[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3183":3,"related-3183":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":24,"tags":26,"primary_topic":32,"secondary_topics":38,"classification":39,"search_phrases":71,"slug":74,"view_count":53,"doi":75,"paper":76,"created_at":90},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。",null,"Land","2026-09-20T00:00:00Z","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,"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。",[25],{"name":10,"url":6},[27,28,29,30,31],"气候变化","遥感监测","土地利用","植被覆盖","绿洲农业",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},"I3","remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing","I",[],{"status":40,"locked":14,"version":41,"method":42,"evidence":43},"classified","2026-10-22.2","rules",{"candidates":44,"agricultural_evidence":46},[45,51,59,66],{"code":33,"score":13,"supported":46,"title":47,"abstract":49,"tags":50},true,[48],"remote sensing",[],[30,28],{"code":52,"score":53,"supported":46,"title":54,"abstract":55,"tags":58},"H2",6,[],[56,57],"土壤","soil",[],{"code":60,"score":61,"supported":46,"title":62,"abstract":63,"tags":65},"H7",4,[],[64],"干旱",[27],{"code":67,"score":22,"supported":14,"title":68,"abstract":69,"tags":70},"H6",[],[],[29],[72,73],"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":75,"openalex_id":77,"authors":78,"venue":10,"cited_by_count":82,"oa_url":6,"card":83,"direction":87,"ingested_from":89},"W7213862324",[79],{"name":80,"orcid":81},"Amal H. Aljaddani","https:\u002F\u002Forcid.org\u002F0000-0003-1171-8416",0,{"tldr":84,"method":85,"finding":86,"direction":87,"opportunity":88},"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。","农业遥感与作物表型","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。","openalex","2026-09-22T23:30:25.304168Z",{"total":53,"page":22,"page_size":53,"items":92},[93,161,225,295,354,426],{"id":94,"title":95,"url":96,"summary":97,"summary_zh":98,"content":9,"source_name":99,"source_url":96,"published_at":100,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":101,"score_detail":102,"sources":106,"tags":108,"primary_topic":111,"secondary_topics":112,"classification":113,"search_phrases":136,"slug":139,"view_count":22,"doi":140,"paper":141,"created_at":160},4678,"Remote Sensing-based Integration of Land Use\u002FLand Cover, Vegetation Cover, and Land Surface Temperature with Hydrological Implications in Tikrit City, Iraq","https:\u002F\u002Fdoi.org\u002F10.14445\u002F23488352\u002Fijce-v13i9p115","This study examines the integrated relationship among Land Use\u002FLand Cover (LULC), Normalized Difference Vegetation Index (NDVI), and Land Surface Temperature (LST), with hydrological implications, in Tikrit City, Iraq, using Landsat data acquired in 2017 and 2025. LULC, NDVI, and LST layers were prepared using the same spatial boundary, and 4124 paired sample points were extracted from identical locations to support temporal and statistical comparison. The LULC results showed a clear reduction in Soil from 70.52% in 2017 to 49.88% in 2025, whereas Vegetation increased from 25.49% to 44.12%. Built Area also increased from 3.08% to 4.90%, indicating moderate urban expansion. The dominant land-cover transition was from Soil to Vegetation, covering 66,014.66 ha. Mean NDVI increased significantly from 0.061 to 0.075, while mean LST remained statistically stable, changing only from 41.992°C to 42.031°C. However, non-parametric tests indicated that the spatial distribution of LST changed significantly. The NDVI–LST relationship was positive in both years, with Pearson correlation increasing from 0.670 in 