[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-5083":3,"related-5083":87},{"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":9,"secondary_topics":32,"classification":33,"search_phrases":60,"slug":63,"view_count":22,"doi":64,"paper":65,"created_at":86},5083,"EVOLVING TOOLS IN CONSTRUCTED WETLAND RESEARCH: FROM RADIOISOTOPE TRACERS TO PREDICTIVE HYDROLOGICAL MODELS","https:\u002F\u002Fdoi.org\u002F10.30574\u002Fwjarr.2026.32.1.2584","Constructed wetlands (CWs) have become a key nature-based technology for sustainable wastewater treatment and ecological restoration, yet their performance remains highly dependent on complex interactions among hydrodynamics, biogeochemistry, vegetation, and operational conditions. This paper traces the evolution of research and troubleshooting tools used in CW studies, starting from early radiotracer applications and progressing towards contemporary data rich, model driven frameworks. The paper then presents the recent advances including remote sensing and UAV based monitoring, sensor networks, computational fluid dynamics (CFD), process based hydrological and reactive transport models, integrated systems, and the renewed but regulated use of radioisotope and dye tracers. In parallel, the role of dedicated simulation software in CW design and optimization is analyzed through six main platforms: BIO_PORE, HYDRUS Wetland Module, Wetland Water Quality Model (WWQM), WEST, AQUASIM, and SWAT. A comparative assessment highlights how each tool targets specific spatial scales and processes, from pore scale clogging dynamics to watershed level pollutant loading. The results demonstrate that no single technique or software package can capture the full multi scale complexity of CWs; instead, maximum benefit is achieved by combining complementary tools into integrated monitoring–modelling frameworks. The paper concludes by emphasising the need for multi model, multi-source strategies and outlines future directions involving AI, digital twins, and tighter coupling between field diagnostics and predictive simulation to support more resilient, efficient, and sustainable CW systems.","人工湿地（Constructed Wetlands, CWs）已成为可持续废水处理和生态修复的关键基于自然的解决方案，但其性能仍高度依赖于水动力学、生物地球化学、植被和运行条件之间复杂的相互作用。本文追溯了人工湿地研究中使用的调查与故障诊断工具的演变历程，从早期的放射性示踪剂应用开始，逐步发展到当代数据丰富、模型驱动的框架。随后，本文介绍了近期进展，包括遥感和基于无人机（UAV）的监测、传感器网络、计算流体动力学（CFD）、基于过程的水文与反应性输运模型、集成系统，以及放射性同位素和染料示踪剂在规范管理下的重新应用。与此同时，本文通过六个主要平台分析了专用模拟软件在人工湿地设计与优化中的作用：BIO_PORE、HYDRUS湿地模块、湿地水质模型（WWQM）、WEST、AQUASIM和SWAT。比较评估揭示了每种工具如何针对特定的空间尺度和过程，从孔隙尺度的堵塞动力学到流域尺度的污染物负荷。结果表明，没有任何单一技术或软件包能够捕捉人工湿地的全部多尺度复杂性；相反，将互补工具整合到监测-建模一体化框架中才能实现最大效益。本文最后强调了多模型、多源策略的必要性，并展望了涉及人工智能（AI）、数字孪生以及现场诊断与预测模拟更紧密结合的未来方向，以支持更具韧性、高效和可持续的人工湿地系统。",null,"World Journal of Advanced Research and Reviews","2026-10-14T00:00:00Z","论文",10,false,73,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},12,22,18,13,8,1,"系统梳理人工湿地研究工具从放射性示踪到AI与数字孪生的演进，方法学综述扎实，对农业面源污染治理与生态修复有参考价值。",[25],{"name":10,"url":6},[27,28,29,30,31],"数字孪生","遥感监测","水文模型","人工湿地","水环境治理",[],{"status":34,"locked":14,"version":35,"method":36,"evidence":37},"needs_review","2026-10-22.2","rules",{"candidates":38,"agricultural_evidence":14,"reason":59},[39,48,54],{"code":40,"score":41,"supported":42,"title":43,"abstract":44,"tags":47},"I3",7,true,[],[45,46],"遥感","remote sensing",[28],{"code":49,"score":50,"supported":42,"title":51,"abstract":52,"tags":53},"I1",4,[],[27],[27],{"code":55,"score":22,"supported":14,"title":56,"abstract":57,"tags":58},"H3",[],[],[29],"农业相关性需要复核",[61,62],"人工湿地 水文模型","人工湿地 遥感监测","人工湿地水文模型-5083","10.30574\u002Fwjarr.2026.32.1.2584",{"doi":64,"openalex_id":66,"authors":67,"venue":10,"cited_by_count":76,"oa_url":77,"card":78,"direction":84,"ingested_from":85},"W7221791634",[68,70,72,74],{"name":69,"orcid":9},"Kasban H.",{"name":71,"orcid":9},"Arafa Horya",{"name":73,"orcid":9},"Mohamed S. El_Tokhy",{"name":75,"orcid":9},"Elsayed H. Ali",0,"https:\u002F\u002Fwjarr.com\u002Fsites\u002Fdefault\u002Ffiles\u002Ffulltext_pdf\u002FWJARR-2026-2584.pdf",{"tldr":79,"method":80,"finding":81,"direction":82,"opportunity":83},"综述人工湿地研究工具从放射性示踪到预测性水文模型的演进，并比较六种模拟软件。","文献综述，梳理遥感、无人机、传感器、CFD、示踪剂及六种模拟平台。","单一工具无法捕捉人工湿地多尺度复杂性，需集成监测-建模框架。","农业绿色发展与碳","可探索AI与数字孪生驱动的人工湿地多模型耦合预测，服务农业面源污染治理。","智慧农业 \u002F 农业物联网","openalex","2026-10-16T23:30:10.953124Z",{"total":88,"page":22,"page_size":88,"items":89},6,[90,160,238,293,372,455],{"id":91,"title":92,"url":93,"summary":94,"summary_zh":95,"content":9,"source_name":96,"source_url":93,"published_at":97,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":76,"score_detail":98,"sources":100,"tags":102,"primary_topic":9,"secondary_topics":105,"classification":106,"search_phrases":139,"slug":142,"view_count":143,"doi":144,"paper":145,"created_at":159},4349,"Empirical Urban Growth Dynamics (2000–2025) and A Conceptual Architectural Framework for Spatial Digital Twins in Secondary African Cities: A Case Study of Owerri, Nigeria","https:\u002F\u002Fdoi.org\u002F10.14419\u002F66ab3y55","Rapid urban expansion in secondary cities of Sub-Saharan Africa has intensified pressure on land resources and infrastructure, exposing the limitations of conventional planning systems reliant on periodic assessments. While Geographic Information Systems (GIS), Remote Sensing (RS), and Artificial Intelligence (AI) have improved monitoring, their integration into continuous Spatial Digital Twin (SDT) environments remain limited in Nigeria. To address this gap, this study presents an empirical baseline analysis and formulates a conceptual Spatial Digital Twin framework for sustainable urban growth monitoring in Owerri Metropolis, Nigeria. Historical land use and land cover dynamics between 2000 and 2025 were first quantified using multi-temporal Landsat imagery in Google Earth Engine via Random Forest classification to establish the empirical foundation. Based on observed growth patterns, the study identified key spatial, environmental, and administrative data requirements and formulated a five-layer system architecture. Comprising Physical Environment, Data Acquisition, Spatial Integration, Analytical Intelligence, and Application layers, the framework establishes an architectural roadmap for integrating multi-source spatial data, scenario simulations, and predictive analysis into local planning. The practical utility of the framework is demonstrated through targeted applications in urban expansion tracking, flood hazard evaluation, and Sustainable Development Goal (SDG) 11 monitoring. This study provides a scalable, transferable blueprint to guide municipal authorities rather than claiming an active, fully deployed live software or sensor environment..","撒哈拉以南非洲次级城市的快速城市扩张加剧了土地资源和基础设施的压力，暴露出依赖周期性评估的传统规划体系的局限性。尽管地理信息系统（GIS）、遥感（RS）和人工智能（AI）已改善了监测手段，但在尼日利亚，将其整合到连续的空间数字孪生（SDT）环境中仍存在局限。为弥补这一差距，本研究提出了实证基线分析，并构建了一个概念性空间数字孪生框架，用于尼日利亚奥韦里大都市的可持续城市增长监测。研究首先利用Google Earth Engine中的多时相Landsat影像，通过随机森林分类对2000年至2025年间的历史土地利用与土地覆盖动态进行了量化，以建立实证基础。基于观测到的增长模式，研究识别了关键的空间、环境和行政数据需求，并构建了一个五层系统架构。该框架由物理环境层、数据采集层、空间集成层、分析智能层和应用层组成，为将多源空间数据、情景模拟和预测分析整合到地方规划中建立了架构路线图。该框架的实际效用通过在城市扩张追踪、洪水灾害评估和可持续发展目标（SDG）11监测中的针对性应用得到了验证。本研究提供了一个可扩展、可迁移的蓝图，以指导市政当局，而非声称已建成一个活跃的、全面部署的实时软件或传感器环境。","SPC Journal of Environmental Sciences","2026-10-05T00:00:00Z",{"impact":76,"substance":76,"depth":76,"authority":76,"freshness":76,"relevant":76,"comment":99},"研究聚焦尼日利亚城市空间数字孪生与土地利用监测，属城市地理与遥感领域，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。",[101],{"name":96,"url":93},[27,28,103,104],"土地利用","城市扩张",[],{"status":34,"locked":14,"version":35,"method":36,"evidence":107},{"candidates":108,"agricultural_evidence":14,"reason":59},[109,118,123,127,134],{"code":110,"score":111,"supported":42,"title":112,"abstract":113,"tags":117},"I4",9,[],[114,115,116],"地理信息","GIS","geographic information",[],{"code":49,"score":41,"supported":42,"title":119,"abstract":120,"tags":122},[],[27,121],"digital twin",[27],{"code":40,"score":41,"supported":42,"title":124,"abstract":125,"tags":126},[],[45,46],[28],{"code":128,"score":129,"supported":42,"title":130,"abstract":131,"tags":133},"I2",3,[],[132],"artificial intelligence",[],{"code":135,"score":22,"supported":14,"title":136,"abstract":137,"tags":138},"H6",[],[],[103],[140,141],"土地利用 城市扩张 数字孪生 