[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-5011":3,"related-5011":91},{"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":25,"classification":26,"search_phrases":45,"slug":48,"view_count":15,"doi":49,"paper":50,"created_at":90},5011,"Thirty-five years of urban expansion and thermal transformation: Integrating LULC change climate variability and population growth","https:\u002F\u002Fdoi.org\u002F10.1038\u002Fs41598-026-75473-5","Abstract Rapid urban expansion can alter surface thermal conditions, yet these changes are often evaluated without accounting for climatic variability, demographic pressures, and uncertainty. This study investigated long-term land-use\u002Fland-cover (LULC) and thermal dynamics in Jhang District, Pakistan, for 1990, 2000, 2010, 2020, and 2025 using Landsat-based LULC classification, land surface temperature (LST), surface urban heat island (SUHI), Urban Thermal Field Variance Index (UTFVI), spectral indices, Getis–Ord Gi* hotspot analysis, Pearson correlation, and multiple linear regression (MLR). Landsat-derived LST was independently compared with MODIS, while ERA5-Land, CHIRPS, and GHS-POP were used to characterize climatic and demographic context. Urban land expanded from 62.67 km² (0.98%) to 341.36 km² (5.37%), with 219.53 km² of Vegetated Land converted to Urban land. Maximum LST increased from 49.09 °C to 55.01 °C, while 99% confidence hot spots expanded from 856.42 to 1,041.31 km². LST was negatively correlated with NDVI and NDMI and positively correlated with NDBI and NDBaI. MLR models explained 54.2–83.1% of spatial LST variability. MODIS comparison showed strong spatial correspondence (R 2 = 0.752–0.843) despite systematic absolute-temperature differences. Air temperature increased significantly by 0.199 °C decade⁻¹, while population rose from 1.58 to 3.44 million. The findings demonstrate that Jhang’s thermal evolution reflects interacting land-cover, climatic, and demographic pressures rather than urban growth alone.","摘要 快速的城市扩张会改变地表热环境状况，但相关评估往往未充分考虑气候变率、人口压力及不确定性。本研究以巴基斯坦章县（Jhang District）为对象，基于Landsat土地利用\u002F土地覆盖（LULC）分类、地表温度（LST）、地表城市热岛（SUHI）、城市热场变异指数（UTFVI）、光谱指数、Getis–Ord Gi*热点分析、Pearson相关分析及多元线性回归（MLR），对1990、2000、2010、2020和2025年的长期LULC与热动态进行了研究。将Landsat反演LST与MODIS数据进行了独立对比，同时利用ERA5-Land、CHIRPS和GHS-POP刻画气候与人口背景。城市用地由62.67 km²（0.98%）扩张至341.36 km²（5.37%），其中219.53 km²的植被用地转为城市用地。最高LST由49.09 °C升至55.01 °C，而99%置信度热点面积由856.42 km²扩大至1,041.31 km²。LST与NDVI和NDMI呈负相关，与NDBI和NDBaI呈正相关。MLR模型可解释54.2–83.1%的LST空间变异。与MODIS对比显示，尽管存在系统性绝对温度差异，二者仍具有较强空间一致性（R² = 0.752–0.843）。气温以0.199 °C decade⁻¹的速率显著上升，人口由158万增至344万。研究结果表明，章县的热环境演变反映的是土地覆盖、气候与人口压力的交互作用，而非仅由城市增长所致。",null,"Scientific Reports","2026-10-13T00:00:00Z","论文",10,false,0,{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":17},"研究巴基斯坦城市扩张与热环境变化，属城市遥感与气候变化领域，与三农、农业信息化、数字乡村无直接关联，不建议进入每日精选。",[19],{"name":10,"url":6},[21,22,23,24],"遥感监测","地表温度","城市热岛","土地利用变化",[],{"status":27,"locked":14,"version":28,"method":29,"evidence":30},"needs_review","2026-10-22.2","rules",{"candidates":31,"agricultural_evidence":14,"reason":44},[32,38],{"code":33,"score":34,"supported":14,"title":35,"abstract":36,"tags":37},"I3",2,[],[],[22,21],{"code":39,"score":40,"supported":14,"title":41,"abstract":42,"tags":43},"H6",1,[],[],[24],"农业相关性需要复核",[46,47],"Jhang District 城市扩张 地表温度","Landsat LST 城市热岛","JhangDistrict城市扩张地表温度-5011","10.1038\u002Fs41598-026-75473-5",{"doi":49,"openalex_id":51,"authors":52,"venue":10,"cited_by_count":15,"oa_url":82,"card":83,"direction":87,"ingested_from":89},"W7221689409",[53,55,57,60,63,65,68,71,74,77,80],{"name":54,"orcid":9},"Rui Li",{"name":56,"orcid":9},"Yifei Yuan",{"name":58,"orcid":59},"Zainab Tahir","https:\u002F\u002Forcid.org\u002F0000-0002-1459-3527",{"name":61,"orcid":62},"Muhammad Haseeb","https:\u002F\u002Forcid.org\u002F0000-0002-0697-6894",{"name":64,"orcid":9},"Syed Amer Mahmoood",{"name":66,"orcid":67},"Aqil Tariq","https:\u002F\u002Forcid.org\u002F0000-0003-1196-1248",{"name":69,"orcid":70},"Khadeijah Yahya Faqeih","https:\u002F\u002Forcid.org\u002F0009-0002-4475-3453",{"name":72,"orcid":73},"Somayah