[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-4501":3,"related-4501":120},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":6,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":24,"tags":26,"primary_topic":33,"secondary_topics":39,"classification":46,"search_phrases":101,"slug":104,"view_count":22,"doi":105,"paper":106,"created_at":119},4501,"THE IMPACT OF AGRICULTURAL LANDSCAPE USE AROUND KOKAND CITY ON FOOD SECURITY","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23244244","This thesis examines the impact of agricultural landscape use around Kokand City on food security based on a geographical approach. The study area encompasses agricultural territories directly adjacent to Kokand City and functionally connected to the city’s food supply. Landscape, territorial-comparative, statistical, and ecological-geographical analysis methods were used in the study. Based on official statistical data, it is shown that agricultural, forestry, and fishery products are produced within Kokand City itself. During January–September 2024, the volume of products from these sectors in the city amounted to 264.8 billion UZS, including 2.7 thousand tons of vegetables, 4.9 thousand tons of fruits, 7.4 thousand tons of milk, and 2.1 thousand tons of meat. At the same time, intensive irrigated farming, soil salinization, the efficiency of water resource use, and urbanization processes were assessed as key factors affecting the sustainability of agricultural landscapes. The study substantiates the need to monitor peri-urban agro-landscapes using GIS and remote sensing, improve irrigation efficiency, and control the transformation of productive agricultural land to strengthen food security.","本论文基于地理学方法，考察了浩罕市周边农业景观利用对粮食安全的影响。研究区域涵盖与浩罕市直接相邻且在功能上与城市粮食供应相联系的农业地域。研究中采用了景观分析、地域比较、统计及生态地理分析方法。基于官方统计数据，研究表明浩罕市自身范围内生产了农业、林业和渔业产品。2024年1月至9月期间，该市这些部门的产品总量达2648亿苏姆，其中包括2700吨蔬菜、4900吨水果、7400吨牛奶和2100吨肉类。同时，集约化灌溉农业、土壤盐渍化、水资源利用效率及城市化进程被评估为影响农业景观可持续性的关键因素。研究论证了利用地理信息系统（GIS）和遥感技术监测城郊农业景观、提高灌溉效率以及控制生产性农业用地转变以加强粮食安全的必要性。",null,"Zenodo (CERN European Organization for Nuclear Research)","2026-10-08T00:00:00Z","论文",10,false,61,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},8,18,14,12,9,1,"基于GIS与遥感的城郊农业景观研究，数据具体但属地方性案例，方法可借鉴。",[25],{"name":10,"url":6},[27,28,29,30,31,32],"粮食安全","遥感监测","GIS","灌溉效率","盐碱化","城郊农业",{"code":34,"slug":35,"name":36,"path":37,"parent_code":38},"A8","yield-food-security","单产提升与粮食安全","\u002Ftopic\u002Ffield-crops\u002Fyield-food-security","A",[40],{"code":41,"slug":42,"name":43,"path":44,"parent_code":45},"H3","irrigation","水资源与灌溉","\u002Ftopic\u002Fenvironment\u002Firrigation","H",{"status":47,"locked":14,"version":48,"method":49,"evidence":50},"classified","2026-10-22.2","rules",{"candidates":51,"agricultural_evidence":54},[52,59,66,74,80,88,95],{"code":34,"score":53,"supported":54,"title":55,"abstract":57,"tags":58},15,true,[56],"food security",[27,56],[27],{"code":41,"score":21,"supported":54,"title":60,"abstract":61,"tags":65},[],[62,63,42,64],"灌溉","水资源","water resource",[],{"code":67,"score":68,"supported":54,"title":69,"abstract":70,"tags":73},"I3",7,[],[71,72],"遥感","remote sensing",[28],{"code":75,"score":68,"supported":54,"title":76,"abstract":77,"tags":79},"I4",[],[78,29],"地理信息",[29],{"code":81,"score":82,"supported":54,"title":83,"abstract":84,"tags":87},"H2",6,[],[85,86],"土壤","soil",[],{"code":89,"score":90,"supported":54,"title":91,"abstract":92,"tags":94},"B1",3,[],[93],"蔬菜",[],{"code":96,"score":90,"supported":54,"title":97,"abstract":98,"tags":100},"D",[],[99],"渔业",[],[102,103],"Kokand 农业景观 粮食安全","城郊农业 GIS 遥感","Kokand农业景观粮食安全-4501","10.5281\u002Fzenodo.23244244",{"doi":105,"openalex_id":107,"authors":108,"venue":10,"cited_by_count":111,"oa_url":6,"card":112,"direction":116,"ingested_from":118},"W7220903359",[109],{"name":110,"orcid":9},"Boratov