[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3181":3,"related-3181":63},{"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,"search_phrases":32,"slug":35,"view_count":36,"doi":37,"paper":38,"created_at":62},3181,"Estimating groundwater abstraction for irrigation in a data-scarce semi-arid region using optical and InSAR time-series analysis: the Tensift catchment, Morocco","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffrwa.2026.1917387","In Morocco, the expansion of irrigated agriculture has intensified groundwater abstraction and increased pressure on overexploited aquifer systems. Moreover, the substantial lack of pumping measurement data represents a critical limitation for water resources management. To address this gap, the present study quantifies groundwater abstraction at the perimeter scale during agricultural season (2015–2016) in the Tensift catchment, using an integrated methodology combining optical and radar remote sensing (Sentinel-1,-2) with field-based observations. The results show that the total groundwater abstraction reached 4.13 × 10 6 m 3 with a monthly average of 344,515 m 3 . During the April–August period, groundwater supplied 36.1% of crop water requirements, while dam releases contributed 63.9%. These estimates were validated against pumping records from monitoring wells, where field measurements quantified groundwater and dam release contributions of 45% and 55%, respectively. The water balance assessment indicated a total agricultural water supply of 18.8 × 10 6 m 3 .yr −1 , consistent with crop water requirements estimated at 17.8 × 10 6 m 3 .yr −1 . InSAR-derived land subsidence analysis revealed marked spatial heterogeneity, with maximum subsidence rates reaching 6.5 mm.yr −1 , concentrated in the northern sector and isolated central clusters. Overlap analysis showed a co-occurrence rate of 70.6% between high-abstraction and subsidence zones. The spatial Pearson correlation between land subsidence and groundwater abstraction ranges from 0.39 to 0.71. This study demonstrates that the proposed approach provides a robust and scalable framework for groundwater abstraction monitoring in data-scarce environments.","在摩洛哥，灌溉农业的扩张加剧了地下水开采，并增加了对过度开采含水层系统的压力。此外，抽水计量数据的大量缺失是水资源管理的一个关键限制。为弥补这一空白，本研究采用结合光学与雷达遥感（Sentinel-1、-2）及实地观测的综合方法，量化了Tensift流域农业季（2015—2016年）周边尺度的地下水开采量。结果表明，地下水总开采量达4.13 × 10⁶ m³，月均344,515 m³。在4月至8月期间，地下水满足了作物需水量的36.1%，而水库放水贡献了63.9%。这些估算结果经监测井抽水记录验证，实地测量量化地下水与水库放水的贡献分别为45%和55%。水量平衡评估表明，农业总供水量为18.8 × 10⁶ m³·yr⁻¹，与估算的作物需水量17.8 × 10⁶ m³·yr⁻¹一致。基于InSAR的地面沉降分析揭示了显著的空间异质性，最大沉降速率达6.5 mm·yr⁻¹，集中于北部区域和孤立的中部簇群。重叠分析显示，高开采区与沉降区的共现率为70.6%。地面沉降与地下水开采之间的空间Pearson相关系数范围为0.39至0.71。