[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2061":3,"related-2061":90},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":6,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":18,"tags":20,"primary_topic":24,"secondary_topics":30,"classification":31,"search_phrases":58,"slug":61,"view_count":62,"doi":63,"paper":64,"created_at":89},2061,"An Integrated Assessment of Anthropogenic and Ecological Threats to Pangolin Survival in Takamanda National Park, Southwest Region of Cameroon","https:\u002F\u002Fdoi.org\u002F10.54536\u002Fjwc.v2i1.8266","Pangolins are the world’s most trafficked wild mammals, yet cryptic behaviours hinder the localised, empirical data necessary for effective conservation management. This study provides an integrated assessment of ecological and anthropogenic threats facing three pangolin species (Phataginus tricuspis, P. tetradactyla, and Smutsia gigantea) within Takamanda National Park, Cameroon. Utilizing a mixed-methods approach, we triangulated decades of remote sensing data with local ecological knowledge (LEK) and focus group datasets. Land use\u002Fland cover analysis revealed severe habitat fragmentation, with critical dense forest cover declining by 10.34% (6890.83\u002Fha) between 2013 and 2023, driven primarily by inward agricultural encroachment from enclave villages. Logistic regression models confirmed intense pangolin avoidance behaviour toward human activity, revealing powerful deterrent relationships with bush huts (OR = 0.049, p = 0.003) and wire snares (OR = 0.441, p = 0.001). Socio-economic profiles identified pervasive local consumption 80% of respondents have consumed pangolin meat and acute poverty (88.7%) fuelling a highly commercialized bushmeat trade, alongside an active, transnational scale trafficking pipeline driven by foreign traders (5.3%). This immediate hunting pressure is severely compounded by governance deficits arising from the nearly a decade long regional Anglophone Crisis, zero baseline cultural taboos protecting the species, and critical biological misconceptions regarding reproductive rates in high-encroachment zones. Eventually, 28.6% of communities attribute perceived declines in poaching strictly to species scarcity. Reversing this trend requires an immediate transition from reactive enforcement to multi-faceted, community-led management that pairs customary legal integration with sustainable cocoa-livelihood interventions.","穿山甲是全球被贩运最多的野生哺乳动物，但其隐秘的行为习性阻碍了有效保护管理所需的本地化实证数据的获取。本研究对喀麦隆塔卡曼达国家公园内三种穿山甲（Phataginus tricuspis、P. tetradactyla和Smutsia gigantea）所面临的生态与人为威胁进行了综合评估。采用混合方法，我们将数十年遥感数据与当地生态知识（LEK）及焦点小组数据集进行了三角互证。土地利用\u002F土地覆盖分析揭示了严重的栖息地破碎化，2013年至2023年间关键密林覆盖面积减少了10.34%（6890.83公顷），主要驱动因素为飞地村庄的农业内侵。逻辑回归模型证实穿山甲对人类活动具有强烈的回避行为，与丛林窝棚（OR = 0.049，p = 0.003）和铁丝套索（OR = 0.441，p = 0.001）之间存在显著的威慑关系。社会经济概况调查发现，当地普遍存在穿山甲肉消费现象——80%的受访者曾食用穿山甲肉——以及极端贫困（88.7%）推动了高度商业化的丛林肉贸易，同时存在由外国贸易商（5.3%）驱动的活跃的跨国规模贩运链条。这一直接的狩猎压力因治理缺陷而严重加剧，这些缺陷源于近十年之久的地区英语危机、保护该物种的基线文化禁忌为零，以及高侵占区域内关于繁殖率的严重生物学误解。最终，28.6%的社区将偷猎减少严格归因于物种稀缺。