[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2431":3,"related-2431":81},{"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":18,"tags":20,"primary_topic":25,"secondary_topics":31,"classification":32,"search_phrases":56,"slug":59,"view_count":47,"doi":60,"paper":61,"created_at":80},2431,"Integrating Local Knowledge And Decentralized Land Management For Climate-Resilient Built Environment Planning In Northern Jigawa State, Nigeria","https:\u002F\u002Fdoi.org\u002F10.67693\u002Fbjcr-4x243sna","Climate vulnerability in semi-arid regions is increasingly shaped by the interaction of land-use change, vegetation stress, climate variability, settlement expansion and weak land-management systems.This study examines how local knowledge and decentralized land management can support climate-resilient built environment planning in Northern Jigawa State, Nigeria.The article links land-use pressure, vegetation change and climate variability with built-up expansion, permeable surface availability, settlement resilience and community knowledge in order to propose a co-created planning approach for sustainable built environment outcomes.The study adopted an integrated mixed-methods socio-spatial design using thesis-derived evidence from multitemporal Landsat imagery, NDVI analysis, land-use\u002Fland-cover classification, rainfall and temperature assessment, socioeconomic indicators, built-environment sustainability variables, interviews, focus group discussions and stakeholder observations.Findings indicate that population growth, agricultural expansion and infrastructure development have intensified pressure on land resources, contributing to vegetation decline, reduced surface permeability and increased exposure to heat stress, runoff and localized flooding risks.The results also show that rainfall variability and rising temperature interact with human land-use decisions to shape climate vulnerability.The study concludes that resilient built environment planning in semi-arid areas requires more than technical spatial planning; it demands the integration of geospatial evidence, local knowledge, decentralized land-use control, vegetation restoration and participatory environmental governance.","半干旱地区的气候脆弱性日益受到土地利用变化、植被胁迫、气候变率、聚落扩张和土地管理系统薄弱等因素交互作用的影响。本研究探讨了地方知识与分散化土地管理如何支持尼日利亚吉加瓦州北部气候韧性建成环境规划。文章将土地利用压力、植被变化和气候变率与建成区扩张、透水地表可用性、聚落韧性和社区知识相联系，以提出一种共同创造的规划方法，促进可持续的建成环境成果。研究采用综合混合方法的社会-空间设计，运用多时相Landsat影像、NDVI（归一化植被指数）分析、土地利用\u002F土地覆盖分类、降雨与温度评估、社会经济指标、建成环境可持续性变量、访谈、焦点小组讨论和利益相关者观察等论文衍生证据。研究发现表明，人口增长、农业扩张和基础设施建设加剧了土地资源压力，导致植被退化、地表透水性降低以及热胁迫、径流和局部洪水风险暴露增加。结果还显示，降雨变率和气温上升与人类土地利用决策相互作用，共同塑造气候脆弱性。研究结论认为，半干旱地区的韧性建成环境规划不仅需要技术性空间规划，还需要整合地理空间证据、地方知识、分散化土地利用管控、植被恢复和参与式环境治理。",null,"British Journal of Contemporary Research","2026-09-11T00:00:00Z","论文",10,false,0,{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":17},"研究聚焦尼日利亚半干旱区建成环境规划与地方知识治理，属城市与土地管理议题，与三农、农业信息化、数字乡村等平台主题无直接关联，不建议进入每日精选。",[19],{"name":10,"url":6},[21,22,23,24],"气候韧性","遥感监测","土地利用","参与式治理",{"code":26,"slug":27,"name":28,"path":29,"parent_code":30},"H7","climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate","H",[],{"status":33,"locked":14,"version":34,"method":35,"evidence":36},"classified","2026-10-22.2","rules",{"candidates":37,"agricultural_evidence":40},[38,45,51],{"code":26,"score":39,"supported":40,"title":41,"abstract":42,"tags":44},4,true,[],[43],"干旱",[21],{"code":46,"score":47,"supported":14,"title":48,"abstract":49,"tags":50},"H6",1,[],[],[23],{"code":52,"score":47,"supported":14,"title":53,"abstract":54,"tags":55},"I3",[],[],[22],[57,58],"参与式治理 土地利用 气候韧性 遥感监测","参与式治理 土地利用","参与式治理土地利用气候韧性遥感监测-2431","10.67693\u002Fbjcr-4x243sna",{"doi":60,"openalex_id":62,"authors":63,"venue":10,"cited_by_count":15,"oa_url":71,"card":72,"direction":78,"ingested_from":79},"W7212300148",[64,67,69],{"name":65,"orcid":66},"Garba T","https:\u002F\u002Forcid.org\u002F0000-0002-7619-9023",{"name":68,"orcid":9},"Choji I D",{"name":70,"orcid":9},"Nasiru N