[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3846":3,"related-3846":106},{"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":30,"secondary_topics":36,"classification":37,"search_phrases":85,"slug":88,"view_count":74,"doi":89,"paper":90,"created_at":105},3846,"Integrating Earth Observation Data for Assessing the Impact of Mining Ponds on Land Use and Land Cover Change","https:\u002F\u002Fdoi.org\u002F10.56201\u002Fijgem.vol.11.no10.2025.pg136.153","This study examines the relationship between mining ponds and land use and land cover (LULC) dynamics, emphasizing both the environmental challenges and the socio-economic opportunities they present. Earth observation data from Landsat and questionnaire administration were used to evaluate the spatial and socio-environmental impacts of mining activities in Jos South Local Government Area (LGA). Supervised Maximum Likelihood Classification was applied to multitemporal satellite imagery to determine LULC changes, while nearest neighborhood analysis assessed the spatial distribution of mining ponds. A stratified random sampling method was used to collect responses from five districts Du, Zawan, Kuru, Vwang, and Gyel. Results revealed that mining ponds accounted for approximately 2.03% (10.20 km²) of the total land area in 1990, showing a slight decline to 2.00% (10.04 km²) by 2021. Despite their negative impacts, such as land degradation, erosion, and pollution, mining ponds also contribute positively to local livelihoods. An all-year-round supply of water by these ponds makes activities such as irrigation farming, fish farming, block making, recreation and livestock husbandry possible at all times. These benefits generate a wide range of opportunities, which attract investments from private companies, all channeled towards the socio-economic development of Jos-south. We recommended prioritizing the adoption of modern technologies such as GIS and remote sensing by the government for consistent supervision of the expansion of these mining ponds, towards sustainable environmental development of the Jos-South local government area.","本研究考察了矿坑与土地利用和土地覆盖（LULC）动态之间的关系，重点关注其带来的环境挑战与社会经济机遇。研究利用Landsat地球观测数据和问卷调查，评估了乔斯南部地方政府辖区（LGA）采矿活动的空间及社会环境的影响。研究对多时相卫星影像采用监督最大似然分类法以确定土地利用和土地覆盖变化，同时运用最近邻分析评估矿坑的空间分布。采用分层随机抽样方法，从Du、Zawan、Kuru、Vwang和Gyel五个区收集了调查问卷。结果显示，1990年矿坑约占土地总面积的2.03%（10.20 km²），到2021年略微下降至2.00%（10.04 km²）。尽管矿坑带来了土地退化、侵蚀和污染等负面影响，但也对当地生计作出了积极贡献。这些矿坑全年供水，使得灌溉农业、养鱼、制砖、休闲娱乐和畜牧等活动得以常年开展。这些效益产生了广泛的机遇，吸引了私营企业的投资，全部用于乔斯南部的社会经济发展。我们建议政府优先采用地理信息系统（GIS）和遥感等现代技术，对这些矿坑的扩张进行持续监管，以促进乔斯南部地方政府辖区的环境可持续发展。",null,"IIARD INTERNATIONAL JOURNAL OF GEOGRAPHY AND ENVIRONMENTAL MANAGEMENT","2026-09-28T00:00:00Z","论文",10,false,60,{"impact":17,"substance":18,"depth":19,"authority":13,"freshness":20,"relevant":21,"comment":22},8,18,15,9,1,"基于Landsat遥感与问卷评估尼日利亚矿区池塘对土地利用变化的影响，方法规范但属区域案例，对国内三农信息化参考价值有限。",[24],{"name":10,"url":6},[26,27,28,29],"农业遥感","遥感监测","土地利用","矿区生态",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},"I3","remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing","I",[],{"status":38,"locked":14,"version":39,"method":40,"evidence":41},"classified","2026-10-22.2","rules",{"candidates":42,"agricultural_evidence":44},[43,50,58,65,72,79],{"code":31,"score":17,"supported":44,"title":45,"abstract":46,"tags":49},true,[],[47,48],"遥感","remote sensing",[26,27],{"code":51,"score":52,"supported":44,"title":53,"abstract":54,"tags":57},"C",6,[],[55,56],"畜牧","livestock",[],{"code":59,"score":52,"supported":44,"title":60,"abstract":61,"tags":64},"H3",[],[62,63],"灌溉","irrigation",[],{"code":66,"score":52,"supported":44,"title":67,"abstract":68,"tags":71},"I4",[],[69,70],"地理信息","GIS",[],{"code":73,"score":74,"supported":44,"title":75,"abstract":76,"tags":78},"D",3,[],[77],"fish