扭转这一趋势需要立即从被动执法转向多方面的、社区主导的管理模式，将习惯法整合与可持续可可生计干预相结合。",null,"Journal of Wildlife and Conservation","2026-09-09T00:00:00Z","论文",10,false,0,{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":17},"喀麦隆穿山甲保护研究，属野生动物保护与生态遥感领域，与三农、农业信息化、智慧农业主题无直接关联，不建议进入每日精选。",[19],{"name":10,"url":6},[21,22,23],"生物多样性","遥感监测","野生动物保护",{"code":25,"slug":26,"name":27,"path":28,"parent_code":29},"I3","remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing","I",[],{"status":32,"locked":14,"version":33,"method":34,"evidence":35},"classified","2026-10-22.2","rules",{"candidates":36,"agricultural_evidence":39},[37,45,52],{"code":25,"score":38,"supported":39,"title":40,"abstract":41,"tags":44},7,true,[],[42,43],"遥感","remote sensing",[22],{"code":46,"score":47,"supported":39,"title":48,"abstract":49,"tags":51},"B3",3,[],[50],"可可",[],{"code":53,"score":54,"supported":14,"title":55,"abstract":56,"tags":57},"H6",2,[],[],[21,23],[59,60],"野生动物保护 生物多样性 遥感监测","野生动物保护 生物多样性","野生动物保护生物多样性遥感监测-2061",1,"10.54536\u002Fjwc.v2i1.8266",{"doi":63,"openalex_id":65,"authors":66,"venue":10,"cited_by_count":15,"oa_url":6,"card":82,"direction":86,"ingested_from":88},"W7212081578",[67,69,72,74,76,79],{"name":68,"orcid":9},"Kirensky Jerry Mbi",{"name":70,"orcid":71},"Melle Maurice","https:\u002F\u002Forcid.org\u002F0000-0002-3700-2400",{"name":73,"orcid":9},"Longonje Simon Ngomba",{"name":75,"orcid":9},"Athanasius Fuashi Nkwatoh",{"name":77,"orcid":78},"Guilen-Noel Nghokapin Tataw","https:\u002F\u002Forcid.org\u002F0009-0008-2878-5328",{"name":80,"orcid":81},"Mukete Beckline","https:\u002F\u002Forcid.org\u002F0000-0002-8344-4015",{"tldr":83,"method":84,"finding":85,"direction":86,"opportunity":87},"综合遥感、地方知识与焦点小组，评估喀麦隆Takamanda国家公园三种穿山甲面临的生态与人为威胁。","混合方法：数十年遥感土地利用数据、地方生态知识（LEK）与焦点小组、逻辑回归模型","2013-2023年密林减少10.34%，人类活动（窝棚、铁丝套）显著驱避穿山甲，贫困与消费需求驱动","农业遥感与作物表型","可延伸研究：将遥感栖息地破碎化与社区生计干预结合，构建穿山甲保护的空间决策支持系统。","openalex","2026-09-10T23:30:27.991141Z",{"total":91,"page":62,"page_size":91,"items":92},6,[93,180,251,325,408,471],{"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":101,"is_selected":14,"score":102,"score_detail":103,"sources":109,"tags":116,"primary_topic":120,"secondary_topics":121,"classification":122,"search_phrases":140,"slug":143,"view_count":54,"doi":144,"paper":145,"created_at":179},3552,"Evaluating the feeding habitat of the Asian elephant (Elephas maximus) using integrated field surveys and remote sensing","https:\u002F\u002Fdoi.org\u002F10.6084\u002Fm9.figshare.33995903","Conservation of Asian elephants in human-modified landscapes requires information on diet, forage availability, landscape change, and movement barriers. In Chunati Wildlife Sanctuary (CWS), Bangladesh, we reanalysed records from 187 dung piles and 791 vegetation plots, multi-temporal Landsat classifications, an exploratory railway-crossing inventory, and CCTV detections at a wildlife overpass. The dung-pile-by-taxon matrix contained 888 detections of 142 plant taxa from 49 families. Dung composition varied among sampled months (permutational multivariate analysis of variance [PERMANOVA], pseudo-F8,178 = 5.24, R2 = 0.191, p = .001) and forest beats (pseudo-F6,180 = 2.64, R2 = 0.081, p = .001), although dispersion differences require cautious interpretation. The 14 focal vegetation taxa also varied among months and beats, but effect sizes were small. Their relative abundance differed from dung-detection rankings, consistent with non-proportional