M","https:\u002F\u002Fbexfordpublishing.co.uk\u002Fjournals\u002Fbjcr\u002Farticles\u002FBEX_JUL_26_079\u002Fdownload",{"tldr":73,"method":74,"finding":75,"direction":76,"opportunity":77},"研究尼日利亚半干旱区如何结合地方知识与分散土地管理，规划气候韧性建成环境。","多时相Landsat影像、NDVI、土地利用分类、气候与社会经济数据及访谈。","人口增长与农业扩张致植被退化、透水面减少，加剧热浪与洪水风险。","数字乡村与农业信息化","可探索遥感与地方知识融合的参与式土地治理模型，支撑半干旱区气候适应规划。","农业遥感与作物表型","openalex","2026-09-14T23:30:27.222417Z",{"total":82,"page":47,"page_size":82,"items":83},6,[84,165,225,338,409,465],{"id":85,"title":86,"url":87,"summary":88,"summary_zh":89,"content":9,"source_name":90,"source_url":87,"published_at":91,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":92,"score_detail":93,"sources":98,"tags":100,"primary_topic":103,"secondary_topics":104,"classification":111,"search_phrases":146,"slug":149,"view_count":47,"doi":150,"paper":151,"created_at":164},3903,"An Analysis of Land Use and Land Cover Change Detection Using Geospatial Technology-A Case Study of Phalsoond Tehsil in Jaisalmer District, Rajasthan, India","https:\u002F\u002Fdoi.org\u002F10.22214\u002Fijraset.2026.84983","Analysis of Land Use and Land Cover (LULC) change is significant indicators of environmental changes, resource utilization and sustainable development, especially in arid regions where land and water resources are very fragile. The present study has investigated the spatio-temporal analysis of LULC changes in Phascoond Tehsil of Jaisalmer District of Rajasthan, India from the year 2017 to 2024 using Remote sensing and Geographic Information System (GIS) techniques. To classify the study area, multi-temporal Sentinel-2 data with 10 m spatial resolution were provided by the Esri Sentinel-2 Land Cover Explorer, which was used to separate the area into five categories i.e. water bodies, agriculture land, built-up areas, bare ground and wasteland. LULC changes were quantified in terms of magnitude and direction using post-classification comparison and GIS-based change detection techniques. The findings show significant change in landscape over the year 2017 to 2024. Wasteland remained the dominant land-cover category but declined from 779.07 km² (78.28%) in 2017 to 726.86 km² (71.41%) in 2024. Agricultural area grew by 86.62 km² (+19.48% to 280.52 km²), adding 94.76 km² of wasteland. Gradual settlement and infrastructure development also resulted in an increase in built-up area from 3.89 km2 to 7.73 km2 . The water bodies were small in spatial extent and slight shifts happened between bare ground and other land-cover classes. The results clearly show that the Sentinel-2 data and GIS-based analysis is useful in monitoring LULC dynamics in data-sparse arid regions. The present extent of agriculture and development has occurred at a time when there is a need to manage the land and groundwater resources sustainably, monitor environment, and plan land use with climate change in Phalsoond tehsil of Jaisalmer District in western Rajasthan.","土地利用与土地覆盖（LULC）变化分析是环境变化、资源利用和可持续发展的重要指标，在土地与水资源极为脆弱的干旱地区尤为如此。本研究利用遥感与地理信息系统（GIS）技术，对印度拉贾斯坦邦杰伊瑟尔梅尔县Phascoond乡2017年至2024年间的LULC变化进行了时空分析。为对研究区进行分类，采用了Esri Sentinel-2土地覆盖浏览器提供的10 m空间分辨率多时相Sentinel-2数据，将区域划分为五个类别，即水体、农用地、建设用地、裸地和荒地。通过分类后比较和基于GIS的变化检测技术，从幅度和方向两方面对LULC变化进行了量化。研究结果表明，2017年至2024年间景观发生了显著变化。荒地仍为优势土地覆盖类型，但从2017年的779.07 km²（78.28%）下降至2024年的726.86 km²（71.41%）。农业面积增加了86.62 km²（增幅19.48%，达到280.52 km²），占用了94.76 km²的荒地。逐步的聚落与基础设施建设也导致建设用地从3.89 km²增加至7.73 km²。水体空间范围较小，裸地与其他土地覆盖类别之间发生了轻微转换。结果清楚表明，Sentinel-2数据与基于GIS的分析对于监测数据稀缺干旱地区的LULC动态具有实用价值。当前农业与开发的程度出现在这样一个时期：拉贾斯坦邦西部杰伊瑟尔梅尔县Phalsoond乡亟需可持续管理土地与地下水资源、监测环境，并在气候变化背景下进行土地利用规划。","International Journal for Research in Applied Science and Engineering Technology","2026-09-30T00:00:00Z",52,{"impact":82,"substance":94,"depth":95,"authority":82,"freshness":96,"relevant":47,"comment":97},18,14,8,"基于Sentinel-2与GIS的印度干旱区土地利用变化研究，方法规范但属区域性案例，对国内三农信息化参考价值有限。",[99],{"name":90,"url":87},[22,23,101,102],"干旱区农业","GIS应用",{"code":26,"slug":27,"name":28,"path":29,"parent_code":30},[105],{"code":106,"slug":107,"name":108,"path":109,"parent_code":110},"I4","gis","GIS与空间分析","\u002Ftopic\u002Fdigital-agriculture\u002Fgis","I",{"status":33,"locked":14,"version":34,"method":35,"evidence":112},{"candidates":113,"agricultural_evidence":40},[114,120,128,135,142],{"code":26,"score":13,"supported":40,"title":115,"abstract":116,"tags":119},[],[117,43,118],"气候变化","climate change",[101],{"code":106,"score":121,"supported":40,"title":122,"abstract":123,"tags":127},9,[],[124,125,126],"地理信息","GIS","geographic information",[],{"code":52,"score":129,"supported":40,"title":130,"abstract":131,"tags":134},7,[],[132,133],"遥感","remote sensing",[22],{"code":136,"score":137,"supported":40,"title":138,"abstract":139,"tags":141},"H3",3,[],[140],"水资源",[],{"code":46,"score":47,"supported":14,"title":143,"abstract":144,"tags":145},[],[],[23],[147,148],"Jaisalmer 