利用地球观测数据和云计算对摩洛哥2010-2020年干旱情况的评估

IF 0.3 Q4 GEOGRAPHY

International Journal of Applied Geospatial Research Pub Date : 2022-01-01 DOI:10.4018/ijagr.298260

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引用次数: 1

摘要

干旱是一个极端事件，已经袭击了包括摩洛哥在内的世界上几个国家。这项研究的目的是评估摩洛哥的干旱情况，以便为干旱的规划和管理提供信息。为此，选择了三个干旱指数：组合干旱指数（CDI）、土壤水分农业干旱指数（SMADI）和微波综合干旱指数（MIDI）。干旱监测是在2010-2020年的生长季节进行的，使用地球观测数据和云计算，绘制干旱指数并通过Pearson相关性进行相互比较。对主要干旱事件进行了跟踪，并分析了干旱特征。对谷物生产地区的七个干旱年份进行了追踪。CDI和MIDI的相关性很好，而SMADI与CDI和MIDI的相关性很差。通过将我们的结果与2015-2016年干旱事件的另一项研究进行比较，并将年降水量与长期平均值进行比较，对结果进行了验证。发布了一个由三个指数组成的地球引擎应用程序，以制作公开的干旱地图。

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Assessment of Drought using Earth Observation Data and Cloud Computing in Morocco for 2010-2020

Drought is an extreme event that has hit several countries in the world including Morocco. The aim of this research was to assess drought in Morocco with a view to providing information for planning and management of droughts. For this, three drought indices were chosen: Combined Drought Indicator (CDI), Soil Moisture Agricultural Drought Index (SMADI), and Microwave Integrated Drought Index (MIDI). Drought monitor was done during the growing seasons of 2010-2020 using Earth Observation data and cloud computing with the mapping of the drought indices and their inter-comparing via Pearson correlation. The main drought events were tracked and drought characteristics analyzed. Seven drought years were tracked for regions of cereal production. CDI and MIDI were very well correlated, whereas SMADI showed poor correlation with CDI and MIDI. Validation of results was done by comparing our results with another study for the 2015-2016 drought event and comparing yearly precipitation with the long-term average. An Earth Engine App of the three indices was published to make public drought maps.

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来源期刊

International Journal of Applied Geospatial Research GEOGRAPHY-

CiteScore

1.20

自引率

0.00%

发文量