resource use rather than a formal preference test. Across the 8,461.1-ha analytical landscape, mapped forest declined by 376.6 ha from 2000 to 2022. Agricultural producer’s accuracy was 45.3%, so agriculture-fallow change remains uncertain. Sixteen potential railway-crossing locations were catalogued, and 50 CCTV detections confirmed overpass use, without estimating crossing probability or mitigation effectiveness. These findings support standardized monitoring of forage composition, forest change, and railway hotspots.","在人类改造景观中保护亚洲象需要掌握食性、饲草可获得性、景观变化及移动障碍等信息。在孟加拉国春纳提野生动物保护区（Chunati Wildlife Sanctuary, CWS），我们重新分析了187处粪便堆和791个植被样方的记录、多时相Landsat分类、铁路穿越点探索性清单以及野生动物天桥上闭路电视（CCTV）的检测数据。粪便堆-分类单元矩阵包含来自49科142个植物分类单元的888次检测。粪便组成在采样月份间存在差异（置换多元方差分析[PERMANOVA]，伪F8,178 = 5.24，R2 = 0.191，p = .001），在森林分区间也存在差异（伪F6,180 = 2.64，R2 = 0.081，p = .001），但离散度差异要求谨慎解读。14个重点植被分类单元同样在月份和分区之间存在差异，但效应量较小。其相对丰度与粪便检测排序不同，这与非比例性资源利用一致，而非正式的偏好检验。在8,461.1公顷的分析景观中，2000年至2022年间制图森林面积减少了376.6公顷。农业用地生产者精度为45.3%，因此农业-休耕地的变化仍不确定。共编目了16个潜在铁路穿越点，50次CCTV检测确认了天桥的使用，但未估算穿越概率或缓解措施有效性。这些发现支持对饲草组成、森林变化和铁路热点进行标准化监测。","Figshare","2026-09-25T00:00:00Z",40,60,{"impact":104,"substance":105,"depth":106,"authority":91,"freshness":107,"relevant":62,"comment":108},8,20,17,9,"论文以遥感与野外调查结合评估亚洲象觅食栖息地，方法扎实但属国际保护生态研究，与国内三农信息化关联较弱，公共价值有限。",[110,111,114],{"name":99,"url":96},{"name":112,"url":113},"Biodiversity","https:\u002F\u002Fdoi.org\u002F10.1080\u002F14888386.2026.2720916",{"name":99,"url":115},"https:\u002F\u002Fdoi.org\u002F10.6084\u002Fm9.figshare.33995903.v1",[22,23,117,118,119],"土地利用变化","亚洲象","栖息地评估",{"code":25,"slug":26,"name":27,"path":28,"parent_code":29},[],{"status":32,"locked":14,"version":33,"method":34,"evidence":123},{"candidates":124,"agricultural_evidence":39},[125,129,136],{"code":25,"score":107,"supported":39,"title":126,"abstract":127,"tags":128},[43],[],[22],{"code":130,"score":91,"supported":39,"title":131,"abstract":132,"tags":135},"C4",[],[133,134],"饲草","forage",[],{"code":53,"score":54,"supported":14,"title":137,"abstract":138,"tags":139},[],[],[117,23],[141,142],"Chunati Wildlife Sanctuary 亚洲象","Landsat 遥感 栖息地 亚洲象","ChunatiWildlifeSanctuary亚洲象-3552","10.6084\u002Fm9.figshare.33995903",{"doi":144,"openalex_id":146,"authors":147,"venue":99,"cited_by_count":15,"oa_url":96,"card":174,"direction":86,"ingested_from":88},"W7214307711",[148,150,153,156,158,160,162,164,166,168,170,172],{"name":149,"orcid":9},"A. H. M. Raihan Sarker",{"name":151,"orcid":152},"Eivin Røskaft","https:\u002F\u002Forcid.org\u002F0000-0003-0262-8443",{"name":154,"orcid":155},"Umme Humayra","https:\u002F\u002Forcid.org\u002F0009-0005-2446-3506",{"name":157,"orcid":9},"Mohammad Shawkat Hossain",{"name":159,"orcid":9},"Sayeed Mehmood",{"name":161,"orcid":9},"Biswajit Nath",{"name":163,"orcid":9},"Paul Kvinta",{"name":165,"orcid":9},"Mohammad Abdul Motaleb",{"name":167,"orcid":9},"A. N. M. Yasin Newaz",{"name":169,"orcid":9},"Md. Aktar Hossain",{"name":171,"orcid":9},"Mohammad Morshedul Hoque",{"name":173,"orcid":9},"Nishi