[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-1761":3,"related-1761":80},{"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":22,"classification":23,"search_phrases":52,"slug":53,"view_count":15,"doi":54,"paper":55,"created_at":79},1761,"Assessment of the Suitability of Using the WaterSafe Tool to Support Decision-Making in the Context of Water Reuse Based on Real-World Data from Poland and Finland","https:\u002F\u002Fdoi.org\u002F10.55845\u002Fdtq1wj83","Growing pressure on freshwater resources, climate change, and increasing water demand reinforce the need for safe and sustainable reuse of treated wastewater. Decision-support tools are an essential element in the strategic planning of water reuse systems because they integrate regulatory requirements with data on wastewater treatment technology performance. This paper aimed to validate the WaterSafe decision-support tool using real-world data from three urban wastewater treatment plants located in Poland and Finland. Wastewater quality data from these facilities were used as input parameters for the WaterSafe tool to assess compliance with reclaimed water quality requirements for diverse quality classes and to identify critical parameters and necessary technological barriers in various reuse scenarios. The recommendations generated by the tool were then verified through a comparative analysis. The results indicate the usefulness of the WaterSafe tool for decision support in planning and optimising water reuse systems under diverse climatic and operating conditions.","淡水资源的日益紧张、气候变化以及用水需求的不断增长，强化了对处理后的废水进行安全可持续再利用的必要性。决策支持工具在水回用系统的战略规划中至关重要，因为它们将法规要求与废水处理技术性能数据相结合。本文旨在利用来自波兰和芬兰三座城市污水处理厂的实际数据，对WaterSafe决策支持工具进行验证。这些设施的水质数据被用作WaterSafe工具的输入参数，以评估其在不同水质等级下对再生水水质要求的符合性，并识别关键参数及在不同回用场景中必要的技术屏障。随后，通过对比分析对工具生成的建议进行了验证。结果表明，WaterSafe工具在多样化的气候和运行条件下，对水回用系统的规划与优化决策支持具有实用性。",null,"Circular Economy","2026-09-04T00:00:00Z","论文",10,false,0,{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":17},"主题为城市污水回用决策工具，与三农、农业信息化无直接关联，不进入精选。",[19],{"name":10,"url":6},[21],"水资源",[],{"status":24,"locked":14,"version":25,"method":26,"evidence":27},"needs_review","2026-10-22.2","rules",{"candidates":28,"agricultural_evidence":14,"reason":51},[29,38,44],{"code":30,"score":31,"supported":32,"title":33,"abstract":34,"tags":37},"H7",6,true,[],[35,36],"气候变化","climate change",[],{"code":39,"score":40,"supported":32,"title":41,"abstract":42,"tags":43},"H3",4,[],[21],[21],{"code":45,"score":46,"supported":32,"title":47,"abstract":48,"tags":50},"I2",3,[],[49],"decision support",[],"农业相关性需要复核",[],"AssessmentoftheSuitabilityofUsingtheWate-1761","10.55845\u002Fdtq1wj83",{"doi":54,"openalex_id":56,"authors":57,"venue":10,"cited_by_count":15,"oa_url":70,"card":71,"direction":77,"ingested_from":78},"W7208724453",[58,61,64,67],{"name":59,"orcid":60},"Dominika Szołdrowska","https:\u002F\u002Forcid.org\u002F0000-0003-4383-9685",{"name":62,"orcid":63},"Monika Wojciechowska","https:\u002F\u002Forcid.org\u002F0000-0002-6255-6421",{"name":65,"orcid":66},"Klara Ramm","https:\u002F\u002Forcid.org\u002F0000-0003-1707-4228",{"name":68,"orcid":69},"Marzena