2017 to 0.709 in 2025. Regression analysis showed that NDVI explained 44.9% and 50.2% of LST variation in 2017 and 2025, respectively. Class-based analysis indicated that the dominant heat-contributing class shifted from Soil in 2017 to Built Area in 2025. These findings show that surface thermal behavior in Tikrit City cannot be explained by vegetation cover alone, but depends on land-cover composition, mixed pixels, agricultural activity, soil exposure, surface moisture, and seasonal conditions. From a hydrological perspective, the reduction of exposed soil, expansion of vegetation, and growth of built-up areas have implications for infiltration opportunity, runoff potential, evapotranspiration tendency, and surface moisture retention.","本研究利用2017年和2025年获取的Landsat数据，考察了伊拉克提克里特市土地利用\u002F土地覆盖（LULC）、归一化植被指数（NDVI）和地表温度（LST）之间的综合关系及其水文意义。LULC、NDVI和LST图层采用相同的空间边界制备，并从相同位置提取了4124对样本点，以支持时间与统计比较。LULC结果显示，土壤占比从2017年的70.52%明显下降至2025年的49.88%，而植被占比从25.49%上升至44.12%。建成区面积也从3.08%增至4.90%，表明存在中等程度的城市扩张。主导性土地覆盖转变为由土壤转为植被，覆盖面积达66,014.66公顷。平均NDVI从0.061显著增至0.075，而平均LST在统计上保持稳定，仅从41.992°C变为42.031°C。然而，非参数检验表明LST的空间分布发生了显著变化。NDVI与LST的关系在两年中均为正相关，Pearson相关系数从2017年的0.670增至2025年的0.709。回归分析表明，NDVI在2017年和2025年分别解释了LST变异的44.9%和50.2%。基于类别的分析表明，主要的热贡献类别从2017年的土壤转变为2025年的建成区。这些发现表明，提克里特市的地表热行为不能仅由植被覆盖来解释，而是取决于土地覆盖组成、混合像元、农业活动、土壤裸露、地表湿度和季节条件。从水文角度看，裸露土壤减少、植被扩张和建成区增长对下渗机会、径流潜力、蒸散发趋势和地表水分保持具有影响。","International Journal of Civil Engineering","2026-10-10T00:00:00Z",68,{"impact":21,"substance":103,"depth":104,"authority":20,"freshness":13,"relevant":22,"comment":105},20,17,"基于Landsat双期影像量化伊拉克提克里特市土地利用、植被与地表温度耦合关系及其水文效应，数据扎实、结论明确，对农业遥感与土地变化研究有参考价值，但地域性强、国内关联度有限。",[107],{"name":99,"url":96},[28,29,109,30,110],"地表温度","水文响应",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":114},{"candidates":115,"agricultural_evidence":46},[116,121,125,132],{"code":33,"score":117,"supported":46,"title":118,"abstract":119,"tags":120},11,[48],[],[109,30,28],{"code":52,"score":53,"supported":46,"title":122,"abstract":123,"tags":124},[],[56,57],[],{"code":126,"score":53,"supported":46,"title":127,"abstract":128,"tags":131},"H3",[],[129,130],"蒸散发","evapotranspiration",[],{"code":67,"score":22,"supported":14,"title":133,"abstract":134,"tags":135},[],[],[29],[137,138],"Landsat 土地利用 植被覆盖 地表温度","土地利用 地表温度 植被覆盖 水文响应","Landsat土地利用植被覆盖地表温度-4678","10.14445\u002F23488352\u002Fijce-v13i9p115",{"doi":140,"openalex_id":142,"authors":143,"venue":99,"cited_by_count":82,"oa_url":154,"card":155,"direction":87,"ingested_from":89},"W7221352158",[144,146,148,151],{"name":145,"orcid":9},"Omar Taher Nafe'e",{"name":147,"orcid":9},"Dalia Shaker Mahdi",{"name":149,"orcid":150},"Lubna B. Mahmood","https:\u002F\u002Forcid.org\u002F0009-0000-4428-4891",{"name":152,"orcid":153},"Asmaa Abdul Jabbar Jamel","https:\u002F\u002Forcid.org\u002F0000-0001-7602-3426","https:\u002F\u002Fwww.internationaljournalssrg.org\u002F..\u002FIJCE\u002F2026\u002FVolume13-Issue9\u002FIJCE-V13I9P115.pdf",{"tldr":156,"method":157,"finding":158,"direction":87,"opportunity":159},"基于Landsat 2017与2025年数据，分析伊拉克提克里特市LULC、NDVI与LST的耦合关","Landsat影像、4124个配对样点、NDVI与LST反演、相关与回归分析。","植被增加、裸土减少，LST均值稳定但空间分布显著变化，NDVI-LST正相关增强，主导热贡献由裸土转","可结合土壤湿度与蒸散数据，探究NDVI-LST正相关机制及混合像元对城市农业水文过程的影响。","2026-10-11T23:30:30.165387Z",{"id":162,"title":163,"url":164,"summary":165,"summary_zh":166,"content":9,"source_name":10,"source_url":164,"published_at":167,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":168,"score_detail":169,"sources":171,"tags":173,"primary_topic":176,"secondary_topics":177,"classification":178,"search_phrases":204,"slug":207,"view_count":22,"doi":208,"paper":209,"created