[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3897":3,"related-3897":97},{"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":23,"tags":25,"primary_topic":31,"secondary_topics":37,"classification":38,"search_phrases":73,"slug":76,"view_count":21,"doi":77,"paper":78,"created_at":96},3897,"Impact of Land Use Change on Sandstorm Disaster in Tarim Basin of China","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fland15101840","Arid oasis–desert systems in inland basins are increasingly threatened by human-induced land-use transformation and aggravated dust storm hazards, whereas the nonlinear coupling mechanisms and critical land-use thresholds controlling dust pollution remain poorly understood. Taking township units of southern Xinjiang as the research scope over a 25-year period, this study integrated remote sensing and geographic information system techniques, geographically weighted regression, and piecewise threshold analysis to explore the long-term spatial coupling relationship between land-use transitions and dust-related PM10 variations, and to identify the threshold effects of diverse land-use types on dust emissions. The results indicate evident spatial non-stationarity in the co-variation patterns of land-use change and dust pollution. Intensive land-use disturbance and elevated dust risks are concentrated in oasis–desert ecotones, while desert hinterlands and high mountainous areas exhibit stable land-use conditions and weak human interference. Land-use factors exert limited explanatory capacity for dust variation due to dominant meteorological background controls. Distinct threshold effects exist among different land-use categories. Bare land and impervious surfaces function as dust-promoting land types with sharp increases in dust pollution beyond their respective critical proportions. Cropland exhibits a dual nonlinear effect, providing dust-suppression benefits within a reasonable proportion range but aggravating dust risks under excessive reclamation through the destruction of ecological buffer zones. Snow cover, forest, grassland, and water bodies serve as effective dust-suppressing land types, whose mitigation benefits stabilize after reaching minimum critical coverage, while shrubs show no significant regulatory effect on dust pollution. The oasis–desert ecotone represents the most sensitive zone for dust prevention. Targeted zoning management guided by land-use threshold constraints is essential to optimize regional ecological regulation, replace blind single afforestation strategies, and integrate ecological threshold criteria into territorial spatial planning. Land-use adjustment can effectively mitigate anthropogenic dust emissions, yet comprehensive dust control requires coordinated meteorological early warning systems and balanced management of agricultural production and ecological risk prevention.","内陆盆地的干旱绿洲–荒漠系统日益受到人为土地利用转型和沙尘暴危害加剧的威胁，而控制沙尘污染的非线性耦合机制及关键土地利用阈值仍认识不足。本研究以新疆南部乡镇单元为研究范围，跨越25年，综合遥感与地理信息系统技术、地理加权回归和分段阈值分析，探讨土地利用转型与沙尘相关PM10变化的长期空间耦合关系，并识别不同土地利用类型对沙尘排放的阈值效应。结果表明，土地利用变化与沙尘污染的共变格局存在明显的空间非平稳性。强烈的土地利用扰动和较高的沙尘风险集中于绿洲–荒漠过渡带，而荒漠腹地和高山地区土地利用状况稳定、人为干扰较弱。由于气象背景的主导控制作用，土地利用因子对沙尘变化的解释能力有限。不同土地利用类别之间存在明显的阈值效应。裸地和硬化地表属于促沙土地利用类型，超过各自临界比例后沙尘污染急剧增加。耕地表现出双重非线性效应，在合理比例范围内具有抑沙效益，但过度开垦通过破坏生态缓冲带而加剧沙尘风险。积雪、林地、草地和水体为有效的抑沙土地利用类型，其减缓效益在达到最低临界覆盖度后趋于稳定，而灌木对沙尘污染无显著调控作用。绿洲–荒漠过渡带是防沙最为敏感的区域。以土地利用阈值约束为导向的针对性分区管理，对于优化区域生态调控、替代盲目单一造林策略以及将生态阈值标准纳入国土空间规划至关重要。