Moshrif Alamri","https:\u002F\u002Forcid.org\u002F0009-0003-4601-9620",{"name":75,"orcid":76},"Eman Rafi Alamery","https:\u002F\u002Forcid.org\u002F0009-0006-7052-3239",{"name":78,"orcid":79},"Bilal Kemal","https:\u002F\u002Forcid.org\u002F0009-0002-2790-3229",{"name":81,"orcid":9},"Kucher E. Dmitry","https:\u002F\u002Fwww.nature.com\u002Farticles\u002Fs41598-026-75473-5_reference.pdf",{"tldr":84,"method":85,"finding":86,"direction":87,"opportunity":88},"基于35年Landsat数据，分析巴基斯坦Jhang地区城市扩张与地表热环境变化及其气候人口驱动。","Landsat LULC分类、LST、SUHI、UTFVI、热点分析、相关与多元","城市面积从62.67增至341.36 km²，最高LST升5.92°C，热环境受土地覆盖、气候和人口","农业遥感与作物表型","可引入多源遥感与机器学习，量化气候变异和人口增长对热环境的非线性贡献，并拓展至农业区热风险研究。","openalex","2026-10-15T23:30:32.222123Z",{"total":92,"page":40,"page_size":92,"items":93},6,[94,147,208,285,378,450],{"id":95,"title":96,"url":97,"summary":98,"summary_zh":99,"content":9,"source_name":100,"source_url":97,"published_at":101,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":102,"sources":104,"tags":106,"primary_topic":108,"secondary_topics":113,"classification":114,"search_phrases":126,"slug":129,"view_count":15,"doi":130,"paper":131,"created_at":146},5244,"Diurnal and Seasonal Surface Urban Heat Island Dynamics and Thermal Field Variance in Faridabad District, India: A MODIS-Based Assessment (2001–2025)","https:\u002F\u002Fdoi.org\u002F10.9734\u002Fajgr\u002F2026\u002Fv9i4489","Aims: To examine the spatial and temporal dynamics of land surface temperature (LST), urban–rural biophysical indices (BUI and NDVI), daily Surface Urban Heat Island Intensity (SUHII), and the Urban Thermal Field Variance Index (UTFVI) on a diurnal and seasonal basis in Faridabad District of northern India. Study Design: Multi-temporal geospatial remote sensing and statistical modelling study. Place and Duration of Study: Faridabad District (Urban Core and Rural Hinterland), Haryana, India; Summer and Winter Seasons Analysed through Six Benchmark Periods (2001, 2005, 2010, 2015, 2020, and 2025). Methodology: MODIS optical (MOD09A1) and thermal infrared (MOD11A2) composite data were analysed using Google Earth Engine at the daytime (10:30 am) and night-time (10:30 pm) overpasses. LST values were grouped into UTFVI (Urban Thermal Field Variance Index) classes. Multivariable OLS regressions and empirical biophysical sensitivities such as Vegetation Cooling Efficiency (VCE) and Impervious Heating Effect (IHE) were evaluated in Python using a stratified random grid (N = 2,500 sampling locations; 235 n 872 pixels). Results: Over the 25-year study period, the built-up gradient for winter (BUI) increased from +0.096 to +0.233 in association with agricultural changes and urban development in the region, while the vegetative deficit for winter (NDVI) increased from -0.061 to -0.136. In terms of temperature, Faridabad showed a SUHI regime during summer (ranging from to ), where the urban core nocturnal LST increased from in 2001 to in 2025, together with regional warming and compression of the urban DTR. The pre-monsoon diurnal regimes showed the SUCI phenomenon (as low as in 2005) owing to the effects of sensible heating in the desiccated fallow rural lands after harvest season. Urban Core thermal field variance showed that moderate thermal stress (UTFVI Class 3) expanded from to , while severe stress tiers (Classes 4–6) concentrated within industrial estates. Daytime vegetation provided consistent cooling (VCE up to per ), whereas nocturnal VCE exhibited temporal variability and diminished transpirational cooling following stomatal closure. Conclusion: Urban greening offers a strong mechanism for daytime heat mitigation but is insufficient to address independently nocturnal heat trapping resulting from the high thermal inertia of construction materials. The sustainable heat-mitigation strategy in industrial nodes entails a combination of urban greening and reflective cool coatings on industrial sheds and impervious surfaces.","目的：考察印度北部法里达巴德县地表温度（LST）、城乡生物物理指数（BUI和NDVI）、日间地表城市热岛强度（SUHII）以及城市热场方差指数（UTFVI）在昼夜和季节尺度上的时空动态。研究设计：多时相地理空间遥感与统计建模研究。