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An approach based on satellite image time series mining to identify region susceptible to desertification

机译:一种基于卫星图像时间序列挖掘的识别沙漠化地区的方法

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After extensive and devastating drought in the Sahel, Africa, in the late 60's and early 70's (1968–1973) which resulted in the deaths of thousands of people and millions of animals, the desertification issue has been considered in the international agenda being ultimately relevant for the scientific community and governments in the worldwide. In 1992, the United Nations (UN), through Agenda 21 Chapter 12, defined desertification as ”land degradation in arid, semi-arid and dry sub-humid areas resulting from various factors, including climatic variations and human activities”. Desertification exacerbates socio-economic problems such as poverty and migration, which mainly affects the most vulnerable people and communities, bringing risk to global food security [1]. According to the UN, the annual economic losses are close to 4 billion dollars, with a cost for recovery of 10 billion dollars per year on a global scale.
机译:在60年代末和70年代初(1968-1973年)非洲萨赫勒地区发生大规模毁灭性干旱之后,导致成千上万的人和数以百万计的动物死亡,荒漠化问题已在国际议程中得到了最终考虑面向全球的科学界和政府。 1992年,联合国(UN)通过《 21世纪议程》第12章将荒漠化定义为“由于各种因素(包括气候变化和人类活动)导致的干旱,半干旱和亚湿润干旱地区的土地退化”。荒漠化加剧了诸如贫困和移徙等社会经济问题,这主要影响到最脆弱的人群和社区,给全球粮食安全带来风险[1]。据联合国统计,每年的经济损失接近40亿美元,全球每年的恢复成本为100亿美元。

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