farming",[],{"code":80,"score":81,"supported":14,"title":82,"abstract":83,"tags":84},"H6",2,[],[],[28,29],[86,87],"Jos South 矿区 土地利用","Landsat 遥感 土地覆盖","JosSouth矿区土地利用-3846","10.56201\u002Fijgem.vol.11.no10.2025.pg136.153",{"doi":89,"openalex_id":91,"authors":92,"venue":10,"cited_by_count":96,"oa_url":97,"card":98,"direction":102,"ingested_from":104},"W7214571622",[93],{"name":94,"orcid":95},"Momoh Khalifa Adeiza","https:\u002F\u002Forcid.org\u002F0009-0000-8594-7372",0,"https:\u002F\u002Fiiardjournals.org\u002Fget\u002FIJGEM\u002FVOL. 11 NO. 10 2025\u002FIntegrating Earth Observation 136-153.pdf",{"tldr":99,"method":100,"finding":101,"direction":102,"opportunity":103},"用Landsat影像与问卷评估矿区池塘对土地利用变化及社会经济的影响。","Landsat多时相影像、最大似然分类、最近邻分析与分层随机抽样问卷。","矿塘面积占比由1990年2.03%微降至2021年2.00%，但带来退化与生计双重效应。","农业遥感与作物表型","可结合时序遥感与农户调查，量化矿塘对灌溉农业与生计的长期耦合影响。","openalex","2026-09-30T23:30:29.520262Z",{"total":52,"page":21,"page_size":52,"items":107},[108,182,245,317,386,431],{"id":109,"title":110,"url":111,"summary":112,"summary_zh":113,"content":9,"source_name":114,"source_url":115,"published_at":116,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":117,"score_detail":118,"sources":121,"tags":123,"primary_topic":126,"secondary_topics":127,"classification":132,"search_phrases":162,"slug":165,"view_count":166,"doi":167,"paper":168,"created_at":181},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","2026-09-20T00:00:00Z",62,{"impact":17,"substance":18,"depth":19,"authority":119,"freshness":17,"relevant":21,"comment":120},13,"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。",[122],{"name":114,"url":115},[26,27,28,124,125],"印度农业","植被覆盖",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[128],{"code":66,"slug":129,"name":130,"path":131,"parent_code":35},"gis","GIS与空间分析","\u002Ftopic\u002Fdigital-agriculture\u002Fgis",{"status":38,"locked":14,"version":39,"method":40,"evidence":133},{"candidates":134,"agricultural_evidence":44},[135,141,146,153,157],{"code":31,"score":136,"supported":44,"title":137,"abstract":138,"tags":140},12,[],[47,48,139],"multispectral",[26,125,27],{"code":66,"score":20,"supported":44,"title":142,"abstract":143,"tags":145},[],[69,70,144],"geographic information",[],{"code":147,"score":52,"supported":44,"title":148,"abstract":149,"tags":152},"H2",[],[150,151],"土壤","soil",[],{"code":80,"score":21,"supported":14,"title":154,"abstract":155,"tags":156},[],[],[28],{"code":158,"score":21,"supported":14,"title":159,"abstract":160,"tags":161},"J3",[],[],[124],[163,164],"Nagaon Assam LULC 遥感","LISS-IV 土地利用变化","NagaonAssamLULC遥感-3187",5,"10.31018\u002Fjans.v18i3.7774",{"doi":167,"openalex_id":169,"authors":170,"venue":114,"cited_by_count":96,"oa_url":115,"card":176,"direction":102,"ingested_from":104},"W7213942371",[171,173],{"name":172,"orcid":9},"J. C. Das",{"name":174,"orcid":175},"Prodyut Bhattacharya","https:\u002F\u002Forcid.org\u002F0000-0002-4294-5585",{"tldr":177,"method":178,"finding":179,"direction":102,"opportunity":180},"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":183,"title":184,"url":185,"summary":186,"summary_zh":187,"content":9,"source_name":188,"source_url":185,"published_at":189,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":190,"sources":192,"tags":194,"primary_topic":196,"secondary_topics":197,"classification":199,"search_phrases":220,"slug":223,"view_count":81,"doi":224,"paper":225,"created_at":244},2943,"SPATIO-TEMPORAL DYNAMICS OF LAND USE AND LAND COVER IN A GRANITE QUARRYING AREA IN MANÉAH, GUINEA: A REMOTE SENSING AND GIS-BASED ANALYSIS FROM 1980 TO 2024","https:\u002F\u002Fdoi.org\u002F10.30574\u002Fgscarr.2026.28.3.0222","Quarrying is a major driver of transformation in peri-urban areas, particularly in spaces experiencing both rapid urbanization and increasing pressure on natural