[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-5169":3,"related-5169":94},{"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":9,"secondary_topics":24,"classification":25,"search_phrases":55,"slug":58,"view_count":15,"doi":59,"paper":60,"created_at":93},5169,"A multi-scale framework for identifying and validating managed aquifer recharge sites in semi-arid Kazakhstan","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffrwa.2026.1932313","Managed Aquifer Recharge (MAR) has emerged as an effective approach for enhancing groundwater resources in water-scarce regions under increasing climate variability and growing water demand. However, most GIS-based MAR studies are limited to regional suitability mapping, whereas the hydrogeological feasibility of identified sites is rarely verified under field conditions. This study presents a multi-scale framework integrating regional GIS-based screening with detailed site-scale verification to improve the reliability of MAR suitability assessment in southeastern Kazakhstan. This research was conducted within the Zhetysu Alatau–Balkhash First-Order Hydrogeological Basin to develop and evaluate a multi-scale framework for identifying suitable MAR sites. Regional suitability assessment combined Geographic Information Systems (GIS), the Analytic Hierarchy Process (AHP), Monte Carlo simulation, Fuzzy Gamma analysis, remote sensing, and regional hydrochemical data. Based on the regional assessment, the Byzhy River Basin was selected as a representative site for detailed hydrological, hydrogeological, hydrochemical, LiDAR-based, and field investigations to verify regional suitability under actual hydrogeological conditions. The regional suitability assessment identified 21.82% (58.41 km 2 ) of the representative study area as highly suitable for MAR, while Monte Carlo simulation and Fuzzy Gamma analysis confirmed the robustness of the suitability model. Hydrological assessment indicated a positive long-term mean potential water balance of 27.69 mm·year −1 , suggesting sufficient water resources for MAR. Three double-ring infiltration tests yielded a mean field-saturated hydraulic conductivity of 1.92 m·day −1 (range: 1.86–1.96 m·day −1 ), indicating high infiltration capacity of the Quaternary alluvial deposits. Groundwater mineralization remained below 1 g·L −1 , and hydrogeological investigations confirmed a 50 m thick Quaternary alluvial aquifer suitable for MAR. Long-term daily river discharge records indicated a potential annual recharge volume of 17.44 million m 3 , representing only 2.33% of the effective aquifer storage capacity (746.8 million m 3 ), demonstrating substantial storage potential. The close agreement between the regional suitability assessment and field investigations demonstrates that the multi-scale framework substantially reduces uncertainty in GIS-based MAR site identification. By integrating regional suitability mapping with hydrological, hydrogeological, hydrochemical, LiDAR, and field investigations, the framework provides a transferable methodology for identifying and verifying MAR sites in arid and semi-arid regions, supporting groundwater management and long-term water resource planning.","在气候变率加剧和水需求持续增长的背景下，管理含水层补给（Managed Aquifer Recharge, MAR）已成为增强缺水地区地下水资源的一种有效途径。然而，大多数基于GIS的MAR研究仅限于区域适宜性制图，而已识别场地的水文地质可行性鲜有在野外条件下得到验证。本研究提出了一种多尺度框架，将基于GIS的区域筛选与详细的场地尺度验证相结合，以提高哈萨克斯坦东南部MAR适宜性评估的可靠性。本研究在Zhetysu Alatau–Balkhash一级水文地质盆地内开展，旨在开发并评估用于识别适宜MAR场地的多尺度框架。区域适宜性评估综合了地理信息系统（GIS）、层次分析法（AHP）、蒙特卡洛模拟、模糊伽马分析、遥感以及区域水化学数据。基于区域评估结果，选取Byzhy河流域作为代表性场地，开展详细的水文、水文地质、水化学、基于LiDAR的以及野外调查，以在实际水文地质条件下验证区域适宜性。区域适宜性评估确定代表性研究区中有21.82%（58.41 km²）为高度适宜MAR区域，蒙特卡洛模拟和模糊伽马分析证实了适宜性模型的稳健性。水文评估表明长期平均潜在水量平衡为正值，达27.69 mm·年⁻¹，表明水资源足以支撑MAR。三次双环入渗试验得出的平均野外饱和导水率为1.92 m·天⁻¹（范围：1.86–1.96 m·天⁻¹），表明第四系冲积沉积物具有高入渗能力。