土地利用调整可有效减缓人为沙尘排放，但综合防沙需要协调气象预警系统与农业生产和生态风险防范的平衡管理。",null,"Land","2026-09-30T00:00:00Z","论文",10,false,79,{"impact":17,"substance":18,"depth":17,"authority":19,"freshness":20,"relevant":21,"comment":22},18,22,13,8,1,"基于25年遥感与GIS数据揭示土地利用变化对沙尘污染的阈值效应，方法新颖、结论可靠，对干旱区绿洲农业生态调控有参考价值。",[24],{"name":10,"url":6},[26,27,28,29,30],"遥感监测","土地利用","绿洲农业","荒漠化防治","生态阈值",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},"I3","remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing","I",[],{"status":39,"locked":14,"version":40,"method":41,"evidence":42},"classified","2026-10-22.2","rules",{"candidates":43,"agricultural_evidence":46},[44,52,60,67],{"code":32,"score":45,"supported":46,"title":47,"abstract":48,"tags":51},7,true,[],[49,50],"遥感","remote sensing",[26],{"code":53,"score":54,"supported":46,"title":55,"abstract":56,"tags":59},"I4",6,[],[57,58],"地理信息","geographic information",[],{"code":61,"score":62,"supported":46,"title":63,"abstract":64,"tags":66},"H7",3,[],[65],"干旱",[],{"code":68,"score":69,"supported":14,"title":70,"abstract":71,"tags":72},"H6",2,[],[],[27,29],[74,75],"塔里木盆地 沙尘 土地利用","新疆 绿洲 荒漠 遥感","塔里木盆地沙尘土地利用-3897","10.3390\u002Fland15101840",{"doi":77,"openalex_id":79,"authors":80,"venue":10,"cited_by_count":87,"oa_url":6,"card":88,"direction":94,"ingested_from":95},"W7214912709",[81,84],{"name":82,"orcid":83},"Xiaodong Zhang","https:\u002F\u002Forcid.org\u002F0000-0002-9616-9139",{"name":85,"orcid":86},"Yongjun Tang","https:\u002F\u002Forcid.org\u002F0009-0008-2743-5473",0,{"tldr":89,"method":90,"finding":91,"direction":92,"opportunity":93},"研究塔里木盆地25年土地利用变化与沙尘PM10的耦合关系及阈值效应。","遥感GIS、地理加权回归与分段阈值分析，以乡镇为单元。","裸地与不透水面促尘，耕地呈双刃效应，林草水雪抑尘，绿洲-荒漠过渡带最敏感。","农业绿色发展与碳","可探究不同作物覆盖与灌溉制度下耕地促尘\u002F抑尘的阈值差异，服务绿洲农业空间优化。","农业遥感与作物表型","openalex","2026-10-01T23:30:28.901978Z",{"total":54,"page":21,"page_size":54,"items":98},[99,157,230,300,358,403],{"id":100,"title":101,"url":102,"summary":103,"summary_zh":104,"content":9,"source_name":10,"source_url":102,"published_at":105,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":106,"score_detail":107,"sources":110,"tags":112,"primary_topic":115,"secondary_topics":116,"classification":117,"search_phrases":140,"slug":143,"view_count":54,"doi":144,"paper":145,"created_at":156},3183,"Integrated Remote Sensing and Time Series Analysis for Long-Term Assessment of Vegetation Resilience: Synthesizing Climatic Variables and Land-Use\u002FLand-Cover Trajectories in Al-Ahsa Oasis, Saudi Arabia","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fland15091758","Continuous monitoring of land-use\u002Fland-cover (LULC) change is essential in the Al-Ahsa Oasis, an arid region characterized by a sensitive and fragile environment. This study is the first to integrate vegetation, climate, and land-use frameworks by combining vegetation indicators, climatic variables, and LULC trajectory classification over a 41-year period (1985–2025). Data from three Landsat sensors (Landsat 5-TM, 7-ETM+, and 8-OLI) were processed to derive vegetation indicators and an LULC trajectory classification, while ERA5-Land and CHIRPS data provided surface temperature and rainfall information, respectively. LULC trajectory classification was implemented using a random forest classifier, generating six LULC trajectory classes: stable barren, stable urban, stable water, urban expansion, transition lands, and stable vegetation. Pearson correlation analysis was used to assess the relationships between the vegetation indicators (normalized difference vegetation index [NDVI] and soil-adjusted vegetation index [SAVI]) and climatic variables (temperature and rainfall) at different time lags (0–3 years) and after detrending the time series. The detrending analysis showed no statistically significant associations between the vegetation indicators (NDVI and SAVI) and the climatic variables (temperature and rainfall) across the four examined lags, whereas the original, non-detrended time series showed positive associations that were mainly attributable to long-term trends rather than to interannual climate–vegetation covariation. The accuracy of LULC trajectory classification was high, with an overall accuracy of 0.939 and a kappa coefficient of 0.924, indicating robust mapping performance. Overall vegetation cover improved over the study period. The degradation occurred in the central part of the oasis (stable urban, urban expansion, and stable water classes, accounting for 4.506%, 5.179%, and 41.773% of each trajectory class, respectively), whereas the recovery was observed in the northern, southern, and eastern parts (stable vegetation and transition lands, accounting for 37.656% and 52.891% of each trajectory class, respectively). These findings provide long-term insights into vegetation resilience in the Al-Ahsa Oasis over 41 years, supporting sustainable urban planning and vegetation and agricultural management.","在环境敏感而脆弱的干旱区——哈萨绿洲，持续监测土地利用\u002F土地覆盖（LULC）变化至关重要。