Evaluating war-induced damage to agricultural land in the Gaza Strip since October 2023 using PlanetScope and SkySat imagery

IF 5.2 Q1 ENVIRONMENTAL SCIENCES Science of Remote Sensing Pub Date : 2025-06-01 Epub Date: 2025-02-01 DOI:10.1016/j.srs.2025.100199
He Yin , Lina Eklund , Dimah Habash , Mazin B. Qumsiyeh , Jamon Van Den Hoek
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Abstract

The ongoing 2023 Israel-Hamas War has severe and far-reaching consequences for the people, economy, food security, and environment. The immediate impacts of damage and destruction to cities and farms are apparent in widespread reporting and first-hand accounts from within the Gaza Strip. However, there is a lack of comprehensive assessment of the war's impacts on key Gazan agricultural land that are vital for immediate humanitarian concerns during the ongoing war and for long-term recovery. In the Gaza Strip, agriculture is arguably one of the most important land use systems. However, remote detection of damage to Gazan agriculture is challenged by the diverse agronomic landscapes and small farm sizes. This study uses multi-resolution satellite imagery to monitor damage to tree crops and greenhouses, the most important agricultural land in the Gaza Strip. Our methodology involved several key steps: First, we generated a pre-war cropland map, distinguishing between tree crops (e.g., olives) and greenhouses, using a random forest (RF) model and the Segment Anything Model (SAM) on nominally 3-m PlanetScope and 50-cm Planet SkySat imagery, obtained from 2022 to 2023. Second, we assessed damage to tree crop fields due to the war, employing a harmonic model-based time series analysis using PlanetScope imagery. Third, we assessed the damage to greenhouses by classifying PlanetScope imagery using a random forest model. We performed accuracy assessments on a generated tree crop fields damage map using 1,200 randomly sampled 3 × 3-m areas, and we generated error-adjusted area estimates with a 95% confidence interval. To validate the generated greenhouse damage map, we used a random sampling-based analysis. We found that 64–70% of tree crop fields and 58% of greenhouses had been damaged by 27 September 2024, after almost one year of war in the Gaza Strip. Agricultural land in Gaza City and North Gaza were the most heavily damaged with 90% and 73% of tree crop fields damaged in each governorate, respectively. By the end of 2023, all greenhouses in North Gaza and Gaza City had been damaged. Our damage estimate overall agrees with that from UNOSAT but provides more detailed and accurate information, such as the timing of the damage as well as fine-scale changes. Our results attest to the severe impacts of the Israel-Hamas War on Gaza's agricultural sector with direct relevance for food security and economic recovery needs. Due to the rapid progression of the war, we have made the latest damage maps and area estimates available on GitHub (https://github.com/hyinhe/Gaza).
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利用PlanetScope和SkySat图像评估2023年10月以来加沙地带战争对农业用地造成的损害
正在进行的2023年以色列-哈马斯战争对人民、经济、粮食安全和环境产生了严重而深远的影响。从加沙地带的广泛报道和第一手资料来看,城市和农场的破坏和破坏的直接影响是显而易见的。然而,缺乏对战争对加沙关键农业用地影响的全面评估,而这些土地对持续战争期间的直接人道主义关切和长期恢复至关重要。在加沙地带,农业可以说是最重要的土地利用系统之一。然而,由于农业景观多样化和农场规模小,对加沙农业损害的远程检测面临挑战。这项研究使用多分辨率卫星图像来监测对加沙地带最重要的农业用地树木作物和温室的破坏。我们的方法涉及几个关键步骤:首先,我们在2022年至2023年获得的3米PlanetScope和50厘米Planet SkySat图像上使用随机森林(RF)模型和分段任意模型(SAM)生成战前农田地图,区分树木作物(例如橄榄)和温室。其次,我们利用PlanetScope图像,采用基于调和模型的时间序列分析,评估了战争对树木作物田的损害。第三,我们通过使用随机森林模型对PlanetScope图像进行分类,评估了对温室的损害。我们使用1200个随机采样的3 × 3-m区域对生成的树木作物田损害图进行了准确性评估,并生成了误差调整后的面积估计值,置信区间为95%。为了验证生成的温室损害图,我们使用了基于随机抽样的分析。我们发现,在加沙地带近一年的战争之后,到2024年9月27日,64-70%的林木农田和58%的温室遭到破坏。加沙城和加沙北部的农业用地受损最严重,两省分别有90%和73%的林木农田受损。到2023年底,加沙北部和加沙城的所有温室都遭到破坏。我们的损害估计总体上与联合国卫星组织的估计一致,但提供了更详细和准确的信息,例如损害的时间以及细微的变化。我们的研究结果证明了以色列-哈马斯战争对加沙农业部门的严重影响,与粮食安全和经济复苏需求直接相关。由于战争的快速发展,我们已经在GitHub (https://github.com/hyinhe/Gaza)上提供了最新的损坏地图和区域估计。
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