遥感监测","土地利用 城市扩张","土地利用城市扩张数字孪生遥感监测-4349",2,"10.14419\u002F66ab3y55",{"doi":144,"openalex_id":146,"authors":147,"venue":96,"cited_by_count":76,"oa_url":152,"card":153,"direction":84,"ingested_from":85},"W7220677187",[148,150],{"name":149,"orcid":9},"Chukwudi Andy Okereke",{"name":151,"orcid":9},"Prince Chinomso Onuoha","https:\u002F\u002Fwww.sciencepubco.com\u002Findex.php\u002FJES\u002Farticle\u002Fdownload\u002F38502\u002F20173",{"tldr":154,"method":155,"finding":156,"direction":157,"opportunity":158},"基于Landsat影像分析尼日利亚Owerri市2000-2025年城市扩张，提出五层空间数字孪生框","Google Earth Engine多时相Landsat影像与随机森林分类，构","城市扩张显著，SDT框架可支持扩张追踪、洪水评估与SDG11监测。","数字乡村与农业信息化","在非洲次级城市验证SDT实时数据集成与预测能力，并拓展至农业用地监测。","2026-10-07T23:30:12.781769Z",{"id":161,"title":162,"url":163,"summary":164,"summary_zh":165,"content":9,"source_name":166,"source_url":163,"published_at":167,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":168,"score_detail":169,"sources":173,"tags":175,"primary_topic":178,"secondary_topics":183,"classification":184,"search_phrases":212,"slug":215,"view_count":129,"doi":216,"paper":217,"created_at":237},3676,"Assessing Land Use, Land Cover Changes, and Urbanization Impacts on Water Stress in West African Watersheds: A Systematic Methodological Review","https:\u002F\u002Fdoi.org\u002F10.3791\u002F72287","Water stress is one of the major environmental and socio-economic constraints in West Africa, where population growth, agricultural expansion, soil sealing, hydroclimatic variability, and rising pressure on surface water and groundwater rapidly transform watershed functioning. Evaluating the impacts of land use and land cover (LULC) changes and urbanization requires methodological approaches that link the spatial dynamics of landscapes to observed or simulated hydrological responses. This review provides a comparative and critical analysis of the main techniques used in the region: instrumented watersheds and in situ observations, controlled field and laboratory experiments, satellite remote sensing and multi-temporal analysis, groundwater-oriented methods, conceptual, semi-distributed, physically based, and integrated surface-subsurface hydrological modeling, statistical and machine-learning approaches, and hybrid methods coupling land-use and climate scenarios. The search and selection process followed a transparent, PRISMA-based protocol and yielded 51 included records, of which 35 are anchored in West Africa. Hydrological modeling driven by remote sensing dominates the corpus, accounting for 15 of the 35 West African records (43%), particularly with SWAT, ACRU, WaSiM, CEQUEAU, SHETRAN, HydroGeoSphere, and ParFlow-CLM; reported Nash-Sutcliffe efficiency (NSE), Kling-Gupta efficiency (KGE), and coefficient of determination generally range from about 0.6 to 0.9, which is satisfactory to very good against standard evaluation guidelines. Statistical and machine-learning studies account for 8 of 35 records, whereas urban- and groundwater-focused studies remain scarce. Moreover, 8 of 35 records originate from a single research network, so several regional conclusions rest on a narrow and partly non-independent evidence base. In situ networks remain essential for process understanding but are constrained by cost and low density; purely satellite-based approaches suffer from cloud cover and spectral confusion in subhumid zones. The most promising advances lie in multi-source, multi-scale frameworks combining targeted instrumentation, satellite time series, integrated hydrological modeling, territorial scenarios, systematic uncertainty analyses, and co-construction with water-management and planning actors.","水资源压力是西非主要的环境和社会经济制约因素之一。在该地区，人口增长、农业扩张、土壤封闭、水文气候变率以及地表水和地下水压力的不断上升，正迅速改变着流域功能。评估土地利用与土地覆盖（LULC）变化及城市化带来的影响，需要将景观的空间动态与观测或模拟的水文响应相联系的方法学途径。本综述对该地区所采用的主要技术进行了比较性和批判性分析：受控流域与实地观测、受控野外与实验室实验、卫星遥感与多时相分析、面向地下水的方法、概念性、半分布式、基于物理过程及地表-地下耦合的综合水文模型、统计与机器学习方法，以及耦合土地利用与气候情景的混合方法。检索与筛选过程遵循透明、基于PRISMA的协议，最终纳入51篇文献，其中35篇以西非为研究区。由遥感驱动的水文建模在文献主体中占主导地位，在35篇西非文献中占15篇（43%），尤以SWAT、ACRU、WaSiM、CEQUEAU、SHETRAN、HydroGeoSphere和ParFlow-CLM为主；所报告的纳什-萨特克利夫效率（NSE）、克林-古普塔效率（KGE）和决定系数通常约在0.6至0.9之间，对照标准评价指南属于满意至很好水平。