_at":224},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。","2026-09-30T00:00:00Z",79,{"impact":19,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":170},"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。",[172],{"name":10,"url":164},[28,29,31,174,175],"荒漠化防治","生态阈值",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":179},{"candidates":180,"agricultural_evidence":46},[181,187,194,199],{"code":33,"score":182,"supported":46,"title":183,"abstract":184,"tags":186},7,[],[185,48],"遥感",[28],{"code":188,"score":53,"supported":46,"title":189,"abstract":190,"tags":193},"I4",[],[191,192],"地理信息","geographic information",[],{"code":60,"score":195,"supported":46,"title":196,"abstract":197,"tags":198},3,[],[64],[],{"code":67,"score":200,"supported":14,"title":201,"abstract":202,"tags":203},2,[],[],[29,174],[205,206],"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":208,"openalex_id":210,"authors":211,"venue":10,"cited_by_count":82,"oa_url":164,"card":218,"direction":87,"ingested_from":89},"W7214912709",[212,215],{"name":213,"orcid":214},"Xiaodong Zhang","https:\u002F\u002Forcid.org\u002F0000-0002-9616-9139",{"name":216,"orcid":217},"Yongjun Tang","https:\u002F\u002Forcid.org\u002F0009-0008-2743-5473",{"tldr":219,"method":220,"finding":221,"direction":222,"opportunity":223},"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。","2026-10-01T23:30:28.901978Z",{"id":226,"title":227,"url":228,"summary":229,"summary_zh":230,"content":9,"source_name":231,"source_url":232,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":233,"score_detail":234,"sources":237,"tags":239,"primary_topic":242,"secondary_topics":243,"classification":248,"search_phrases":275,"slug":278,"view_count":279,"doi":280,"paper":281,"created_at":294},3187,"Spatio-temporal analysis of Land Use and Land Cover (LULC) change using high resolution satellite data: A case study of Nagaon, Assam","https:\u002F\u002Fdoi.org\u002F10.31018\u002Fjans.v18i3.7774","Geographic information systems (GIS) coupled with satellite remote sensing (RS) have had a significant impact on the assessment and mapping of land surface dynamics, specifically the analysis of land-use land-cover (LULC) change. This study uses high-resolution multispectral LISS-IV (Linear Imaging Self-Scanning Sensor-IV) imagery with a 5.8-meter resolution to evaluate LULC trends in the Nagaon district of Assam between 2015 and 2024. Land use classes in a variety of categories, including vegetation, water bodies, agricultural land, built-up areas, scrubland, sandbars, tea plantations, and trees outside forests (TOF), were identified applying the maximum likelihood classification algorithm. Overall, The accuracy was 85.7% in 2015 and 90.3% in 2024, with respective Kappa Coefficients of 0.836 and 0.889, respectively. The results showed that between 2015 and 2024, the areas of tea plantations, natural vegetation, scrubland, and agricultural land fell by 0.26%, 6.14%, 0.26%, and 9.83%, respectively. Conversely, the waterbody, sandbar, built-up, and TOF have all increased by 0.29%, 0.91%, 0.82%, and 14.46%, respectively. This noticeable shift from conventional agricultural and natural vegetation landscapes toward tree-based systems and urban expansion on the study area, emphasize on matters concerning climate stress, declining soil fertility, economic benefits, policy support, and the need for resilient livelihoods.","地理信息系统（GIS）与卫星遥感（RS）相结合，对地表动态的评估与制图产生了显著影响，尤其是土地利用与土地覆盖（LULC）变化分析。本研究利用分辨率为5.8米的高分辨率多光谱LISS-IV（线性成像自扫描传感器-IV）影像，评估了阿萨姆邦纳冈县2015年至2024年间的LULC变化趋势。采用最大似然分类算法，识别了植被、水体、农地、建设用地、灌丛地、沙洲、茶园及林外树木（TOF）等多种土地利用类别。