Chakma",{"tldr":175,"method":176,"finding":177,"direction":86,"opportunity":178},"结合粪便、植被样方、遥感和红外相机评估孟加拉亚洲象取食栖息地变化。","187份粪便、791个植被样方、Landsat时序分类与CCTV监测。","象食性随月份和林班变化，森林22年减少376.6公顷，铁路交叉点16处。","可结合高精度遥感与象食性数据，量化农业-林地变化对取食栖息地的影响。","2026-09-26T23:30:29.633263Z",{"id":181,"title":182,"url":183,"summary":184,"summary_zh":185,"content":9,"source_name":186,"source_url":183,"published_at":187,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":188,"score_detail":189,"sources":194,"tags":196,"primary_topic":200,"secondary_topics":201,"classification":202,"search_phrases":225,"slug":228,"view_count":47,"doi":229,"paper":230,"created_at":250},2063,"Higher vegetation diversity and stronger forest structure occur in managed zones despite widespread land cover degradation in Ise Forest Reserve Nigeria","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs44415-026-00129-1","The forest ecosystem of Ise Forest Reserve in Nigeria is threatened by land-use conversion and timber exploitation. However, part of the enclave was managed under the Southwest\u002FNiger Delta Forest Project, described as the “managed zone”. This study investigated spatial differences in vegetation condition and temporal patterns of land-cover degradation by integrating systematic field sampling, remote sensing and geographic information technologies. Eleven 25 × 25 m plots were laid along 200 m transects during a field sampling exercise carried out in disturbed and managed zones and were used to test differences in species diversity and structural attributes. In total, 27 species (17 families) were recorded, with Ricinodendron heudelotii achieving the highest frequency ( n = 55) and Diospyros lotus exhibiting the most significant mean height (12.20 ± 0.00 m), canopy cover (18.60 ± 0.00 m), and diameter at breast height, DBH (138.13 ± 0.00 cm). Significant differences ( p \u003C 0.001) in height, DBH, and canopy cover were observed between the disturbed and managed zones. Vegetation diversity was higher in the managed zone than in the disturbed zone. The values of the Shannon–Wiener, Simpson concentration, and Margalef richness indices were higher in the managed zone than in the disturbed zone. The lower rates of farmland expansion and secondary forest loss in the managed zone indicated spatial differences in the severity of land degradation. Since data on the area’s pre-intervention stage for direct comparison were not available, the differences between the managed and disturbed zones could not be attributed solely to the 2021 conservation project and remain subject to review in a long-term evaluation.","尼日利亚伊势森林保护区的森林生态系统正受到土地利用转换和木材采伐的威胁。然而，该飞地的一部分在“西南\u002F尼日尔三角洲森林项目”下得到管理，被称为“管理区”。本研究通过整合系统野外采样、遥感与地理信息技术，探讨了植被状况的空间差异以及土地覆盖退化的时间格局。在受干扰区和管理区开展的野外采样中，沿200 m样带设置了11个25 × 25 m样方，用于检验物种多样性和结构属性的差异。共记录27个物种（17科），其中非洲樱桃（Ricinodendron heudelotii）出现频率最高（n = 55），而君迁子（Diospyros lotus）的平均高度（12.20 ± 0.00 m）、冠层盖度（18.60 ± 0.00 m）和胸径（DBH，138.13 ± 0.00 cm）最大。受干扰区与管理区在高度、胸径和冠层盖度方面存在显著差异（p \u003C 0.001）。管理区的植被多样性高于受干扰区。Shannon–Wiener指数、Simpson集中度指数和Margalef丰富度指数在管理区均高于受干扰区。管理区农田扩张和次生林丧失速率较低，表明土地退化严重程度存在空间差异。