本研究首次在41年（1985—2025年）时间跨度内，通过整合植被指标、气候变量与LULC轨迹分类，构建了植被、气候与土地利用的综合框架。研究处理了三颗Landsat传感器（Landsat 5-TM、7-ETM+和8-OLI）的数据，以提取植被指标并进行LULC轨迹分类，同时分别利用ERA5-Land和CHIRPS数据获取地表温度和降雨信息。LULC轨迹分类采用随机森林分类器实现，生成了六类LULC轨迹：稳定裸地、稳定城市、稳定水体、城市扩张、过渡土地和稳定植被。采用Pearson相关分析评估植被指标（归一化差异植被指数[NDVI]和土壤调节植被指数[SAVI]）与气候变量（温度和降雨）在不同时间滞后（0—3年）及时间序列去趋势后的关系。去趋势分析表明，在四个考察滞后下，植被指标（NDVI和SAVI）与气候变量（温度和降雨）之间均无统计学显著关联，而原始未去趋势时间序列则显示出正相关，这主要归因于长期趋势而非年际气候—植被协变。LULC轨迹分类精度较高，总体精度为0.939，kappa系数为0.924，表明制图性能稳健。研究期间整体植被覆盖有所改善。退化发生在绿洲中部（稳定城市、城市扩张和稳定水体类别，分别占各轨迹类别的4.506%、5.179%和41.773%），而恢复则出现在北部、南部和东部（稳定植被和过渡土地，分别占各轨迹类别的37.656%和52.891%）。这些发现为哈萨绿洲41年来的植被恢复力提供了长期见解，可支持可持续城市规划以及植被与农业管理。","2026-09-20T00:00:00Z",73,{"impact":108,"substance":18,"depth":17,"authority":19,"freshness":20,"relevant":21,"comment":109},12,"41年长时序遥感与气候变量整合分析，方法扎实、结论可靠，对干旱区绿洲农业可持续管理有参考价值，但属区域性案例研究，公共影响有限。",[111],{"name":10,"url":102},[113,26,27,114,28],"气候变化","植被覆盖",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":118},{"candidates":119,"agricultural_evidence":46},[120,124,131,136],{"code":32,"score":13,"supported":46,"title":121,"abstract":122,"tags":123},[50],[],[114,26],{"code":125,"score":54,"supported":46,"title":126,"abstract":127,"tags":130},"H2",[],[128,129],"土壤","soil",[],{"code":61,"score":132,"supported":46,"title":133,"abstract":134,"tags":135},4,[],[65],[113],{"code":68,"score":21,"supported":14,"title":137,"abstract":138,"tags":139},[],[],[27],[141,142],"Al-Ahsa Oasis 遥感 植被","Landsat NDVI 土地利用变化","Al-AhsaOasis遥感植被-3183","10.3390\u002Fland15091758",{"doi":144,"openalex_id":146,"authors":147,"venue":10,"cited_by_count":87,"oa_url":102,"card":151,"direction":94,"ingested_from":95},"W7213862324",[148],{"name":149,"orcid":150},"Amal H. Aljaddani","https:\u002F\u002Forcid.org\u002F0000-0003-1171-8416",{"tldr":152,"method":153,"finding":154,"direction":94,"opportunity":155},"整合41年Landsat植被指数、气候变量与LULC轨迹，评估沙特Al-Ahsa绿洲植被恢复力。","Landsat 5\u002F7\u002F8时序、ERA5-Land与CHIRPS气候数据、随机森","去趋势后植被与气候无显著相关，绿洲整体植被改善，中部退化、南北东恢复。","可引入非线性\u002F因果推断与高分辨率数据，区分灌溉、城市化与气候对干旱区绿洲植被恢复力的驱动。","2026-09-22T23:30:25.304168Z",{"id":158,"title":159,"url":160,"summary":161,"summary_zh":162,"content":9,"source_name":163,"source_url":160,"published_at":164,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":87,"score_detail":165,"sources":167,"tags":169,"primary_topic":172,"secondary_topics":173,"classification":174,"search_phrases":196,"slug":199,"view_count":87,"doi":200,"paper":201,"created_at":229},5390,"Land use and socio-economic changes caused by riverbank erosion - case study: Obrenovac municipality, Serbia","https:\u002F\u002Fdoi.org\u002F10.59954\u002Fstnv.797","Lateral bank erosion of meandering rivers represents a significant geomorphological process in the lower part of the Kolubara River Basin in Serbia. This process directly impacts land-use and agricultural productivity and lead to broader environmental, socioeconomic, and demographic changes. Historically, the Kolubara riverbanks have been intensively used for agriculture. Today, lateral channel migration and riverbank erosion, driven by the interaction between natural process and human activities, directly threaten traditionally active land plots along the river. This study investigates the long-term dynamics of riverbank erosion along the four active meanders of the Kolubara River in Obrenovac Municipality over a 97-year period (1930–2026). Main tasks include quantification of lateral channel migration and land loss rates, analysis of land-use changes within the endangered plots, and an investigation of socioeconomic consequences and demographic dynamics in affected settlements. The methodological