总体而言，2015年分类精度为85.7%，2024年为90.3%，Kappa系数分别为0.836和0.889。结果表明，2015年至2024年间，茶园、自然植被、灌丛地和农地面积分别减少了0.26%、6.14%、0.26%和9.83%。相反，水体、沙洲、建设用地和TOF分别增加了0.29%、0.91%、0.82%和14.46%。研究区从传统农业和自然植被景观向林基系统和城市扩张的显著转变，凸显了气候胁迫、土壤肥力下降、经济效益、政策支持以及韧性生计需求等相关问题。","Journal of Applied and Natural Science","https:\u002F\u002Fjournals.ansfoundation.org\u002Findex.php\u002Fjans\u002Farticle\u002Fview\u002F7774",62,{"impact":21,"substance":19,"depth":235,"authority":20,"freshness":21,"relevant":22,"comment":236},15,"基于高分辨率遥感的区域土地利用变化实证研究，方法规范、数据翔实，对农业遥感监测有参考价值，但属地方性案例，公共影响有限。",[238],{"name":231,"url":232},[240,28,29,241,30],"农业遥感","印度农业",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[244],{"code":188,"slug":245,"name":246,"path":247,"parent_code":37},"gis","GIS与空间分析","\u002Ftopic\u002Fdigital-agriculture\u002Fgis",{"status":40,"locked":14,"version":41,"method":42,"evidence":249},{"candidates":250,"agricultural_evidence":46},[251,256,262,266,270],{"code":33,"score":17,"supported":46,"title":252,"abstract":253,"tags":255},[],[185,48,254],"multispectral",[240,30,28],{"code":188,"score":257,"supported":46,"title":258,"abstract":259,"tags":261},9,[],[191,260,192],"GIS",[],{"code":52,"score":53,"supported":46,"title":263,"abstract":264,"tags":265},[],[56,57],[],{"code":67,"score":22,"supported":14,"title":267,"abstract":268,"tags":269},[],[],[29],{"code":271,"score":22,"supported":14,"title":272,"abstract":273,"tags":274},"J3",[],[],[241],[276,277],"Nagaon Assam LULC 遥感","LISS-IV 土地利用变化","NagaonAssamLULC遥感-3187",5,"10.31018\u002Fjans.v18i3.7774",{"doi":280,"openalex_id":282,"authors":283,"venue":231,"cited_by_count":82,"oa_url":232,"card":289,"direction":87,"ingested_from":89},"W7213942371",[284,286],{"name":285,"orcid":9},"J. C. Das",{"name":287,"orcid":288},"Prodyut Bhattacharya","https:\u002F\u002Forcid.org\u002F0000-0002-4294-5585",{"tldr":290,"method":291,"finding":292,"direction":87,"opportunity":293},"利用高分辨率卫星影像分析印度阿萨姆邦纳冈地区2015-2024年土地利用\u002F覆盖变化。","LISS-IV 5.8米多光谱影像，最大似然分类，精度与Kappa系数评估。","农业用地和自然植被分别减少9.83%和6.14%，而林外树木和建设用地分别增加14.46%和0.82","可结合时序高分辨率影像与农户调查，探究林外树木扩张对农业韧性和碳汇的驱动机制。","2026-09-22T23:30:25.539323Z",{"id":296,"title":297,"url":298,"summary":299,"summary_zh":300,"content":9,"source_name":301,"source_url":298,"published_at":302,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":303,"score_detail":304,"sources":308,"tags":310,"primary_topic":313,"secondary_topics":314,"classification":315,"search_phrases":330,"slug":333,"view_count":22,"doi":334,"paper":335,"created_at":353},2175,"Human-induced land use change and population pressure as drivers of landslide occurrence during Cyclone Ditwah in Sri Lanka","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.rineng.2026.112851","Landslides are primarily triggered by earthquakes and extreme rainfall events, although anthropogenic factors such as vegetation change, deforestation, and unplanned land development can amplify their occurrence and severity. Landslides are catastrophic disasters that lead to fatalities, infrastructure damage, and economic disruption. Sri Lanka recently experienced the impact of Cyclone Ditwah in November 2025; the disaster resulted in 643 confirmed deaths, with 183 individuals missing. More than 6000 houses were completely destroyed, and nearly 114,000 sustained damage. However, it was observed that population density and land use and land cover (LULC) changes have some relationship to this damage. With the advancement of remote sensing technology, multispectral images were analyzed to assess how LULC affected natural disasters, alongside 2024 census data. The results of this study demonstrate that