土地利用变化","Sentinel-2 遥感 干旱区","Jaisalmer土地利用变化-3903","10.22214\u002Fijraset.2026.84983",{"doi":150,"openalex_id":152,"authors":153,"venue":90,"cited_by_count":15,"oa_url":87,"card":159,"direction":78,"ingested_from":79},"W7214996325",[154,156],{"name":155,"orcid":9},"Deendayal .",{"name":157,"orcid":158},"Om Prakash","https:\u002F\u002Forcid.org\u002F0000-0003-1239-445X",{"tldr":160,"method":161,"finding":162,"direction":78,"opportunity":163},"基于Sentinel-2和GIS分析印度拉贾斯坦邦干旱区2017-2024年土地利用\u002F覆盖变化。","Sentinel-2 10m影像与GIS分类，采用分类后比较法检测LULC变化。","荒地减少52.21 km²，农业增加86.62 km²，建设用地翻倍，水资源面积小。","可结合多源遥感与机器学习，在数据稀疏干旱区开展高精度LULC动态监测与驱动机制研究。","2026-10-01T23:30:29.277138Z",{"id":166,"title":167,"url":168,"summary":169,"summary_zh":170,"content":9,"source_name":171,"source_url":168,"published_at":172,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":173,"sources":175,"tags":177,"primary_topic":180,"secondary_topics":181,"classification":182,"search_phrases":207,"slug":210,"view_count":211,"doi":212,"paper":213,"created_at":224},2060,"Land use transformation and urban heat dynamics in India’s world heritage cities Jaipur and Ahmedabad","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs44327-026-00361-6","The rapid growth of cities as a result of urbanization has caused immense changes to land-use\u002Fland-cover (LU\u002FLC) patterns and urban thermal environments within Indian cities, especially in semi-arid regions. Urban growth dramatically affects World Heritage Cities (WHC) designated by UNESCO and has the potential to negatively affect environmental sustainability and the conservation of cultural heritage. Thus, this study presents a structured comparative narrative review of LU\u002FLC transformation and urban heat dynamics in Jaipur and Ahmedabad, India. Literature published between 2000 and 2025 was identified from major scientific literature databases and used in a comparative synthesis of urban growth patterns, research methodology, and environmental consequences. The results of the review indicate considerable growth of built-up areas of each city at the expense of agricultural land, vegetation, and open spaces. Ahmedabad had greater than 130% growth of built-up area from 1990 to 2019 while Jaipur experienced considerable directional urban expansion and increased land surface temperatures (LST). Most of the studies utilized remote sensing and GIS methods using Landsat and IRS data sets; the study of Ahmedabad represented a greater methodological advancement through use of CA-Markov and ANN urban growth model methodologies than that of Jaipur which was mostly retrospective, with few predictive modeling studies. Results of the study reveal that there is a strong connection between land use\u002Fland cover changes and the heat dynamics of an urban area, resulting in increased thermal stress, more vulnerable(e.g.) to climate change; and There will be growing pressures on these cities to sustain their cultural and architectural heritage (including all things associated with the built environment). Consequently, climate resilient and heritage sensitive urban planning strategies must be implemented in semi-arid World Heritage Cities of India.","城市化推动的城市快速扩张，使印度城市尤其是半干旱地区的土地利用\u002F土地覆盖（LU\u002FLC）格局和城市热环境发生了巨大变化。城市增长对联合国教科文组织指定的世界遗产城市（WHC）产生了显著影响，并可能对环境的可持续性和文化遗产保护造成负面影响。因此，本研究对印度斋浦尔和艾哈迈达巴德两座城市的LU\u002FLC转变与城市热动态进行了结构化的比较性叙述综述。研究从主要科学文献数据库中检索了2000年至2025年间发表的文献，并用于城市增长模式、研究方法和环境影响的比较综合。综述结果表明，两座城市的建成区均大幅扩张，侵占了农业用地、植被和开敞空间。1990年至2019年间，艾哈迈达巴德的建成区增长率超过130%，而斋浦尔则经历了显著的方向性城市扩张和地表温度（LST）升高。大多数研究采用遥感和GIS方法，使用Landsat和IRS数据集；艾哈迈达巴德的研究在方法论上更为先进，采用了CA-Markov和ANN城市增长模型方法，而斋浦尔的研究多为回顾性分析，预测建模研究较少。研究结果揭示，土地利用\u002F土地覆盖变化与城市区域的热动态之间存在密切关联，导致热胁迫加剧，使城市在气候变化面前更加脆弱；同时，这些城市在维持其文化和建筑遗产（包括与建成环境相关的所有事物）方面将面临日益增大的压力。