地下水矿化度保持在1 g·L⁻¹以下，水文地质调查确认存在厚度为50 m的第四系冲积含水层，适宜开展MAR。长期日河流流量记录表明潜在年补给量为1744万m³，仅占有效含水层储水容量（74680万m³）的2.33%，显示出巨大的储水潜力。区域适宜性评估与野外调查之间的高度一致性表明，该多尺度框架大幅降低了基于GIS的MAR场地识别中的不确定性。通过将区域适宜性制图与水文",null,"Frontiers in Water","2026-10-16T00:00:00Z","论文",10,false,0,{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":17},"该研究聚焦哈萨克斯坦半干旱区地下水回灌选址，属于水文地质领域，与三农、农业信息化、智慧农业无直接关联，不建议进入每日精选。",[19],{"name":10,"url":6},[21,22,23],"遥感","水资源","地下水管理",[],{"status":26,"locked":14,"version":27,"method":28,"evidence":29},"needs_review","2026-10-22.2","rules",{"candidates":30,"agricultural_evidence":14,"reason":54},[31,41,48],{"code":32,"score":33,"supported":34,"title":35,"abstract":36,"tags":40},"I4",9,true,[],[37,38,39],"地理信息","GIS","geographic information",[],{"code":42,"score":43,"supported":34,"title":44,"abstract":45,"tags":47},"H3",7,[],[22,46],"water resource",[22],{"code":49,"score":43,"supported":34,"title":50,"abstract":51,"tags":53},"I3",[],[21,52],"remote sensing",[21],"农业相关性需要复核",[56,57],"哈萨克斯坦 地下水回灌","Zhetysu Alatau 含水层","哈萨克斯坦地下水回灌-5169","10.3389\u002Ffrwa.2026.1932313",{"doi":59,"openalex_id":61,"authors":62,"venue":10,"cited_by_count":15,"oa_url":84,"card":85,"direction":91,"ingested_from":92},"W7222733682",[63,66,69,72,75,78,81],{"name":64,"orcid":65},"Zhuldyzbek Onglassynov","https:\u002F\u002Forcid.org\u002F0000-0002-3587-5996",{"name":67,"orcid":68},"S. A. Kulbekova","https:\u002F\u002Forcid.org\u002F0000-0001-9796-7338",{"name":70,"orcid":71},"Raushan Amanzholova","https:\u002F\u002Forcid.org\u002F0000-0001-9129-1074",{"name":73,"orcid":74},"Aldiyar Abyshev","https:\u002F\u002Forcid.org\u002F0000-0001-9788-7485",{"name":76,"orcid":77},"Айгерим Алимгазина","https:\u002F\u002Forcid.org\u002F0009-0002-9966-5549",{"name":79,"orcid":80},"И.К. Рахметов","https:\u002F\u002Forcid.org\u002F0000-0002-6269-7734",{"name":82,"orcid":83},"Malis K. Absametov","https:\u002F\u002Forcid.org\u002F0000-0003-2520-6294","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fwater\u002Farticles\u002F10.3389\u002Ffrwa.2026.1932313\u002Fpdf",{"tldr":86,"method":87,"finding":88,"direction":89,"opportunity":90},"构建多尺度框架，结合GIS筛选与野外验证，识别哈萨克斯坦半干旱区地下水回补场地。","GIS-AHP、蒙特卡洛模拟、模糊伽马分析、遥感、LiDAR与野外入渗试验。","区域高适宜区占21.82%，野外验证入渗能力高、含水层厚50米，回补潜力大。","其他","可将多尺度“筛选—验证”范式迁移至农业区地下水回补与灌溉补水选址，结合作物需水与遥感蒸散。","农业遥感与作物表型","openalex","2026-10-17T23:30:28.555087Z",{"total":95,"page":96,"page_size":95,"items":97},6,1,[98,163,235,306,360,404],{"id":99,"title":100,"url":101,"summary":102,"summary_zh":103,"content":9,"source_name":104,"source_url":101,"published_at":105,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":106,"score_detail":107,"sources":113,"tags":115,"primary_topic":9,"secondary_topics":118,"classification":119,"search_phrases":142,"slug":145,"view_count":15,"doi":146,"paper":147,"created_at":162},5482,"A Conceptual Framework for Aquifer Delineation and Managed Aquifer Recharge in Deccan Trap Basaltic Terrain of Drought-Prone Area","https:\u002F\u002Fdoi.org\u002F10.71097\u002Fijaidr.v17.i2.2197","Drought-prone regions underlain by Deccan Trap basalt face persistent challenges in groundwater availability due to highly heterogeneous aquifer properties, limited natural recharge, variable fracture networks, and increasing groundwater demand. This study proposes a conceptual framework for aquifer delineation and Managed Aquifer Recharge (MAR) in basaltic terrain by integrating geological, hydrogeological, geophysical, topographical, and remote sensing information. The framework conceptualises aquifer systems through the identification of weathered zones, fractured basalt, vesicular horizons, joints, lineaments, and geological contacts that influence groundwater occurrence and movement. Spatial datasets are integrated within a Geographic Information System to delineate groundwater