研究地点与时长：印度哈里亚纳邦法里达巴德县（城市核心区与乡村腹地）；通过六个基准时段（2001、2005、2010、2015、2020和2025年）分析夏季与冬季。方法：利用Google Earth Engine分析MODIS光学（MOD09A1）和热红外（MOD11A2）合成数据，分别对应白天（上午10：30）和夜间（晚上10：30）过境时刻。LST值按UTFVI（城市热场方差指数）类别分组。在Python中采用分层随机网格（N=2，500个采样点；235 n 872像素）评估多变量OLS回归及经验生物物理敏感性指标，如植被冷却效率（VCE）和不透水面增温效应（IHE）。结果：在25年研究期内，冬季建成区梯度（BUI）从+0.096增至+0.233，与该地区农业变化和城市发展相关；冬季植被亏缺（NDVI）从-0.061增至-0.136。温度方面，法里达巴德在夏季呈现SUHI态势（范围为至），城市核心区夜间LST从2001年的增至2025年的，同时伴随区域增暖和城市日较差（DTR）压缩。季风前昼夜态势因收获季后干燥休耕乡村土地的感热加热效应而呈现SUCI现象（2005年低至）。城市核心区热场方差显示，中度热胁迫（UTFVI第3类）从扩大至，而严重胁迫层级（第4—6类）集中于工业园区。白天植被提供持续冷却（VCE最高达每），而夜间VCE呈现时间变异性，且气孔关闭后蒸腾冷却减弱。结论：城市绿化是白天热缓解的有力机制，但不足以独立应对建筑材料高热惯性导致的夜间热量滞留。工业节点的可持续热缓解策略需要将城市绿化与反射性","Asian Journal of Geographical Research","2026-10-17T00:00:00Z",{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":103},"印度城市热岛遥感研究，属城市气候与环境领域，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。",[105],{"name":100,"url":97},[21,22,23,107],"MODIS",{"code":33,"slug":109,"name":110,"path":111,"parent_code":112},"remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing","I",[],{"status":115,"locked":14,"version":28,"method":29,"evidence":116},"classified",{"candidates":117,"agricultural_evidence":120},[118],{"code":33,"score":119,"supported":120,"title":121,"abstract":122,"tags":125},8,true,[],[123,124],"遥感","remote sensing",[22,21],[127,128],"Faridabad 城市热岛","MODIS 地表温度 遥感","Faridabad城市热岛-5244","10.9734\u002Fajgr\u002F2026\u002Fv9i4489",{"doi":130,"openalex_id":132,"authors":133,"venue":100,"cited_by_count":15,"oa_url":97,"card":141,"direction":87,"ingested_from":89},"W7222794736",[134,137,139],{"name":135,"orcid":136},"Abhishek Malik","https:\u002F\u002Forcid.org\u002F0009-0009-4878-0871",{"name":138,"orcid":9},"Shubham Mor",{"name":140,"orcid":9},"Gaurav Kalotra",{"tldr":142,"method":143,"finding":144,"direction":87,"opportunity":145},"基于MODIS分析印度Faridabad 2001–2025年昼夜与季节地表城市热岛及热场差异演变。","MODIS光学与热红外数据、Google Earth Engine、OLS回归及","白天绿化降温显著，但夜间建筑热惯性导致的热滞留难以单独缓解。","可结合城乡梯度与作物休耕期感热效应，研究农业用地变化对昼夜热岛的非对称贡献。","2026-10-18T23:30:31.211684Z",{"id":148,"title":149,"url":150,"summary":151,"summary_zh":152,"content":9,"source_name":153,"source_url":150,"published_at":154,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":155,"sources":157,"tags":159,"primary_topic":9,"secondary_topics":161,"classification":162,"search_phrases":174,"slug":177,"view_count":40,"doi":178,"paper":179,"created_at":207},4830,"Spatiotemporal dynamics and drivers of surface urban heat island intensity in Dhaka, Bangladesh using geospatial remote sensing","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs44288-026-00767-0","Abstract Rapid urbanization has a profound impact on urban thermal environments, particularly in densely populated megacities. This study aims to assess the spatiotemporal dynamics of land surface temperature (LST), surface urban heat island (SUHI) intensity, land use\u002Fland cover (LULC) changes, and their primary driving factors in Dhaka City Corporation (DCC), Bangladesh, during the pre-monsoon season from 1990 to 2024. Using multi-temporal Landsat imagery and ancillary spatial datasets on Google Earth Engine (GEE), we observed a 194.54% increase in urban land, alongside substantial declines in vegetation (45.99%) and water bodies (75.57%). These classifications were validated with strong accuracy metrics (Overall Accuracy > 92%, Kappa > 89%, K-fold > 95%). Concurrently, LST rose dramatically, with areas exceeding 40 °C expanding to 70.06% by 2024, and traditional cool zones nearly disappearing. SUHI analysis showed a growing heat island effect, with recent nocturnal SUHI values surpassing daytime levels, indicating increased nighttime heat retention. Correlation and multiple linear regression analyses (R² = 0.801) identified NDBI, population density, and nighttime light intensity as the dominant positive drivers of LST, while vegetation and water bodies offered significant cooling potential. These findings highlight the urgent need to integrate ecological benchmarks (such as the 3-30-300 rule) and Sponge City designderscorn paradigms into Dhaka’s climate-resilient urban planning framework. Ultimately, this cloud-based multi-factor modeling framework provides a highly replicable, open-access blueprint to help rapidly growing megacities worldwide diagnose thermal vulnerability and mitigate escalating heat stress.","摘要 快速城市化对城市热环境产生了深远影响，尤其是在人口密集的超大城市中。