framework integrates cadastral maps analysis, remote sensing techniques (UAVs), and GIS software, with analysis of demographic and land-use data. The results indicate that maximum lateral channel migration reached 259.3 m during the observed period, while the total land loss amounted to 17.6 ha, consisting mostly of arable land. This reduction has directly affected the local agricultural sector, resulting in an estimated land loss value of approximately 24,122 USD. Demographic analysis reveals population decline exceeding 40% in the analysed settlements (Draževac, Konatice and Poljane) between 1961 and 2022, from over 90% of the economically active population in 1961 to less than 2% in 2022. Ultimately, by highlighting the socioeconomic impacts of riverbank erosion such as irreversible agricultural land loss and rural livelihood disruption, these findings offer valuable insights for spatial planning and sustainable land management.","蜿蜒河流的侧向河岸侵蚀是塞尔维亚科卢巴拉河（Kolubara River）流域下游一个重要的地貌过程。该过程直接影响土地利用和农业生产力，并引发更广泛的环境、社会经济和人口变化。历史上，科卢巴拉河岸曾被密集用于农业生产。如今，在自然过程与人类活动相互作用驱动下的侧向河道迁移和河岸侵蚀，直接威胁着沿河传统上活跃的地块。本研究考察了奥布雷诺瓦茨市（Obrenovac Municipality）科卢巴拉河四个活跃曲流段在97年期间（1930—2026年）河岸侵蚀的长期动态。主要任务包括：量化侧向河道迁移和土地流失速率，分析受威胁地块内的土地利用变化，以及调查受影响居民点的社会经济后果和人口动态。方法框架整合了地籍图分析、遥感技术（无人机，UAVs）和GIS软件，并结合人口与土地利用数据分析。结果表明，在观测期内侧向河道迁移最大距离达259.3 m，土地流失总量为17.6 ha，其中大部分为耕地。这一减少直接影响了当地农业部门，估计土地流失价值约为24,122美元。人口分析显示，1961年至2022年间，所分析居民点（Draževac、Konatice和Poljane）的人口下降幅度超过40%，经济活动人口比例从1961年的超过90%降至2022年的不足2%。最终，通过突出河岸侵蚀的社会经济影响，如不可逆的农业土地流失和农村生计破坏，这些发现为空间规划和可持续土地管理提供了有价值的见解。","Stanovnistvo","2026-10-19T00:00:00Z",{"impact":87,"substance":87,"depth":87,"authority":87,"freshness":87,"relevant":87,"comment":166},"塞尔维亚河岸侵蚀案例研究，属地理与土地利用领域，与三农及农业信息化主题关联弱，不建议进入每日精选。",[168],{"name":163,"url":160},[26,27,170,171],"土壤侵蚀","乡村人口",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":175},{"candidates":176,"agricultural_evidence":46},[177,181,186,192],{"code":32,"score":45,"supported":46,"title":178,"abstract":179,"tags":180},[],[49,50],[26],{"code":53,"score":62,"supported":46,"title":182,"abstract":183,"tags":185},[],[184],"GIS",[],{"code":187,"score":62,"supported":46,"title":188,"abstract":189,"tags":191},"I7",[],[190],"methodological framework",[],{"code":68,"score":21,"supported":14,"title":193,"abstract":194,"tags":195},[],[],[27],[197,198],"Kolubara 河岸侵蚀","Obrenovac 土地利用","Kolubara河岸侵蚀-5390","10.59954\u002Fstnv.797",{"doi":200,"openalex_id":202,"authors":203,"venue":163,"cited_by_count":87,"oa_url":160,"card":223,"direction":94,"ingested_from":95},"W7222945959",[204,207,210,212,215,218,221],{"name":205,"orcid":206},"Slavoljub Dragićević","https:\u002F\u002Forcid.org\u002F0000-0002-1417-5405",{"name":208,"orcid":209},"Marko Langović","https:\u002F\u002Forcid.org\u002F0000-0002-4614-7265",{"name":211,"orcid":9},"Милан Радовић",{"name":213,"orcid":214},"Radislav Tošić","https:\u002F\u002Forcid.org\u002F0000-0002-3994-125X",{"name":216,"orcid":217},"Milica Langović","https:\u002F\u002Forcid.org\u002F0000-0002-6979-377X",{"name":219,"orcid":220},"Novica Lovrić","https:\u002F\u002Forcid.org\u002F0009-0006-0838-4370",{"name":222,"orcid":9},"Manojlović Stefan",{"tldr":224,"method":225,"finding":226,"direction":227,"opportunity":228},"研究塞尔维亚Kolubara河岸侵蚀97年间的河道迁移、耕地损失及社会经济影响。","结合地籍图、UAV遥感、GIS与人口土地利用数据分析四条曲流。","最大侧向迁移259.3米，损失17.6公顷耕地约2.4万美元，村落人口降超40%。","其他","可将河岸侵蚀遥感监测与农户生计、土地价值评估耦合，构建侵蚀风险预警与补偿决策模型。","2026-10-20T23:30:18.982943Z",{"id":231,"title":232,"url":233,"summary":234,"summary_zh":235,"content":9,"source_name":236,"source_url":233,"published_at":237,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":238,"score_detail":239,"sources":243,"tags":245,"primary_topic":248,"secondary_topics":249,"classification":250,"search_phrases":261,"slug":264,"view_count":21,"doi":265,"paper":266,"created_at":299},5170,"Tree cover increases on agricultural land amid continued landscape-level deforestation: a case study from eastern Afghanistan","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs10661-026-16018-1","Understanding