本研究表明，所提出的方法为数据稀缺环境下的地下水开采监测提供了一个稳健且可扩展的框架。",null,"Frontiers in Water","2026-09-21T00:00:00Z","论文",10,false,78,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},16,22,18,13,9,1,"结合光学与InSAR遥感估算数据稀缺区灌溉地下水开采量，方法新颖、结论可靠，对农业水资源信息化管理有参考价值。",[25],{"name":10,"url":6},[27,28,29,30,31],"农业水资源","遥感监测","半干旱农业","地下水灌溉","InSAR",[33,34],"Tensift 流域 地下水 灌溉","Sentinel-1 Sentinel-2 灌溉 遥感","Tensift流域地下水灌溉-3181",0,"10.3389\u002Ffrwa.2026.1917387",{"doi":37,"openalex_id":39,"authors":40,"venue":10,"cited_by_count":36,"oa_url":6,"card":55,"direction":59,"ingested_from":61},"W7213955905",[41,43,46,48,51,53],{"name":42,"orcid":9},"Youssef Hajhouji",{"name":44,"orcid":45},"Abdelhakim Amazirh","https:\u002F\u002Forcid.org\u002F0000-0002-6665-3843",{"name":47,"orcid":9},"Wassim Mohamed Baba",{"name":49,"orcid":50},"Marieme Seif-Ennasr","https:\u002F\u002Forcid.org\u002F0009-0005-8205-265X",{"name":52,"orcid":9},"M Serraj",{"name":54,"orcid":9},"Salah Er-Raki",{"tldr":56,"method":57,"finding":58,"direction":59,"opportunity":60},"结合光学与InSAR遥感估算摩洛哥半干旱区灌溉地下水开采量。","Sentinel-1\u002F2时序遥感、实地观测与InSAR沉降分析。","地下水满足36.1%作物需水，高开采区与沉降区重叠达70.6%。","农业遥感与作物表型","可迁移至其他数据稀缺区，融合多源遥感与机器学习提升开采量估算精度。","openalex","2026-09-22T23:30:24.043679Z",{"total":64,"page":22,"page_size":64,"items":65},6,[66,100,131,156,181,231],{"id":67,"title":68,"url":69,"summary":70,"summary_zh":71,"content":9,"source_name":72,"source_url":69,"published_at":73,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":36,"score_detail":74,"sources":76,"tags":78,"search_phrases":81,"slug":84,"view_count":36,"doi":85,"paper":86,"created_at":99},2331,"Assessment of Seasonal Variations in Groundwater Quality Using Physicochemical Analysis and Water Quality Index in Panna, Madhya Pradesh, India: A Review","https:\u002F\u002Fdoi.org\u002F10.36948\u002Fijfmr.2026.v08i05.87635","Groundwater is one of the most important freshwater resources for domestic, agricultural and institutional requirements, particularly in regions where surface-water availability is seasonal and uneven. In India, increasing dependence on groundwater, rapid urbanization, inadequate drainage and sewage infrastructure, agricultural activities and changing recharge conditions have increased the vulnerability of aquifers to both quantitative and qualitative degradation. Panna District of Madhya Pradesh represents an important area for groundwater-quality assessment because of its varied geological formations, seasonal climatic conditions and increasing dependence on groundwater resources. The present review synthesizes the available information on seasonal groundwater-quality variation in selected locations of Panna using physicochemical analysis and the Water Quality Index (WQI). The documented investigation covers seven sampling locations, namely Diamond Chauraha, Mohan Nivas Chauraha, Gandhi Chowk, Ajaygarh Chauraha, Kishorji Mandir, Baldevji Mandir and Purana Power House. Seven major