统计与机器学习研究在35篇文献中占8篇，而聚焦城市和地下水的研究仍然稀少。此外，35篇文献中有8篇来自同一研究网络，因此若干区域性结论建立在狭窄且部分非独立的证据基础之上。实地观测网络对于过程理解仍然不可或缺，但受成本和低密度制约；纯卫星方法在半湿润区则受云覆盖和光谱混淆的影响。最有前景的进展在于多源、多尺度框架，其结合了针对性观测、卫星时间序列、综合水文建模、区域情景、系统不确定性分析，以及与水资源管理和规划主体的共同构建。","Journal of Visualized Experiments","2026-09-25T00:00:00Z",66,{"impact":21,"substance":170,"depth":171,"authority":20,"freshness":21,"relevant":22,"comment":172},20,17,"系统综述方法学扎实、数据翔实，但聚焦西非流域且与国内农业信息化关联较弱，仅具方法参考价值。",[174],{"name":166,"url":163},[176,28,103,29,177],"机器学习","西非流域",{"code":40,"slug":179,"name":180,"path":181,"parent_code":182},"remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing","I",[],{"status":185,"locked":14,"version":35,"method":36,"evidence":186},"classified",{"candidates":187,"agricultural_evidence":42},[188,192,199,204,208],{"code":40,"score":41,"supported":42,"title":189,"abstract":190,"tags":191},[],[45,46],[28],{"code":193,"score":88,"supported":42,"title":194,"abstract":195,"tags":198},"H2",[],[196,197],"土壤","soil",[],{"code":55,"score":50,"supported":42,"title":200,"abstract":201,"tags":203},[],[202],"水资源",[29],{"code":128,"score":50,"supported":42,"title":205,"abstract":206,"tags":207},[],[176],[176],{"code":135,"score":22,"supported":14,"title":209,"abstract":210,"tags":211},[],[],[103],[213,214],"西非流域 土地利用 水文模型","SWAT 遥感 水资源压力","西非流域土地利用水文模型-3676","10.3791\u002F72287",{"doi":216,"openalex_id":218,"authors":219,"venue":166,"cited_by_count":76,"oa_url":9,"card":231,"direction":235,"ingested_from":85},"W7214394296",[220,222,225,227,229],{"name":221,"orcid":9},"Valère-Carin Jofack Sokeng",{"name":223,"orcid":224},"Nakouana Timité","https:\u002F\u002Forcid.org\u002F0000-0002-3894-1450",{"name":226,"orcid":9},"Toto Marc Zahui",{"name":228,"orcid":9},"Kouamé Koffi Fernand",{"name":230,"orcid":9},"Koné Tiémoman",{"tldr":232,"method":233,"finding":234,"direction":235,"opportunity":236},"系统综述西非流域土地利用变化与城市化对水资源压力的评估方法。","PRISMA系统综述，纳入51篇文献，比较遥感、水文模型与机器学习等方法。","遥感驱动水文模型占主导（43%），城市与地下水研究稀缺，证据基础偏窄。","农业遥感与作物表型","可构建多源多尺度框架，融合实地观测、遥感时序与集成水文模型，并开展不确定性分析与利益相关者协同。","2026-09-28T23:30:31.949583Z",{"id":239,"title":240,"url":241,"summary":242,"summary_zh":9,"content":9,"source_name":243,"source_url":9,"published_at":244,"category":245,"cover_url":9,"hotness":13,"is_selected":14,"score":246,"score_detail":247,"sources":251,"tags":253,"primary_topic":257,"secondary_topics":261,"classification":262,"search_phrases":288,"slug":291,"view_count":143,"doi":9,"paper":9,"created_at":292},2261,"北大荒集团智慧农业:4800万亩耕地打造\"地块链\"式数字孪生管理","https:\u002F\u002Fszb.farmer.com.cn\u002Fnmrb\u002Fhtml\u002F2026\u002F20260907\u002F20260907_8\u002Fnmrb_20260907_13398_8_2096696093043691617.html","北大荒信息有限公司智慧农业大数据中心将4800万亩耕地切分成27万个地块,每块都有编号和二维码。遥感平台接入48颗卫星每5天做一次体检,5000台田间采集设备、600个气象站、500台虫情测报灯昼夜值守,3.3万台物联网设备统一接入\"地块链\"管理。5年累计为农户线上放贷400亿元。","农民日报","2026-09-06T16:00:00Z","报道",85,{"impact":248,"substance":249,"depth":19,"authority":17,"freshness":88,"relevant":22,"comment":250},26,23,"北大荒4800万亩耕地实现地块级数字孪生管理，卫星遥感、物联网与地块链数据规模具体，属产业级智慧农业标杆案例，值得入选每日精选。",[252],{"name":243,"url":241},[254,255,256,27,28],"数字乡村","智慧农业","农业物联网",{"code":182,"slug":258,"name":259,"path":260,"parent_code":9},"digital-agriculture","数字农业与前沿技术","\u002Ftopic\u002Fdigital-agriculture",[],{"status":263,"locked":14,"version":35,"method":36,"evidence":264},"partial",{"candidates":265,"agricultural_evidence":42,"reason":287},[266,271,275,281],{"code":49,"score":267,"supported":42,"title":268,"abstract":269,"tags":270},21,[255,27],[255],[27,255],{"code":40,"score":50,"supported":42,"title":272,"abstract":273,"tags":274},[],[45],[28],{"code":276,"score":50,"supported":42,"title":277,"abstract":278,"tags":280},"I5",[],[279],"物联网",[256],{"code":282,"score":50,"supported":42,"title":283,"abstract":284,"tags":286},"I6",[],[285],"农业大数据",[254],"一级领域明确，二级方向需要细分",[289,290],"农业物联网 数字乡村 数字孪生 智慧农业","农业物联网 数字乡村","农业物联网数字乡村数字孪生智慧农业-2261","2026-09-13T00:04:03.310614Z",{"id":294,"title":295,"url":296,"summary":297,"summary_zh":298,"content":9,"source_name":299,"source_url":296,"published_at":300,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":301,"score_detail":302,"sources":304,"tags":306,"primary_topic":9,"secondary_topics":310,"classification":311,"search_phrases":342,"slug":345,"view_count":76,"doi":346,"paper":347,"created_at":371},5577,"Assessing