changes in tree cover within agricultural landscapes is critical for assessing the resilience of rural communities and consequent land use dynamics in conflict-affected regions. This study examines spatiotemporal land use and tree cover changes across four districts of Nangarhar Province in eastern Afghanistan using high-resolution (3 m\u002Fpixel) satellite imagery. The temporal window examined for this study (2016-2024) spans a period of significant geopolitical upheaval in Afghanistan, including the collapse of the republican government in 2021 and the resulting shift in political power and governance dynamics. An object-based image analysis framework combined with a support vector machine classifier was applied to map five land use classes within settlement areas: tree cover, cropland, water, built-up areas, and barren land. Classification accuracy was assessed using stratified random sampling and Cohen's kappa coefficient, with all maps achieving κ values above 0.80. Post-classification change detection and transition matrices were used to quantify class-to-class conversions in hectares, while Sankey diagrams were employed to visualise the magnitude and direction of land use transitions. The results reveal varying patterns of tree cover change across the study districts, with evidence of both tree cover gains linked to expansion of agroforestry and on-farm tree retention, and losses driven by agricultural expansion and development. These changes may influence local livelihoods, as trees on farms provide important resources such as fruit, fuelwood, and shade. The findings demonstrate the effectiveness of integrating high-resolution remote sensing, object-based classification, and Sankey-based visualisation for analysing complex land use dynamics.","理解冲突影响地区农业景观中树木覆盖的变化，对于评估农村社区的韧性及由此产生的土地利用动态至关重要。本研究利用高分辨率（3米\u002F像素）卫星影像，考察了阿富汗东部楠格哈尔省四个县的时空土地利用与树木覆盖变化。研究的时间窗口（2016—2024年）跨越了阿富汗地缘政治剧烈动荡的时期，包括2021年共和政府的崩溃以及随之而来的政治权力与治理格局的转变。研究采用基于对象的影像分析框架结合支持向量机分类器，对定居点区域内的五类土地利用类型进行制图：树木覆盖、耕地、水体、建成区和裸地。分类精度通过分层随机抽样和Cohen's kappa系数进行评估，所有制图结果的κ值均高于0.80。研究采用分类后变化检测和转移矩阵量化各地类之间的转换面积（以公顷计），并运用桑基图（Sankey diagram）可视化土地利用转移的幅度与方向。结果表明，各研究县的树木覆盖变化呈现不同模式，既有与农林业扩张和农田树木保留相关的树木覆盖增加，也有由农业扩张和开发驱动的树木覆盖减少。这些变化可能影响当地生计，因为农田中的树木提供水果、薪材和遮荫等重要资源。研究结果证明了整合高分辨率遥感、基于对象的分类和桑基图可视化方法在分析复杂土地利用动态方面的有效性。","Environmental Monitoring and Assessment","2026-10-16T00:00:00Z",64,{"impact":20,"substance":17,"depth":240,"authority":19,"freshness":241,"relevant":21,"comment":242},16,9,"基于3米高分辨率遥感与面向对象分类的阿富汗东部案例研究，方法扎实、数据新颖，但属区域案例，公共影响有限，适合作为方法参考而非每日精选头条。",[244],{"name":236,"url":233},[26,27,246,247],"农林复合","阿富汗农业",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":251},{"candidates":252,"agricultural_evidence":46},[253,257],{"code":32,"score":45,"supported":46,"title":254,"abstract":255,"tags":256},[],[49,50],[26],{"code":68,"score":21,"supported":14,"title":258,"abstract":259,"tags":260},[],[],[27],[262,263],"楠格哈尔省 遥感 树冠覆盖","阿富汗 农林复合 土地利用","楠格哈尔省遥感树冠覆盖-5170","10.1007\u002Fs10661-026-16018-1",{"doi":265,"openalex_id":267,"authors":268,"venue":236,"cited_by_count":87,"oa_url":293,"card":294,"direction":94,"ingested_from":95},"W7222759855",[269,272,275,278,281,284,287,290],{"name":270,"orcid":271},"Farzaneh Razmju","https:\u002F\u002Forcid.org\u002F0009-0008-2445-7714",{"name":273,"orcid":274},"Baoling Gui","https:\u002F\u002Forcid.org\u002F0009-0004-8167-3860",{"name":276,"orcid":277},"Lydia Sam","https:\u002F\u002Forcid.org\u002F0000-0003-3181-2960",{"name":279,"orcid":280},"Anshuman Bhardwaj","https:\u002F\u002Forcid.org\u002F0000-0002-2502-6384",{"name":282,"orcid":283},"Mohammad Waris Haider","https:\u002F\u002Forcid.org\u002F0000-0002-2871-5740",{"name":285,"orcid":286},"Safiullah Khurram","https:\u002F\u002Forcid.org\u002F0000-0002-3278-3463",{"name":288,"orcid":289},"John W. Groninger","https:\u002F\u002Forcid.org\u002F0000-0001-6705-1978",{"name":291,"orcid":292},"David