本研究旨在评估1990年至2024年季风前季节孟加拉国达卡市辖区（DCC）地表温度（LST）、地表城市热岛（SUHI）强度、土地利用\u002F土地覆盖（LULC）变化及其主要驱动因素的时空动态。利用Google Earth Engine（GEE）平台上的多时相Landsat影像和辅助空间数据集，我们观察到城市用地增加了194.54%，同时植被（45.99%）和水体（75.57%）大幅减少。这些分类结果通过了严格的精度验证（总体精度>92%，Kappa>89%，K折>95%）。与此同时，LST急剧上升，超过40 °C的区域到2024年扩大至70.06%，传统凉爽区几乎消失。SUHI分析显示热岛效应不断增强，近期夜间SUHI值超过白天水平，表明夜间热量滞留加剧。相关分析和多元线性回归分析（R² = 0.801）确定NDBI、人口密度和夜间灯光强度是LST的主要正向驱动因素，而植被和水体则提供了显著的降温潜力。这些发现凸显了将生态基准（如3-30-300规则）和海绵城市设计范式纳入达卡气候韧性城市规划框架的迫切需求。最终，这一基于云的多因素建模框架提供了一个高度可复制、开放获取的蓝图，有助于全球快速发展的超大城市诊断热脆弱性并缓解不断升级的热胁迫。","Discover Geoscience","2026-10-11T00:00:00Z",{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":156},"研究孟加拉国达卡城市热岛与地表温度遥感监测，属城市气候与环境领域，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。",[158],{"name":153,"url":150},[21,23,24,160],"孟加拉国",[],{"status":27,"locked":14,"version":28,"method":29,"evidence":163},{"candidates":164,"agricultural_evidence":14,"reason":44},[165,170],{"code":33,"score":166,"supported":120,"title":167,"abstract":168,"tags":169},9,[124],[],[21],{"code":39,"score":40,"supported":14,"title":171,"abstract":172,"tags":173},[],[],[24],[175,176],"达卡 城市热岛 遥感","Landsat 地表温度 城市扩张","达卡城市热岛遥感-4830","10.1007\u002Fs44288-026-00767-0",{"doi":178,"openalex_id":180,"authors":181,"venue":153,"cited_by_count":15,"oa_url":201,"card":202,"direction":87,"ingested_from":89},"W7221469610",[182,185,188,191,194,196,198],{"name":183,"orcid":184},"Shacin Chandra Saha","https:\u002F\u002Forcid.org\u002F0009-0004-4007-145X",{"name":186,"orcid":187},"Ummya Ayman Satil","https:\u002F\u002Forcid.org\u002F0009-0002-1639-7156",{"name":189,"orcid":190},"Nitun Paul","https:\u002F\u002Forcid.org\u002F0009-0008-3515-8496",{"name":192,"orcid":193},"Dipok Chandra Nath","https:\u002F\u002Forcid.org\u002F0009-0006-8250-7244",{"name":195,"orcid":9},"Farhana Rahman Nepa",{"name":197,"orcid":9},"Mir Md. Tasnim Alam",{"name":199,"orcid":200},"Sukhen Goswami","https:\u002F\u002Forcid.org\u002F0009-0007-8342-6822","https:\u002F\u002Flink.springer.com\u002Fcontent\u002Fpdf\u002F10.1007\u002Fs44288-026-00767-0.pdf",{"tldr":203,"method":204,"finding":205,"direction":87,"opportunity":206},"基于Landsat与GEE分析达卡1990-2024年地表温度与热岛时空变化及驱动因素。","多时相Landsat影像、GEE云平台、LULC分类、相关与多元线性回归。","城市扩张194.54%，40°C以上区域达70.06%，NDBI、人口密度与夜间灯光是主要增温驱动。","可将该云平台多因子框架迁移至城郊农业区，探究热岛对农田蒸散与作物产量的耦合影响。","2026-10-13T23:30:25.362277Z",{"id":209,"title":210,"url":211,"summary":212,"summary_zh":213,"content":9,"source_name":214,"source_url":211,"published_at":215,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":216,"score_detail":217,"sources":223,"tags":225,"primary_topic":229,"secondary_topics":235,"classification":240,"search_phrases":260,"slug":263,"view_count":15,"doi":264,"paper":265,"created_at":284},5392,"Wetland Loss Associated with Hydro-Agricultural Development in North African Floodplains: Insights from a Historical Cartographic Analysis of the Gharb Plain (Morocco)","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fd18100642","Mediterranean floodplain wetlands are among the most productive ecosystems, yet they are increasingly threatened by agricultural intensification and hydrological modifications. In North Africa, most of these wetlands have been converted to agricultural lands using an extensive ‘drainage–irrigation’ process that has irreversibly degraded them. This study documents this loss through the illustrative example of the Gharb Plain in the northwest of Morocco. The agricultural development process of this plain, initiated in 1927 and only recently completed, is documented by both historical maps and remote sensing data, which we combined to reconstruct the simultaneous wetland decline and agriculture extension. The results reveal a dramatic decline in marshland ecosystems, covering about 88% of the original marshlands in less than one cycle. Several wetlands, including