physicochemical parameters—chloride, calcium hardness, total hardness, pH, electrical conductivity (EC), temperature and total dissolved solids (TDS)—were considered. Groundwater monitoring was conducted from May to August, representing pre-monsoon, monsoon and post-monsoon conditions. The reviewed data indicate considerable spatial and seasonal variability in groundwater chemistry. During May, TDS ranged from 134 to 481.41 mg\u002FL, while total hardness varied from 300 to 370 mg\u002FL. The highest TDS was observed at Purana Power House, whereas Ajaygarh Chauraha showed the lowest TDS. The WQI values reported for the selected locations indicate comparatively better groundwater quality at Ajaygarh Chauraha and deterioration at locations subjected to greater urban and anthropogenic pressure. The review also identifies important research gaps, including limited monitoring duration, restricted sampling density and the absence of several important chemical and microbiological parameters. Integration of long-term monitoring, GIS, remote sensing and expanded hydrochemical analysis is recommended for sustainable groundwater management in Panna.","地下水是满足生活、农业和机构需求的最重要淡水资源之一，在地表水可用性具有季节性和不均衡性的地区尤为如此。在印度，对地下水依赖程度的不断增加、快速城市化、排水和污水处理基础设施不足、农业活动以及补给条件的变化，加剧了含水层在水量和水质两方面退化的脆弱性。中央邦潘纳县因其多样的地质构造、季节性气候条件以及对地下水资源日益增长的依赖，成为地下水质量评估的重要区域。本文综述综合了现有关于潘纳县选定地点季节性地下水质量变化的信息，采用物理化学分析和水质指数（WQI）进行研究。所综述的调查涵盖七个采样点，即Diamond Chauraha、Mohan Nivas Chauraha、Gandhi Chowk、Ajaygarh Chauraha、Kishorji Mandir、Baldevji Mandir和Purana Power House。研究考虑了七项主要物理化学参数——氯化物、钙硬度、总硬度、pH、电导率（EC）、温度和总溶解固体（TDS）。地下水监测于5月至8月进行，涵盖季风前、季风期和季风后条件。所综述的数据表明，地下水化学特征存在显著的空间和季节性变异。5月期间，TDS范围为134至481.41 mg\u002FL，总硬度变化范围为300至370 mg\u002FL。TDS最高值出现在Purana Power House，而Ajaygarh Chauraha的TDS最低。所选地点的WQI值表明，Ajaygarh Chauraha的地下水质量相对较好，而受城市和人为压力较大的地点则出现水质恶化。本综述还指出了重要的研究空白，包括监测持续时间有限、采样密度受限以及若干重要化学和微生物参数缺失。建议整合长期监测、GIS、遥感和扩展的水化学分析，以实现潘纳县地下水的可持续管理。","International Journal For Multidisciplinary Research","2026-09-10T00:00:00Z",{"impact":36,"substance":36,"depth":36,"authority":36,"freshness":36,"relevant":36,"comment":75},"印度区域地下水季节性水质综述，与三农、农业信息化及中国数字乡村议题无直接关联，不建议进入每日精选。",[77],{"name":72,"url":69},[27,28,79,80],"地下水质量","水质指数",[82,83],"农业水资源 地下水质量 水质指数 遥感监测","农业水资源 地下水质量","农业水资源地下水质量水质指数遥感监测-2331","10.36948\u002Fijfmr.2026.v08i05.87635",{"doi":85,"openalex_id":87,"authors":88,"venue":72,"cited_by_count":36,"oa_url":69,"card":93,"direction":59,"ingested_from":61},"W7212275142",[89,91],{"name":90,"orcid":9},"Mahendra Singh Tekam",{"name":92,"orcid":9},"D.C. Rahi",{"tldr":94,"method":95,"finding":96,"direction":97,"opportunity":98},"综述印度潘纳地区地下水质量的季节性变化，用理化分析与水质指数评估七个采样点。","综述七点七项理化指标（pH、EC、TDS、硬度等）与WQI，5-8月监测。","地下水化学时空差异明显，城市人为压力大的点位WQI较差，Ajaygarh