从空间测量的干旱和洪水对新西兰农业生产力的影响

É. Blanc, Ilan Noy
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引用次数: 0

摘要

我们利用卫星数据估计了极端降水对新西兰农业用地生产力的影响。这种灾后损害评估的目的是在实地损害评估成本过高或难以进行时,对灾害损害进行量化。它还可以作为当时没有进行数据收集的灾难损失数据库的追溯性数据收集工具。我们利用卫星衍生的陆地植被生长季节观测数据(增强植被指数(EVI)),利用地块层面的数据识别出五种土地利用类型(一年生和多年生作物,以及三种牧草),并利用降水记录识别出过干(干旱)和过湿(洪水)事件。利用回归分析,我们检验了这些极端降水是否对农业生产力有可观察到的影响。我们发现农业生产力的显著下降与干旱和洪水都有关系。这些事件的平均影响通常小于1%,但不同年份和不同区域的影响差异很大,一些地块的EVI下降更为显著。我们还确定了与所分析的土地利用类型不同的干旱和洪水脆弱性相关的几种影响模式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Impacts of droughts and floods on agricultural productivity in New Zealand as measured from space
We estimate the impact of precipitation extremes on the productivity of agricultural land parcels in New Zealand using satellite data. This type of post-disaster damage assessment aims to allow for the quantification of disaster damage when an on-the-ground assessment of damage is too costly or too difficult to conduct. It can also serve as a retroactive data collection tool for disaster loss databases where data collection did not happen at the time. We use satellite-derived observations of terrestrial vegetation (the enhanced vegetation index (EVI)) over the growing season, with data at the land parcel level identifying five land use types (annual and perennial crops, and three types of pasture), and with precipitation records, which we use to identify both excessively dry (drought) and excessively wet (flood) episodes. Using regression analyses, we examine whether these precipitation extremes had an observable impact on agricultural productivity. We find statistically significant declines in agricultural productivity that are associated with both droughts and floods. The average impact of these events is usually less than 1%, but the impacts are quite heterogeneous across years and across regions, with some parcels experiencing a much more significant decline in the EVI. We also identify several impact patterns related to the varying drought and flood vulnerability of the analysed land use types.
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