built-up and crop land areas have increased, while vegetation cover has decreased from 2017 to 2024. Furthermore, the findings indicate that landslide occurrence is associated with anthropogenic activities, such as urbanization and crop land development near the slope, which may contributed to reduced slope stability. The landslide-prone areas are located near hilly slopes with gradients greater than 30°. The Ududumbara–Minipe and Rideegama–Lunugala case studies demonstrate that landslides occurred more frequently on destabilized gentle slopes than on undisturbed steep slopes in these specific case-study areas, a pattern likely reflecting local anthropogenic disturbance rather than a general slope-stability principle. These findings highlight the importance of measuring and tailoring land-use policies related to urbanization, crop land, and settlement development in mountain regions to mitigate landslide risk.","滑坡主要由地震和极端降雨事件触发，尽管植被变化、森林砍伐和无序土地开发等人为因素会加剧其发生频率和严重程度。滑坡是导致人员伤亡、基础设施破坏和经济损失的重大灾害。斯里兰卡于2025年11月遭遇了气旋迪特瓦（Cyclone Ditwah）的冲击；该灾害造成643人确认死亡，183人失踪。超过6000栋房屋完全损毁，近114000栋房屋受损。然而，观测发现人口密度与土地利用和土地覆盖（LULC）变化与此次损害存在一定关联。随着遥感技术的进步，本研究利用多光谱影像分析了LULC如何影响自然灾害，并结合2024年人口普查数据。研究结果表明，2017年至2024年间，建成区和农田面积有所增加，而植被覆盖有所减少。此外，研究结果显示滑坡的发生与人为活动有关，如坡体附近的城市化和农田开发，这些活动可能降低了边坡稳定性。滑坡易发区位于坡度大于30°的丘陵斜坡附近。Ududumbara–Minipe和Rideegama–Lunugala案例研究表明，在这些特定研究区域内，滑坡在失稳的缓坡上比在未受扰动的陡坡上发生更为频繁，这一模式可能反映的是局部人为扰动，而非普遍的边坡稳定性规律。这些发现凸显了衡量并制定与山区城市化、农田和聚落开发相关的土地利用政策的必要性，以降低滑坡风险。","Results in Engineering","2026-09-08T00:00:00Z",76,{"impact":305,"substance":306,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":307},16,21,"基于多光谱遥感与人口普查数据揭示斯里兰卡气旋滑坡的人为驱动机制，对山地乡村土地规划与灾害风险治理有参考价值，但属境外案例、非农业信息化核心议题。",[309],{"name":301,"url":298},[27,28,29,311,312],"滑坡灾害","乡村规划",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":316},{"candidates":317,"agricultural_evidence":46},[318,322,326],{"code":33,"score":13,"supported":46,"title":319,"abstract":320,"tags":321},[],[185,48,254],[28],{"code":67,"score":22,"supported":14,"title":323,"abstract":324,"tags":325},[],[],[29],{"code":60,"score":22,"supported":14,"title":327,"abstract":328,"tags":329},[],[],[27],[331,332],"乡村规划 土地利用 气候变化 滑坡灾害","乡村规划 土地利用","乡村规划土地利用气候变化滑坡灾害-2175","10.1016\u002Fj.rineng.2026.112851",{"doi":334,"openalex_id":336,"authors":337,"venue":301,"cited_by_count":82,"oa_url":347,"card":348,"direction":87,"ingested_from":89},"W7211923709",[338,341,344],{"name":339,"orcid":340},"Janith De Silva","https:\u002F\u002Forcid.org\u002F0009-0002-5124-1018",{"name":342,"orcid":343},"Shanika Arachchi","https:\u002F\u002Forcid.org\u002F0000-0002-3128-1947",{"name":345,"orcid":346},"Upaka Rathnayake","https:\u002F\u002Forcid.org\u002F0000-0002-7341-9078","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS259012302603865X\u002Fpdf",{"tldr":349,"method":350,"finding":351,"direction":87,"opportunity":352},"分析斯里兰卡气旋Ditwah期间土地利用变化与人口压力对滑坡发生的影响。","多光谱遥感影像与2024年人口普查数据，分析2017-2024年LULC变化。","建设用地和耕地增加、植被减少，人类活动降低边坡稳定性，加剧滑坡风险。","可结合多时相遥感与人口数据，构建山区土地利用变化驱动的滑坡风险预警模型。","2026-09-11T23:30:33.053909Z",{"id":355,"title":356,"url":357,"summary":358,"summary_zh":359,"content":9,"source_name":360,"source_url":357,"published_at":361,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":82,"score_detail":362,"sources":364,"tags":366,"primary_topic":369,"secondary_topics":370,"classification":371,"search_phrases":392,"slug":395,"view_count":82,"doi":396,"paper":397,"created_at":425},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":82,"substance":82,"depth":82,"authority":82,"freshness":82,"relevant":82,"comment":363},"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。",[365],{"name":360,"url":357},[28,29,367,368],"土壤侵蚀","乡村人口",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":372},{"candidates":373,"agricultural_evidence":46},[374,378,382,388],{"code":33,"score":182,"supported":46,"title":375,"abstract":376,"tags":377},[],[185,48],[28],{"code":188,"score":195,"supported":46,"title":379,"abstract":380,"tags":381},[],[260],[],{"code":383,"score":195,"supported":46,"title":384,"abstract":385,"tags":387},"I7",[],[386],"methodological