Alijon",0,{"tldr":113,"method":114,"finding":115,"direction":116,"opportunity":117},"基于地理方法分析科坎德市周边农业景观利用对粮食安全的影响。","景观与生态地理分析、统计及GIS遥感监测建议。","灌溉、盐渍化、水资源效率与城市化是影响农业景观可持续性的关键因素。","农业遥感与作物表型","可结合GIS与遥感构建城郊农业景观动态监测体系，评估灌溉效率与土地转化对粮食安全的影响。","openalex","2026-10-09T23:30:25.643757Z",{"total":82,"page":22,"page_size":82,"items":121},[122,178,255,313,385,457],{"id":123,"title":124,"url":125,"summary":126,"summary_zh":127,"content":9,"source_name":10,"source_url":125,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":128,"score_detail":129,"sources":131,"tags":133,"primary_topic":137,"secondary_topics":138,"classification":140,"search_phrases":163,"slug":166,"view_count":22,"doi":167,"paper":168,"created_at":177},4502,"THE IMPORTANCE OF IRRIGATED AGRICULTURAL LANDSCAPES IN THE FERGANA VALLEY FOR ENSURING FOOD SECURITY","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23242201","This thesis analyzes the role of irrigated agricultural landscapes formed in the Uzbek part of the Fergana Valley in ensuring food security from a geographical perspective. The Fergana, Andijan, and Namangan regions were selected as the study area. The interrelationships of irrigated lands with natural-geographical conditions, water resources, soil cover, and economic activities are examined. Regional differences in the volume of agricultural production are analyzed by province. The study also highlights the impact of factors such as water scarcity, soil salinization, deterioration of land reclamation conditions, and intensive anthropogenic use on the productive potential of landscapes. The results substantiate the need for integrated management of water and land resources in the use of irrigated agro-landscapes, monitoring based on GIS and remote sensing, and the wider adoption of water-saving technologies to ensure long-term food security.","本论文从地理学视角分析了费尔干纳谷地乌兹别克斯坦部分形成的灌溉农业景观在保障粮食安全中的作用。研究选取费尔干纳、安集延和纳曼干三个地区作为研究区域，考察了灌溉土地与自然地理条件、水资源、土壤覆盖及经济活动之间的相互关系。按省域分析了农业生产总量的区域差异。研究还揭示了水资源短缺、土壤盐渍化、土地改良条件恶化以及高强度人为利用等因素对景观生产潜力的影响。研究结果证实，在利用灌溉农业景观时，有必要对水土资源实行综合管理，基于GIS和遥感进行监测，并更广泛地采用节水技术，以保障长期粮食安全。",65,{"impact":20,"substance":18,"depth":53,"authority":20,"freshness":17,"relevant":22,"comment":130},"以费尔干纳盆地为例分析灌溉农业景观与粮食安全，涉及盐碱化、遥感监测与节水技术，对中亚农业信息化有参考价值，但地域性较强。",[132],{"name":10,"url":125},[27,134,28,135,136],"节水灌溉","灌溉农业","盐碱化治理",{"code":34,"slug":35,"name":36,"path":37,"parent_code":38},[139],{"code":41,"slug":42,"name":43,"path":44,"parent_code":45},{"status":47,"locked":14,"version":48,"method":49,"evidence":141},{"candidates":142,"agricultural_evidence":54},[143,147,151,155,159],{"code":34,"score":53,"supported":54,"title":144,"abstract":145,"tags":146},[56],[27,56],[27],{"code":41,"score":17,"supported":54,"title":148,"abstract":149,"tags":150},[],[62,63],[135,134],{"code":67,"score":68,"supported":54,"title":152,"abstract":153,"tags":154},[],[71,72],[28],{"code":81,"score":82,"supported":54,"title":156,"abstract":157,"tags":158},[],[85,86],[],{"code":75,"score":90,"supported":54,"title":160,"abstract":161,"tags":162},[],[29],[],[164,165],"费尔干纳盆地 灌溉农业","乌兹别克斯坦 粮食安全","费尔干纳盆地灌溉农业-4502","10.5281\u002Fzenodo.23242201",{"doi":167,"openalex_id":169,"authors":170,"venue":10,"cited_by_count":111,"oa_url":125,"card":172,"direction":116,"ingested_from":118},"W7220934542",[171],{"name":110,"orcid":9},{"tldr":173,"method":174,"finding":175,"direction":116,"opportunity":176},"分析费尔干纳谷地灌溉农业景观对粮食安全的作用及区域差异。","地理学分析结合GIS与遥感监测，评估水土资源与农业生产。","水资源短缺、土壤盐渍化等威胁景观生产力，需综合管理水土地资源。","可结合遥感与GIS构建盐渍化与灌溉效率动态监测模型，支撑节水决策。","2026-10-09T23:30:25.704297Z",{"id":179,"title":180,"url":181,"summary":182,"summary_zh":183,"content":9,"source_name":184,"source_url":181,"published_at":185,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":186,"score_detail":187,"sources":191,"tags":193,"primary_topic":198,"secondary_topics":199,"classification":201,"search_phrases":231,"slug":234,"view_count":111,"doi":235,"paper":236,"created_at":254},4887,"Farming