F. R. P. Burslem","https:\u002F\u002Forcid.org\u002F0000-0001-6033-0990","https:\u002F\u002Flink.springer.com\u002Fcontent\u002Fpdf\u002F10.1007\u002Fs10661-026-16018-1.pdf",{"tldr":295,"method":296,"finding":297,"direction":94,"opportunity":298},"用3米遥感影像分析阿富汗东部四区2016-2024年农地树木覆盖与土地利用变化。","3米高分辨率影像、面向对象分类+SVM、变化检测与桑基图。","农地树木覆盖有增有减，农林复合扩张带来增益，农业扩张与开发导致损失。","冲突地区农地树木覆盖动态与生计韧性关系尚缺长时序、多区域对比研究。","2026-10-17T23:30:28.623928Z",{"id":301,"title":302,"url":303,"summary":304,"summary_zh":305,"content":9,"source_name":306,"source_url":303,"published_at":237,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":307,"score_detail":308,"sources":312,"tags":314,"primary_topic":317,"secondary_topics":318,"classification":319,"search_phrases":330,"slug":333,"view_count":21,"doi":334,"paper":335,"created_at":357},5168,"Study on barchan dune movement velocity using fiber optic sensing theory and technology: a case study in the Tengger Desert, China","https:\u002F\u002Fdoi.org\u002F10.1088\u002F1402-4896\u002Faeb58f","Abstract Dune movement velocity monitoring is essential to the study of desert ecosystem evolution, the protection of surrounding agriculture, and the prevention of wind erosion. However, traditional monitoring technologies such as field marking, GPS positioning, and image remote sensing suffer from limited accuracy and resistance to interference under harsh desert conditions. To address these issues, this study integrates Brillouin optical time-domain reflectometry (BOTDR) with aeolian sand dynamics to establish a theory and methodology for measuring dune movement velocity via optical fiber sensing. Specifically, a physical model is constructed to describe the complete transmission chain from wind forcing, through dune deformation and optical fiber strain transfer. Utilizing the proposed theory and method, numerical simulations are performed on barchan dunes in the Tengger Desert to analyze the movement velocities of dunes with varying widths, and the results are compared with those obtained through traditional monitoring technologies. It indicates that the proposed method exhibits advantages in terms of monitoring frequency and spatial resolution. The theory and methodology provide technical support for the scientific monitoring of mobile dunes and the prevention of desertification.","摘要 沙丘移动速度监测对沙漠生态系统演化研究、周边农业保护及风蚀防治具有重要意义。然而，野外标记、GPS定位、影像遥感等传统监测技术在沙漠恶劣条件下存在精度有限、抗干扰能力不足等问题。针对上述问题，本研究将布里渊光时域反射技术(BOTDR)与风沙动力学相结合，建立了基于光纤传感的沙丘移动速度测量理论与方法。具体而言，构建了描述风力驱动、沙丘变形至光纤应变传递完整链条的物理模型。利用所提理论与方法，对腾格里沙漠新月形沙丘开展数值模拟，分析了不同宽度沙丘的移动速度，并与传统监测技术所得结果进行对比。结果表明，所提方法在监测频率和空间分辨率方面具有优势。该理论与方法为流动沙丘科学监测及荒漠化防治提供了技术支撑。","Physica Scripta",71,{"impact":108,"substance":309,"depth":310,"authority":19,"freshness":241,"relevant":21,"comment":311},20,17,"将BOTDR光纤传感用于沙丘移动速度监测，方法新颖且对荒漠化防治与农田风蚀防护有实用价值，但属细分领域论文，影响范围有限。",[313],{"name":306,"url":303},[26,29,315,316],"光纤传感","风沙监测",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":320},{"candidates":321,"agricultural_evidence":46},[322,326],{"code":32,"score":45,"supported":46,"title":323,"abstract":324,"tags":325},[],[49,50],[26],{"code":68,"score":21,"supported":14,"title":327,"abstract":328,"tags":329},[],[],[29],[331,332],"腾格尔沙漠 沙丘移动 光纤传感","BOTDR 沙丘移动速度","腾格尔沙漠沙丘移动光纤传感-5168","10.1088\u002F1402-4896\u002Faeb58f",{"doi":334,"openalex_id":336,"authors":337,"venue":306,"cited_by_count":87,"oa_url":9,"card":352,"direction":94,"ingested_from":95},"W7222732569",[338,340,343,345,347,349],{"name":339,"orcid":9},"Kesen Tao",{"name":341,"orcid":342},"Xin Ma","https:\u002F\u002Forcid.org\u002F0009-0001-2609-8718",{"name":344,"orcid":9},"Jinsheng Yu",{"name":346,"orcid":9},"Zhiting Li",{"name":348,"orcid":9},"Wenhai Sun",{"name":350,"orcid":351},"Xingcai Li","https:\u002F\u002Forcid.org\u002F0000-0003-3257-1601",{"tldr":353,"method":354,"finding":355,"direction":227,"opportunity":356},"提出基于BOTDR光纤传感的沙丘移动速度测量理论与方法，并在腾格里沙漠验证。","将布里渊光时域反射技术与风沙动力学结合，构建风-沙丘变形-光纤应变传递模型并数值","该方法在监测频率和空间分辨率上优于传统标记、GPS和遥感技术。","可将光纤传感用于农田风蚀与沙丘入侵的实时监测预警，弥补传统遥感精度不足。","2026-10-17T23:30:28.493340Z",{"id":359,"title":360,"url":361,"summary":362,"summary_zh":363,"content":9,"source_name":364,"source_url":361,"published_at":365,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":87,"score_detail":366,"sources":368,"tags":370,"primary_topic":372,"secondary_topics":373,"classification":374,"search_phrases":385,"slug":388,"view_count":87,"doi":389,"paper":390,"created_at":402},5094,"An