Smol","https:\u002F\u002Forcid.org\u002F0000-0001-5833-2954","https:\u002F\u002Fcirculareconomyjournal.org\u002Fojs\u002FJoCE\u002Farticle\u002Fdownload\u002F507\u002F261",{"tldr":72,"method":73,"finding":74,"direction":75,"opportunity":76},"验证WaterSafe决策支持工具在波兰和芬兰污水处理厂水回用规划中的适用性。","使用波兰和芬兰三个污水处理厂的真实水质数据作为输入，评估WaterSafe工具。","WaterSafe工具在多样气候和运行条件下对水回用系统规划优化具有实用性。","其他","可探索WaterSafe工具在更多地区或农业灌溉水回用场景的适用性，并集成实时监测数据以增强决策支持。","智慧农业 \u002F 农业物联网","openalex","2026-09-06T23:30:08.883628Z",{"total":46,"page":81,"page_size":46,"items":82},1,[83,160,243],{"id":84,"title":85,"url":86,"summary":87,"summary_zh":88,"content":9,"source_name":89,"source_url":86,"published_at":90,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":91,"sources":93,"tags":95,"primary_topic":9,"secondary_topics":98,"classification":99,"search_phrases":123,"slug":126,"view_count":15,"doi":127,"paper":128,"created_at":159},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","Frontiers in Water","2026-10-16T00:00:00Z",{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":92},"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。",[94],{"name":89,"url":86},[96,21,97],"遥感","地下水管理",[],{"status":24,"locked":14,"version":25,"method":26,"evidence":100},{"candidates":101,"agricultural_evidence":14,"reason":51},[102,111,117],{"code":103,"score":104,"supported":32,"title":105,"abstract":106,"tags":110},"I4",9,[],[107,108,109],"地理信息","GIS","geographic information",[],{"code":39,"score":112,"supported":32,"title":113,"abstract":114,"tags":116},7,[],[21,115],"water resource",[21],{"code":118,"score":112,"supported":32,"title":119,"abstract":120,"tags":122},"I3",[],[96,121],"remote sensing",[96],[124,125],"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":127,"openalex_id":129,"authors":130,"venue":89,"cited_by_count":15,"oa_url":152,"card":153,"direction":158,"ingested_from":78},"W7222733682",[131,134,137,140,143,146,149],{"name":132,"orcid":133},"Zhuldyzbek Onglassynov","https:\u002F\u002Forcid.org\u002F0000-0002-3587-5996",{"name":135,"orcid":136},"S. A. Kulbekova","https:\u002F\u002Forcid.org\u002F0000-0001-9796-7338",{"name":138,"orcid":139},"Raushan Amanzholova","https:\u002F\u002Forcid.org\u002F0000-0001-9129-1074",{"name":141,"orcid":142},"Aldiyar Abyshev","https:\u002F\u002Forcid.org\u002F0000-0001-9788-7485",{"name":144,"orcid":145},"Айгерим Алимгазина","https:\u002F\u002Forcid.org\u002F0009-0002-9966-5549",{"name":147,"orcid":148},"И.К. Рахметов","https:\u002F\u002Forcid.org\u002F0000-0002-6269-7734",{"name":150,"orcid":151},"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":154,"method":155,"finding":156,"direction":75,"opportunity":157},"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。","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","2026-10-17T23:30:28.555087Z",{"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":15,"score_detail":168,"sources":170,"tags":172,"primary_topic":9,"secondary_topics":175,"classification":176,"search_phrases":202,"slug":205,"view_count":15,"doi":206,"paper":207,"created_at":242},4581,"The influence of vapor pressure deficit changes on global terrestrial evapotranspiration","https:\u002F\u002Fdoi.org\u002F10.5194\u002Fhess-30-6249-2026","Abstract. Vapor pressure deficit (VPD) is increasingly recognized as the primary driver of uncertainty in future global evapotranspiration (E) trends. Accurately characterizing the spatiotemporal dynamics of VPD and clarifying its mechanisms of influence on terrestrial E are crucial for improving water-use efficiency, optimizing ecosystem structure and function, and addressing the challenges of global climate change. Previous studies, however, have largely concentrated on the physiological regulation of vegetation transpiration (Et) at the micro scale. Here, we integrate multi-source remote sensing products and reanalysis datasets spanning 1981–2020 to quantitatively disentangle the contributions of VPD to E and assess its role in shaping global terrestrial evapotranspiration. Our results demonstrate that: (1) across 60.7 % of the global land surface, E increased with rising VPD, while in arid regions with limited soil moisture the effect was generally weak; (2) VPD regulates E primarily by modulating Et, with elevated VPD directly enhancing transpiration; (3) the regulation of E by VPD exhibits a clear climatic gradient: arid zones (1.31 kPa) > humid zones (0.32 kPa), and the tropical (0.79 kPa) > temperate (0.68 kPa) > cold (0.28 kPa) > polar (0.07 kPa). By elucidating the dominant pathways and regional heterogeneity of VPD–E interactions at the global scale, this study strengthens the mechanistic understanding of the coupled warming–atmospheric aridity–water flux system. These findings provide quantitative constraints for predicting terrestrial water-cycle changes under global warming and offer scientific evidence to support targeted climate adaptation strategies worldwide.","摘要：饱和水汽压差（VPD）日益被认为是未来全球蒸散发（E）趋势不确定性的主要驱动因素。准确刻画VPD的时空动态并阐明其对陆地E的影响机制，对于提高水分利用效率、优化生态系统结构与功能以及应对全球气候变化挑战至关重要。然而，以往研究多集中于微观尺度上植被蒸腾（Et）的生理调控。本研究整合了1981—2020年多源遥感产品与再分析数据集，定量解析了VPD对E的贡献，并评估了其在塑造全球陆地蒸散发中的作用。结果表明：（1）在全球60.7%的陆表区域，E随VPD升高而增加，而在土壤水分受限的干旱区，该效应总体较弱；（2）VPD主要通过调控Et来调节E，VPD升高直接增强蒸腾作用；（3）VPD对E的调控呈现明显的气候梯度：干旱区（1.31 kPa）>湿润区（0.32 kPa），热带（0.79 kPa）>温带（0.68 kPa）>寒带（0.28 kPa）>极地（0.07 kPa）。本研究通过阐明全球尺度上VPD–E相互作用的主导路径与区域异质性，深化了对增暖–大气干燥–水通量耦合系统的机制认识。研究结果为预测全球变暖背景下陆地水循环变化提供了定量约束，并为全球有针对性的气候适应策略提供了科学依据。","Hydrology and earth system sciences","2026-10-09T00:00:00Z",{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":169},"该论文研究全球蒸散发与饱和水汽压差关系，属气候水文基础研究，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。",[171],{"name":166,"url":163},[35,173,174,21],"遥感监测","蒸散发",[],{"status":24,"locked":14,"version":25,"method":26,"evidence":177},{"candidates":178,"agricultural_evidence":14,"reason":51},[179,185,191,195],{"code":39,"score":180,"supported":32,"title":181,"abstract":183,"tags":184},16,[182],"evapotranspiration",[174,182],[21,174],{"code":30,"score":13,"supported":32,"title":186,"abstract":187,"tags":190},[],[35,188,189,36],"气候适应","干旱",[35],{"code":118,"score":112,"supported":32,"title":192,"abstract":193,"tags":194},[],[96,121],[173],{"code":196,"score":31,"supported":32,"title":197,"abstract":198,"tags":201},"H2",[],[199,200],"土壤","soil",[],[203,204],"VPD 蒸散发 遥感","气候变化 遥感监测 水资源 