Chauraha水质较好。","农业绿色发展与碳","可结合GIS、遥感与长期监测，扩展微生物及水化学指标，构建农业区地下水质量预警模型。","2026-09-13T23:30:26.201075Z",{"id":101,"title":102,"url":103,"summary":104,"summary_zh":9,"content":9,"source_name":105,"source_url":9,"published_at":106,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":107,"score_detail":108,"sources":110,"tags":112,"search_phrases":117,"slug":120,"view_count":36,"doi":9,"paper":121,"created_at":130},3248,"Crop recommendation in precision agriculture: a systematic literature review of methods, trends, and challenges（精准农业中的作物推荐：方法、趋势与挑战系统综述）","https:\u002F\u002Fm2.mtmt.hu\u002Fapi\u002Fpublication\u002F37471110","MDPI 发表精准农业作物推荐方法系统综述：从183项研究中严格筛选129篇发表于2020-2026年的文章，使用PRISMA协议进行综合分析。研究表明集成学习方法（特别是随机森林和XGBoost）在各种农业数据集的预测性能上具有强大能力；支持向量机、决策树、k近邻等传统ML方法仍被广泛使用；同时CNN和LSTM被用于遥感和时间相关农业分析。最常用的数据集来源是Kaggle，典型输入包括土壤养分（NPK）、土壤pH、天气条件和NDVI、EVI等卫星指数。研究主要研究空白：有限的实时部署、低多数据源集成、低跨区域验证、低模型可解释性。研究表明可扩展、可解释的AI系统对农业实际应用具有重要意义。","MDPI","2026-09-22T00:00:00Z",81,{"impact":19,"substance":18,"depth":19,"authority":20,"freshness":13,"relevant":22,"comment":109},"基于PRISMA的129篇文献系统综述，梳理作物推荐主流方法与四大研究空白，对农业AI落地有参考价值。",[111],{"name":105,"url":103},[113,114,115,116,28],"智慧农业","农业人工智能","机器学习","作物推荐",[118,119],"精准农业 作物推荐 系统综述","XGBoost 随机森林 作物推荐","精准农业作物推荐系统综述-3248",{"doi":9,"openalex_id":9,"authors":122,"venue":9,"cited_by_count":36,"oa_url":9,"card":123,"direction":127,"ingested_from":129},[],{"tldr":124,"method":125,"finding":126,"direction":127,"opportunity":128},"系统综述129篇2020-2026年文献，梳理精准农业作物推荐的方法、趋势与挑战。","PRISMA协议系统综述，分析183项研究筛选出的129篇文献。","集成学习（随机森林、XGBoost）表现最强，主要空白为实时部署、多源集成、跨区域验证与可解释性。","农业人工智能与决策模型","可探索可解释、可跨区域泛化的实时作物推荐系统，并融合多源遥感与物联网数据。","agent","2026-09-23T00:04:33.331160Z",{"id":132,"title":133,"url":134,"summary":135,"summary_zh":9,"content":136,"source_name":137,"source_url":9,"published_at":138,"category":139,"cover_url":9,"hotness":13,"is_selected":14,"score":140,"score_detail":141,"sources":145,"tags":147,"search_phrases":151,"slug":154,"view_count":36,"doi":9,"paper":9,"created_at":155},3230,"农业科普进校园 科技种子润心田——黑龙江省农科院\"农业科普进校园\"活动走进萧红中学","https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1079072228_121106822","黑龙江省农科院\"农业科普进校园\"活动走进哈尔滨市萧红中学，七位专家把实验室里的科研成果\"翻译\"成生动有趣的科普课堂，围绕食品安全、现代种业、智慧农业、遥感监测、生物防治、健康养殖、未来食品等方向，用图文展示、实物观察、视频演示和互动问答，把硬核科研变成通俗易懂的知识。作为省农科院2026年全国科普月重点活动之一，本次活动紧扣\"科技改变生活 创新赢得未来\"主题，聚焦现代农业科普和青少年科学素养提升，是落实全国科普月\"科普讲堂话前沿\"\"科学文化进基层\"部署、推动农业科普资源进校园的具体实践。","## 农业科普进校园 科技种子润心田 ——省农科院“农业科普进校园”活动走进萧红中学\n\n2026-09-21 17:29 来源: [大东北生活资讯](https:\u002F\u002Fwww.sohu.com\u002F)\n\n发布于：北京市\n\n当“农药去哪了”“玉米的秘密”“未来餐桌”这些话题出现在中学课堂，农业就不再是课本里遥远的名词，而是一场可以看、可以问、可以触摸的科技之旅。\n\n近日，省农科院“农业科普进校园”活动走进哈尔滨市萧红中学。七位专家把实验室里的科研成果“翻译”成生动有趣的科普课堂，带着同学们零距离感受现代农业的魅力。\n\n活动现场，专家们围绕食品安全、现代种业、智慧农业、遥感监测、生物防治、健康养殖、未来食品等方向，用图文展示、实物观察、视频演示和互动问答，把硬核科研变成通俗易懂的知识。同学们在观察、提问、交流中，慢慢理解了“藏粮于技”的意义，也感受到科技给农业带来的改变。\n\n作为省农科院2026年全国科普月重点活动之一，本次活动紧扣“科技改变生活 创新赢得未来”主题，聚焦现代农业科普和青少年科学素养提升，是落实全国科普月“科普讲堂话前沿”“科学文化进基层”部署、推动农业科普资源进校园的具体实践。