large ones, have entirely disappeared, particularly within the Sebou and Baht river floodplains. To ensure their human occupation, the drainage process and river canalization have been supported by a large program of dam construction upstream of the Gharb Plain. The wetland loss estimate highlights the substantial ecological costs of agricultural intensification and underscores the need for integrated management strategies balancing food production and patrimony conservation. Future research should focus on wetland restoration, ecosystem service assessment, and climate-resilient water management in Mediterranean floodplains.","地中海洪泛平原湿地是最具生产力的生态系统之一，却日益受到农业集约化与水文改造的威胁。在北非，大多数此类湿地已通过大规模的“排水—灌溉”过程被转变为农业用地，并因此遭到不可逆的退化。本研究以摩洛哥西北部加尔卜平原（Gharb Plain）为例，记录了这一丧失过程。该平原的农业开发进程始于1927年，直至近期才告完成，我们结合历史地图与遥感数据，重建了湿地衰退与农业扩张同步发生的过程。结果表明，沼泽生态系统急剧减少，在不到一个周期内约88%的原生沼泽地消失。包括大型湿地在内的多处湿地已完全消失，尤其是在塞布河（Sebou）与巴赫特河（Baht）洪泛平原内。为保障人类占用，排水过程与河流渠化得到了加尔卜平原上游大规模水坝建设计划的支持。湿地丧失的估算凸显了农业集约化所带来的巨大生态代价，并强调需要制定兼顾粮食生产与遗产保护的综合管理策略。未来研究应聚焦于湿地恢复、生态系统服务评估以及地中海洪泛平原的气候韧性水资源管理。","Diversity","2026-10-19T00:00:00Z",76,{"impact":218,"substance":219,"depth":220,"authority":221,"freshness":119,"relevant":40,"comment":222},16,21,18,13,"该研究结合历史地图与遥感数据，量化了北非洪泛平原湿地因农业开发而丧失的情况，方法扎实、结论明确，对农业生态与土地管理有参考价值，但属区域性案例研究，公共影响有限。",[224],{"name":214,"url":211},[226,21,227,24,228],"生态修复","灌溉农业","湿地保护",{"code":230,"slug":231,"name":232,"path":233,"parent_code":234},"H3","irrigation","水资源与灌溉","\u002Ftopic\u002Fenvironment\u002Firrigation","H",[236],{"code":39,"slug":237,"name":238,"path":239,"parent_code":234},"biodiversity","生态保护与生物多样性","\u002Ftopic\u002Fenvironment\u002Fbiodiversity",{"status":115,"locked":14,"version":28,"method":29,"evidence":241},{"candidates":242,"agricultural_evidence":120},[243,249,255],{"code":230,"score":13,"supported":120,"title":244,"abstract":245,"tags":248},[],[246,247,231],"灌溉","水资源",[227],{"code":39,"score":166,"supported":120,"title":250,"abstract":251,"tags":254},[],[252,253],"生态系统服务","ecosystem service",[24,228,226],{"code":33,"score":256,"supported":120,"title":257,"abstract":258,"tags":259},7,[],[123,124],[21],[261,262],"Gharb平原 湿地 遥感","摩洛哥 湿地 灌溉","Gharb平原湿地遥感-5392","10.3390\u002Fd18100642",{"doi":264,"openalex_id":266,"authors":267,"venue":214,"cited_by_count":15,"oa_url":211,"card":279,"direction":87,"ingested_from":89},"W7222966485",[268,271,273,276],{"name":269,"orcid":270},"Mohamed Dakki","https:\u002F\u002Forcid.org\u002F0000-0002-8042-3972",{"name":272,"orcid":9},"Said El Falah",{"name":274,"orcid":275},"Ibrahim Makrane","https:\u002F\u002Forcid.org\u002F0009-0002-9201-206X",{"name":277,"orcid":278},"Ismail Mansouri","https:\u002F\u002Forcid.org\u002F0000-0002-3679-6050",{"tldr":280,"method":281,"finding":282,"direction":87,"opportunity":283},"用历史地图与遥感重建摩洛哥Gharb平原1927年以来的湿地丧失与农业扩张过程。","历史地图与遥感数据结合，重建湿地退缩与农田扩张的时空过程。","不到一个开发周期内约88%的原生沼泽消失，大型湿地完全丧失。","可延伸至地中海洪泛平原湿地恢复优先区识别与生态系统服务权衡研究。","2026-10-20T23:30:19.135602Z",{"id":286,"title":287,"url":288,"summary":289,"summary_zh":290,"content":9,"source_name":291,"source_url":292,"published_at":293,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":294,"score_detail":295,"sources":299,"tags":301,"primary_topic":305,"secondary_topics":306,"classification":307,"search_phrases":336,"slug":339,"view_count":15,"doi":340,"paper":341,"created_at":377},5183,"Zionist Entity Settlement Expansion and Agricultural Land Conversion in the West Bank, Palestine (2011–2026): A Multi-Temporal Remote Sensing Analysis","https:\u002F\u002Fdoi.org\u002F10.63318\u002Fwaujpasv4i2_60","أُجريت هذه الدراسة لتقييم التغيرات في أنماط الاستيطان التابعة للكيان الصهيوني في الضفة الغربية بفلسطين، وذلك خلال الفترة الممتدة من عام 2011 إلى عام 2026، مع التركيز بشكل خاص على التغيرات التي طرأت على الأراضي الزراعية. وقد وظّف البحث تقنيات الاستشعار عن بعد لتحليل البيانات وتقييم اتجاهات التوسع الاستيطاني في المنطقة المختارة؛ حيث استخدم الباحثون صور الأقمار الصناعية ونظم المعلومات الجغرافية لرصد نمو المستوطنات، وتحديد المناطق المطوّرة حديثاً، ودراسة التغيرات في الغطاء الأرضي. وهدفت الدراسة إلى تحليل المناطق المبنية، والأراضي الزراعية، والغطاء النباتي، والأراضي القاحلة، والموارد المائية، فضلاً عن تحديد بؤر التوسع الاستيطاني، والمقارنة بين التجمعات الاستيطانية المختارة، ورصد التغيرات في شبكة الطرق، ودراسة التحولات في استخدامات الأراضي داخل المنطقة. ولتحقيق أهداف الدراسة، اعتمد الباحثون على مزيج من المنهجيات التي تشمل تصنيف الصور، وكشف التغيرات، وتحليل التراكب، وتحليل البؤر الساخنة. وتمثّل الهدف الرئيسي للدراسة في إرساء أساس لفهم انتشار المستوطنات ورصد التغيرات المرتبطة بالزراعة والتجمعات السكانية المجاورة بشكل أفضل، وذلك بالاستعانة بتقنيات الاستشعار عن بعد ونظم المعلومات الجغرافية.","本研究旨在评估2011年至2026年期间巴勒斯坦约旦河西岸犹太复国主义实体定居模式的变化，特别关注农业用地的变化。