因此，必须在印度半干旱世界遗产城市中实施气候韧性和遗产敏感的城市规划策略。","Discover Cities","2026-09-09T00:00:00Z",{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":174},"研究印度世界遗产城市土地利用与城市热动态，属城市环境与遗产保护领域，与三农、农业信息化、智慧农业无关，不建议进入每日精选。",[176],{"name":171,"url":168},[22,23,178,179],"城市热岛","世界遗产城市",{"code":26,"slug":27,"name":28,"path":29,"parent_code":30},[],{"status":33,"locked":14,"version":34,"method":35,"evidence":183},{"candidates":184,"agricultural_evidence":40},[185,189,193,197,203],{"code":26,"score":121,"supported":40,"title":186,"abstract":187,"tags":188},[],[117,43,118],[],{"code":52,"score":129,"supported":40,"title":190,"abstract":191,"tags":192},[],[132,133],[22],{"code":106,"score":137,"supported":40,"title":194,"abstract":195,"tags":196},[],[125],[],{"code":198,"score":137,"supported":40,"title":199,"abstract":200,"tags":202},"I7",[],[201],"研究方法",[],{"code":46,"score":47,"supported":14,"title":204,"abstract":205,"tags":206},[],[],[23],[208,209],"世界遗产城市 土地利用 城市热岛 遥感监测","世界遗产城市 土地利用","世界遗产城市土地利用城市热岛遥感监测-2060",2,"10.1007\u002Fs44327-026-00361-6",{"doi":212,"openalex_id":214,"authors":215,"venue":171,"cited_by_count":15,"oa_url":168,"card":219,"direction":78,"ingested_from":79},"W7212052957",[216],{"name":217,"orcid":218},"Parag Jyoti Kashyap","https:\u002F\u002Forcid.org\u002F0000-0003-4273-841X",{"tldr":220,"method":221,"finding":222,"direction":78,"opportunity":223},"综述印度两座世界遗产城市2000-2025年土地利用变化与城市热动态。","基于Landsat\u002FIRS遥感与GIS，结合CA-Markov和ANN城市增长模","建设用地侵占农地与绿地，地表温度上升，热胁迫加剧，威胁文化遗产。","可拓展遥感与预测模型结合，研究遗产城市热环境与农业用地保护的协同规划。","2026-09-10T23:30:27.930226Z",{"id":226,"title":227,"url":228,"summary":229,"summary_zh":230,"content":9,"source_name":231,"source_url":228,"published_at":232,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":233,"score_detail":234,"sources":239,"tags":241,"primary_topic":245,"secondary_topics":246,"classification":256,"search_phrases":309,"slug":312,"view_count":15,"doi":313,"paper":314,"created_at":337},5483,"Soil Salinity under Climate Change in Pakistan: Emerging Challenges and Sustainable Management Approaches for Agriculture","https:\u002F\u002Fdoi.org\u002F10.71317\u002Fkjard.2.10.2026.883","Soil salinity is a major constraint to agricultural productivity, soil health, and food security in Pakistan, particularly under changing climatic conditions. Rising temperatures, increased evapotranspiration, irregular precipitation, droughts, flooding, and sea-level rise can intensify salt accumulation and alter soil–water interactions. This review examines the emerging challenges associated with climate change and soil salinity in Pakistan, focusing on their impacts on soil properties, crop physiology, agricultural production, and rural livelihoods. It discusses the mechanisms of soil salinity and sodicity, their spatial distribution, and the interactions among climate variability, irrigation practices, groundwater quality, and secondary salinization. Furthermore, sustainable management approaches are evaluated, including gypsum application, organic amendments, integrated nutrient management, efficient irrigation, drainage improvement, and appropriate leaching strategies. Climate-resilient approaches, such as conventional crop breeding, modern biotechnology, halophyte utilization, plant growth-promoting microorganisms, and mycorrhizal associations, are also explored. The review highlights the potential of remote sensing, geographic information systems, precision agriculture, and predictive modelling to support salinity monitoring and site-specific management. Despite these opportunities, important challenges remain, including insufficient long-term monitoring, limited region-specific data, economic constraints, and gaps in farmer awareness and institutional coordination. Addressing these challenges requires integrated research, effective agricultural policies, improved extension services, and collaboration among researchers, policymakers, and farming communities. Prioritizing locally adapted, economically feasible, and environmentally sustainable interventions can strengthen agricultural resilience, restore salt-affected soils, and protect freshwater resources. Overall, integrating climate adaptation with sustainable soil and water management is essential for maintaining agricultural productivity and improving long-term food security in Pakistan.","土壤盐渍化是制约巴基斯坦农业生产力、土壤健康和粮食安全的主要因素，在气候变化条件下尤为突出。气温升高、蒸散加剧、降水不规律、干旱、洪水以及海平面上升可能加剧盐分积累并改变土壤—水相互作用。本文综述了巴基斯坦气候变化与土壤盐渍化相关的新兴挑战，重点关注其对土壤性质、作物生理、农业生产和农村生计的影响。文章讨论了土壤盐渍化和钠质化的机制、其空间分布，以及气候变率、灌溉实践、地下水质量和次生盐渍化之间的相互作用。此外，评估了可持续管理途径，包括施用石膏、有机改良、综合养分管理、高效灌溉、排水改良和适宜的淋洗策略。还探讨了气候韧性方法，如常规作物育种、现代生物技术、盐生植物利用、植物促生微生物和菌根共生。本文强调了遥感、地理信息系统、精准农业和预测建模在支持盐渍化监测和因地制宜管理方面的潜力。尽管存在这些机遇，重要挑战依然存在，包括长期监测不足、区域特定数据有限、经济制约以及农民意识和制度协调方面的差距。应对这些挑战需要综合研究、有效的农业政策、改进的推广服务以及研究人员、政策制定者和农业社区之间的协作。优先采取适应当地、经济可行且环境可持续的干预措施，可增强农业韧性、修复盐渍化土壤并保护淡水资源。