Land Use and Land Cover Change in the Jamanxim River Region (Brazilian Amazon) from 2015 to 2025 Using CBERS-4\u002FPAN Imagery","https:\u002F\u002Fdoi.org\u002F10.29150\u002Fjhrs.v16i4.269068","Land use and land cover (LULC) changes in the Amazon are among the main drivers of biodiversity loss, ecosystem degradation, and the intensification of climate change. This study aimed to analyze the multitemporal dynamics of LULC around the Jamanxim River, Pará, Brazilian Amazon, between 2015 and 2025, using high-resolution imagery from the CBERS-4\u002FPAN satellite. The study area covers 492.74 km², including part of the Jamanxim National Forest, a conservation unit under strong pressure from agricultural expansion and logging activities. The methodology included geometric correction of the images, Gram–Schmidt pansharpening, and supervised classification with the Random Forest algorithm, validated with historical imagery from Google Earth Pro. Thematic maps of land use and cover were generated, and performance metrics such as overall accuracy, omission and commission errors, and F1-scores were assessed. The results indicated a significant reduction in forest cover, from 412.28 km² in 2015 to 355.47 km² in 2025 (–13.78%). Non-vegetated areas increased by 132.47%, while agricultural areas expanded by 54.97%. The forest and water body classes showed high accuracy (F1-score > 0.95), while confusion persisted between agricultural and bare soil classes. Overall accuracy remained above 90% across all years, with the highest performance recorded in 2020 (96.31%). These results highlight the potential of CBERS-4\u002FPAN imagery for monitoring multitemporal changes in tropical forest landscapes. At the same time, they reveal the intensification of deforestation and the growing threats to conservation in the Amazon, reinforcing the importance of remote sensing for environmental management and policy support.","亚马逊地区的土地利用与土地覆盖（LULC）变化是生物多样性丧失、生态系统退化以及气候变化加剧的主要驱动因素之一。本研究旨在利用CBERS-4\u002FPAN卫星的高分辨率影像，分析2015年至2025年间巴西亚马孙州雅曼辛河（Jamanxim River）周边土地利用与土地覆盖的多时相动态。研究区面积为492.74 km²，包括雅曼辛国家森林（Jamanxim National Forest）的一部分，该保护区正面临农业扩张和采伐活动的强烈压力。研究方法包括影像几何校正、Gram–Schmidt全色锐化以及基于随机森林（Random Forest）算法的监督分类，并利用Google Earth Pro的历史影像进行验证。研究生成了土地利用与覆盖专题图，并评估了总体精度、漏分误差与错分误差以及F1分数等性能指标。结果表明，森林覆盖显著减少，从2015年的412.28 km²降至2025年的355.47 km²（–13.78%）。无植被区域增加了132.47%，农业区域扩张了54.97%。森林和水体类别表现出较高精度（F1分数 > 0.95），而农业类别与裸土类别之间仍存在混淆。各年份总体精度均保持在90%以上，其中2020年性能最高（96.31%）。这些结果凸显了CBERS-4\u002FPAN影像在监测热带森林景观多时相变化方面的潜力，同时揭示了亚马逊地区森林砍伐的加剧以及保护面临的日益增长的威胁，进一步强调了遥感在环境管理和政策支持中的重要性。","Journal of Hyperspectral Remote Sensing","2026-10-20T00:00:00Z",78,{"impact":19,"substance":18,"depth":171,"authority":17,"freshness":111,"relevant":22,"comment":303},"该研究利用CBERS-4\u002FPAN影像量化亚马逊保护区十年间森林减少13.78%，方法规范、结论可靠，对遥感监测与生态保护有参考价值，但地域性强、与国内三农直接关联有限。",[305],{"name":299,"url":296},[28,103,307,308,309],"森林保护","亚马逊","CBERS-4",[],{"status":34,"locked":14,"version":35,"method":36,"evidence":312},{"candidates":313,"agricultural_evidence":42,"reason":341},[314,320,324,331,335],{"code":135,"score":41,"supported":42,"title":315,"abstract":316,"tags":319},[],[317,318],"生物多样性","biodiversity",[103],{"code":40,"score":41,"supported":42,"title":321,"abstract":322,"tags":323},[],[45,46],[28],{"code":325,"score":88,"supported":42,"title":326,"abstract":327,"tags":330},"H7",[],[328,329],"气候变化","climate change",[],{"code":193,"score":129,"supported":42,"title":332,"abstract":333,"tags":334},[],[197],[],{"code":336,"score":129,"supported":42,"title":337,"abstract":338,"tags":340},"I7",[],[339],"研究方法",[],"多个产业证据相当，需要确认主归属",[343,344],"CBERS-4 亚马逊 土地利用","Jamanxim 森林覆盖 遥感","CBERS-4亚马逊土地利用-5577","10.29150\u002Fjhrs.v16i4.269068",{"doi":346,"openalex_id":348,"authors":349,"venue":299,"cited_by_count":76,"oa_url":296,"card":366,"direction":235,"ingested_from":85},"W7223141286",[350,353,355,358,361,364],{"name":351,"orcid":352},"Ubiratan