under fire: Conflict, displacement, and the collapse of food security in south Lebanon","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jrurstud.2026.104458","Context Lebanon's agricultural sector and food systems are facing unprecedented pressures amid overlapping crises: economic collapse, climate change, and the 2023-2025 armed conflict with Israel. Objective This paper investigates the compounded impact of conflict-induced displacement and climate stress on rural livelihoods, agricultural productivity, and food security in South Lebanon-an area marked by strategic agricultural value and climate vulnerability. Methods Drawing on 29 in-depth interviews with displaced farmers, cooperative leaders, and food producers from conflict-affected areas such as Marjayoun, Nabatieh, and Bint Jbeil, this qualitative study uncovers key disruptions in agricultural infrastructure, local markets, and household food access. Interview findings are also triangulated with published secondary quantitative data (IPC, FAO, WFP, and World Bank assessments). Results and conclusion s: The findings reveal how displacement led to the abandonment of farms, loss of livestock, contamination of crops, and collapse of cooperative models, exacerbating existing economic and climate stressors like currency depreciation, water scarcity, unpredictable rainfall, and reduced yields. Gendered impacts, informal solidarity mechanisms, and persistent energy and input shortages emerged as critical themes. The study highlights the urgent need for an integrated recovery strategy focused on smart irrigation, climate-resilient crops, market reintegration, and financial support for smallholders. The analysis is guided by a conceptual framework that treats conflict-induced displacement and climate stress as interlocking drivers of livelihood erosion, market collapse, and food and nutrition insecurity, with gendered and refugee-specific vulnerabilities at the core. Significance As Lebanon faces a worsening food insecurity crisis, with 1.17 million people in IPC Phase 3 or higher, rebuilding agriculture is no longer a developmental luxury but an existential necessity for national food security.","背景 黎巴嫩的农业部门和粮食系统在多重危机交织下面临前所未有的压力：经济崩溃、气候变化以及2023至2025年与以色列的武装冲突。目标 本文研究冲突导致的流离失所与气候压力对黎巴嫩南部农村生计、农业生产力和粮食安全的叠加影响——该地区具有重要的农业战略价值和气候脆弱性。方法 本定性研究基于对来自马尔杰永、纳巴蒂耶和宾特朱拜勒等受冲突影响地区的流离失所农民、合作社领导人和粮食生产者的29次深度访谈，揭示了农业基础设施、地方市场和家庭粮食获取方面的关键中断。访谈结果还与已发表的二手定量数据（IPC、FAO、WFP和世界银行的评估）进行了三角验证。结果与结论 研究结果揭示了流离失所如何导致农田弃耕、牲畜损失、作物污染和合作社模式崩溃，加剧了现有的经济和气候压力因素，如货币贬值、水资源短缺、降雨不可预测和产量下降。性别影响、非正式互助机制以及持续存在的能源和投入品短缺成为关键主题。研究强调迫切需要一项综合恢复战略，重点关注智能灌溉、气候韧性作物、市场再融入以及对小农户的财政支持。分析以一个概念框架为指导，该框架将冲突导致的流离失所和气候压力视为生计侵蚀、市场崩溃以及粮食和营养不安全的相互关联驱动因素，并将性别和难民特有的脆弱性置于核心位置。意义 随着黎巴嫩面临日益恶化的粮食不安全危机，有117万人处于IPC第3阶段或更高阶段，重建农业不再是一种发展上的奢侈，而是国家粮食安全的生存必需。","Journal of Rural Studies","2026-10-12T00:00:00Z",85,{"impact":188,"substance":189,"depth":18,"authority":19,"freshness":17,"relevant":22,"comment":190},22,23,"基于29个深度访谈与IPC\u002FFAO等数据的定性研究，揭示冲突叠加气候压力对南黎巴嫩农业与粮食安全的复合冲击，并提出智慧灌溉与气候韧性作物等恢复策略，对冲突地区农业重建具参考价值。",[192],{"name":184,"url":181},[27,194,195,196,197],"气候韧性","智慧灌溉","小农户支持","冲突与农业",{"code":34,"slug":35,"name":36,"path":37,"parent_code":38},[200],{"code":41,"slug":42,"name":43,"path":44,"parent_code":45},{"status":47,"locked":14,"version":48,"method":49,"evidence":202},{"candidates":203,"agricultural_evidence":54},[204,208,212,219,225],{"code":34,"score":53,"supported":54,"title":205,"abstract":206,"tags":207},[56],[27,56],[27],{"code":41,"score":13,"supported":54,"title":209,"abstract":210,"tags":211},[],[62,63,42],[195],{"code":213,"score":68,"supported":54,"title":214,"abstract":215,"tags":218},"H7",[],[216,217],"气候变化","climate