总体而言，将气候适应与可持续水土管理相结合，对于维持巴基斯坦农业生产力和改善长期粮食安全至关重要。","Kashmir Journal of Academic Research and Development","2026-10-20T00:00:00Z",66,{"impact":235,"substance":94,"depth":236,"authority":237,"freshness":96,"relevant":47,"comment":238},13,15,12,"综述性论文，系统梳理气候变化下巴基斯坦土壤盐渍化成因与可持续治理路径，兼具遥感与精准农业视角，对盐碱地治理议题有参考价值，但属区域性综述、非突破性成果。",[240],{"name":231,"url":228},[117,242,22,243,244],"盐碱地治理","智慧灌溉","土壤盐渍化",{"code":26,"slug":27,"name":28,"path":29,"parent_code":30},[247,252],{"code":248,"slug":249,"name":250,"path":251,"parent_code":30},"H2","soil","土壤健康与改良","\u002Ftopic\u002Fenvironment\u002Fsoil",{"code":136,"slug":253,"name":254,"path":255,"parent_code":30},"irrigation","水资源与灌溉","\u002Ftopic\u002Fenvironment\u002Firrigation",{"status":33,"locked":14,"version":34,"method":35,"evidence":257},{"candidates":258,"agricultural_evidence":40},[259,264,269,275,279,286,293,297,303],{"code":26,"score":94,"supported":40,"title":260,"abstract":261,"tags":263},[118],[117,262,43,118],"气候适应",[117],{"code":248,"score":236,"supported":40,"title":265,"abstract":266,"tags":268},[249],[267,249],"土壤",[242],{"code":136,"score":13,"supported":40,"title":270,"abstract":271,"tags":274},[],[272,140,253,273],"灌溉","evapotranspiration",[243],{"code":52,"score":129,"supported":40,"title":276,"abstract":277,"tags":278},[],[132,133],[22],{"code":280,"score":82,"supported":40,"title":281,"abstract":282,"tags":285},"A8",[],[283,284],"粮食安全","food security",[],{"code":287,"score":82,"supported":40,"title":288,"abstract":289,"tags":292},"I1",[],[290,291],"精准农业","precision agriculture",[],{"code":106,"score":82,"supported":40,"title":294,"abstract":295,"tags":296},[],[124,126],[],{"code":298,"score":137,"supported":40,"title":299,"abstract":300,"tags":302},"F3",[],[301],"养分管理",[],{"code":304,"score":137,"supported":40,"title":305,"abstract":306,"tags":308},"J1",[],[307],"农业政策",[],[310,311],"巴基斯坦 土壤盐渍化","盐碱地 遥感监测","巴基斯坦土壤盐渍化-5483","10.71317\u002Fkjard.2.10.2026.883",{"doi":313,"openalex_id":315,"authors":316,"venue":231,"cited_by_count":15,"oa_url":228,"card":332,"direction":78,"ingested_from":79},"W7222999158",[317,319,321,323,325,327,330],{"name":318,"orcid":9},"Asifa Naz",{"name":320,"orcid":9},"Muhammad Abu Baker Siddiq",{"name":322,"orcid":9},"Syed Asghar Hussain Shah",{"name":324,"orcid":9},"Shahrish Nawaz",{"name":326,"orcid":9},"Muhmmad Irfan",{"name":328,"orcid":329},"Rizwana Kausar","https:\u002F\u002Forcid.org\u002F0000-0002-1339-3312",{"name":331,"orcid":9},"Muhammad Nouman Khalid",{"tldr":333,"method":334,"finding":335,"direction":78,"opportunity":336},"综述气候变化下巴基斯坦土壤盐渍化的挑战与可持续管理途径。","文献综述，整合盐渍化机制、空间分布及遥感GIS与预测模型应用。","需将气候适应与水土管理结合，优先本地化、经济可行的干预措施。","可填补长期盐渍化监测与区域数据空白，发展遥感+预测模型的精准分区治理。","2026-10-21T23:30:23.059448Z",{"id":339,"title":340,"url":341,"summary":342,"summary_zh":343,"content":9,"source_name":344,"source_url":341,"published_at":232,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":345,"score_detail":346,"sources":349,"tags":351,"primary_topic":356,"secondary_topics":357,"classification":358,"search_phrases":390,"slug":393,"view_count":15,"doi":394,"paper":395,"created_at":408},5476,"Digital Transformation of Haryana Agriculture: Strengthening Climate Resilience and Advancing the Sustainable Development Goals","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23491288","Climate change has surfaced as one of the most pivotal challenges confronting the agricultural sector, especially in agrarian regions vulnerable to resource degradation, water scarcity, and climate uncertainties. Haryana, a leading agricultural state in India, has faced significant environmental pressures in recent years, including declining groundwater levels, erratic rainfall patterns, rising temperatures, and soil degradation, necessitating the adoption of climate-resilient agricultural strategies. Against this backdrop, Information and Communication Technology has gained considerable importance as a transformative mechanism for strengthening agricultural sustainability, adaptive capacity, and informed decision-making among farmers. ICT-enabled interventions such as mobile-based advisory services, precision farming technologies, digital marketplaces, weather forecasting systems, remote sensing, and various e-governance platforms have increasingly contributed to improving agricultural efficiency and resilience. The present study aims to evaluate the role of ICT-enabled agricultural practices in Haryana and their contribution to climate resilience and to achieve the Sustainable Development Goals. This study applies a descriptive and