由于缺乏该地区干预前阶段的数据以进行直接比较，管理区与受干扰区之间的差异不能完全归因于2021年的保护项目，仍有待长期评估加以审视。","Discover Forests","2026-09-08T00:00:00Z",61,{"impact":104,"substance":190,"depth":191,"authority":192,"freshness":104,"relevant":62,"comment":193},18,15,12,"尼日利亚保护区管理成效的实证研究，方法扎实但地域性强、与国内三农信息化关联有限，可作为遥感生态监测案例参考。",[195],{"name":186,"url":183},[197,21,198,22,199],"生态修复","土地退化","森林保护",{"code":25,"slug":26,"name":27,"path":28,"parent_code":29},[],{"status":32,"locked":14,"version":33,"method":34,"evidence":203},{"candidates":204,"agricultural_evidence":39},[205,209,216,220],{"code":25,"score":38,"supported":39,"title":206,"abstract":207,"tags":208},[],[42,43],[22],{"code":210,"score":91,"supported":39,"title":211,"abstract":212,"tags":215},"I4",[],[213,214],"地理信息","geographic information",[],{"code":53,"score":54,"supported":14,"title":217,"abstract":218,"tags":219},[],[],[197,21],{"code":221,"score":62,"supported":14,"title":222,"abstract":223,"tags":224},"H1",[],[],[198],[226,227],"生物多样性 土地退化 森林保护 生态修复","生物多样性 土地退化","生物多样性土地退化森林保护生态修复-2063","10.1007\u002Fs44415-026-00129-1",{"doi":229,"openalex_id":231,"authors":232,"venue":186,"cited_by_count":15,"oa_url":244,"card":245,"direction":86,"ingested_from":88},"W7211968416",[233,236,238,240,242],{"name":234,"orcid":235},"Oluwatobi Emmanuel Olaniyi","https:\u002F\u002Forcid.org\u002F0000-0002-1421-9068",{"name":237,"orcid":9},"Elijah Ogunsakin",{"name":239,"orcid":9},"Babafemi Ogunjemite",{"name":241,"orcid":9},"Kawiyu Rafiu",{"name":243,"orcid":9},"Ebere Anozie","https:\u002F\u002Flink.springer.com\u002Fcontent\u002Fpdf\u002F10.1007\u002Fs44415-026-00129-1.pdf",{"tldr":246,"method":247,"finding":248,"direction":86,"opportunity":249},"研究尼日利亚Ise森林保护区管理区与干扰区的植被多样性和结构差异及土地覆盖退化。","野外样方调查、遥感与GIS结合，比较管理区和干扰区植被指标。","管理区植被多样性和森林结构显著优于干扰区，农田扩张和次生林损失更低。","可开展长期监测评估保护项目效果，结合多时相遥感量化管理措施对植被恢复的因果影响。","2026-09-10T23:30:30.245193Z",{"id":252,"title":253,"url":254,"summary":255,"summary_zh":256,"content":9,"source_name":257,"source_url":254,"published_at":258,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":259,"sources":261,"tags":263,"primary_topic":267,"secondary_topics":268,"classification":269,"search_phrases":291,"slug":294,"view_count":15,"doi":295,"paper":296,"created_at":324},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":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":260},"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。",[262],{"name":257,"url":254},[22,264,265,266],"土地利用","土壤侵蚀","乡村人口",{"code":25,"slug":26,"name":27,"path":28,"parent_code":29},[],{"status":32,"locked":14,"version":33,"method":34,"evidence":270},{"candidates":271,"agricultural_evidence":39},[272,276,281,287],{"code":25,"score":38,"supported":39,"title":273,"abstract":274,"tags":275},[],[42,43],[22],{"code":210,"score":47,"supported":39,"title":277,"abstract":278,"tags":280},[],[279],"GIS",[],{"code":282,"score":47,"supported":39,"title":283,"abstract":284,"tags":286},"I7",[],[285],"methodological framework",[],{"code":53,"score":62,"supported":14,"title":288,"abstract":289,"tags":290},[],[],[264],[292,293],"Kolubara 河岸侵蚀","Obrenovac 土地利用","Kolubara河岸侵蚀-5390","10.59954\u002Fstnv.797",{"doi":295,"openalex_id":297,"authors":298,"venue":257,"cited_by_count":15,"oa_url":254,"card":318,"direction":86,"ingested_from":88},"W7222945959",[299,302,305,307,310,313,316],{"name":300,"orcid":301},"Slavoljub Dragićević","https:\u002F\u002Forcid.org\u002F0000-0002-1417-5405",{"name":303,"orcid":304},"Marko Langović","https:\u002F\u002Forcid.org\u002F0000-0002-4614-7265",{"name":306,"orcid":9},"Милан