以青少年为纽带，科研机构与社会公众之间多了一座沟通的桥；通过“请进来”与“走出去”，省农科院在粮食安全、乡村振兴等领域的创新成果被更多年轻人看见。知农、爱农、兴农的种子，正在校园里悄悄发芽。\n\n接下来，省农科院还将继续深化与学校的合作，让更多青少年在沉浸式体验中走近农业、爱上科学，为龙江农业现代化和乡村振兴积蓄青春力量。\n\n![Image 1](https:\u002F\u002Fq0.itc.cn\u002Fq_70\u002Fimages03\u002F20260921\u002Fccb551427fec4af1a347d1e5b521017a.jpeg)\n\n![Image 2](https:\u002F\u002Fq6.itc.cn\u002Fq_70\u002Fimages03\u002F20260921\u002F9f478e5a65a44654acd668ed043bff16.jpeg)\n\n**黑 龙 江 省 农 业 科 学 院 党 宣**\n\n信 息 来 源：科技推广处张唯一\n\n审核：李佳峰\n\n编辑：王红蕾[返回搜狐，查看更多](https:\u002F\u002Fwww.sohu.com\u002F?strategyid=00001 \"点击进入搜狐首页\")","黑龙江省农业科学院","2026-09-19T00:00:00Z","报道",39,{"impact":142,"substance":142,"depth":64,"authority":13,"freshness":143,"relevant":22,"comment":144},8,7,"省级农科院面向中学的科普活动通稿，属全国科普月系列活动，有科普教育价值但信息增量有限，适合作为科普类资讯收录。",[146],{"name":137,"url":134},[113,148,28,149,150],"农业科普","全国科普月","青少年科学素养",[152,153],"黑龙江省农科院 农业科普进校园","萧红中学 农业科普","黑龙江省农科院农业科普进校园-3230","2026-09-23T00:04:30.535981Z",{"id":157,"title":158,"url":159,"summary":160,"summary_zh":9,"content":161,"source_name":162,"source_url":9,"published_at":11,"category":139,"cover_url":9,"hotness":13,"is_selected":14,"score":163,"score_detail":164,"sources":169,"tags":171,"search_phrases":176,"slug":179,"view_count":36,"doi":9,"paper":9,"created_at":180},3222,"深化南北科技协作 共促智慧节水农业发展——河北省水资源研究与水利技术试验推广中心一行到江苏里下河所调研交流","https:\u002F\u002Fyz.jaas.ac.cn\u002Fxww\u002Fxwzx\u002Fart\u002F2026\u002Fart_685e5e43f9554e108a96b2b38a2110e2.html","9-21 河北省水资源研究与水利技术试验推广中心（河北省灌溉中心试验站）副主任贾志军一行3人来江苏里下河地区农业科学研究所调研交流。调研组一行在资源与环境研究室主任寇祥明等陪同下，实地考察樊川基地，现场观摩智慧灌溉、虫情监测及土壤墒情在线监测等智慧农业应用场景。双方围绕农业水资源高效利用、智慧灌溉技术研发及科研基地建设等主题进行深入交流，重点围绕深化南北区域农业节水科技协作达成共识，一致认为应充分发挥各自在农业水资源利用、稻麦栽培和智慧农业等方面的科研与平台优势，协同开展黄淮海地区和里下河地区稻麦高效节水智慧灌溉技术研究，探索构建适应不同生态区的智慧灌溉技术模式与技术标准。","深化南北科技协作 共促智慧节水农业发展—河北省水资源研究与水利技术试验推广中心一行来我所调研交流\n\n作者：资源与环境研究室 文章来源：里下河所 点击数：次 更新时间：2026-09-21 18:02\n\n9月21日，河北省水资源研究与水利技术试验推广中心（河北省灌溉中心试验站）副主任贾志军一行3人来我所调研交流。扬州大学水利科学与工程学院副教授张超、江苏艺米科技产业有限公司王娟参加调研，我所资源与环境研究室相关科技人员参加交流。\n\n调研组一行在资源与环境研究室主任寇祥明等陪同下，实地考察我所樊川基地，现场观摩智慧灌溉、虫情监测及土壤墒情在线监测等智慧农业应用场景。座谈会上，双方围绕农业水资源高效利用、智慧灌溉技术研发及科研基地建设等主题进行深入交流，分别介绍了各自团队的科研方向、技术优势与试验基地建设情况，并结合黄淮海地区和里下河地区水资源条件及农业生产特点，就不同区域稻麦节水高效生产面临的关键问题展开探讨。双方重点围绕深化南北区域农业节水科技协作达成共识，一致认为应充分发挥各自在农业水资源利用、稻麦栽培和智慧农业等方面的科研与平台优势，协同开展黄淮海地区和里下河地区稻麦高效节水智慧灌溉技术研究，探索构建适应不同生态区的智慧灌溉技术模式与技术标准。\n\n[![Image 1: 2.jpg](https:\u002F\u002Fyz.jaas.ac.cn\u002Fcms_files\u002Ffilemanager\u002F99318008\u002Fpicture\u002F20268\u002FS7ab29cbc247748b8b1c3a335f0b41404-800.jpg)](https:\u002F\u002Fyz.jaas.ac.cn\u002Fcms_files\u002Ffilemanager\u002F99318008\u002Fpicture\u002F20268\u002F7ab29cbc247748b8b1c3a335f0b41404.jpg)[](https:\u002F\u002Fyz.jaas.ac.cn\u002Fxww\u002Fxwzx\u002Fart\u002F2026\u002Fart_685e5e43f9554e108a96b2b38a2110e2.html)\n\n[![Image 2: 