研究采用遥感技术分析数据并评估所选地区定居点扩张的趋势；研究人员利用卫星图像和地理信息系统监测定居点的增长、确定新开发区域并研究地表覆盖变化。研究旨在分析建成区、农业用地、植被覆盖、干旱土地和水资源，并确定定居点扩张的热点区域，比较选定的定居点集群，监测道路网络的变化，以及研究区域内土地利用的转变。为实现研究目标，研究人员采用了多种方法相结合的方式，包括图像分类、变化检测、叠加分析和热点分析。研究的主要目标是为理解定居点的扩散以及更好地监测与农业和邻近居民点相关的变化奠定基础，借助遥感技术和地理信息系统实现这一目标。","Wadi Alshatti University Journal of Pure and Applied Sciences","https:\u002F\u002Fwaujpas.com\u002Findex.php\u002Fjournal\u002Farticle\u002Fview\u002F775","2026-10-15T00:00:00Z",78,{"impact":220,"substance":296,"depth":220,"authority":297,"freshness":119,"relevant":40,"comment":298},22,12,"该研究利用多时相遥感与GIS定量分析2011–2026年西岸定居点扩张导致的农地转换，方法规范、数据跨度长，对农业土地变化监测有参考价值，但地域性强、政策关联度有限，可作国际农业遥感案例收录。",[300],{"name":291,"url":292},[21,24,302,303,304],"GIS","农地非农化","巴勒斯坦农业",{"code":33,"slug":109,"name":110,"path":111,"parent_code":112},[],{"status":115,"locked":14,"version":28,"method":29,"evidence":308},{"candidates":309,"agricultural_evidence":120},[310,314,321,326,332],{"code":33,"score":297,"supported":120,"title":311,"abstract":312,"tags":313},[124],[123],[21],{"code":315,"score":316,"supported":120,"title":317,"abstract":318,"tags":320},"I4",4,[],[319],"地理信息",[302],{"code":230,"score":322,"supported":120,"title":323,"abstract":324,"tags":325},3,[],[247],[],{"code":327,"score":322,"supported":120,"title":328,"abstract":329,"tags":331},"H7",[],[330],"干旱",[],{"code":39,"score":40,"supported":14,"title":333,"abstract":334,"tags":335},[],[],[24],[337,338],"West Bank 遥感 农地变化","巴勒斯坦 定居点 农地转换","WestBank遥感农地变化-5183","10.63318\u002Fwaujpasv4i2_60",{"doi":340,"openalex_id":342,"authors":343,"venue":291,"cited_by_count":15,"oa_url":292,"card":372,"direction":87,"ingested_from":89},"W7222438368",[344,346,348,350,353,355,357,359,361,363,366,367,368,370],{"name":345,"orcid":9},"أسامة الشلطامي",{"name":347,"orcid":9},"مصطفى بن حكومة",{"name":349,"orcid":9},"حمزة الماطوني",{"name":351,"orcid":352},"Ramzi SALEM","https:\u002F\u002Forcid.org\u002F0000-0003-1539-1596",{"name":354,"orcid":9},"Mansour Salem",{"name":356,"orcid":9},"هالة الخزندار",{"name":358,"orcid":9},"ياسر نصار",{"name":360,"orcid":9},"Osama Shaltami",{"name":362,"orcid":9},"Mustafa Ben Hkoma",{"name":364,"orcid":365},"HAMZA AL MATONI","https:\u002F\u002Forcid.org\u002F0000-0002-4748-065X",{"name":351,"orcid":352},{"name":354,"orcid":9},{"name":369,"orcid":9},"Hala El-Khozondar",{"name":371,"orcid":9},"Yasser Nassar",{"tldr":373,"method":374,"finding":375,"direction":87,"opportunity":376},"用多时相遥感分析2011–2026年约旦河西岸定居点扩张及农地转化。","多时相卫星影像与GIS，结合影像分类、变化检测、叠加和热点分析。","定居点扩张显著侵占农地与植被，道路网络扩展驱动土地利用转变。","可延伸至多时相遥感监测土地权属冲突区农地流失，结合高分影像与开放GIS做定量归因。","2026-10-17T23:30:32.831824Z",{"id":379,"title":380,"url":381,"summary":382,"summary_zh":383,"content":9,"source_name":384,"source_url":381,"published_at":385,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":386,"score_detail":387,"sources":389,"tags":391,"primary_topic":394,"secondary_topics":395,"classification":400,"search_phrases":423,"slug":426,"view_count":15,"doi":427,"paper":428,"created_at":449},5096,"Land Cover Change, Ecosystem Service Implications, and Economy–Land Use Decoupling:","https:\u002F\u002Fdoi.org\u002F10.14246\u002Firspsd.14.4_186","Land cover change plays a critical role in shaping watershed ecological conditions and supporting regional economic activities. This study analyzes land cover dynamics in the Tiworo Watershed, Southeast Sulawesi, Indonesia, for 2014, 2019, and 2024, and examines their relationship with sectoral economic growth. Remote sensing and GIS were used