Joaquim da Silva","https:\u002F\u002Forcid.org\u002F0000-0001-7995-6416",{"name":354,"orcid":9},"Gabriel Henrique Santos Silva",{"name":356,"orcid":357},"Juarez Antonio da Silva","https:\u002F\u002Forcid.org\u002F0000-0002-2898-0309",{"name":359,"orcid":360},"Anderson Luiz Ribeiro de Paiva","https:\u002F\u002Forcid.org\u002F0000-0003-3475-1454",{"name":362,"orcid":363},"Leidjane Maria Maciel de Oliveira","https:\u002F\u002Forcid.org\u002F0000-0003-1251-6998",{"name":365,"orcid":9},"Sylvana Melo dos Santos",{"tldr":367,"method":368,"finding":369,"direction":235,"opportunity":370},"用CBERS-4\u002FPAN影像分析亚马逊Jamanxim河流域2015-2025年土地利用变化。","几何校正、Gram-Schmidt融合、随机森林监督分类，Google Eart","森林覆盖减少13.78%，农业扩张54.97%，裸地增132.47%，总体精度超90%。","可探索中巴地球资源卫星在热带森林退化监测中的业务化应用与多源数据融合。","2026-10-22T11:20:42.901761Z",{"id":373,"title":374,"url":375,"summary":376,"summary_zh":377,"content":9,"source_name":378,"source_url":375,"published_at":300,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":379,"score_detail":380,"sources":384,"tags":386,"primary_topic":391,"secondary_topics":395,"classification":396,"search_phrases":417,"slug":420,"view_count":76,"doi":421,"paper":422,"created_at":454},5576,"Land cover change and soil salinization in Mozambique: A counterfactual analysis over two decades (2001−2022)","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.catena.2026.110691","Soil salinization is a major issue that constrains the sustainable development of agriculture in arid, semi-arid, and coastal lowland areas. It is of great importance for regional land management and climate adaptation to clarify the influence of land cover change on soil salinization. This study aims to quantitatively assess the contribution of land cover change to soil salinization in Mozambique, where both rapid land cover transformation and salinization issues are evident. Firstly, we integrated soil profile electrical conductivity (EC) data, Landsat time-series remote sensing imagery, TerraClimate meteorological data, and the 30 m resolution land cover data, to construct a remote sensing-based EC inversion model for Mozambique. Secondly, we applied a spatially and environmentally constrained counterfactual matching method to quantitatively identify the contributions of different land cover changes on soil salinization trends. Our results reveal that: (1) the spatial distribution of soil salinization in Mozambique exhibits distinct a clear association with proximity to water bodies, with high EC areas primarily concentrated around Lake Malawi in the north and in the coastal regions of Greater Maputo in the south. (2) 26.98% of Mozambique's territory showed a trend of intensifying soil salinization, while 10.88% exhibited a decreasing trend. Areas with intensifying trends are primarily concentrated in the central alluvial plains, localized agricultural development zones, and coastal lowlands. (3) Urbanization was significantly associated with an increasing salinization trend after false discovery rate correction, suggesting that the expansion of impervious surfaces, changes in drainage patterns, and soil compaction may exacerbate localized salt accumulation. Agricultural expansion showed a negative trend difference, consistent with the potential influence of crop cover, tillage, and wet-season leaching, although this association was not significant after false discovery rate correction. The effects of ecological restoration and other factors were not statistically significant. In addition to elucidating the heterogeneous impacts of land cover changes in Mozambique on soil salinization trends, this study also provides methodological guidance and a scientific basis for monitoring\u002Fmanaging soil salinity risks in other coastal lowlands.","土壤盐渍化是制约干旱、半干旱及沿海低地地区农业可持续发展的主要问题。阐明土地覆盖变化对土壤盐渍化的影响，对区域土地管理和气候适应具有重要意义。本研究旨在定量评估土地覆盖变化对莫桑比克土壤盐渍化的贡献，该国土地覆盖转型迅速且盐渍化问题突出。首先，我们整合了土壤剖面电导率（EC）数据、Landsat时间序列遥感影像、TerraClimate气象数据以及30 m分辨率土地覆盖数据，构建了基于遥感的莫桑比克EC反演模型。其次，我们采用空间与环境约束的反事实匹配方法，定量识别不同土地覆盖变化对土壤盐渍化趋势的贡献。研究结果表明：（1）莫桑比克土壤盐渍化的空间分布与水体邻近性呈现明显的关联，高EC区域主要集中于北部的马拉维湖周边以及南部大马普托沿海地区。