analytical approach, drawing on secondary data and narrative review methodology. The study utilizes secondary data from government reports, policy documents, research articles, institutional publications, and international development reports on digital agriculture, climate change, and sustainable development, published between 2016 and 2026. The findings indicate that ICT-based agricultural innovations have substantially enhanced access to climate information, improved resource-use efficiency, increased market connectivity, and enabled adaptive agricultural management practices. Furthermore, ICT interventions have significant potential to support SDG 2: Zero Hunger, SDG 9: Industry, Innovation and Infrastructure, and SDG 13: Climate Action. However, challenges such as digital illiteracy, infrastructural disparities, limited technological accessibility among smallholders, and inadequate institutional support continue to hinder widespread adoption. The study emphasizes the need for inclusive digital policies, strengthened rural ICT infrastructure, farmer-centric skill development, and integrated climate-smart agricultural frameworks to facilitate sustainable, resilient agricultural development in Haryana.","气候变化已成为农业部门面临的最关键挑战之一，在易受资源退化、水资源短缺和气候不确定性影响的农业区域尤为如此。哈里亚纳邦是印度领先的农业邦，近年来面临显著的环境压力，包括地下水位下降、降雨模式不稳定、气温上升和土壤退化，因而亟需采取气候韧性农业策略。在此背景下，信息与通信技术（ICT）作为增强农业可持续性、适应能力以及农民知情决策的变革性机制，其重要性日益凸显。基于ICT的干预措施，如移动端咨询服务、精准农业技术、数字市场、天气预报系统、遥感以及各类电子治理平台，已日益为提升农业效率和韧性作出贡献。本研究旨在评估哈里亚纳邦基于ICT的农业实践所发挥的作用及其对气候韧性和实现可持续发展目标的贡献。本研究采用描述性与分析性方法，依托二手数据和叙述性综述方法。研究使用的二手数据来源于2016年至2026年间发布的政府报告、政策文件、研究论文、机构出版物以及关于数字农业、气候变化和可持续发展的国际发展报告。研究结果表明，基于ICT的农业创新大幅提升了气候信息的获取能力，改善了资源利用效率，增强了市场连通性，并促成了适应性农业管理实践。此外，ICT干预措施在支持可持续发展目标2：零饥饿、目标9：产业、创新和基础设施以及目标13：气候行动方面具有显著潜力。然而，数字文盲、基础设施差距、小农户技术可及性有限以及机构支持不足等挑战仍阻碍其广泛采用。研究强调，需要制定包容性数字政策、加强农村ICT基础设施、开展以农民为中心的技能培养以及构建综合气候智慧型农业框架，以促进哈里亚纳邦可持续且具有韧性的农业发展。","Zenodo (CERN European Organization for Nuclear Research)",70,{"impact":347,"substance":94,"depth":236,"authority":237,"freshness":121,"relevant":47,"comment":348},16,"基于二手数据的综述性研究，系统梳理印度哈里亚纳邦ICT农业与气候韧性、SDGs的关系，结论可靠但方法新颖性一般，对国内智慧农业与气候适应有参考价值。",[350],{"name":344,"url":341},[352,353,354,21,355],"数字农业","智慧农业","可持续发展","农业ICT",{"code":26,"slug":27,"name":28,"path":29,"parent_code":30},[],{"status":33,"locked":14,"version":34,"method":35,"evidence":359},{"candidates":360,"agricultural_evidence":40},[361,366,372,376,380,386],{"code":26,"score":94,"supported":40,"title":362,"abstract":364,"tags":365},[363],"climate resilience",[117,118,363],[21],{"code":287,"score":367,"supported":40,"title":368,"abstract":369,"tags":371},11,[],[290,352,370],"digital agriculture",[352,353],{"code":248,"score":82,"supported":40,"title":373,"abstract":374,"tags":375},[],[267,249],[],{"code":52,"score":82,"supported":40,"title":377,"abstract":378,"tags":379},[],[132,133],[],{"code":381,"score":137,"supported":40,"title":382,"abstract":383,"tags":385},"G2",[],[384],"小农户",[],{"code":136,"score":137,"supported":40,"title":387,"abstract":388,"tags":389},[],[140],[],[391,392],"Haryana 数字化转型","ICT 气候韧性","Haryana数字化转型-5476","10.5281\u002Fzenodo.23491288",{"doi":394,"openalex_id":396,"authors":397,"venue":344,"cited_by_count":15,"oa_url":341,"card":402,"direction":407,"ingested_from":79},"W7223011965",[398,400],{"name":399,"orcid":9},"Himani Rathi",{"name":401,"orcid":9},"Pardeep Kumar Duhan",{"tldr":403,"method":404,"finding":405,"direction":76,"opportunity":406},"评估印度哈里亚纳邦ICT农业实践对气候韧性与可持续发展目标的贡献。","描述性与分析性方法，基于2016-2026年政府报告等二手数据与叙事综述。","ICT显著提升气候信息获取、资源效率与市场连接，助力SDG 2\u002F9\u002F13，但数字素养与基础设施不足制","可研究小农户数字素养与ICT采纳门槛的实证机制，及包容性数字政策在气候智慧农业中的落地路径。","智慧农业 \u002F 农业物联网","2026-10-21T23:30:08.814085Z",{"id":410,"title":411,"url":412,"summary":413,"summary_zh":414,"content":9,"source_name":415,"source_url":412,"published_at":416,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":417,"sources":419,"tags":421,"primary_topic":424,"secondary_topics":428,"classification":431,"search_phrases":447,"slug":450,"view_count":15,"doi":451,"paper":452,"created_at":464},5326,"Flood Hazard and Vulnerability Assessment of Chitrakoot District, Uttar Pradesh: An Integrated Geographical, GIS and Remote Sensing Approach","https:\u002F\u002Fdoi.org\u002F10.36948\u002Fijfmr.2026.v08i05.89708","Flood is one of the most important hydro-meteorological hazards affecting human settlements, agriculture, infrastructure and regional