Радовић",{"name":308,"orcid":309},"Radislav Tošić","https:\u002F\u002Forcid.org\u002F0000-0002-3994-125X",{"name":311,"orcid":312},"Milica Langović","https:\u002F\u002Forcid.org\u002F0000-0002-6979-377X",{"name":314,"orcid":315},"Novica Lovrić","https:\u002F\u002Forcid.org\u002F0009-0006-0838-4370",{"name":317,"orcid":9},"Manojlović Stefan",{"tldr":319,"method":320,"finding":321,"direction":322,"opportunity":323},"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":326,"title":327,"url":328,"summary":329,"summary_zh":330,"content":9,"source_name":331,"source_url":328,"published_at":332,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":333,"score_detail":334,"sources":339,"tags":341,"primary_topic":346,"secondary_topics":352,"classification":354,"search_phrases":379,"slug":382,"view_count":15,"doi":383,"paper":384,"created_at":407},5367,"Integration of multi-source UAV remote sensing features and derived features for winter wheat aboveground biomass estimation","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.atech.2026.102656","Accurate estimation of winter wheat ( Triticum aestivum L.) aboveground biomass (AGB) is important for crop growth monitoring and field management. However, unmanned aerial vehicle (UAV)-based AGB estimation remains challenging due to variations in canopy conditions across growth stages, and different remote sensing features can capture complementary characteristics related to AGB estimation. This study integrated multi-source UAV-derived features, including vegetation indices (VIs), texture features (TFs), light detection and ranging (LiDAR)-derived features, and derived features (DFs) generated from the original feature sets, with four machine learning algorithms for winter wheat AGB estimation. Results showed that TFs provided better prediction performance than other single-source feature sets. Compared with single-source feature sets, the integration of VIs, TFs, LiDAR-derived features, and DFs further improved AGB estimation, and the random forest (RF) model achieved the best performance among the evaluated models (R² = 0.923, RMSE = 1.731 Mg ha⁻¹). Incremental R² analysis based on a stage-only baseline model showed that the RF model explained additional variation in AGB beyond growth-stage information, with an incremental R² of 0.479. Stage-specific evaluation indicated that model performance varied among growth stages, with the highest accuracy observed at the booting stage (R² = 0.632, RMSE = 1.425 Mg ha⁻¹). Feature contribution analysis based on the full-feature fusion model using all growth-stage data identified canopy coverage and several DFs as important predictors, while stage-specific analyses showed differences in dominant predictors across growth stages. The integration of multi-source UAV-derived features and DFs with machine learning provides an effective approach for winter wheat AGB estimation, while model performance remains strongly dependent on growth stage.","准确估算冬小麦（Triticum aestivum L.）地上生物量（aboveground biomass, AGB）对作物生长监测和田间管理具有重要意义。然而，由于不同生育期冠层条件存在差异，且不同遥感特征能够捕捉与AGB估算相关的互补信息，基于无人机（unmanned aerial vehicle, UAV）的AGB估算仍面临挑战。本研究将多源无人机衍生特征，包括植被指数（vegetation indices, VIs）、纹理特征（texture features, TFs）、激光雷达（light detection and ranging, LiDAR）衍生特征以及由原始特征集生成的衍生特征（derived features, DFs），与四种机器学习算法相结合，用于冬小麦AGB估算。