change",[194],{"code":220,"score":90,"supported":54,"title":221,"abstract":222,"tags":224},"C",[],[223],"livestock",[],{"code":226,"score":90,"supported":54,"title":227,"abstract":228,"tags":230},"G2",[],[229],"小农户",[],[232,233],"南黎巴嫩 粮食安全","冲突 流离失所 生计","南黎巴嫩粮食安全-4887","10.1016\u002Fj.jrurstud.2026.104458",{"doi":235,"openalex_id":237,"authors":238,"venue":184,"cited_by_count":111,"oa_url":181,"card":247,"direction":253,"ingested_from":118},"W7221536688",[239,241,244],{"name":240,"orcid":9},"Yasmine Fakhry",{"name":242,"orcid":243},"Jasmin Lilian Diab","https:\u002F\u002Forcid.org\u002F0000-0003-4158-7728",{"name":245,"orcid":246},"Hussein F. Hassan","https:\u002F\u002Forcid.org\u002F0000-0003-4215-6815",{"tldr":248,"method":249,"finding":250,"direction":251,"opportunity":252},"通过访谈与二手数据，揭示黎巴嫩南部冲突与气候压力叠加导致农业崩溃和粮食不安全。","29份深度访谈，结合IPC、FAO、WFP和世界银行二手定量数据三角验证。","流离失所致农田废弃、牲畜损失、合作社瓦解，加剧经济与气候压力，117万人处于IPC第三阶段以上。","数字乡村与农业信息化","可探索冲突\u002F气候脆弱区智慧灌溉、气候韧性作物与市场重建的数字化恢复策略。","智慧农业 \u002F 农业物联网","2026-10-14T23:30:11.877241Z",{"id":256,"title":257,"url":258,"summary":259,"summary_zh":9,"content":9,"source_name":260,"source_url":9,"published_at":261,"category":262,"cover_url":9,"hotness":13,"is_selected":14,"score":263,"score_detail":264,"sources":266,"tags":268,"primary_topic":272,"secondary_topics":273,"classification":280,"search_phrases":307,"slug":310,"view_count":311,"doi":9,"paper":9,"created_at":312},1549,"内蒙古托克托县：高标准农田建设夯实粮食安全\"耕\"基——智慧节水灌溉设备全面推广落地","https:\u002F\u002Fwww.farmer.com.cn\u002F2026\u002F09\u002F03\u002F991027484.html","托克托县建有 3 座总蓄水量近 1 万立方米的蓄水池稳定保障农田灌溉用水，高效滴灌系统持续为耕地赋能。土地规模化流转落地见效，农户既拿到稳定土地流转租金，又能在家门口务工实现双份收入。村里建立\"村集体+农户\"共管共享模式，依托高标准农田系统化建设，智慧节水灌溉设备全面推广落地，有效破解农业生产水资源受限、种植方式粗放等问题，加速推动传统农业生产模式向现代化、智能化、集约化转型升级。","农民日报·中国农网","2026-09-03T00:00:00Z","报道",56,{"impact":20,"substance":19,"depth":13,"authority":20,"freshness":17,"relevant":22,"comment":265},"地方高标准农田建设案例，有具体数据和模式，但影响范围有限。",[267],{"name":260,"url":258},[269,270,27,271],"乡村振兴","高标准农田","智慧节水",{"code":34,"slug":35,"name":36,"path":37,"parent_code":38},[274,279],{"code":275,"slug":276,"name":277,"path":278,"parent_code":45},"H1","farmland","耕地保护与高标准农田","\u002Ftopic\u002Fenvironment\u002Ffarmland",{"code":41,"slug":42,"name":43,"path":44,"parent_code":45},{"status":47,"locked":14,"version":48,"method":49,"evidence":281},{"candidates":282,"agricultural_evidence":54},[283,289,293,297,302],{"code":275,"score":284,"supported":54,"title":285,"abstract":287,"tags":288},20,[270,286],"农田建设",[270],[270],{"code":41,"score":19,"supported":54,"title":290,"abstract":291,"tags":292},[62],[62,63],[],{"code":34,"score":21,"supported":54,"title":294,"abstract":295,"tags":296},[27],[],[27],{"code":226,"score":90,"supported":54,"title":298,"abstract":299,"tags":301},[],[300],"土地流转",[],{"code":303,"score":22,"supported":14,"title":304,"abstract":305,"tags":306},"G",[],[],[269],[308,309],"高标准农田 乡村振兴 智慧节水 粮食安全","高标准农田 乡村振兴","高标准农田乡村振兴智慧节水粮食安全-1549",2,"2026-09-04T00:05:30.182055Z",{"id":314,"title":315,"url":316,"summary":317,"summary_zh":9,"content":9,"source_name":10,"source_url":316,"published_at":318,"category":12,"cover_url":9,"hotness":319,"is_selected":14,"score":320,"score_detail":321,"sources":324,"tags":328,"primary_topic":332,"secondary_topics":333,"classification":341,"search_phrases":368,"slug":371,"view_count":22,"doi":372,"paper":373,"created_at":384},1255,"Optimizing Water Management