economies. Chitrakoot district of Uttar Pradesh presents a distinctive case of hydro-climatic vulnerability because it belongs to the drought-prone Bundelkhand region but simultaneously experiences recurrent riverine and flash-flood conditions during intense monsoon rainfall. The present study assesses the spatial characteristics and determinants of flood hazard and vulnerability in Chitrakoot district using an integrated geographical, GIS and remote sensing approach. The analysis incorporates the Digital Elevation Model (DEM), drainage network, physiography, river proximity, historical flood information, satellite-based flood observations and socio-economic exposure. The district's DEM indicates a marked elevation gradient, approximately from 66 m to 451 m, with relatively higher terrain in the southern part and lower terrain towards the northern Yamuna valley. This topographic configuration facilitates rapid surface runoff from elevated southern terrain towards comparatively low-lying riverine areas. The drainage system is dominated by the Yamuna and Mandakini\u002FPaisuni systems along with Baghain, Gunta, Bardaha and smaller tributaries. The Uttar Pradesh Flood Hazard Atlas identifies 5,114 ha of flood-hazard area in Chitrakoot for 1998–2020, of which 4,129 ha (81%) falls in the very-low hazard category and 985 ha (19%) in the low-hazard category. However, the historical classification does not fully represent the potential consequences of extreme rainfall events. The August 2026 flood provides compelling evidence: the Mandakini at Chitrakoot reached a reported new high flood level of 145.60 m on 29 August 2026, approximately 2.95 m above the previous reported high level, while the water level rose by about 7.5 m within six hours. The study concludes that flood risk in Chitrakoot is spatially concentrated around river corridors, low-elevation areas, floodplains, agricultural land, settlements and tourism infrastructure. A shift from conventional relief-oriented flood management towards integrated floodplain regulation, watershed management, GIS-based risk zonation, real-time monitoring and community-based preparedness is therefore essential.","洪水是影响人类住区、农业、基础设施和区域经济的最重要的水文气象灾害之一。北方邦吉德古德（Chitrakoot）县在水文气候脆弱性方面呈现出独特案例，因为它属于易受干旱影响的本德尔坎德（Bundelkhand）地区，但同时在强季风降雨期间反复遭遇河流洪水和山洪状况。本研究采用地理学、地理信息系统（GIS）和遥感相结合的综合方法，评估吉德古德县洪水灾害与脆弱性的空间特征及其决定因素。分析纳入了数字高程模型（DEM）、河网、地貌、距河流远近、历史洪水信息、基于卫星的洪水观测以及社会经济暴露度。该县的DEM显示出明显的高程梯度，大约从66米到451米，南部地形相对较高，向北部的亚穆纳（Yamuna）河谷地势降低。这种地形格局促使地表径流从较高的南部地形快速流向相对低洼的河流区域。排水系统以亚穆纳河和曼达基尼\u002F派苏尼（Mandakini\u002FPaisuni）水系为主，另有巴盖恩（Baghain）、贡塔（Gunta）、巴尔达哈（Bardaha）及较小支流。北方邦洪水灾害图集确认，1998—2020年吉德古德县洪水灾害面积为5，114公顷，其中4，129公顷（81%）属于极低灾害类别，985公顷（19%）属于低灾害类别。然而，历史分类并不能充分反映极端降雨事件的潜在后果。2026年8月的洪水提供了有力证据：据报道，2026年8月29日吉德古德的曼达基尼河达到145.60米的新高洪水位，比此前报告的高水位高出约2.95米，而水位在六小时内上升了约7.5米。研究得出结论，吉德古德的洪水风险在空间上集中于河流廊道、低海拔地区、洪泛平原、农业用地、住区和旅游基础设施周围。因此，必须从传统的以救济为导向的洪水管理转向洪泛平原综合调控、流域管理、基于GIS的风险区划、实时监测和社区为基础的备灾。","International Journal For Multidisciplinary Research","2026-10-17T00:00:00Z",{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":418},"该研究聚焦印度北方邦的洪水灾害评估，虽涉及GIS与遥感方法，但与三农、农业信息化、智慧农业等主题无直接关联，不建议进入每日精选。",[420],{"name":415,"url":412},[422,22,423,102],"防灾减灾","洪水风险评估",{"code":52,"slug":425,"name":426,"path":427,"parent_code":110},"remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing",[429,430],{"code":106,"slug":107,"name":108,"path":109,"parent_code":110},{"code":26,"slug":27,"name":28,"path":29,"parent_code":30},{"status":33,"locked":14,"version":34,"method":35,"evidence":432},{"candidates":433,"agricultural_evidence":40},[434,438,442],{"code":52,"score":236,"supported":40,"title":435,"abstract":436,"tags":437},[133],[132,133],[22],{"code":106,"score":95,"supported":40,"title":439,"abstract":440,"tags":441},[125],[124,125],[],{"code":26,"score":96,"supported":40,"title":443,"abstract":444,"tags":446},[],[43,445],"drought",[423,422],[448,449],"Chitrakoot 洪水风险 GIS","Yamuna 洪水脆弱性 遥感","Chitrakoot洪水风险GIS-5326","10.36948\u002Fijfmr.2026.v08i05.89708",{"doi":451,"openalex_id":453,"authors":454,"venue":415,"cited_by_count":15,"oa_url":458,"card":459,"direction":78,"ingested_from":79},"W7222885988",[455],{"name":456,"orcid":457},"Birendra