1(1).jpg](https:\u002F\u002Fyz.jaas.ac.cn\u002Fcms_files\u002Ffilemanager\u002F99318008\u002Fpicture\u002F20268\u002FS080985d3c19546bcb9b4ed2013226f82-800.jpg)](https:\u002F\u002Fyz.jaas.ac.cn\u002Fcms_files\u002Ffilemanager\u002F99318008\u002Fpicture\u002F20268\u002F080985d3c19546bcb9b4ed2013226f82.jpg)[](https:\u002F\u002Fyz.jaas.ac.cn\u002Fxww\u002Fxwzx\u002Fart\u002F2026\u002Fart_685e5e43f9554e108a96b2b38a2110e2.html)","江苏里下河地区农业科学研究所",58,{"impact":165,"substance":166,"depth":165,"authority":167,"freshness":21,"relevant":22,"comment":168},12,14,11,"省级科研机构间的南北节水协作调研，有实地观摩与共识方向，但属常规交流通稿，增量有限。",[170],{"name":162,"url":159},[27,172,173,174,175],"智慧灌溉","节水农业","南北科技协作","稻麦生产",[177,178],"河北水资源中心 里下河所 智慧灌溉","黄淮海 里下河 稻麦节水","河北水资源中心里下河所智慧灌溉-3222","2026-09-23T00:04:29.727008Z",{"id":182,"title":183,"url":184,"summary":185,"summary_zh":186,"content":9,"source_name":187,"source_url":184,"published_at":138,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":188,"score_detail":189,"sources":192,"tags":194,"search_phrases":199,"slug":202,"view_count":36,"doi":203,"paper":204,"created_at":230},3189,"Influence of Drought Events on Vegetation and Land Use Dynamics Utilising Orbital Data: A Case Study in the Pajeú River Basin, Pernambuco","https:\u002F\u002Fdoi.org\u002F10.29150\u002Fjhrs.v16i03.269030","Monitoring drought in the northeastern Semi-Arid region is a challenge compounded by high rainfall variability and a scarcity of in situ monitoring networks, which makes the use of geotechnologies for water resource management essential. This study aimed to analyze land use and occupation dynamics from 2002 to 2022 in the Pajeú River basin in Pernambuco, Brazil, and their relationship with drought events, using indices based on remote sensing. The Standardized Precipitation Index (SPI) was applied to characterize meteorological drought, while the Vegetation Health Index (VHI) and Normalized Vegetation Water Supply Index (NVSWI) were used to assess the ecosystem's response. The results indicated that the period from 2011 to 2016 was the most severe and prolonged drought, which was reinforced by low VHI and NVSWI values, indicating water stress on vegetation during the same period. The correlation analysis revealed that land use classes, such as vegetation and water, responded directly to drought, whereas degraded anthropogenic areas, including pasture and exposed soil, exhibited the opposite behavior. The joint analysis of the three indices and land use and occupation data provided a comprehensive understanding of the evolution of drought in the study area, highlighting the importance of a multiple approach to monitoring complex environments.","监测半干旱东北部地区的干旱是一项挑战，降雨变率大且原位监测网络稀缺使这一挑战更加复杂，因此利用地理技术进行水资源管理至关重要。本研究旨在利用基于遥感的指数，分析2002年至2022年巴西伯南布哥州帕热乌河流域的土地利用与覆盖动态及其与干旱事件的关系。