potential zones and identify suitable locations for MAR interventions. The proposed framework further links aquifer characteristics with recharge structures such as check dams, recharge shafts, percolation tanks, recharge trenches, and injection-based systems according to local hydrogeological conditions. Groundwater-level monitoring, aquifer response assessment, and periodic evaluation are incorporated to support adaptive recharge management. The framework provides a systematic basis for moving from aquifer characterization to site-specific recharge planning and monitoring. It can support sustainable groundwater management in drought-prone Deccan Trap landscapes by improving understanding of aquifer connectivity, recharge potential, and groundwater storage dynamics. The framework is particularly relevant for water-stressed regions where conventional groundwater development alone cannot ensure long-term water security.","以德干暗色岩玄武岩为基底的干旱易发地区，由于含水层特性高度非均质、天然补给有限、裂隙网络多变以及地下水需求不断增加，面临着地下水可获得性方面的持续挑战。本研究提出一个概念框架，通过整合地质、水文地质、地球物理、地形和遥感信息，在玄武岩地区进行含水层圈定与地下水人工补给（Managed Aquifer Recharge, MAR）。该框架通过识别影响地下水赋存与运动的风化带、裂隙玄武岩、气孔状层位、节理、线理和地质接触带，对含水层系统进行概念化。空间数据集在地理信息系统内进行整合，以圈定地下水潜力区并确定适合MAR干预的位置。所提出的框架进一步将含水层特征与补给结构（如拦水坝、补给井、渗滤池、补给沟和注入式系统）依据当地水文地质条件相联系。框架纳入了地下水位监测、含水层响应评估和定期评价，以支持适应性补给管理。该框架为从含水层表征转向特定场地的补给规划与监测提供了系统基础。通过增进对含水层连通性、补给潜力和地下水储存动态的理解，该框架可支持干旱易发德干暗色岩景观区的可持续地下水管理。该框架尤其适用于仅靠常规地下水开发无法确保长期水安全的水资源紧张地区。","Journal of Advances in Developmental Research","2026-10-19T00:00:00Z",49,{"impact":108,"substance":109,"depth":110,"authority":95,"freshness":111,"relevant":96,"comment":112},8,18,14,3,"该论文提出玄武岩地区含水层划分与地下水回补的概念框架，方法有一定参考价值，但属概念性研究、缺乏实证数据，且来源期刊影响力有限、时效偏旧，不宜进入每日精选。",[114],{"name":104,"url":101},[21,116,23,117],"干旱区农业","水资源安全",[],{"status":26,"locked":14,"version":27,"method":28,"evidence":120},{"candidates":121,"agricultural_evidence":14,"reason":54},[122,130,134,138],{"code":123,"score":124,"supported":34,"title":125,"abstract":127,"tags":129},"H7",15,[126],"drought",[128,126],"干旱",[116],{"code":49,"score":43,"supported":34,"title":131,"abstract":132,"tags":133},[],[21,52],[21],{"code":32,"score":95,"supported":34,"title":135,"abstract":136,"tags":137},[],[37,39],[],{"code":42,"score":111,"supported":34,"title":139,"abstract":140,"tags":141},[],[22],[],[143,144],"Deccan Trap 玄武岩 含水层","managed aquifer recharge 干旱区","DeccanTrap玄武岩含水层-5482","10.71097\u002Fijaidr.v17.i2.2197",{"doi":146,"openalex_id":148,"authors":149,"venue":104,"cited_by_count":15,"oa_url":155,"card":156,"direction":161,"ingested_from":92},"W7222957903",[150,153],{"name":151,"orcid":152},"Muneeb Ur Rahman","https:\u002F\u002Forcid.org\u002F0000-0001-9713-4598",{"name":154,"orcid":9},"K.M. Wanjarwadkar -","https:\u002F\u002Fwww.ijaidr.com\u002Fpapers\u002F2026\u002F2\u002F2197.pdf",{"tldr":157,"method":158,"finding":159,"direction":89,"opportunity":160},"提出整合多源信息的玄武岩地区含水层圈定与人工补给概念框架。","融合地质、水文地质、地球物理、地形与遥感数据，在GIS中集成分析。","框架可将含水层特征与补给设施匹配，支持自适应地下水管理。","可在中国玄武岩或干旱区验证该框架，并耦合遥感与AI提升补给选址精度。","智慧农业 \u002F 农业物联网","2026-10-21T23:30:11.716732Z",{"id":164,"title":165,"url":166,"summary":167,"summary_zh":168,"content":9,"source_name":169,"source_url":166,"published_at":170,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":171,"score_detail":172,"sources":175,"tags":177,"primary_topic":181,"secondary_topics":186,"classification":187,"search_phrases":214,"slug":217,"view_count":96,"doi":218,"paper":219,"created_at":234},2514,"Spatiotemporal Assessment of Land Use and Land Cover Change Effects on Eco- Hydroclimatic Conditions in Kiambu County, Kenya","https:\u002F\u002Fdoi.org\u002F10.54536\u002Fajgt.v5i1.8320","Increasing land-use transitions are major drivers of eco-hydroclimatic changes, particularly in rapidly growing urban areas. This study therefore sought to assess the spatiotemporal