（2）莫桑比克26.98%的国土面积呈现土壤盐渍化加剧趋势，而10.88%呈现减轻趋势。加剧趋势区域主要集中于中部冲积平原、局部农业开发区及沿海低地。（3）经错误发现率校正后，城市化与盐渍化加剧趋势显著相关，表明不透水面扩张、排水格局改变及土壤压实可能加剧局部盐分累积。农业扩张呈现负向趋势差异，与作物覆盖、耕作及湿季淋洗的潜在影响一致，但该关联经错误发现率校正后不显著。生态恢复及其他因素的影响在统计上不显著。本研究不仅阐明了莫桑比克土地覆盖变化对土壤盐渍化趋势的异质性影响，还为其他沿海低地土壤盐渍化风险的监测与管理提供了方法学指导和科学依据。","CATENA",79,{"impact":381,"substance":18,"depth":19,"authority":382,"freshness":111,"relevant":22,"comment":383},16,14,"该研究基于遥感与反事实匹配方法，定量评估土地覆盖变化对盐渍化的贡献，方法新颖、结论可靠，对沿海低地盐渍化监测具有参考价值，但属境外区域研究，国内政策与产业影响有限。",[385],{"name":378,"url":375},[28,387,388,389,390],"莫桑比克","土壤盐渍化","土地覆盖变化","盐分反演",{"code":193,"slug":197,"name":392,"path":393,"parent_code":394},"土壤健康与改良","\u002Ftopic\u002Fenvironment\u002Fsoil","H",[],{"status":185,"locked":14,"version":35,"method":36,"evidence":397},{"candidates":398,"agricultural_evidence":42},[399,403,407,413],{"code":193,"score":382,"supported":42,"title":400,"abstract":401,"tags":402},[197],[196,197],[],{"code":40,"score":41,"supported":42,"title":404,"abstract":405,"tags":406},[],[45,46],[28],{"code":325,"score":88,"supported":42,"title":408,"abstract":409,"tags":412},[],[410,411],"气候适应","干旱",[],{"code":135,"score":22,"supported":14,"title":414,"abstract":415,"tags":416},[],[],[389],[418,419],"莫桑比克 土壤盐渍化 遥感","土地覆盖变化 盐渍化 反事实分析","莫桑比克土壤盐渍化遥感-5576","10.1016\u002Fj.catena.2026.110691",{"doi":421,"openalex_id":423,"authors":424,"venue":378,"cited_by_count":76,"oa_url":375,"card":449,"direction":235,"ingested_from":85},"W7223069171",[425,427,429,431,434,436,439,442,444,446],{"name":426,"orcid":9},"Yue Li",{"name":428,"orcid":9},"Mengfei Shi",{"name":430,"orcid":9},"Fei Zhang",{"name":432,"orcid":433},"Brian Alan Johnson","https:\u002F\u002Forcid.org\u002F0000-0003-1911-3585",{"name":435,"orcid":9},"Gowhar Meraj",{"name":437,"orcid":438},"Jaime Carlos Macuácua","https:\u002F\u002Forcid.org\u002F0000-0002-4822-6098",{"name":440,"orcid":441},"Pankaj Kumar","https:\u002F\u002Forcid.org\u002F0000-0002-5264-3951",{"name":443,"orcid":9},"Yuanfang Chai",{"name":445,"orcid":9},"Hongtao Xu",{"name":447,"orcid":448},"Xu Ma","https:\u002F\u002Forcid.org\u002F0000-0003-0644-7498",{"tldr":450,"method":451,"finding":452,"direction":235,"opportunity":453},"量化莫桑比克2001-2022年土地覆盖变化对土壤盐渍化的贡献。","融合EC剖面、Landsat时序与气候数据反演EC，并用空间环境约束的反事实匹配","26.98%区域盐渍化加剧；城市化显著关联盐渍化上升，农业扩张关联不显著。","可将反事实匹配框架迁移至其他滨海低地，并引入作物类型与灌溉制度细化农业扩张的盐渍化效应。","2026-10-22T11:20:42.713789Z",{"id":456,"title":457,"url":458,"summary":459,"summary_zh":460,"content":9,"source_name":461,"source_url":458,"published_at":462,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":379,"score_detail":463,"sources":465,"tags":467,"primary_topic":471,"secondary_topics":477,"classification":478,"search_phrases":494,"slug":497,"view_count":76,"doi":498,"paper":499,"created_at":510},5565,"A Unified Survival-Based Energy Framework Linking Plant Color, Stress, and Productivity","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23540961","Plant coloration, expressed through leaf greenness, floral pigmentation, and fruit color intensity, reflects the integrated outcome of pigment biosynthesis, optical absorption, metabolic regulation, and energy–mass exchange with the environment. While the biochemical pathways governing the synthesis and degradation of major pigment classes—including chlorophylls, carotenoids, and anthocyanins—are well established, existing models largely interpret color expression as a localized biochemical phenomenon. Such approaches do not explicitly account for whole-plant energy balance, transpiration-driven losses, or thermodynamic constraints, limiting their ability to explain widely observed patterns of color saturation, stress-induced fading, and species-specific stability across environmental gradients. Here we develop a unified framework for plant color generation and stability that treats pigmentation as a survival-limited energetic process embedded within the broader dynamics of absorption, transport, metabolism, and entropy production. Central to the framework is a dimensionless energy survival factor, Ψ=AE\u002FTE+ε where AE represents absorbed and retained energetic and elemental resources