in Agriculture: The Role of IoT-Powered Smart Irrigation Systems in Addressing Global Food Security and Water Scarcity","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.21413238","Objective: This study aims to explore the impact of IoT-powered smart irrigation systems on optimizing water management in agriculture, with a specific focus on addressing global food security and mitigating water scarcity challenges. Materials and Methods: The research employs a mixed-methods approach, combining quantitative data analysis from agricultural case studies and qualitative interviews with farmers and agricultural experts. The study assesses the effectiveness of smart irrigation technologies, including soil moisture sensors, weather forecasting tools, and automated irrigation systems, in improving water use efficiency and crop yields. Results and Discussion: The findings indicate that IoT-powered smart irrigation systems significantly enhance water management practices in agriculture. These systems result in a reduction of up to 30% in water usage, while simultaneously increasing crop productivity by 15-20%. Additionally, the integration of real-time data analytics allows for more precise irrigation scheduling, which contributes to sustainable agricultural practices and improved food security. Conclusions: This research contributes to the existing literature by providing empirical evidence of the benefits of IoT technologies in agriculture. It highlights the potential of smart irrigation systems as a viable solution to the dual challenges of food security and water scarcity. The findings emphasize the need for policy interventions and investment in technology to facilitate the adoption of these systems in farming practices worldwide.","2026-08-30T00:00:00Z",25,70,{"impact":18,"substance":188,"depth":322,"authority":20,"freshness":311,"relevant":22,"comment":323},16,"论文实证智能灌溉节水30%增产20%，对农业水资源管理有参考价值，但时效性较低。",[325,326],{"name":10,"url":316},{"name":10,"url":327},"https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.21413237",[329,27,330,331],"智慧农业","智能灌溉","水资源管理",{"code":34,"slug":35,"name":36,"path":37,"parent_code":38},[334,335],{"code":41,"slug":42,"name":43,"path":44,"parent_code":45},{"code":336,"slug":337,"name":338,"path":339,"parent_code":340},"I5","agricultural-iot","物联网传感与边缘计算","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-iot","I",{"status":47,"locked":14,"version":48,"method":49,"evidence":342},{"candidates":343,"agricultural_evidence":54},[344,349,353,359,363],{"code":41,"score":345,"supported":54,"title":346,"abstract":347,"tags":348},13,[42],[42],[330,331],{"code":34,"score":20,"supported":54,"title":350,"abstract":351,"tags":352},[56],[56],[27],{"code":336,"score":354,"supported":54,"title":355,"abstract":357,"tags":358},11,[356],"IoT",[356],[],{"code":81,"score":90,"supported":54,"title":360,"abstract":361,"tags":362},[],[86],[],{"code":364,"score":22,"supported":14,"title":365,"abstract":366,"tags":367},"I1",[],[],[329],[369,370],"水资源管理 智慧农业 智能灌溉 粮食安全","水资源管理 智慧农业","水资源管理智慧农业智能灌溉粮食安全-1255","10.5281\u002Fzenodo.21413238",{"doi":372,"openalex_id":374,"authors":375,"venue":10,"cited_by_count":111,"oa_url":316,"card":379,"direction":253,"ingested_from":118},"W7169531097",[376],{"name":377,"orcid":378},"Mahdi Sabati Gavgani","https:\u002F\u002Forcid.org\u002F0000-0002-4585-9199",{"tldr":380,"method":381,"finding":382,"direction":253,"opportunity":383},"研究物联网智能灌溉系统优化农业用水，提升粮食安全与缓解水资源短缺。","混合方法：案例定量分析与农户专家定性访谈，评估传感器、天气预报和自动灌溉技术。","智能灌溉节水30%，增产15-20%，实时数据分析优化灌溉调度。","可探索智能灌溉系统在不同作物、气候和农户采纳障碍下的适应性，以及政策激励对推广的影响。","2026-09-01T04:03:11.304099Z",{"id":386,"title":387,"url":388,"summary":389,"summary_zh":390,"content":9,"source_name":391,"source_url":388,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":392,"score_detail":393,"sources":395,"tags":397,"primary_topic":401,"secondary_topics":405,"classification":411,"search_phrases":437,"slug":440,"view_count":22,"doi":441,"paper":442,"created_at":456},4504,"Development