to map and quantify land cover changes, while sectoral Gross Regional Domestic Product (GRDP) data for agriculture, forestry, and fisheries represented economic performance. Economy–land use interactions were assessed using the Tapio decoupling elasticity index. Economy–land use interactions were assessed using the Tapio decoupling elasticity index as a retrospective empirical measure based on observed changes in land cover and sectoral GRDP over the study periods. The results show increasing sectoral GRDP accompanied by relatively limited changes in dominant land cover classes. Absolute decoupling was observed during 2014–2019, relative decoupling during 2019–2024, and overall absolute decoupling for 2014–2024, indicating that economic growth was not proportionally associated with large-scale land conversion. Spatial analysis reveals localized landscape transformations, including mangrove degradation, settlement expansion, and plantation growth, which signal emerging pressures on environmentally sensitive areas. Although ecosystem services are not directly valued, land cover change is interpreted as an indicator of ecological pressure with implications for provisioning ecosystem services. These findings highlight the importance of integrating land-use monitoring and economic indicators to support adaptive watershed management, spatial planning, and sustainable development.","土地覆盖变化在塑造流域生态状况和支撑区域经济活动方面发挥着关键作用。本研究分析了印度尼西亚东南苏拉威西省蒂沃罗流域（Tiworo Watershed）2014年、2019年和2024年的土地覆盖动态，并考察其与部门经济增长的关系。研究采用遥感和地理信息系统（GIS）对土地覆盖变化进行制图和量化，同时以农业、林业和渔业的部门地区生产总值（GRDP）数据表征经济表现。经济与土地利用的相互作用采用Tapio脱钩弹性指数进行评估，该指数作为基于研究期内观测到的土地覆盖变化和部门GRDP变化的回顾性经验测度。结果表明，部门GRDP持续增长，而主导土地覆盖类型的变化相对有限。2014—2019年呈现绝对脱钩，2019—2024年呈现相对脱钩，2014—2024年整体呈现绝对脱钩，表明经济增长与大规模土地转换之间不存在比例关联。空间分析揭示了局部景观转型，包括红树林退化、居民点扩张和种植园增长，这些信号表明环境敏感区域正面临新兴压力。尽管生态系统服务未被直接估值，但土地覆盖变化被解释为生态压力的指标，并对供给型生态系统服务具有潜在影响。这些发现凸显了整合土地利用监测与经济指标的重要性，以支持适应性流域管理、空间规划和可持续发展。","International Review for Spatial Planning and Sustainable Development","2026-10-14T00:00:00Z",63,{"impact":119,"substance":220,"depth":218,"authority":221,"freshness":119,"relevant":40,"comment":388},"基于遥感与GIS的流域土地利用变化与经济增长脱钩研究，方法规范但属区域案例，对国内三农信息化参考价值有限。",[390],{"name":384,"url":381},[21,24,392,252,393],"流域管理","空间规划",{"code":39,"slug":237,"name":238,"path":239,"parent_code":234},[396],{"code":315,"slug":397,"name":398,"path":399,"parent_code":112},"gis","GIS与空间分析","\u002Ftopic\u002Fdigital-agriculture\u002Fgis",{"status":115,"locked":14,"version":28,"method":29,"evidence":401},{"candidates":402,"agricultural_evidence":120},[403,407,413,417],{"code":39,"score":221,"supported":120,"title":404,"abstract":405,"tags":406},[253],[252],[24,252],{"code":315,"score":13,"supported":120,"title":408,"abstract":409,"tags":412},[],[319,410,302,411],"空间分析","spatial analysis",[393],{"code":33,"score":256,"supported":120,"title":414,"abstract":415,"tags":416},[],[123,124],[21],{"code":418,"score":322,"supported":120,"title":419,"abstract":420,"tags":422},"D",[],[421],"渔业",[],[424,425],"Tiworo流域 土地利用 遥感","Tapio脱钩 农业经济 土地覆盖","Tiworo流域土地利用遥感-5096","10.14246\u002Firspsd.14.4_186",{"doi":427,"openalex_id":429,"authors":430,"venue":384,"cited_by_count":15,"oa_url":443,"card":444,"direction":87,"ingested_from":89},"W7221789653",[431,434,437,440],{"name":432,"orcid":433},"Safril Kasim","https:\u002F\u002Forcid.org\u002F0009-0009-4679-4233",{"name":435,"orcid":436},"Hasddin Hasddin","https:\u002F\u002Forcid.org\u002F0000-0002-0114-5274",{"name":438,"orcid":439},"La Fariki","https:\u002F\u002Forcid.org\u002F0009-0003-7870-9028",{"name":441,"orcid":442},"Abhishek Agarwal","https:\u002F\u002Forcid.org\u002F0000-0002-0900-6383","https:\u002F\u002Fwww.jstage.jst.go.jp\u002Farticle\u002Firspsd\u002F14\u002F4\u002F14_9\u002F_pdf",{"tldr":445,"method":446,"finding":447,"direction":87,"opportunity":448},"分析印尼Tiworo流域2014-2024年土地覆盖变化与部门经济增长的脱钩关系。","遥感与GIS制图，结合GRDP数据和Tapio脱钩弹性指数。","经济持续增长但土地覆盖变化有限，整体呈绝对脱钩，局部红树林退化等生态压力显现。","可将脱钩指数与生态系统服务价值核算结合，量化流域生态压力并支撑空间规划。","2026-10-16T23:30:28.687070Z",{"id":451,"title":452,"url":453,"summary":454,"summary_zh":455,"content":9,"source_name":456,"source_url":453,"published_at":457,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":458,"sources":460,"tags":462,"primary_topic":9,"secondary_topics":465,"classification":466,"search_phrases":482,"slug":485,"view_count":40,"doi":486,"paper":487,"created_at":503},4752,"Büyük