effects of land use changes on eco-hydroclimatic conditions in Kiambu County, utilizing remote sensing and Geographic Information Systems technologies. Landsat satellite imagery from 2004 and 2024 was used. Rainfall data, Land Surface Temperature (LST), and Normalized Difference Vegetation Index (NDVI) were used to assess variations in vegetation cover, thermal patterns, and precipitation trends. Land use and land cover maps were generated using supervised classification, and accuracy assessments were performed to validate the classified maps. Statistical analyses were conducted to examine the relationships between LULC dynamics and eco-hydroclimatic parameters. The findings showed a significant expansion of built-up areas, accompanied by declines in cultivated land, vegetation cover, and water bodies. These changes were associated with increased LST, reduced vegetation health, and alterations in rainfall patterns. The study further demonstrated that increased urbanization and substantial landscape changes have significantly affected the county’s eco-hydroclimatic conditions. These changes have significant implications for environmental sustainability, water resources, climate change adaptation and resilience, and land use planning at the county level. The findings are expected to provide evidence to support informed policy formulation and sustainable spatial planning aimed at enhancing ecological resilience in Kiambu County.","土地利用转变日益加剧是生态-水文气候发生变化的主要驱动因素，在快速扩张的城市地区尤为显著。因此，本研究旨在利用遥感与地理信息系统技术，评估基安布县土地利用变化对生态-水文气候条件的时空影响。研究使用了2004年和2024年的Landsat卫星影像，并采用降雨数据、地表温度（LST）和归一化植被指数（NDVI）来评估植被覆盖、热力格局和降水趋势的变化。通过监督分类生成土地利用与土地覆盖图，并进行精度评估以验证分类结果。研究还开展了统计分析，以检验土地利用与土地覆盖动态与生态-水文气候参数之间的关系。研究结果表明，建设用地显著扩张，同时耕地、植被覆盖和水体减少。这些变化与地表温度升高、植被健康状况下降以及降雨格局改变相关。研究进一步表明，城市化加剧和景观的显著变化已对该县的生态-水文气候条件产生了重大影响。这些变化对县域层面的环境可持续性、水资源、气候变化适应与韧性以及土地利用规划具有重要意义。研究结果有望为制定知情政策和可持续空间规划提供证据支持，以增强基安布县的生态韧性。","American Journal of Geospatial Technology","2026-09-14T00:00:00Z",62,{"impact":108,"substance":109,"depth":124,"authority":173,"freshness":108,"relevant":96,"comment":174},13,"基于Landsat遥感与GIS的县域土地利用变化对生态水文气候影响研究，方法规范、数据扎实，但属肯尼亚地方案例，对国内三农信息化参考价值有限。",[176],{"name":169,"url":166},[178,21,179,180,22],"气候变化","NDVI","土地利用",{"code":49,"slug":182,"name":183,"path":184,"parent_code":185},"remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing","I",[],{"status":188,"locked":14,"version":27,"method":28,"evidence":189},"classified",{"candidates":190,"agricultural_evidence":34},[191,195,200,204,209],{"code":49,"score":108,"supported":34,"title":192,"abstract":193,"tags":194},[],[21,52],[179,21],{"code":123,"score":43,"supported":34,"title":196,"abstract":197,"tags":199},[],[178,198],"climate change",[178],{"code":32,"score":95,"supported":34,"title":201,"abstract":202,"tags":203},[],[37,39],[],{"code":42,"score":205,"supported":34,"title":206,"abstract":207,"tags":208},4,[],[22],[22],{"code":210,"score":96,"supported":14,"title":211,"abstract":212,"tags":213},"H6",[],[],[180],[215,216],"土地利用 气候变化 水资源 遥感","土地利用 气候变化","土地利用气候变化水资源遥感-2514","10.54536\u002Fajgt.v5i1.8320",{"doi":218,"openalex_id":220,"authors":221,"venue":169,"cited_by_count":15,"oa_url":228,"card":229,"direction":161,"ingested_from":92},"W7212965144",[222,224,226],{"name":223,"orcid":9},"Pauline Angerlyline Wamalwa",{"name":225,"orcid":9},"Samson Mabwoga",{"name":227,"orcid":9},"Charity Konana","https:\u002F\u002Fjournals.e-palli.com\u002Fhome\u002Findex.php\u002Fajgt\u002Farticle\u002Fdownload\u002F8320\u002F4014",{"tldr":230,"method":231,"finding":232,"direction":91,"opportunity":233},"基于Landsat影像评估肯尼亚Kiambu县2004-2024年土地利用变化对生态水文气候的影响。","Landsat影像监督分类、NDVI、地表温度与降雨数据统计分析。","建设用地扩张导致耕地、植被和水体减少，地表温度升高、降雨格局改变。","可结合多源遥感与水文模型，量化城市化对农业区水热平衡的长期影响机制。","2026-09-15T23:30:08.755171Z",{"id":236,"title":237,"url":238,"summary":239,"summary_zh":240,"content":9,"source_name":241,"source_url":238,"published_at":242,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":243,"score_detail":244,"sources":248,"tags":250,"primary_topic":255,"secondary_topics":260,"classification":261,"search_phrases":289,"slug":292,"view_count":15,"doi":293,"paper":294,"created_at":305},5588,"Certified