of the Potential Evapotranspiration-Vegetation-Precipitation Drought Index (PETVPDI) and Its Application in West Africa Using Remote Sensing Datasets","https:\u002F\u002Fdoi.org\u002F10.3390\u002Frs18193435","Drought remains one of the most severe climate-related hazards affecting water resources, ecosystems, and agricultural productivity in West Africa (WA). Traditional drought indices often rely on individual hydroclimatic or vegetation variables and may not fully represent the coupled effects of precipitation supply, atmospheric evaporative demand, and vegetation response. To address this limitation, this study develops and applies a composite drought indicator, the Potential Evapotranspiration–Vegetation–Precipitation Drought Index (PETVPDI), using multi-source remote sensing datasets over WA for 2001–2022. PETVPDI integrates precipitation (P), potential evapotranspiration (PET), and the normalized difference vegetation index (NDVI) within a three-dimensional Euclidean-distance framework. The index was evaluated against GLDAS soil moisture (SM), ESA CCI SM, gross primary productivity (GPP), and net primary productivity (NPP), and compared with four conventional remote-sensing drought indices (cRSDI): VCI, VHI, TVDI, and TVPDI. Deseasonalized anomaly correlations, used as the primary validation evidence to reduce the influence of the shared monsoon seasonal cycle, show that PETVPDI achieved the highest numerical correlations among the evaluated indices with GLDAS SM (R = 0.556, p \u003C 0.001), ESA CCI SM (R = 0.513, p \u003C 0.001), and GPP (R = 0.483, p \u003C 0.001). Steiger’s tests for dependent overlapping correlations show that the PETVPDI–TVPDI difference was statistically significant for raw GLDAS SM and deseasonalized ESA CCI SM, but not for the other evaluated comparisons. Spatial PETVPDI patterns represent each pixel’s relative position within its own 2001–2022 hydroclimatic and vegetation range and therefore should not be interpreted as direct differences in absolute climatic aridity among locations. Long-term trends are spatially heterogeneous across WA. Overall, PETVPDI provides an integrated framework for monitoring relative drought–wetness variability and offers complementary information for drought assessment and early-warning applications in data-scarce regions.","干旱仍然是影响西非（WA）水资源、生态系统和农业生产力最严重的气候相关灾害之一。传统干旱指数通常依赖单一的水文气候或植被变量，可能无法充分反映降水供给、大气蒸发需求和植被响应之间的耦合效应。为解决这一局限，本研究利用2001—2022年西非多源遥感数据集，开发并应用了一种复合干旱指标——潜在蒸散–植被–降水干旱指数（PETVPDI）。PETVPDI在三维欧氏距离框架内整合了降水（P）、潜在蒸散（PET）和归一化差异植被指数（NDVI）。该指数以GLDAS土壤湿度（SM）、ESA CCI SM、总初级生产力（GPP）和净初级生产力（NPP）进行评估，并与四种传统遥感干旱指数（cRSDI）：VCI、VHI、TVDI和TVPDI进行比较。以去季节化异常相关性作为主要验证依据，以减少共同季风季节循环的影响，结果表明PETVPDI在所评估的指数中与GLDAS SM（R = 0.556，p \u003C 0.001）、ESA CCI SM（R = 0.513，p \u003C 0.001）和GPP（R = 0.483，p \u003C 0.001）的数值相关性最高。针对相依重叠相关性的Steiger检验表明，PETVPDI–TVPDI差异在原始GLDAS SM和去季节化ESA CCI SM上具有统计学显著性，但在其他评估比较中不显著。PETVPDI的空间格局表示每个像元在其自身2001—2022年水文气候和植被范围内的相对位置，因此不应被解释为地点之间绝对气候干燥度的直接差异。长期趋势在西非呈现空间异质性。