Ölçekli GES Projelerinin Yerel Mikroklimaya Etkisi","https:\u002F\u002Fdoi.org\u002F10.54864\u002Fplanarch.1853178","Yenilenebilir enerji yatırımları düşük karbon dönüşümü açısından kritik bir rol üstlenmekle birlikte, kırsal ve yarı kurak bölgelerde kurulan büyük ölçekli fotovoltaik enerji santrallerinin yerel yüzey ısısı ve mikroklima göstergeleriyle ilişkisi, planlama ve tasarım literatüründe yeterince tartışılmamaktadır. Bu çalışma, Konya ilinin Karapınar ilçesindeki Kalyon Karapınar Güneş Enerjisi Santrali çevresindeki bitki örtüsü yoğunluğu, yapay veya çıplak yüzey desenleri ve yer yüzey sıcaklığındaki (LST) değişiklikleri incelemektedir. Güneş enerjisi santralinin kurulumundan önceki (2010–2020) ve sonraki (2021–2024) dönemleri temsil etmek üzere seçilen yaz Landsat görüntüleri kullanılarak, CBS tabanlı bir iş akışı içinde NDVI, NDBI ve LST analizleri üretilmiştir. Sonuçlar, yağış verileriyle birlikte yorumlanmıştır. Bulgular, güneş enerjisi santralinin içinde ve çevresinde bitki örtüsü yoğunluğunda azalma, yapay veya çıplak yüzey alanlarında artış ve yaz yüzey sıcaklıklarında yükselme ile karakterize edilen bir mekânsal deseni ortaya koymaktadır. Ortalama yaz yer yüzey sıcaklığı (LST) 36,2°C'den 38,7°C'ye yükselmiş, bazı bölgelerde ise 44°C'nin üzerinde sıcaklıklar gözlemlenmiştir. Bu bulgular, güneş enerjisi santralinin kurulumunun ardından çalışma alanında ve çevresinde yüzey termal değişikliklerinin meydana geldiğini göstermektedir. Bununla birlikte, bu bulgular nedensel bir ilişkinin doğrudan kanıtı olarak yorumlanmamalıdır. Çalışma, büyük ölçekli güneş enerjisi santrali yatırımları için planlama kararlarına mikro iklime duyarlı alan seçimi, bitki örtüsü tampon bölgeleri, geçirgen yüzey stratejileri ve uzun vadeli çevresel izlemenin dâhil edilmesinin gerekliliğini vurgulamaktadır.","可再生能源投资在低碳转型中发挥着关键作用，然而，关于干旱及半干旱农村地区建设的大型光伏电站与局地地表温度和微气候指标之间的关系，规划和设计文献中尚未充分讨论。本研究考察了科尼亚省卡拉皮纳尔区Kalyon卡拉皮纳尔太阳能电站周边植被密度、人工或裸露地表格局以及地表温度（LST）的变化。利用选取的夏季Landsat影像，分别代表太阳能电站建设前（2010—2020年）和建设后（2021—2024年）时期，在基于GIS的工作流程中生成了NDVI、NDBI和LST分析结果。研究结果结合降水数据进行了阐释。研究发现揭示了一种空间格局，其特征为太阳能电站内部及周边植被密度下降、人工或裸露地表面积增加以及夏季地表温度升高。夏季平均地表温度（LST）从36.2°C上升至38.7°C，部分地区观测到超过44°C的高温。这些发现表明，太阳能电站建设后，研究区及其周边发生了地表热变化。然而，这些发现不应被解释为因果关系的直接证据。本研究强调，对于大型太阳能电站投资，规划决策中有必要纳入微气候敏感型选址、植被缓冲带、透水面策略以及长期环境监测。","PLANARCH - Design and Planning Research","2026-10-10T00:00:00Z",{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":459},"研究大型光伏电站对局地微气候与地表温度的影响，属能源规划与遥感领域，与三农、农业信息化主题不相关。",[461],{"name":456,"url":453},[21,22,463,464],"微气候","光伏电站",[],{"status":27,"locked":14,"version":28,"method":29,"evidence":467},{"candidates":468,"agricultural_evidence":120,"reason":481},[469,473,477],{"code":327,"score":322,"supported":120,"title":470,"abstract":471,"tags":472},[],[330],[],{"code":315,"score":322,"supported":120,"title":474,"abstract":475,"tags":476},[],[302],[],{"code":33,"score":34,"supported":14,"title":478,"abstract":479,"tags":480},[],[],[22,21],"多个产业证据相当，需要确认主归属",[483,484],"Konya Karapınar 光伏电站","光伏电站 地表温度 NDVI","KonyaKarapınar光伏电站-4752","10.54864\u002Fplanarch.1853178",{"doi":486,"openalex_id":488,"authors":489,"venue":456,"cited_by_count":15,"oa_url":496,"card":497,"direction":87,"ingested_from":89},"W7221335332",[490,493],{"name":491,"orcid":492},"Merve Çakır","https:\u002F\u002Forcid.org\u002F0009-0003-6063-0987",{"name":494,"orcid":495},"Sinan Levend","https:\u002F\u002Forcid.org\u002F0000-0002-3382-0983","https:\u002F\u002Fdergipark.org.tr\u002Ftr\u002Fdownload\u002Farticle-file\u002F5557267",{"tldr":498,"method":499,"finding":500,"direction":501,"opportunity":502},"分析土耳其Konya大型光伏电站建设前后对周边植被、地表类型与地表温度的微气候影响。","用2010–2020与2021–2024年Landsat夏季影像，在GIS中计算","电站内外植被减少、裸地增加，夏季平均LST由36.2°C升至38.7°C，局部超44°C。","农业绿色发展与碳","可延伸研究光伏电站微气候效应的因果归因、植被缓冲带与透水面设计对LST的缓解效果。","2026-10-12T23:30:24.704109Z"]