Eyes in the sky on Tigray, Ethiopia - Monitoring the impact of armed conflict on cultivated highlands using satellite imagery

IF 5.7 Q1 ENVIRONMENTAL SCIENCES Science of Remote Sensing Pub Date : 2024-05-08 DOI:10.1016/j.srs.2024.100133
Liya Weldegebriel , Emnet Negash , Jan Nyssen , David B. Lobell
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Abstract

The war in Tigray, Ethiopia has triggered a massive humanitarian crisis, displacing millions. Yet, the impact on cultivated land and local food production remains poorly understood, impeding effective aid. Leveraging Sentinel-2 satellite imagery and a decision tree algorithm with Normalized Difference Vegetation Index (NDVI) time series, we developed a model to map well-cultivated cropland, defined as fields judged by field surveyors to have satisfactory to optimal crop condition in 2021–2022 field observations. Assessing satellite estimated well-cultivated land in highland croplands (> 1200 m a.s.l), we found a net loss of 543 sq. km (95% CI: 81 sq. km) well-cultivated land in highland croplands equivalent to ≈ 8% of the average total surveyed cropland estimate from Central Statistical Agency between 2015 and 2019 (ESS, 2023a) in potential highland cropland. The net loss was positively associated with the density of recorded conflict incidents and sub-regions with high numbers of internally displaced persons (IDPs), consistent with a causal effect of the conflict on cultivated land.

Employing a two-way fixed effect model causal analysis with rainfall covariates, we quantified the impact of conflict incidents on cultivated land during the pre-war (2019/20) and in-war (2021) periods. Results indicated a ≈ 6.17 sq. km (SE: 2.06) additional loss per unit increase in conflict incidents during the growing season (June to October), eight times higher than total incidents occurring throughout the entire study period. We estimated the kilocalories lost due to loss of well-cultivated croplands in 2021 could have supported at least 90% of all recorded IDPs in Tigray as of June 2021, discounting for Western Tigray. Our study showcases the utility of satellite data, coupled with local agricultural knowledge, for timely and cost-effective information crucial for aid agencies and long-term rehabilitation initiatives in smallholder farming contexts.

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天空中的提格雷--利用卫星图像监测埃塞俄比亚武装冲突对高原耕地的影响。
埃塞俄比亚提格雷地区的战争引发了大规模的人道主义危机,导致数百万人流离失所。然而,人们对耕地和当地粮食生产所受的影响仍然知之甚少,从而阻碍了有效的援助。利用哨兵-2 卫星图像和归一化差异植被指数(NDVI)时间序列决策树算法,我们开发了一个模型来绘制耕地状况良好的地图,耕地状况良好是指在 2021-2022 年的实地观测中,实地勘测人员认为作物状况令人满意或达到最佳状态的田地。通过评估卫星估算的高原耕地(> 1200 m a.s.l)中的精耕细作土地,我们发现潜在高原耕地净损失了 543 平方公里(95% CI:81 平方公里)精耕细作土地,相当于中央统计局 2015 年至 2019 年(ESS,2023a)平均总调查耕地估算值的≈8%。净损失与记录在案的冲突事件密度和境内流离失所者(IDP)人数较多的次区域呈正相关,这与冲突对耕地的因果影响是一致的。我们采用带有降雨协变量的双向固定效应模型因果分析,量化了战前(2019/20年)和战中(2021年)期间冲突事件对耕地的影响。结果表明,在生长季节(6 月至 10 月),冲突事件每增加一单位,耕地损失就会增加 ≈ 6.17 平方公里(SE:2.06),是整个研究期间发生的冲突事件总数的八倍。我们估计,截至 2021 年 6 月,如果不考虑西提格雷地区,2021 年因失去耕作良好的耕地而损失的热量至少可以支持提格雷地区所有记录在案的境内流离失所者中的 90%。我们的研究表明,卫星数据与当地农业知识相结合,可为援助机构和小农耕作环境下的长期恢复计划提供及时且具有成本效益的重要信息。
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