总体而言，PETVPDI为监测相对干旱–湿润变率提供了一个集成框架，并为数据稀缺地区的干旱评估和预警应用提供了补充信息。","Remote Sensing",75,{"impact":20,"substance":188,"depth":18,"authority":19,"freshness":21,"relevant":22,"comment":394},"提出融合降水、蒸散与植被的复合干旱指数，方法新颖、验证扎实，对数据稀缺区农业干旱预警有参考价值，但区域局限于西非，国内应用关联度有限。",[396],{"name":391,"url":388},[27,398,28,399,400],"农业气象","西非农业","干旱指数",{"code":213,"slug":402,"name":403,"path":404,"parent_code":45},"climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate",[406,410],{"code":67,"slug":407,"name":408,"path":409,"parent_code":340},"remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing",{"code":41,"slug":42,"name":43,"path":44,"parent_code":45},{"status":47,"locked":14,"version":48,"method":49,"evidence":412},{"candidates":413,"agricultural_evidence":54},[414,420,424,429,433],{"code":213,"score":322,"supported":54,"title":415,"abstract":417,"tags":419},[416],"drought",[418,416],"干旱",[398,400],{"code":67,"score":53,"supported":54,"title":421,"abstract":422,"tags":423},[72],[71,72],[28],{"code":41,"score":19,"supported":54,"title":425,"abstract":427,"tags":428},[426],"evapotranspiration",[63,426],[],{"code":81,"score":82,"supported":54,"title":430,"abstract":431,"tags":432},[],[85,86],[],{"code":34,"score":22,"supported":14,"title":434,"abstract":435,"tags":436},[],[],[27],[438,439],"PETVPDI 干旱指数 西非","遥感 干旱监测 NDVI","PETVPDI干旱指数西非-4504","10.3390\u002Frs18193435",{"doi":441,"openalex_id":443,"authors":444,"venue":391,"cited_by_count":111,"oa_url":388,"card":451,"direction":116,"ingested_from":118},"W7220963372",[445,448],{"name":446,"orcid":447},"Abdoul-Aziz Bio Sidi D. Bouko","https:\u002F\u002Forcid.org\u002F0009-0003-1179-8046",{"name":449,"orcid":450},"Bing Gao","https:\u002F\u002Forcid.org\u002F0000-0003-0782-8858",{"tldr":452,"method":453,"finding":454,"direction":116,"opportunity":455},"构建融合蒸散、植被与降水的复合干旱指数PETVPDI，并用于西非2001—2022年干旱监测。","多源遥感数据，三维欧氏距离整合P、PET、NDVI，与土壤湿度、GPP\u002FNPP及","PETVPDI与土壤湿度和GPP的相关性最高，能更好反映干旱-湿润相对变化，但趋势空间异质。","可将该复合指数迁移至其他数据稀缺区，并结合作物产量或灌溉需水做农业干旱预警与适应性研究。","2026-10-09T23:30:25.838340Z",{"id":458,"title":459,"url":460,"summary":461,"summary_zh":462,"content":9,"source_name":463,"source_url":460,"published_at":464,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":465,"score_detail":466,"sources":470,"tags":472,"primary_topic":475,"secondary_topics":476,"classification":478,"search_phrases":506,"slug":509,"view_count":111,"doi":510,"paper":511,"created_at":550},4313,"A semi-supervised multi-sensor remote sensing pipeline for mapping irrigation dynamics in ground-truth deficient conflict zones: a case study of the Kakhovka Dam failure","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffrsen.2026.1920951","The ongoing war in Ukraine has drawn international attention to the impact of conflict on global agricultural production and food security. On 6 June 2023, the Kakhovka Dam was destroyed. The loss of this critical agricultural and energy infrastructure has left most farmers on the East bank of the Dnipro River without irrigation in Kherson and Zaporizhzhia oblasts. This study develops a multi-sensor Earth Observation framework combining high resolution satellite imagery (Sentinel-2, Landsat) with meteorological data (CHIRPS) and water productivity data (FAO WaPOR), using a semi-supervised machine learning pipeline. Using a rigorous stratified random-sampling approach with photointerpretation, we found pre-war irrigated areas between 2019 to 2021 to be on average 187.94 ± 14.43 kHa, approximately 4% of pre-war baseline cropland and 8% of summer season cropland in Kherson and Zaporizhzhia oblasts. In 2022, these numbers contracted to 140.04 ± 17.44 kHa with the expanded occupation of these territories by Russia, seeing an additional decline in 2023 to 74.97 ± 17.84 kHa. Fields in 2023 also exhibited variability in irrigation, ranging from interrupted irrigation owing to the destruction of the Kakhovka reservoir, to those that were sufficiently irrigated with water remaining in the channels. Irrigated areas diminished further in 2024 to 15.95 ± 9.97 kHa, a ∼91% decline from pre-war averages. Based on inspection, formerly irrigated fields before 2023 were either systematically abandoned or converted to winter cropland with lower input requirements by 2024–a pattern that continued into 2025 (total irrigated area 5.76 ± 0.87 kHa). This study demonstrates the power of advanced EO workflows to precisely quantify agricultural transformation and infrastructural failure in ground-truth deficient, high-risk environments.","乌克兰持续不断的战争使国际社会关注冲突对全球农业生产和粮食安全的影响。