采用标准化降水指数（SPI）表征气象干旱，同时使用植被健康指数（VHI）和归一化植被供水指数（NVSWI）评估生态系统的响应。结果表明，2011年至2016年是最严重且持续时间最长的干旱期，同期较低的VHI和NVSWI值进一步证实了这一点，表明植被在此期间受到水分胁迫。相关性分析显示，植被和水体等土地利用类别对干旱有直接响应，而牧场和裸露土壤等退化的人为区域则表现出相反的行为。三个指数与土地利用及覆盖数据的联合分析为理解研究区域干旱演变提供了全面的认识，凸显了多方法途径在监测复杂环境中的重要性。","Journal of Hyperspectral Remote Sensing",61,{"impact":142,"substance":19,"depth":190,"authority":165,"freshness":142,"relevant":22,"comment":191},15,"该研究利用遥感指数分析巴西半干旱流域干旱与植被动态，方法扎实但属区域性案例，对国内三农信息化参考价值有限。",[193],{"name":187,"url":184},[195,28,196,197,198],"水资源管理","土地利用","干旱监测","植被指数",[200,201],"Pajeú River basin 干旱 遥感","SPI VHI NVSWI 植被","PajeúRiverbasin干旱遥感-3189","10.29150\u002Fjhrs.v16i03.269030",{"doi":203,"openalex_id":205,"authors":206,"venue":187,"cited_by_count":36,"oa_url":224,"card":225,"direction":59,"ingested_from":61},"W7213792298",[207,210,213,216,219,221],{"name":208,"orcid":209},"Juliana Farias Santos de Moraes","https:\u002F\u002Forcid.org\u002F0000-0002-3241-844X",{"name":211,"orcid":212},"Estephania Silva Jovino","https:\u002F\u002Forcid.org\u002F0000-0002-6694-3533",{"name":214,"orcid":215},"Alex Vinícius de Melo Vieira","https:\u002F\u002Forcid.org\u002F0009-0002-5204-3734",{"name":217,"orcid":218},"Anderson Luiz Ribeiro de Paiva","https:\u002F\u002Forcid.org\u002F0000-0003-3475-1454",{"name":220,"orcid":9},"Sylvana Sylvana Melo dos Santos",{"name":222,"orcid":223},"Leidjane Maria Maciel de Oliveira","https:\u002F\u002Forcid.org\u002F0000-0003-1251-6998","https:\u002F\u002Fperiodicos.ufpe.br\u002Frevistas\u002Fjhrs\u002Farticle\u002Fdownload\u002F269030\u002F52814",{"tldr":226,"method":227,"finding":228,"direction":59,"opportunity":229},"利用遥感指数分析巴西Pajeú河流域2002-2022年干旱对植被与土地利用的影响。","采用SPI、VHI和NVSWI指数，结合遥感数据与土地利用分类。","2011-2016年干旱最严重，植被和水体响应直接，而牧场和裸地呈相反趋势。","可融合多源遥感与机器学习，构建半干旱区干旱-植被-土地利用耦合预警模型。","2026-09-22T23:30:26.557816Z",{"id":232,"title":233,"url":234,"summary":235,"summary_zh":236,"content":9,"source_name":237,"source_url":234,"published_at":138,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":36,"score_detail":238,"sources":240,"tags":242,"search_phrases":246,"slug":249,"view_count":36,"doi":250,"paper":251,"created_at":266},3188,"Identification of granitic pegmatites based on GF-5 hyperspectral data and LSTM-Transformer model","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.acags.2026.100406","Lithium is a key strategic mineral to support new energy and advanced technology, mainly enriched in granitic pegmatite. The integration of hyperspectral remote sensing and deep learning frameworks has emerged as a leading approach for quantitative identification of pegmatites. However, deep learning algorithms are often limited by the scarcity of labeled samples and the challenge of extracting features from high-dimensional spectral data. In this study, a data augmentation-driven LSTM-Transformer framework