Temporal Fusion of Artificial Intelligence Climate Analytics for Crop Failure Early Warning Under Sparse Agricultural Sensors: Error Bounds and Famine Relief Targeting","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23545489","Sparse agricultural sensor networks across sub-Saharan Africa leave crop-failure early-warning systems with too little ground observation to support reliable famine relief targeting. The framework treats sensor sparsity as a missing-data problem with a known observation operator and propagates climate-analytics uncertainty through a temporal Kalman-Buys filter whose gain is constrained by a certified risk envelope. Using NASA POWER monthly reanalysis for Accra, Ghana (2000-2023, 312 observations), the analysis establishes a mean temperature of 26.521 C and a warming trend of 0.1622 C per decade, which calibrates the climate-analytics prior. The derived bounds show that relief-targeting error scales with the square root of sensor density and with the Lipschitz constant of the crop-response function, yielding an explicit sensor-placement rule for a target misclassification rate. The contribution is a certified, assumption-explicit bridge between climate analytics and famine relief targeting that states the conditions under which early warning is trustworthy.","撒哈拉以南非洲稀疏的农业传感器网络使得作物歉收预警系统缺乏足够的地面观测数据，难以支撑可靠的饥荒救援目标定位。该框架将传感器稀疏性视为具有已知观测算子的缺失数据问题，并通过时间Kalman-Buys滤波器传播气候分析不确定性，该滤波器的增益受经认证的风险包络约束。利用NASA POWER对加纳阿克拉的月度再分析数据（2000—2023年，312个观测值），分析确定了平均气温为26.521°C、每十年0.1622°C的增暖趋势，据此校准了气候分析先验。推导出的界限表明，救援目标定位误差随传感器密度的平方根以及作物响应函数的Lipschitz常数缩放，从而为目标误分类率给出了明确的传感器布设规则。该研究的贡献在于构建了一个经认证的、假设明确的气候分析与饥荒救援目标定位之间的桥梁，阐明了早期预警可信赖的条件。","Zenodo (CERN European Organization for Nuclear Research)","2026-10-21T00:00:00Z",74,{"impact":245,"substance":246,"depth":109,"authority":245,"freshness":13,"relevant":96,"comment":247},12,22,"该研究提出一种带误差界认证的时序融合方法，用于稀疏传感器条件下的作物歉收预警与饥荒救援瞄准，方法新颖、结论明确，但案例局限于加纳阿克拉，产业影响有限，适合作为技术前沿条目收录。",[249],{"name":241,"url":238},[251,252,253,21,254],"智慧农业","农业人工智能","粮食安全","气候分析",{"code":256,"slug":257,"name":258,"path":259,"parent_code":185},"I2","agricultural-ai","农业AI与大模型","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-ai",[],{"status":188,"locked":14,"version":27,"method":28,"evidence":262},{"candidates":263,"agricultural_evidence":34},[264,269,275,280,285],{"code":256,"score":33,"supported":34,"title":265,"abstract":267,"tags":268},[266],"artificial intelligence",[],[252],{"code":270,"score":111,"supported":34,"title":271,"abstract":272,"tags":274},"I5",[],[273],"农业传感",[],{"code":276,"score":96,"supported":14,"title":277,"abstract":278,"tags":279},"A8",[],[],[253],{"code":281,"score":96,"supported":14,"title":282,"abstract":283,"tags":284},"I1",[],[],[251],{"code":49,"score":96,"supported":14,"title":286,"abstract":287,"tags":288},[],[],[21],[290,291],"NASA POWER 加纳 气候分析","作物歉收 早期预警 传感器","NASAPOWER加纳气候分析-5588","10.5281\u002Fzenodo.23545489",{"doi":293,"openalex_id":295,"authors":296,"venue":241,"cited_by_count":15,"oa_url":238,"card":299,"direction":304,"ingested_from":92},"W7223111766",[297],{"name":298,"orcid":9},"Fatima-Zahra El Khattabi",{"tldr":300,"method":301,"finding":302,"direction":91,"opportunity":303},"提出带误差界的时间融合框架，在稀疏传感器下用气候分析预警作物歉收。","卡尔曼-布西滤波+NASA POWER再分析数据，风险包络约束增益。","救济瞄准误差随传感器密度平方根和作物响应Lipschitz常数缩放，给出布点规则。","可将该认证误差界框架扩展到多作物多区域，结合卫星遥感弥补地面传感器稀疏。","农业人工智能与决策模型","2026-10-22T11:21:02.682497Z",{"id":307,"title":308,"url":309,"summary":310,"summary_zh":9,"content":9,"source_name":311,"source_url":309,"published_at":242,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":312,"score_detail":313,"sources":315,"tags":317,"primary_topic":321,"secondary_topics":325,"classification":326,"search_phrases":338,"slug":341,"view_count":15,"doi":342,"paper":343,"created_at":359},5579,"A Composite Field-Evaluation Framework for Digital Agriculture Maps","https:\u002F\u002Fdoi.org\u002F10.21203\u002Frs.3.rs-11283264\u002Fv1","A Composite Field-Evaluation Framework for Digital Agriculture Maps。