2023年6月6日，卡霍夫卡大坝被毁。这一关键农业和能源基础设施的丧失，使第聂伯河（Dnipro River）东岸赫尔松州和扎波罗热州的大多数农民失去了灌溉条件。本研究开发了一个多传感器地球观测（Earth Observation）框架，将高分辨率卫星影像（Sentinel-2、Landsat）与气象数据（CHIRPS）和水生产力数据（FAO WaPOR）相结合，采用半监督机器学习流程。通过严格的 stratified random-sampling 方法并结合照片判读，我们发现2019年至2021年战前灌溉面积平均为187.94 ± 14.43 kHa，约占赫尔松州和扎波罗热州战前基线耕地面积的4%，以及夏季作物耕地面积的8%。2022年，随着俄罗斯对这些领土占领的扩大，上述数字缩减至140.04 ± 17.44 kHa，2023年进一步下降至74.97 ± 17.84 kHa。2023年的田块在灌溉方面也表现出差异性，从因卡霍夫卡水库被毁而灌溉中断，到因渠道中仍有存水而得到充分灌溉的情况不等。2024年，灌溉面积进一步减少至15.95 ± 9.97 kHa，较战前平均值下降约91%。根据核查，2023年之前曾受灌溉的田块到2024年要么被系统性弃耕，要么转为投入需求较低的冬季作物用地——这一模式延续至2025年（总灌溉面积为5.76 ± 0.87 kHa）。本研究表明，先进的地球观测工作流程能够在缺乏地面真值、高风险的环境中精确量化农业转型和基础设施失效。","Frontiers in Remote Sensing","2026-10-05T00:00:00Z",87,{"impact":188,"substance":467,"depth":468,"authority":345,"freshness":21,"relevant":22,"comment":469},24,19,"用半监督多源遥感量化战区灌溉萎缩，方法新颖、数据扎实，对农业遥感与粮食安全研究有参考价值。",[471],{"name":463,"url":460},[27,28,473,474,62],"冲突农业","多源遥感",{"code":41,"slug":42,"name":43,"path":44,"parent_code":45},[477],{"code":67,"slug":407,"name":408,"path":409,"parent_code":340},{"status":47,"locked":14,"version":48,"method":49,"evidence":479},{"candidates":480,"agricultural_evidence":54},[481,485,489,493,500],{"code":41,"score":19,"supported":54,"title":482,"abstract":483,"tags":484},[42],[62,42],[],{"code":67,"score":13,"supported":54,"title":486,"abstract":487,"tags":488},[72],[],[474,28],{"code":34,"score":68,"supported":54,"title":490,"abstract":491,"tags":492},[],[27,56],[27],{"code":494,"score":82,"supported":54,"title":495,"abstract":496,"tags":499},"I2",[],[497,498],"机器学习","machine learning",[],{"code":501,"score":90,"supported":54,"title":502,"abstract":503,"tags":505},"J3",[],[504],"全球农业",[],[507,508],"冲突农业 多源遥感 粮食安全 遥感监测","冲突农业 多源遥感","冲突农业多源遥感粮食安全遥感监测-4313","10.3389\u002Ffrsen.2026.1920951",{"doi":510,"openalex_id":512,"authors":513,"venue":463,"cited_by_count":111,"oa_url":544,"card":545,"direction":116,"ingested_from":118},"W7220438608",[514,517,520,523,526,529,532,534,536,538,541],{"name":515,"orcid":516},"Sheila Baber","https:\u002F\u002Forcid.org\u002F0000-0002-5596-8970",{"name":518,"orcid":519},"Sergii V. Skakun","https:\u002F\u002Forcid.org\u002F0000-0002-9039-0174",{"name":521,"orcid":522},"Yuval Sadeh","https:\u002F\u002Forcid.org\u002F0000-0002-4346-0432",{"name":524,"orcid":525},"Леонід Леонідович Шуміло","https:\u002F\u002Forcid.org\u002F0000-0002-7395-7933",{"name":527,"orcid":528},"Oleksandra Oliinyk","https:\u002F\u002Forcid.org\u002F0000-0002-2392-3938",{"name":530,"orcid":531},"Mehdi Hosseini","https:\u002F\u002Forcid.org\u002F0000-0003-3242-613X",{"name":533,"orcid":9},"Josef Wagner",{"name":535,"orcid":9},"Abdul Qadir Khan",{"name":537,"orcid":9},"Shabarinath Nair",{"name":539,"orcid":540},"Abhishek Kotcharlakota","https:\u002F\u002Forcid.org\u002F0009-0001-1832-4631",{"name":542,"orcid":543},"Inbal Becker‐Reshef","https:\u002F\u002Forcid.org\u002F0000-0002-2160-5151","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fremote-sensing\u002Farticles\u002F10.3389\u002Ffrsen.2026.1920951\u002Fpdf",{"tldr":546,"method":547,"finding":548,"direction":116,"opportunity":549},"用半监督多源遥感监测卡霍夫卡大坝被毁后灌溉面积从战前18.8万公顷降至2025年0.58万公顷。","Sentinel-2、Landsat、CHIRPS与FAO WaPOR数据结合半","灌溉面积由2019-2021年均187.94 kHa降至2024年15.95 kHa，降幅约91%，","可将该半监督多源框架迁移至其他缺地面真值冲突区，并耦合作物产量与粮食安全评估。","2026-10-06T23:30:20.495894Z"]