is proposed for pegmatite mapping using GF-5 hyperspectral remote sensing data. In view of limited samples, this study constructed an enhanced training data set by integrating field-measured and infrared scanning spectra, simulating real spectral variability and linear mixing to improve data diversity. The proposed LSTM-Transformer architecture combines LSTM’s advantages in local sequence feature modeling and Transformer’s capacity to capture long-range global relationships, thereby enhancing the detection of weakly diagnostic spectral features. The framework was demonstrated in the Jingerquan lithium deposit, Xinjiang, China. The high-probability areas delineated by the proposed model successfully captured several pegmatite dikes documented in previous geological studies. The prediction results were further validated through field sampling. Geochemical analyses of specimens collected from the predicted high-probability target areas show an average Li 2 O grade of 7.86 wt.%, which meets industrial requirements and confirms the reliability of the proposed method. Overall, these results provide the potential of the proposed framework for pegmatite mapping and subsequent mineral exploration under the conditions of limited labeled samples.","锂是支撑新能源与先进技术的关键战略矿产，主要富集于花岗伟晶岩中。高光谱遥感与深度学习框架的融合已成为伟晶岩定量识别的前沿方法。然而，深度学习算法常受限于标注样本稀缺以及高维光谱数据特征提取的难题。本研究提出了一种数据增强驱动的LSTM-Transformer框架，用于基于GF-5高光谱遥感数据的伟晶岩填图。针对样本有限的问题，本研究通过整合野外实测光谱与红外扫描光谱构建了增强训练数据集，模拟真实光谱变异与线性混合以提升数据多样性。所提出的LSTM-Transformer架构结合了LSTM在局部序列特征建模方面的优势与Transformer捕捉长程全局关系的能力，从而增强了对弱诊断光谱特征的检测。该框架在中国新疆镜儿泉锂矿床进行了验证。所提模型圈定的高概率区域成功捕获了以往地质研究中记录的若干伟晶岩脉。预测结果进一步通过野外采样得到验证。从预测高概率目标区采集的标本地球化学分析显示，Li₂O平均品位为7.86 wt.%，满足工业要求，证实了所提方法的可靠性。总体而言，这些结果展示了所提框架在标注样本有限条件下用于伟晶岩填图及后续矿产勘查的潜力。","Applied Computing and Geosciences",{"impact":36,"substance":36,"depth":36,"authority":36,"freshness":36,"relevant":36,"comment":239},"该论文聚焦高光谱遥感与深度学习用于伟晶岩型锂矿识别，属地质矿产勘探领域，与三农、农业信息化、智慧农业主题无关，不建议进入每日精选。",[241],{"name":237,"url":234},[243,28,244,245],"深度学习","高光谱遥感","锂矿勘探",[247,248],"GF-5 高光谱 伟晶岩","新疆 镜儿泉 锂矿","GF-5高光谱伟晶岩-3188","10.1016\u002Fj.acags.2026.100406",{"doi":250,"openalex_id":252,"authors":253,"venue":237,"cited_by_count":36,"oa_url":260,"card":261,"direction":59,"ingested_from":61},"W7213617576",[254,257],{"name":255,"orcid":256},"Zhong Li","https:\u002F\u002Forcid.org\u002F0000-0002-2312-3746",{"name":258,"orcid":259},"Ziye Wang","https:\u002F\u002Forcid.org\u002F0000-0001-6538-5798","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS259019742600090X\u002Fpdf",{"tldr":262,"method":263,"finding":264,"direction":59,"opportunity":265},"提出数据增强驱动的LSTM-Transformer框架，用GF-5高光谱数据识别花岗伟晶岩。","GF-5高光谱数据，融合实测与红外扫描光谱增强样本，构建LSTM-Transfo","在新疆金儿泉锂矿成功圈定伟晶岩脉，验证区Li2O平均品位7.86 wt.%。","可将该高光谱-深度学习框架迁移至农田土壤属性或作物养分反演，解决标签稀缺问题。","2026-09-22T23:30:25.608490Z"]