resources. This study analyzes the spatio-temporal dynamics of land cover in the urban commune of Manéah, Guinea, between 1980, 2020, and 2024, in order to characterize the territorial changes associated with the development of extractive activities and urban expansion. The methodological approach relies on the use of multi-temporal satellite imagery, its processing in a GIS environment, supervised classification of the main land cover classes, diachronic analysis of changes, construction of a transition matrix, and evaluation of the quality of the classifications using the Kappa index. The results highlight a profound transformation of the landscape. Between 1980 and 2024, the proportion of built-up areas increased from 7.22% to 32.67%, a rise of 25.45 percentage points, while quarries and construction sites, absent in 1980, represented 2.05% of the territory in 2024, after reaching 7.50% in 2020. Conversely, cultivated land and fallow land increased overall by 18.58 percentage points. In contrast, natural formations experienced a sharp decline: shrub savannas decreased from 40.50% to 1.73%, bodies of water from 31.46% to 11.30%, and mangroves from 8.85% to 0.84%. The Kappa values of 0.76, 0.79, and 0.82 indicate a satisfactory agreement between the classifications. These changes reflect the increasing human impact on the territory, resulting from the combined effects of urbanization, agriculture, and extractive activities. The change matrix also confirms a structural recomposition of the territory, with built-up areas increasing from 963.406 ha to 4,357.55 ha, while shrub savannas decreased from 5,401.819 ha to only 230.389 ha over the entire study period. The study thus highlights the need to further integrate remote sensing data and GIS tools into land-use planning, environmental monitoring, and the spatial management of quarries in Manéah.","采石活动是城郊地区转型的主要驱动力，尤其是在同时经历快速城市化和自然资源压力加剧的区域。本研究分析了几内亚马内阿（Manéah）城市公社在1980年、2020年和2024年的土地覆盖时空动态，以刻画与采掘活动发展和城市扩张相关的领土变化。研究方法依赖于多时相卫星影像的使用、在GIS环境中的处理、主要土地覆盖类别的监督分类、变化的历史对比分析、转移矩阵的构建，以及利用Kappa指数评估分类质量。结果揭示了景观的深刻转变。1980年至2024年间，建成区比例从7.22%增至32.67%，上升了25.45个百分点；而采石场和建筑工地1980年尚不存在，2020年达到7.50%，2024年占领土的2.05%。相反，耕地和休耕地总体增加了18.58个百分点。相比之下，自然 formations 急剧减少：灌木草原从40.50%降至1.73%，水体从31.46%降至11.30%，红树林从8.85%降至0.84%。Kappa值分别为0.76、0.79和0.82，表明分类之间具有令人满意的一致性。这些变化反映了人类对领土日益加剧的影响，这是城市化、农业和采掘活动共同作用的结果。变化矩阵也证实了领土的结构性重组，建成区从963.406公顷增至4，357.55公顷，而灌木草原在整个研究期内从5，401.819公顷降至仅230.389公顷。因此，本研究强调了进一步将遥感数据和GIS工具纳入马内阿的土地利用规划、环境监测和采石场空间管理的必要性。","GSC Advanced Research and Reviews","2026-09-18T00:00:00Z",{"impact":17,"substance":18,"depth":19,"authority":13,"freshness":20,"relevant":21,"comment":191},"基于多时相遥感与GIS的矿区土地利用变化研究，方法规范、数据翔实，但地域性强、与国内农业信息化关联有限，可作为遥感应用案例参考。",[193],{"name":188,"url":185},[195,27,28,70,29],"城镇化",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[198],{"code":66,"slug":129,"name":130,"path":131,"parent_code":35},{"status":38,"locked":14,"version":39,"method":40,"evidence":200},{"candidates":201,"agricultural_evidence":44},[202,206,210,216],{"code":31,"score":19,"supported":44,"title":203,"abstract":204,"tags":205},[48],[47,48],[27],{"code":66,"score":136,"supported":44,"title":207,"abstract":208,"tags":209},[70],[70],[70],{"code":211,"score":74,"supported":44,"title":212,"abstract":213,"tags":215},"I7",[],[214],"研究方法",[],{"code":80,"score":81,"supported":14,"title":217,"abstract":218,"tags":219},[],[],[28,29],[221,222],"Manéah 几内亚 土地利用","遥感 GIS 采石场 土地覆盖","Manéah几内亚土地利用-2943","10.30574\u002Fgscarr.2026.28.3.0222",{"doi":224,"openalex_id":226,"authors":227,"venue":188,"cited_by_count":96,"oa_url":185,"card":239,"direction":102,"ingested_from":104},"W7213550535",[228,230,232,235,237],{"name":229,"orcid":9},"Sogbè KEITA",{"name":231,"orcid":9},"Mamady Minata CONDÉ",{"name":233,"orcid":234},"Ibrahima