蒸散发","VPD蒸散发遥感-4581","10.5194\u002Fhess-30-6249-2026",{"doi":206,"openalex_id":208,"authors":209,"venue":166,"cited_by_count":15,"oa_url":163,"card":237,"direction":158,"ingested_from":78},"W4415375221",[210,212,215,218,221,224,226,228,231,234],{"name":211,"orcid":9},"Yuxin Miao",{"name":213,"orcid":214},"Guofeng Zhu","https:\u002F\u002Forcid.org\u002F0000-0003-0572-7041",{"name":216,"orcid":217},"Yuhao Wang","https:\u002F\u002Forcid.org\u002F0000-0002-8445-0361",{"name":219,"orcid":220},"Enwei Huang","https:\u002F\u002Forcid.org\u002F0009-0000-2197-884X",{"name":222,"orcid":223},"Qingyang Wang","https:\u002F\u002Forcid.org\u002F0000-0002-5633-2544",{"name":225,"orcid":9},"Yani Gun",{"name":227,"orcid":9},"Zhijie Zheng",{"name":229,"orcid":230},"Jiangwei Yang","https:\u002F\u002Forcid.org\u002F0000-0003-3814-0247",{"name":232,"orcid":233},"Wenmin Li","https:\u002F\u002Forcid.org\u002F0000-0002-4665-8508",{"name":235,"orcid":236},"Ziwen Liu","https:\u002F\u002Forcid.org\u002F0000-0002-7779-5978",{"tldr":238,"method":239,"finding":240,"direction":158,"opportunity":241},"整合1981-2020年多源遥感与再分析数据，量化VPD对全球陆地蒸散发的贡献与区域差异。","多源遥感产品与再分析数据集，定量归因分析VPD对E的贡献。","60.7%陆表E随VPD上升而增加，VPD主要通过调控植被蒸腾起作用，且干旱区响应强于湿润区。","可结合站点通量数据与机器学习，在农田尺度细化VPD-蒸腾阈值及土壤水分调节机制。","2026-10-10T23:30:27.611281Z",{"id":244,"title":245,"url":246,"summary":247,"summary_zh":248,"content":9,"source_name":249,"source_url":246,"published_at":250,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":251,"score_detail":252,"sources":258,"tags":260,"primary_topic":263,"secondary_topics":268,"classification":269,"search_phrases":294,"slug":297,"view_count":81,"doi":298,"paper":299,"created_at":314},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":253,"substance":254,"depth":255,"authority":256,"freshness":253,"relevant":81,"comment":257},8,18,15,13,"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。",[259],{"name":249,"url":246},[35,96,261,262,21],"NDVI","土地利用",{"code":118,"slug":264,"name":265,"path":266,"parent_code":267},"remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing","I",[],{"status":270,"locked":14,"version":25,"method":26,"evidence":271},"classified",{"candidates":272,"agricultural_evidence":32},[273,277,281,285,289],{"code":118,"score":253,"supported":32,"title":274,"abstract":275,"tags":276},[],[96,121],[261,96],{"code":30,"score":112,"supported":32,"title":278,"abstract":279,"tags":280},[],[35,36],[35],{"code":103,"score":31,"supported":32,"title":282,"abstract":283,"tags":284},[],[107,109],[],{"code":39,"score":40,"supported":32,"title":286,"abstract":287,"tags":288},[],[21],[21],{"code":290,"score":81,"supported":14,"title":291,"abstract":292,"tags":293},"H6",[],[],[262],[295,296],"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":298,"openalex_id":300,"authors":301,"venue":249,"cited_by_count":15,"oa_url":308,"card":309,"direction":77,"ingested_from":78},"W7212965144",[302,304,306],{"name":303,"orcid":9},"Pauline Angerlyline Wamalwa",{"name":305,"orcid":9},"Samson Mabwoga",{"name":307,"orcid":9},"Charity Konana","https:\u002F\u002Fjournals.e-palli.com\u002Fhome\u002Findex.php\u002Fajgt\u002Farticle\u002Fdownload\u002F8320\u002F4014",{"tldr":310,"method":311,"finding":312,"direction":158,"opportunity":313},"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"]