Research Square","Research Square",38,{"impact":108,"substance":95,"depth":108,"authority":95,"freshness":13,"relevant":96,"comment":314},"预印本提出数字农业地图的田间复合评估框架，方法有一定新意，但摘要信息极少、未经同行评审，公共影响有限，暂不宜进入每日精选。",[316],{"name":311,"url":309},[318,319,21,320],"数字农业","农业信息化","地图评估",{"code":281,"slug":322,"name":323,"path":324,"parent_code":185},"smart-agriculture","智慧农业总论","\u002Ftopic\u002Fdigital-agriculture\u002Fsmart-agriculture",[],{"status":188,"locked":14,"version":27,"method":28,"evidence":327},{"candidates":328,"agricultural_evidence":34},[329,334],{"code":281,"score":173,"supported":34,"title":330,"abstract":332,"tags":333},[331],"digital agriculture",[331],[319,318],{"code":49,"score":96,"supported":14,"title":335,"abstract":336,"tags":337},[],[],[21],[339,340],"Research Square 数字农业","农业信息化 地图评估 数字农业 遥感","ResearchSquare数字农业-5579","10.21203\u002Frs.3.rs-11283264\u002Fv1",{"doi":342,"openalex_id":344,"authors":345,"venue":311,"cited_by_count":15,"oa_url":309,"card":9,"direction":358,"ingested_from":92},"W7223099987",[346,349,352,355],{"name":347,"orcid":348},"Phillip Lanza","https:\u002F\u002Forcid.org\u002F0000-0002-5545-1744",{"name":350,"orcid":351},"David G. Rossiter","https:\u002F\u002Forcid.org\u002F0000-0003-4558-1286",{"name":353,"orcid":354},"Diana Stuart Sinton","https:\u002F\u002Forcid.org\u002F0000-0001-5828-9001",{"name":356,"orcid":357},"Louis Longchamps","https:\u002F\u002Forcid.org\u002F0000-0002-4761-6094","数字乡村与农业信息化","2026-10-22T11:20:47.463814Z",{"id":361,"title":362,"url":363,"summary":364,"summary_zh":365,"content":9,"source_name":366,"source_url":363,"published_at":367,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":368,"sources":370,"tags":372,"primary_topic":9,"secondary_topics":375,"classification":376,"search_phrases":383,"slug":386,"view_count":15,"doi":387,"paper":388,"created_at":403},5574,"Aggregation of results of automatic classification of remote sensing data of natural objects","https:\u002F\u002Fdoi.org\u002F10.31772\u002F2712-8970-2026-27-3-390-399","Methods for aggregating the results of automatic classification of multidimensional spectral remote sensing data are proposed. This task is accomplished using a modified «Forel» algorithm and a procedure for testing the hypothesis of the homogeneity of the distribution laws of random variables characterizing the detected classes. When automatic classification algorithms are designed to detect sets of random variable values corresponding to unimodal fragments of their probability density, it is reasonable to regroup classes within the space of their mean random variable values. This is implemented using a modification of the “Forel” algorithm, the parameters of which are determined based on the results of a computational experiment. If additional information about the properties of a natural object is available, it can be used to aggregate the results of automatic classification in the spectral feature space. Under these conditions, class aggregation is based on testing the hypothesis of the homogeneity of the distribution laws of the random variables that characterize the additional information. To solve this problem, a nonparametric pattern recognition algorithm that follows the maximum likelihood criterion is