framework",[],{"code":67,"score":22,"supported":14,"title":389,"abstract":390,"tags":391},[],[],[29],[393,394],"Kolubara 河岸侵蚀","Obrenovac 土地利用","Kolubara河岸侵蚀-5390","10.59954\u002Fstnv.797",{"doi":396,"openalex_id":398,"authors":399,"venue":360,"cited_by_count":82,"oa_url":357,"card":419,"direction":87,"ingested_from":89},"W7222945959",[400,403,406,408,411,414,417],{"name":401,"orcid":402},"Slavoljub Dragićević","https:\u002F\u002Forcid.org\u002F0000-0002-1417-5405",{"name":404,"orcid":405},"Marko Langović","https:\u002F\u002Forcid.org\u002F0000-0002-4614-7265",{"name":407,"orcid":9},"Милан Радовић",{"name":409,"orcid":410},"Radislav Tošić","https:\u002F\u002Forcid.org\u002F0000-0002-3994-125X",{"name":412,"orcid":413},"Milica Langović","https:\u002F\u002Forcid.org\u002F0000-0002-6979-377X",{"name":415,"orcid":416},"Novica Lovrić","https:\u002F\u002Forcid.org\u002F0009-0006-0838-4370",{"name":418,"orcid":9},"Manojlović Stefan",{"tldr":420,"method":421,"finding":422,"direction":423,"opportunity":424},"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":427,"title":428,"url":429,"summary":430,"summary_zh":431,"content":9,"source_name":432,"source_url":429,"published_at":433,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":434,"score_detail":435,"sources":437,"tags":439,"primary_topic":442,"secondary_topics":443,"classification":444,"search_phrases":455,"slug":458,"view_count":22,"doi":459,"paper":460,"created_at":493},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":21,"substance":19,"depth":305,"authority":20,"freshness":257,"relevant":22,"comment":436},"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。",[438],{"name":432,"url":429},[28,29,440,441],"农林复合","阿富汗农业",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":445},{"candidates":446,"agricultural_evidence":46},[447,451],{"code":33,"score":182,"supported":46,"title":448,"abstract":449,"tags":450},[],[185,48],[28],{"code":67,"score":22,"supported":14,"title":452,"abstract":453,"tags":454},[],[],[29],[456,457],"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":459,"openalex_id":461,"authors":462,"venue":432,"cited_by_count":82,"oa_url":487,"card":488,"direction":87,"ingested_from":89},"W7222759855",[463,466,469,472,475,478,481,484],{"name":464,"orcid":465},"Farzaneh Razmju","https:\u002F\u002Forcid.org\u002F0009-0008-2445-7714",{"name":467,"orcid":468},"Baoling Gui","https:\u002F\u002Forcid.org\u002F0009-0004-8167-3860",{"name":470,"orcid":471},"Lydia Sam","https:\u002F\u002Forcid.org\u002F0000-0003-3181-2960",{"name":473,"orcid":474},"Anshuman Bhardwaj","https:\u002F\u002Forcid.org\u002F0000-0002-2502-6384",{"name":476,"orcid":477},"Mohammad Waris Haider","https:\u002F\u002Forcid.org\u002F0000-0002-2871-5740",{"name":479,"orcid":480},"Safiullah Khurram","https:\u002F\u002Forcid.org\u002F0000-0002-3278-3463",{"name":482,"orcid":483},"John W. Groninger","https:\u002F\u002Forcid.org\u002F0000-0001-6705-1978",{"name":485,"orcid":486},"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":489,"method":490,"finding":491,"direction":87,"opportunity":492},"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"]