Thiam","https:\u002F\u002Forcid.org\u002F0000-0001-8553-1043",{"name":236,"orcid":9},"Lucien SOLIE",{"name":238,"orcid":9},"Alpha Issaga Pallé Diallo",{"tldr":240,"method":241,"finding":242,"direction":102,"opportunity":243},"基于遥感与GIS分析几内亚Manéah采石区1980-2024年土地利用与覆盖的时空变化。","多时相卫星影像、GIS监督分类、变化矩阵与Kappa精度评价。","建设用地由7.22%升至32.67%，灌丛草原由40.50%降至1.73%，采石场2024年占2.0","可延伸至采石与城市化对周边农地、红树林的耦合影响及生态修复监测研究。","2026-09-19T23:30:32.836654Z",{"id":246,"title":247,"url":248,"summary":249,"summary_zh":250,"content":9,"source_name":251,"source_url":248,"published_at":252,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":96,"score_detail":253,"sources":255,"tags":257,"primary_topic":260,"secondary_topics":261,"classification":262,"search_phrases":283,"slug":286,"view_count":96,"doi":287,"paper":288,"created_at":316},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":96,"substance":96,"depth":96,"authority":96,"freshness":96,"relevant":96,"comment":254},"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。",[256],{"name":251,"url":248},[27,28,258,259],"土壤侵蚀","乡村人口",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":14,"version":39,"method":40,"evidence":263},{"candidates":264,"agricultural_evidence":44},[265,270,274,279],{"code":31,"score":266,"supported":44,"title":267,"abstract":268,"tags":269},7,[],[47,48],[27],{"code":66,"score":74,"supported":44,"title":271,"abstract":272,"tags":273},[],[70],[],{"code":211,"score":74,"supported":44,"title":275,"abstract":276,"tags":278},[],[277],"methodological framework",[],{"code":80,"score":21,"supported":14,"title":280,"abstract":281,"tags":282},[],[],[28],[284,285],"Kolubara 河岸侵蚀","Obrenovac 土地利用","Kolubara河岸侵蚀-5390","10.59954\u002Fstnv.797",{"doi":287,"openalex_id":289,"authors":290,"venue":251,"cited_by_count":96,"oa_url":248,"card":310,"direction":102,"ingested_from":104},"W7222945959",[291,294,297,299,302,305,308],{"name":292,"orcid":293},"Slavoljub Dragićević","https:\u002F\u002Forcid.org\u002F0000-0002-1417-5405",{"name":295,"orcid":296},"Marko Langović","https:\u002F\u002Forcid.org\u002F0000-0002-4614-7265",{"name":298,"orcid":9},"Милан Радовић",{"name":300,"orcid":301},"Radislav Tošić","https:\u002F\u002Forcid.org\u002F0000-0002-3994-125X",{"name":303,"orcid":304},"Milica Langović","https:\u002F\u002Forcid.org\u002F0000-0002-6979-377X",{"name":306,"orcid":307},"Novica Lovrić","https:\u002F\u002Forcid.org\u002F0009-0006-0838-4370",{"name":309,"orcid":9},"Manojlović Stefan",{"tldr":311,"method":312,"finding":313,"direction":314,"opportunity":315},"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":318,"title":319,"url":320,"summary":321,"summary_zh":322,"content":9,"source_name":323,"source_url":320,"published_at":324,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":325,"score_detail":326,"sources":329,"tags":331,"primary_topic":334,"secondary_topics":335,"classification":336,"search_phrases":347,"slug":350,"view_count":21,"doi":351,"paper":352,"created_at":385},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":17,"substance":18,"depth":327,"authority":119,"freshness":20,"relevant":21,"comment":328},16,"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。",[330],{"name":323,"url":320},[27,28,332,333],"农林复合","阿富汗农业",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":14,"version":39,"method":40,"evidence":337},{"candidates":338,"agricultural_evidence":44},[339,343],{"code":31,"score":266,"supported":44,"title":340,"abstract":341,"tags":342},[],[47,48],[27],{"code":80,"score":21,"supported":14,"title":344,"abstract":345,"tags":346},[],[],[28],[348,349],"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":351,"openalex_id":353,"authors":354,"venue":323,"cited_by_count":96,"oa_url":379,"card":380,"direction":102,"ingested_from":104},"W7222759855",[355,358,361,364,367,370,373,376],{"name":356,"orcid":357},"Farzaneh