used. The optimal blur coefficients of the classification algorithm's kernel functions are selected based on the requirement to minimize the pattern recognition error estimate in the “sliding exam” mode. The obtained results are summarized in the construction of an information graph, the nodes of which correspond to classes. An edge is formed between two graph nodes if the pattern recognition error for a given pair of classes does not differ significantly from 0,5. A modification of the Kolmogorov–Smirnov test is used to test the hypotheses. A macroclass is formed by classes corresponding to a complete subgraph that do not reliably differ in the distribution patterns of features in the additional information. The sequential procedure for forming macroclasses begins with finding the complete subgraph with the maximum number of classes. The results obtained form the basis for developing a decision rule for assessing the membership of spectral feature values in the resulting macroclasses. The proposed method for aggregating the results of automatic classification is relevant for the system analysis of remote sensing data.","针对多维光谱遥感数据自动分类结果的聚合方法被提出。该任务通过改进的“Forel”算法以及用于检验表征所检测类别的随机变量分布律同质性假设的程序来完成。当自动分类算法旨在检测对应于其概率密度单峰片段的随机变量值集合时，在其均值随机变量值空间内重新分组类别是合理的。这通过“Forel”算法的改进版本实现，其参数基于计算实验结果确定。如果存在关于自然对象属性的附加信息，则可将其用于聚合光谱特征空间中的自动分类结果。在这些条件下，类别聚合基于检验表征附加信息的随机变量分布律同质性假设。为解决该问题，采用遵循最大似然准则的非参数模式识别算法。分类算法核函数的最优模糊系数基于在“滑动检验”模式下最小化模式识别误差估计的要求进行选择。所得结果汇总于信息图的构建中，其节点对应于类别。如果给定类别对的模式识别误差与0.5无显著差异，则在两个图节点之间形成边。使用Kolmogorov–Smirnov检验的改进版本来检验假设。宏类由对应于完全子图的类别形成，这些类别在附加信息中的特征分布模式上没有可靠差异。形成宏类的顺序过程从寻找具有最大类别数的完全子图开始。所得结果构成了开发决策规则的基础，该规则用于评估光谱特征值在所得宏类中的隶属关系。所提出的用于聚合自动分类结果的方法对于遥感数据的系统分析具有相关性。","Siberian Aerospace Journal","2026-10-20T00:00:00Z",{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":369},"该文为遥感数据自动分类结果聚合的算法论文，属通用遥感方法研究，与三农、农业信息化、智慧农业无直接关联，不建议进入每日精选。",[371],{"name":366,"url":363},[21,373,374],"光谱数据","自动分类",[],{"status":26,"locked":14,"version":27,"method":28,"evidence":377},{"candidates":378,"agricultural_evidence":14,"reason":54},[379],{"code":49,"score":124,"supported":34,"title":380,"abstract":381,"tags":382},[52],[21,52],[21],[384,385],"光谱数据 自动分类 遥感","光谱数据 自动分类","光谱数据自动分类遥感-5574","10.31772\u002F2712-8970-2026-27-3-390-399",{"doi":387,"openalex_id":389,"authors":390,"venue":366,"cited_by_count":15,"oa_url":397,"card":398,"direction":91,"ingested_from":92},"W7223058937",[391,394],{"name":392,"orcid":393},"Aleksandr V. Lapko","https:\u002F\u002Forcid.org\u002F0000-0002-0664-3870",{"name":395,"orcid":396},"Vasiliy A. Lapko","https:\u002F\u002Forcid.org\u002F0000-0001-6938-9323","https:\u002F\u002Fjournals.eco-vector.com\u002F2712-8970\u002Farticle\u002Fdownload\u002F719886\u002F228882",{"tldr":399,"method":400,"finding":401,"direction":91,"opportunity":402},"提出聚合多维光谱遥感自动分类结果的方法，合并相似类别为宏类。","改进Forel算法、非参数模式识别、Kolmogorov-Smirnov检验与信","基于分布同质性检验可有效聚合自动分类类别，形成稳定宏类。","可将该聚合框架用于作物遥感分类后处理，提升类别一致性与可解释性。","2026-10-22T11:20:42.307504Z",{"id":405,"title":406,"url":407,"summary":408,"summary_zh":409,"content":9,"source_name":410,"source_url":407,"published_at":242,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":411,"score_detail":412,"sources":414,"tags":416,"primary_topic":419,"secondary_topics":423,"classification":424,"search_phrases":452,"slug":455,"view_count":15,"doi":456,"paper":457,"created_at":471},5572,"Potential erosion risk assessment of Kanak stream basin (Sivas, Sarkisla) with the ICONA model","https:\u002F\u002Fdoi.org\u002F10.51753\u002Fflsrt.1828829","The rapid development of technology following the Industrial Revolution has increased human domination over nature. Erosion, which plays a critical role in the process of natural shaping of the earth, can accelerate over time because of improper utilization of the natural environment by humans. The