Yadav","https:\u002F\u002Forcid.org\u002F0009-0007-0864-474X","https:\u002F\u002Fwww.ijfmr.com\u002Fpapers\u002F2026\u002F5\u002F89708.pdf",{"tldr":460,"method":461,"finding":462,"direction":78,"opportunity":463},"用GIS与遥感综合评估Chitrakoot区洪水灾害与脆弱性空间分布。","DEM、河网、历史洪水与卫星观测及社会经济数据叠加分析。","洪水风险集中于河谷低地、农田与居民点，历史分级低估极端降雨风险。","可结合时序遥感与水文模型，构建极端降雨情景下的农田洪涝风险动态制图与预警。","2026-10-19T23:30:24.356743Z",{"id":466,"title":467,"url":468,"summary":469,"summary_zh":470,"content":9,"source_name":471,"source_url":468,"published_at":472,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":473,"score_detail":474,"sources":477,"tags":479,"primary_topic":483,"secondary_topics":484,"classification":485,"search_phrases":500,"slug":503,"view_count":15,"doi":504,"paper":505,"created_at":527},5172,"Forest green-up in the Pearl River Basin: trends, driving factors, and relationships with net primary productivity","https:\u002F\u002Fdoi.org\u002F10.1080\u002F17538947.2026.2738487","The spring green-up date (GUD), a critical indicator of ecosystem response to climate change, profoundly influences terrestrial productivity. However, the complex drivers of GUD remain elusive, while the contentious relationship between GUD and net primary productivity (NPP) challenges the universal validity of the hypothesis that earlier green-up enhances productivity. Using MODIS NDVI data (2000-2020), we quantified forest GUD dynamics in the Pearl River Basin and combined random forest, SHAP, and structural equation modelling to identify drivers and assess GUD-NPP relationships. GUD was advanced by approximately 5 days, with 81.8% of forestland pixels advancing and 18.2% delaying. Only 5.39% of advances showed significant trends, whereas 30.45% of delays were concentrated near croplands and developed areas. The random forest model explained 58.2% of GUD variation. Elevation, precipitation, and soil potassium and phosphorus were dominant; elevation-induced thermal gradients outweighed ambient temperature effects, with elevations above 1,200 m exhibiting markedly delayed GUD. Spatially, GUD had a positive correlation with NPP, indicating that later GUD was associated with higher forest NPP, possibly because of early-spring cold snaps and frost. Temporally, areas with stronger GUD delays tended to show greater NPP increases. This study identified key controls on subtropical forest phenology and revealed a GUD-NPP trade-off.","春季返青期（GUD）是生态系统响应气候变化的关键指标，深刻影响陆地生产力。然而，GUD的复杂驱动机制仍不明确，且GUD与净初级生产力（NPP）之间存在争议性关系，挑战了“提前返青提高生产力”这一假说的普适性。本研究利用MODIS NDVI数据（2000—2020年），量化了珠江流域森林GUD动态，并结合随机森林、SHAP和结构方程模型识别驱动因子并评估GUD-NPP关系。GUD整体提前约5天，其中81.8%的林地像元提前、18.2%推迟。仅5.39%的提前像元呈显著趋势，而30.45%的推迟像元集中在农田和建成区附近。随机森林模型解释了58.2%的GUD变异。海拔、降水以及土壤钾和磷为主导因子；海拔引起的热梯度效应超过环境温度的影响，海拔1200 m以上区域GUD显著推迟。空间上，GUD与NPP呈正相关，表明GUD越晚森林NPP越高，这可能与早春寒潮和霜冻有关。时间上，GUD推迟越强的区域往往表现为NPP增加越大。本研究识别了亚热带森林物候的关键控制因子，揭示了GUD-NPP之间的权衡关系。","International Journal of Digital Earth","2026-10-15T00:00:00Z",74,{"impact":237,"substance":475,"depth":94,"authority":95,"freshness":96,"relevant":47,"comment":476},22,"基于MODIS长时序数据的区域森林物候研究，方法组合新颖、结论有增量，但属区域基础研究，产业与政策影响有限，可作专业补充而非每日精选头条。",[478],{"name":471,"url":468},[117,22,480,481,482],"植被生产力","森林物候","珠江流域",{"code":26,"slug":27,"name":28,"path":29,"parent_code":30},[],{"status":33,"locked":14,"version":34,"method":35,"evidence":486},{"candidates":487,"agricultural_evidence":40},[488,492,496],{"code":26,"score":129,"supported":40,"title":489,"abstract":490,"tags":491},[],[117,118],[117],{"code":248,"score":82,"supported":40,"title":493,"abstract":494,"tags":495},[],[267,249],[],{"code":52,"score":47,"supported":14,"title":497,"abstract":498,"tags":499},[],[],[22],[501,502],"珠江流域 森林 返青期","MODIS NDVI 植被生产力","珠江流域森林返青期-5172","10.1080\u002F17538947.2026.2738487",{"doi":504,"openalex_id":506,"authors":507,"venue":471,"cited_by_count":15,"oa_url":521,"card":522,"direction":78,"ingested_from":79},"W7221897424",[508,511,513,515,517,519],{"name":509,"orcid":510},"Shijie Yang","https:\u002F\u002Forcid.org\u002F0009-0001-7573-5509",{"name":512,"orcid":9},"Zhaoju Zheng",{"name":514,"orcid":9},"Xueming Zhao",{"name":516,"orcid":9},"Zhipeng Zhang",{"name":518,"orcid":9},"Xiaohui Cui",{"name":520,"orcid":9},"Yuan Zeng","https:\u002F\u002Fwww.tandfonline.com\u002Fdoi\u002Fpdf\u002F10.1080\u002F17538947.2026.2738487?needAccess=true",{"tldr":523,"method":524,"finding":525,"direction":78,"opportunity":526},"基于MODIS NDVI量化珠江流域森林返青期动态，并解析其驱动因子及与NPP的关系。","MODIS NDVI（2000-2020）、随机森林、SHAP与结构方程模型。","返青期整体提前约5天，但延迟区NPP更高，揭示返青期与NPP的权衡关系。","可探究早春寒潮霜冻对返青-NPP权衡的调控机制，并拓展至其他亚热带流域验证普适性。","2026-10-17T23:30:29.750744Z"]