relevant to pigment formation, TE denotes transpiration-linked, metabolic, and environmental dissipation losses, and ε captures irreducible entropy-producing degradation inherent to non-equilibrium biological systems. By construction, 0\u003CΨ\u003C1, ensuring full compliance with the second law of thermodynamics. When combined with pigment-specific optical absorption coefficients and physiological limitation functions, the framework yields a physically interpretable description of both pigment concentration and color stability. Empirical ranges for absorbed photosynthetically active radiation (≈45–70%), excitation survival (≈85–95%), and respiratory and transpiration losses (≈30–60% of assimilated resources) naturally constrain Ψ, predicting observed limits on sustained pigment accumulation without invoking biochemical inefficiency or ad hoc correction factors. The analysis demonstrates that increased light availability or enhanced biosynthetic capacity alone does not intensify coloration unless absorbed resources survive transport and loss processes. Stress-induced chlorosis, transient anthocyanin accumulation, and saturation of greenness under high irradiance emerge as direct consequences of reduced energy survival rather than impaired pigment synthesis. By explicitly separating survival from synthesis, the framework reconciles molecular-scale pigment biochemistry with whole-plant and ecosystem-scale color dynamics. This survival-based formulation provides a unified physical basis for interpreting plant color variation across species and environments and offers a scalable foundation for crop stress diagnostics, remote-sensing interpretation, and comparative plant phenotyping. More broadly, it extends survival-limited energy principles to visible plant traits, advancing plant science beyond isolated biochemical descriptions toward a systems-level understanding of how energy governs phenotypic expression.","植物色泽通过叶片绿色度、花色苷着色和果实颜色强度体现，反映了色素生物合成、光学吸收、代谢调控以及与环境的能量-物质交换的综合结果。尽管主要色素类别——包括叶绿素、类胡萝卜素和花青素——的合成与降解生化途径已较为明确，但现有模型大多将颜色表达解释为局部生化现象。此类方法未明确考虑整株植物能量平衡、蒸腾驱动的损耗或热力学约束，限制了其解释广泛观察到的颜色饱和度、胁迫诱导褪色以及跨环境梯度的物种特异性稳定性等模式的能力。本文构建了一个统一的植物颜色生成与稳定性框架，将色素沉着视为一种受生存限制的能量过程，并将其嵌入吸收、运输、代谢和熵产生的更广泛动力学之中。该框架的核心是一个无量纲能量生存因子Ψ=AE\u002FTE+ε，其中AE代表与色素形成相关的被吸收并保留的能量和元素资源，TE表示与蒸腾相关的、代谢的和环境的耗散损失，ε则捕捉非平衡生物系统固有的不可约熵产生降解。根据构建方式，0\u003CΨ\u003C1，确保完全符合热力学第二定律。当与色素特异性光学吸收系数和生理限制函数相结合时，该框架可对色素浓度和颜色稳定性给出具有物理可解释性的描述。吸收性光合有效辐射（约45–70%）、激发能存活率（约85–95%）以及呼吸和蒸腾损失（约占同化资源的30–60%）的经验范围自然约束了Ψ，从而预测出所观察到的持续色素积累限度，而无需引入生化低效性或特设校正因子。分析表明，仅增加光照可用性或增强生物合成能力并不会加深颜色，除非被吸收的资源能够在运输和损失过程中存活下来。胁迫诱导的黄化、瞬时花青素积累以及高辐照下绿色度饱和，均表现为能量生存率降低而非色素合成受损的直接后果。通过明确分离生存","Zenodo (CERN European Organization for Nuclear Research)","2026-10-21T00:00:00Z",{"impact":19,"substance":18,"depth":19,"authority":17,"freshness":111,"relevant":22,"comment":464},"提出以能量生存因子统一解释植物颜色与胁迫的物理框架，方法新颖且对遥感解译和作物诊断有潜在价值，但属预印本理论模型，尚缺田间验证。",[466],{"name":461,"url":458},[255,28,468,469,470],"植物表型","作物胁迫诊断","能量平衡",{"code":472,"slug":473,"name":474,"path":475,"parent_code":476},"B1","vegetables","蔬菜","\u002Ftopic\u002Fhorticulture\u002Fvegetables","B",[],{"status":185,"locked":14,"version":35,"method":36,"evidence":479},{"candidates":480,"agricultural_evidence":42},[481,486,490],{"code":472,"score":129,"supported":42,"title":482,"abstract":483,"tags":485},[],[484],"萝卜",[],{"code":49,"score":22,"supported":14,"title":487,"abstract":488,"tags":489},[],[],[255],{"code":40,"score":22,"supported":14,"title":491,"abstract":492,"tags":493},[],[],[28],[495,496],"植物颜色 能量生存因子","作物胁迫 遥感诊断","植物颜色能量生存因子-5565","10.5281\u002Fzenodo.23540961",{"doi":498,"openalex_id":500,"authors":501,"venue":461,"cited_by_count":76,"oa_url":458,"card":505,"direction":235,"ingested_from":85},"W7223098474",[502],{"name":503,"orcid":504},"Mokhdum Azam Mashrafi","https:\u002F\u002Forcid.org\u002F0009-0002-1801-1130",{"tldr":506,"method":507,"finding":508,"direction":235,"opportunity":509},"提出基于生存的能量框架，用能量存活因子解释植物颜色生成与稳定性。","构建无量纲能量存活因子Ψ=AE\u002F(TE+ε)，结合色素吸收系数与生理限制函数。","颜色深浅取决于吸收资源经运输损耗后的存活率，而非单纯合成能力。","可将Ψ因子与冠层光谱\u002F表型遥感结合，发展胁迫早期诊断与生产力预测模型。","2026-10-22T11:20:31.195819Z"]