main objective of this study is to determine the erosion susceptibility of the Kanak Creek Basin, one of the sub-basins in the upper reaches of the Kizilirmak River, using the ICONA model, whose main parameters are slope, lithology, land use and vegetation cover, and Geographic Information Systems (GIS) and Remote Sensing techniques, and to list the measures that can be taken against erosion. According to the results of the ICONA model potential erosion level map, 48% of the study area has low erosion susceptibility. These areas largely correspond to the vicinity of Sama Mountain, which has volcanic rocks resistant to erosion, and the base of Sarkisla Plain where the slope is very low. The plain floor is largely covered with agricultural lands. The expansion of irrigated agriculture in this region is one of the main measures that can be taken against erosion. Erosion susceptibility increases around Turna Mountain on the northern border of the basin and Cal Mountain in the south due to both the increase in slope and the lack of resistance of the rocks in the region to erosion, and corresponds to 30% of the study area. In 22% of the basin, susceptibility to erosion is at a medium level. Most of these areas consist of natural meadows and pastures. It is essential to take measures against overgrazing in these areas to prevent the complete loss of the already sparse vegetation cover. Planning land use in the basin in a sustainable manner, arranging fields and layers perpendicular to the slope, expanding irrigated agriculture, and preventing overgrazing are of vital importance in terms of combating soil erosion.","工业革命以来技术的迅猛发展增强了人类对自然的支配能力。侵蚀在地球自然塑造过程中起着关键作用，而人类对自然环境的不当利用会加速侵蚀进程。本研究的主要目标是利用ICONA模型（其主要参数为坡度、岩性、土地利用和植被覆盖）以及地理信息系统（GIS）和遥感技术，确定克孜勒河上游子流域之一卡纳克溪流域的侵蚀敏感性，并列出可采取的侵蚀防治措施。根据ICONA模型潜在侵蚀等级图的结果，研究区48%的区域侵蚀敏感性较低。这些区域主要对应于具有抗侵蚀火山岩的萨马山附近以及坡度极低的萨尔基什拉平原底部。平原底部大部分为农业用地覆盖。在该地区扩大灌溉农业是防治侵蚀的主要措施之一。在流域北部边界的图尔纳山和南部的恰尔山周围，由于坡度增大以及该地区岩石抗侵蚀能力不足，侵蚀敏感性增加，占研究区面积的30%。流域22%的区域侵蚀敏感性为中等水平。这些区域大部分为天然草甸和牧场。在这些地区采取措施防止过度放牧至关重要，以避免本已稀疏的植被覆盖完全丧失。以可持续方式规划流域土地利用、沿垂直于坡向布置田块和土层、扩大灌溉农业以及防止过度放牧，对防治土壤侵蚀具有至关重要的意义。","Frontiers in Life Sciences and Related Technologies",61,{"impact":108,"substance":109,"depth":110,"authority":245,"freshness":33,"relevant":96,"comment":413},"该研究以ICONA模型结合GIS与遥感评估土耳其小流域侵蚀风险，方法规范、结论具体，但属区域性案例，公共影响有限，可作为专业参考而非每日精选。",[415],{"name":410,"url":407},[21,180,417,38,418],"土壤侵蚀","水土保持",{"code":32,"slug":420,"name":421,"path":422,"parent_code":185},"gis","GIS与空间分析","\u002Ftopic\u002Fdigital-agriculture\u002Fgis",[],{"status":188,"locked":14,"version":27,"method":28,"evidence":425},{"candidates":426,"agricultural_evidence":34},[427,431,435,442,447],{"code":32,"score":13,"supported":34,"title":428,"abstract":429,"tags":430},[],[37,38,39],[38],{"code":49,"score":43,"supported":34,"title":432,"abstract":433,"tags":434},[],[21,52],[21],{"code":436,"score":95,"supported":34,"title":437,"abstract":438,"tags":441},"H2",[],[439,440],"土壤","soil",[],{"code":42,"score":111,"supported":34,"title":443,"abstract":444,"tags":446},[],[445],"灌溉",[],{"code":210,"score":448,"supported":14,"title":449,"abstract":450,"tags":451},2,[],[],[180,418],[453,454],"ICONA 模型 侵蚀风险","Kanak 流域 侵蚀","ICONA模型侵蚀风险-5572","10.51753\u002Fflsrt.1828829",{"doi":456,"openalex_id":458,"authors":459,"venue":410,"cited_by_count":15,"oa_url":9,"card":465,"direction":91,"ingested_from":92},"W7223117733",[460,462],{"name":461,"orcid":9},"MERİÇ KURT",{"name":463,"orcid":464},"Celal ŞENOL","https:\u002F\u002Forcid.org\u002F0000-0003-0857-866X",{"tldr":466,"method":467,"finding":468,"direction":469,"opportunity":470},"用ICONA模型评估土耳其Kanak流域潜在侵蚀风险并列出防治措施。","ICONA模型结合GIS与遥感，输入坡度、岩性、土地利用与植被覆盖。","48%区域低侵蚀风险，30%高敏感，22%中等，主因坡度与岩性。","农业绿色发展与碳","可将ICONA与遥感时序数据结合，动态监测流域侵蚀并评估农业管理措施效果。","2026-10-22T11:20:39.475037Z"]