Investigation of Built-up Area Expansion in the Syrian Coastal Mountain Environment","https:\u002F\u002Fdoi.org\u002F10.14246\u002Firspsd.14.4_109","As built-up expansion in the Syrian coastal mountainous areas intensifies, its environmental impacts are becoming increasingly severe. Existing research, however, offers limited quantitative evidence to elucidate the dynamics of this phenomenon. This study addresses this gap by employing mixed-method techniques at the district level of Safita. Landsat satellite imagery, remote sensing, and ArcGIS software were used to classify and analyze geospatial data from 2010 to 2020. Statistical methodologies were then applied to investigate spatio-temporal built-up growth, identify the drivers of expansion, and evaluate resultant spatial patterns. The analysis reveals accelerated built-up expansion, with the most dramatic growth occurring in southern peripheral zones, recording increases of 150-169%. The study identifies a persistent trend of low-density, dispersed sprawl following a non-linear trajectory, evidenced by Shannon's entropy increasing steadily to 0.89 by 2020. Analysis of Urban Expansion Rate and Intensity indices shows a distinct shift from moderate, semi-efficient growth (2010–2015) to rapid and extensive sprawl (2015–2020). Furthermore, the Built-up Expansion Index demonstrates an evolution from initial economically driven leapfrog expansion through conflict-induced infilling consolidation to a final hybrid pattern combining edge-expansion and ribbon development. Kernel Density Estimation reveals a fundamental spatial transformation from semi-concentrated hotspots to widespread medium-density sprawl, strongly constrained by physical factors. Specifically, 93% of built-up areas concentrated on gentle slopes (0-15%), and 68% were located within 200 meters of road networks. These findings underscore the urgent need for planning decision-makers to implement strict regulatory measures that curb built-up sprawl, protect agricultural lands and natural resources, and guide growth through updated master plans to achieve sustainable development.","随着叙利亚沿海山区建成区扩张不断加剧，其环境影响日益严重。然而，现有研究在阐明这一现象的动态方面提供的定量证据有限。本研究通过在萨菲塔区级层面采用混合方法技术来填补这一空白。利用Landsat卫星影像、遥感技术和ArcGIS软件对2010年至2020年的地理空间数据进行分类和分析。随后应用统计方法研究建成区的时空增长，识别扩张的驱动因素，并评估由此产生的空间格局。分析揭示了建成区扩张的加速，最显著的增长发生在南部边缘地带，增幅达150%至169%。研究识别出低密度、分散式蔓延的持续趋势，呈非线性轨迹，香农熵（Shannon's entropy）到2020年稳步上升至0.89即为明证。城市扩张速率和强度指数的分析显示，从2010至2015年的温和、半高效增长明显转向2015至2020年的快速、广泛蔓延。此外，建成区扩张指数（Built-up Expansion Index）表明，扩张从最初经济驱动的跳跃式扩展，经过冲突引发的填充式整合，演变为边缘扩展与带状发展相结合的最终混合模式。核密度估计（Kernel Density Estimation）揭示了从半集中热点向广泛中密度蔓延的根本性空间转变，且受自然因素的强烈制约。具体而言，93%的建成区集中在缓坡（0-15%）上，68%位于道路网络200米范围内。这些发现凸显了规划决策者迫切需要实施严格的监管措施，以遏制建成区蔓延，保护农田和自然资源，并通过更新总体规划引导增长，以实现可持续发展。","International Review for Spatial Planning and Sustainable Development","2026-10-14T00:00:00Z",{"impact":87,"substance":87,"depth":87,"authority":87,"freshness":87,"relevant":87,"comment":367},"研究叙利亚沿海山区建成区扩张，属城市规划与环境领域，与三农、农业信息化、数字乡村无关。",[369],{"name":364,"url":361},[26,27,371],"城市扩张",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":375},{"candidates":376,"agricultural_evidence":46},[377,381],{"code":32,"score":45,"supported":46,"title":378,"abstract":379,"tags":380},[],[49,50],[26],{"code":68,"score":21,"supported":14,"title":382,"abstract":383,"tags":384},[],[],[27],[386,387],"叙利亚沿海山区 建成区扩张","Safita 遥感 土地利用","叙利亚沿海山区建成区扩张-5094","10.14246\u002Firspsd.14.4_109",{"doi":389,"openalex_id":391,"authors":392,"venue":364,"cited_by_count":87,"oa_url":396,"card":397,"direction":94,"ingested_from":95},"W7221786958",[393],{"name":394,"orcid":395},"Tarek