands changed with relatively less fluctuation than those of other uses, suggesting the existence of constant and unmanaged vegetation from ecological succession, which differs from crop fields that undergo cultivation procedures. The significant harmonic components differed among agricultural types and vegetation indices. In paddy, NDVI was explained with multiple, higher-order harmonic components, while in other types only first-order components met the 5% statistical significance level. With NDWI, land types were more clearly discernible, because of the different cultivation procedures involving water: wet-field method (paddy), dryland farming (orchard, agricultural field), and no cultivation (abandoned farmland). The analysis confirms that harmonic analysis could be useful in discerning abandoned farmland among areas of active agricultural use and shows that the statistical significance of harmonic terms can be employed as indicators of different agricultural types. The observed pattern of the geographic distribution of abandoned farmland has policy implications for the promotion of sustainable reuse of marginal farmland.
机译:摘要在全球范围内,农田遗弃的国家经历了大量增加。虽然植被候选是土地利用分类的关键因素,但缺乏对被遗弃的农田的挥之不足的理解。本研究研究了利用LANDVI和NDWI的谐波分析,研究了废弃农田的独特鉴效特征,这与Jeollanam省广州市学习现场的三个农业类型(稻田,农业领域,园)对比,韩国。结果表明,废弃的农田在植被中具有较高的整体绿色覆盖率和植被的整体含水量。就两种指数而言,被遗弃的农田比其他用途的波动相对较少,表明从生态继承中存在恒定和非囚来的植被,这与经过培养程序的作物领域不同。农业类型和植被指数之间的显着谐波分量不同。在稻谷中,NDVI用多次,高阶谐波分量解释,而其他类型只有一阶组件达到5%统计显着性水平。随着NDWI,土地类型更清晰,因为涉及水的种植程序不同:湿法法(稻田),旱地农业(果园,农业领域),没有种植(被遗弃的农田)。该分析证实,谐波分析对于在积极农业用途的领域的地区辨别出遗弃的农田,并表明谐波术语的统计显着性可以雇用为不同农业类型的指标。被遗弃的农田的地理分布的观察到的模式具有对促进额外农田可持续重用的政策影响。

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