Razmju","https:\u002F\u002Forcid.org\u002F0009-0008-2445-7714",{"name":359,"orcid":360},"Baoling Gui","https:\u002F\u002Forcid.org\u002F0009-0004-8167-3860",{"name":362,"orcid":363},"Lydia Sam","https:\u002F\u002Forcid.org\u002F0000-0003-3181-2960",{"name":365,"orcid":366},"Anshuman Bhardwaj","https:\u002F\u002Forcid.org\u002F0000-0002-2502-6384",{"name":368,"orcid":369},"Mohammad Waris Haider","https:\u002F\u002Forcid.org\u002F0000-0002-2871-5740",{"name":371,"orcid":372},"Safiullah Khurram","https:\u002F\u002Forcid.org\u002F0000-0002-3278-3463",{"name":374,"orcid":375},"John W. Groninger","https:\u002F\u002Forcid.org\u002F0000-0001-6705-1978",{"name":377,"orcid":378},"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":381,"method":382,"finding":383,"direction":102,"opportunity":384},"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":387,"title":388,"url":389,"summary":390,"summary_zh":391,"content":9,"source_name":392,"source_url":389,"published_at":393,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":96,"score_detail":394,"sources":396,"tags":398,"primary_topic":400,"secondary_topics":401,"classification":402,"search_phrases":413,"slug":416,"view_count":96,"doi":417,"paper":418,"created_at":430},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":96,"substance":96,"depth":96,"authority":96,"freshness":96,"relevant":96,"comment":395},"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。",[397],{"name":392,"url":389},[27,28,399],"城市扩张",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":14,"version":39,"method":40,"evidence":403},{"candidates":404,"agricultural_evidence":44},[405,409],{"code":31,"score":266,"supported":44,"title":406,"abstract":407,"tags":408},[],[47,48],[27],{"code":80,"score":21,"supported":14,"title":410,"abstract":411,"tags":412},[],[],[28],[414,415],"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":417,"openalex_id":419,"authors":420,"venue":392,"cited_by_count":96,"oa_url":424,"card":425,"direction":102,"ingested_from":104},"W7221786958",[421],{"name":422,"orcid":423},"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":426,"method":427,"finding":428,"direction":102,"opportunity":429},"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":432,"title":433,"url":434,"summary":435,"summary_zh":436,"content":9,"source_name":437,"source_url":434,"published_at":438,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":96,"score_detail":439,"sources":441,"tags":443,"primary_topic":444,"secondary_topics":445,"classification":446,"search_phrases":461,"slug":464,"view_count":21,"doi":465,"paper":466,"created_at":478},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":96,"substance":96,"depth":96,"authority":96,"freshness":96,"relevant":96,"comment":440},"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。",[442],{"name":437,"url":434},[27,28,399],{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":14,"version":39,"method":40,"evidence":447},{"candidates":448,"agricultural_evidence":44},[449,453,457],{"code":31,"score":266,"supported":44,"title":450,"abstract":451,"tags":452},[],[47,48],[27],{"code":66,"score":52,"supported":44,"title":454,"abstract":455,"tags":456},[],[69,70],[],{"code":80,"score":21,"supported":14,"title":458,"abstract":459,"tags":460},[],[],[28],[462,463],"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":465,"openalex_id":467,"authors":468,"venue":437,"cited_by_count":96,"oa_url":434,"card":473,"direction":102,"ingested_from":104},"W7221355035",[469,471],{"name":470,"orcid":9},"Kambai Ch. Marak",{"name":472,"orcid":9},"Bring Blessing L Ryntathiang",{"tldr":474,"method":475,"finding":476,"direction":102,"opportunity":477},"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"]