Klein Igor, Oppelt Natascha, Kuenzer Claudia
German Remote Sensing Data Center (DFD), German Aerospace Center (DLR), 82234 Wessling, Germany.
Department of Geography, Kiel University, 24118 Kiel, Germany.
Insects. 2021 Mar 9;12(3):233. doi: 10.3390/insects12030233.
Recently, locust outbreaks around the world have destroyed agricultural and natural vegetation and caused massive damage endangering food security. Unusual heavy rainfalls in habitats of the desert locust () and lack of monitoring due to political conflicts or inaccessibility of those habitats lead to massive desert locust outbreaks and swarms migrating over the Arabian Peninsula, East Africa, India and Pakistan. At the same time, swarms of the Moroccan locust () in some Central Asian countries and swarms of the Italian locust () in Russia and China destroyed crops despite developed and ongoing monitoring and control measurements. These recent events underline that the risk and damage caused by locust pests is as present as ever and affects 100 million of human lives despite technical progress in locust monitoring, prediction and control approaches. Remote sensing has become one of the most important data sources in locust management. Since the 1980s, remote sensing data and applications have accompanied many locust management activities and contributed to an improved and more effective control of locust outbreaks and plagues. Recently, open-access remote sensing data archives as well as progress in cloud computing provide unprecedented opportunity for remote sensing-based locust management and research. Additionally, unmanned aerial vehicle (UAV) systems bring up new prospects for a more effective and faster locust control. Nevertheless, the full capacity of available remote sensing applications and possibilities have not been exploited yet. This review paper provides a comprehensive and quantitative overview of international research articles focusing on remote sensing application for locust management and research. We reviewed 110 articles published over the last four decades, and categorized them into different aspects and main research topics to summarize achievements and gaps for further research and application development. The results reveal a strong focus on three species-the desert locust, the migratory locust (), and the Australian plague locust ()-and corresponding regions of interest. There is still a lack of international studies for other pest species such as the Italian locust, the Moroccan locust, the Central American locust (), the South American locust (), the brown locust () and the red locust (). In terms of applied sensors, most studies utilized Advanced Very-High-Resolution Radiometer (AVHRR), Satellite Pour l'Observation de la Terre VEGETATION (SPOT-VGT), Moderate-Resolution Imaging Spectroradiometer (MODIS) as well as Landsat data focusing mainly on vegetation monitoring or land cover mapping. Application of geomorphological metrics as well as radar-based soil moisture data is comparably rare despite previous acknowledgement of their importance for locust outbreaks. Despite great advance and usage of available remote sensing resources, we identify several gaps and potential for future research to further improve the understanding and capacities of the use of remote sensing in supporting locust outbreak- research and management.
最近,世界各地的蝗虫灾害摧毁了农业和自然植被,造成了巨大破坏,危及粮食安全。沙漠蝗()栖息地异常暴雨,以及由于政治冲突或栖息地难以进入而缺乏监测,导致沙漠蝗大规模暴发,蝗群越过阿拉伯半岛、东非、印度和巴基斯坦迁徙。与此同时,尽管在中亚一些国家对摩洛哥蝗()以及在俄罗斯和中国对意大利蝗()进行了发达且持续的监测和控制措施,但蝗群仍毁坏了农作物。这些近期事件突显了蝗虫灾害造成的风险和破坏一如既往地存在,尽管在蝗虫监测、预测和控制方法方面取得了技术进步,但仍影响着1亿人的生活。遥感已成为蝗虫管理中最重要的数据来源之一。自20世纪80年代以来,遥感数据和应用伴随了许多蝗虫管理活动,并有助于更好、更有效地控制蝗虫暴发和蝗灾。最近,开放获取的遥感数据档案以及云计算的进展为基于遥感的蝗虫管理和研究提供了前所未有的机会。此外,无人机系统为更有效、更快地控制蝗虫带来了新的前景。然而,现有遥感应用的全部能力和可能性尚未得到充分利用。这篇综述文章对聚焦于蝗虫管理和研究的遥感应用的国际研究文章进行了全面和定量的概述。我们回顾了过去四十年来发表的110篇文章,并将它们分类到不同方面和主要研究主题,以总结成果和差距,供进一步研究和应用开发参考。结果显示强烈聚焦于三个物种——沙漠蝗、飞蝗()和澳洲灾蝗()——以及相应的感兴趣区域。对于其他害虫物种,如意蝗、摩洛哥蝗、中美蝗()、南美蝗()、褐蝗()和红蝗(),仍然缺乏国际研究。在应用的传感器方面,大多数研究利用了先进甚高分辨率辐射计(AVHRR)、地球观测卫星植被仪(SPOT-VGT)、中分辨率成像光谱仪(MODIS)以及陆地卫星数据,主要侧重于植被监测或土地覆盖制图。尽管先前已认识到地貌指标以及基于雷达的土壤湿度数据对蝗虫暴发的重要性,但它们的应用相对较少。尽管现有遥感资源取得了巨大进展并得到了广泛应用,但我们确定了几个差距和未来研究的潜力,以进一步提高对利用遥感支持蝗虫暴发研究和管理的理解和能力。