Rahmoun","https:\u002F\u002Forcid.org\u002F0000-0001-5112-2487","https:\u002F\u002Fwww.jstage.jst.go.jp\u002Farticle\u002Firspsd\u002F14\u002F4\u002F14_6\u002F_pdf",{"tldr":398,"method":399,"finding":400,"direction":94,"opportunity":401},"研究叙利亚沿海山区萨菲塔地区2010-2020年建设用地扩张动态、驱动因素与空间格局。","Landsat影像、遥感与ArcGIS分类，结合统计方法分析时空扩张。","建设用地加速低密度蔓延，93%集中于缓坡、68%靠近道路，熵值升至0.89。","可结合遥感与机器学习，量化山区建设用地扩张对农地流失和生态的长期影响。","2026-10-16T23:30:28.556800Z",{"id":404,"title":405,"url":406,"summary":407,"summary_zh":408,"content":9,"source_name":409,"source_url":406,"published_at":410,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":87,"score_detail":411,"sources":413,"tags":415,"primary_topic":416,"secondary_topics":417,"classification":418,"search_phrases":433,"slug":436,"view_count":21,"doi":437,"paper":438,"created_at":450},4679,"Spatio-temporal variation of urban sprawl in Tura town using the Shannon entropy model","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23277607","Abstract Urbanization is driving substantial transformation of cities worldwide, with unmanaged expansion often resulting in urban sprawl and the loss of agricultural land, forests, and environmentally sensitive areas. Tura Town, headquarters of West Garo Hills District, has experienced steady urban growth over the past two decades, yet few studies have examined its expansion pattern. This study aims to analyse the spatio-temporal variation and assessing the degree and directional patterns of urban sprawl from 2006 to 2026 using Remote Sensing, GIS, and Shannon's Entropy Index. Landsat imagery was classified into LULC categories, with accuracy validated through a confusion matrix, achieving satisfactory results (77–81%). Built-up area increased from 10 km² to 17 km²—a 70% rise, with faster growth occurring during 2006–2016 (40%) than 2016–2026 (21.4%). Shannon's Entropy Index revealed the compactness or dispersal of growth, while buffer and directional analyses identified expansion patterns. The findings offer valuable insights for sustainable urban planning and land-use management in Tura Town. Keyword: Urban sprawl, Urbanization, Land use\u002Fland cover (LULC), Remote Sensing, GIS, Shannon's Entropy Index, Built-up area, Tura Town, Spatio-temporal analysis, Sustainable urban planning","摘要 城市化正推动全球城市发生深刻转型，而无序扩张往往导致城市蔓延以及农田、森林和环境敏感区域的丧失。作为西加罗丘陵县首府的图拉镇，过去二十年经历了稳定的城市增长，但对其扩张模式的研究却很少。本研究旨在利用遥感、地理信息系统和香农熵指数，分析2006年至2026年城市蔓延的时空变化，并评估其程度与方向性模式。研究将Landsat影像分类为土地利用\u002F土地覆盖（LULC）类别，并通过混淆矩阵验证精度，取得了令人满意的结果（77%–81%）。建成区面积从10平方公里增至17平方公里，增长了70%，其中2006—2016年（40%）的增长快于2016—2026年（21.4%）。香农熵指数揭示了增长的紧凑或分散特征，而缓冲区和方向性分析则识别了扩张模式。研究结果为图拉镇的可持续城市规划和土地利用管理提供了有价值的见解。关键词：城市蔓延，城市化，土地利用\u002F土地覆盖（LULC），遥感，地理信息系统，香农熵指数，建成区，图拉镇，时空分析，可持续城市规划","Zenodo (CERN European Organization for Nuclear Research)","2026-10-10T00:00:00Z",{"impact":87,"substance":87,"depth":87,"authority":87,"freshness":87,"relevant":87,"comment":412},"该论文研究印度图拉镇城市扩张的遥感与熵模型分析，属城市地理与土地利用范畴，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。",[414],{"name":409,"url":406},[26,27,371],{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":419},{"candidates":420,"agricultural_evidence":46},[421,425,429],{"code":32,"score":45,"supported":46,"title":422,"abstract":423,"tags":424},[],[49,50],[26],{"code":53,"score":54,"supported":46,"title":426,"abstract":427,"tags":428},[],[57,184],[],{"code":68,"score":21,"supported":14,"title":430,"abstract":431,"tags":432},[],[],[27],[434,435],"土地利用 城市扩张 遥感监测","土地利用 城市扩张","土地利用城市扩张遥感监测-4679","10.5281\u002Fzenodo.23277607",{"doi":437,"openalex_id":439,"authors":440,"venue":409,"cited_by_count":87,"oa_url":406,"card":445,"direction":94,"ingested_from":95},"W7221355035",[441,443],{"name":442,"orcid":9},"Kambai Ch. Marak",{"name":444,"orcid":9},"Bring Blessing L Ryntathiang",{"tldr":446,"method":447,"finding":448,"direction":94,"opportunity":449},"用遥感、GIS和香农熵分析印度图拉镇2006-2026年城市蔓延的时空变化。","Landsat影像分类LULC，混淆矩阵验证精度77-81%，结合香农熵、缓冲与","建成区从10增至17平方公里（增70%），2006-2016年增长快于2016-2026年，熵值揭示","可结合耕地流失与农业用地破碎化，评估城市蔓延对农业生态系统的长期影响。","2026-10-11T23:30:30.230545Z"]