结果表明，TFs的预测性能优于其他单一来源特征集。与单一来源特征集相比，融合VIs、TFs、LiDAR衍生特征和DFs进一步提高了AGB估算精度，其中随机森林（random forest, RF）模型在所评估的模型中表现最佳（R² = 0.923，RMSE = 1.731 Mg ha⁻¹）。基于仅含生育期信息的基线模型进行的增量R²分析表明，RF模型在生育期信息之外解释了AGB的额外变异，增量R²为0.479。分生育期评估表明，模型性能在不同生育期之间存在差异，其中在孕穗期观察到最高精度（R² = 0.632，RMSE = 1.425 Mg ha⁻¹）。基于使用全部生育期数据的全特征融合模型进行的特征贡献分析识别出冠层覆盖度和若干DFs为重要预测因子，而分生育期分析则表明不同生育期的主导预测因子存在差异。将多源无人机衍生特征和DFs与机器学习相结合，为冬小麦AGB估算提供了一种有效方法，但模型性能仍强烈依赖于生育期。","Smart Agricultural Technology","2026-10-17T00:00:00Z",77,{"impact":335,"substance":336,"depth":190,"authority":337,"freshness":104,"relevant":62,"comment":338},16,22,13,"该研究融合无人机多源遥感特征与衍生特征，用随机森林估算冬小麦地上生物量，方法新颖、结论可靠，对作物长势监测有参考价值。",[340],{"name":331,"url":328},[342,343,22,344,345],"智慧农业","无人机","冬小麦","生物量估算",{"code":347,"slug":348,"name":349,"path":350,"parent_code":351},"A2","wheat","小麦","\u002Ftopic\u002Ffield-crops\u002Fwheat","A",[353],{"code":25,"slug":26,"name":27,"path":28,"parent_code":29},{"status":32,"locked":14,"version":33,"method":34,"evidence":355},{"candidates":356,"agricultural_evidence":39},[357,363,367,374],{"code":347,"score":358,"supported":39,"title":359,"abstract":361,"tags":362},26,[360,348],"winter wheat",[349,360,348],[344],{"code":25,"score":335,"supported":39,"title":364,"abstract":365,"tags":366},[43],[42,43],[345,22],{"code":368,"score":91,"supported":39,"title":369,"abstract":370,"tags":373},"I2",[],[371,372],"机器学习","machine learning",[],{"code":375,"score":62,"supported":14,"title":376,"abstract":377,"tags":378},"I1",[],[],[342],[380,381],"无人机 多源遥感 冬小麦 生物量","冬小麦 地上生物量 随机森林","无人机多源遥感冬小麦生物量-5367","10.1016\u002Fj.atech.2026.102656",{"doi":383,"openalex_id":385,"authors":386,"venue":331,"cited_by_count":15,"oa_url":328,"card":402,"direction":86,"ingested_from":88},"W7222806066",[387,389,391,393,396,398,400],{"name":388,"orcid":9},"Guangtao Wang",{"name":390,"orcid":9},"Sumei Yao",{"name":392,"orcid":9},"Yanzheng Xie",{"name":394,"orcid":395},"Anzhen Qin","https:\u002F\u002Forcid.org\u002F0000-0002-2550-0015",{"name":397,"orcid":9},"Xiangdong Chen",{"name":399,"orcid":9},"Yuhao Zhang",{"name":401,"orcid":9},"Lina Jiang",{"tldr":403,"method":404,"finding":405,"direction":86,"opportunity":406},"融合无人机多源遥感特征与衍生特征，用机器学习估算冬小麦地上生物量。","无人机植被指数、纹理、LiDAR特征及衍生特征结合四种机器学习算法建模。","多源特征融合优于单一特征，随机森林最优（R²=0.923），精度随生育期变化。","可探索生育期自适应建模与特征选择，提升跨期生物量估算的稳健性与可迁移性。","2026-10-20T23:30:03.106267Z",{"id":409,"title":410,"url":411,"summary":412,"summary_zh":413,"content":9,"source_name":414,"source_url":411,"published_at":332,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":415,"sources":417,"tags":419,"primary_topic":423,"secondary_topics":424,"classification":435,"search_phrases":453,"slug":456,"view_count":15,"doi":457,"paper":458,"created_at":470},5326,"Flood Hazard and Vulnerability Assessment of Chitrakoot District, Uttar Pradesh: An Integrated Geographical, GIS and Remote Sensing Approach","https:\u002F\u002Fdoi.org\u002F10.36948\u002Fijfmr.2026.v08i05.89708","Flood is one of the most important hydro-meteorological hazards affecting human settlements, agriculture, infrastructure and regional economies. Chitrakoot district of Uttar Pradesh presents a distinctive case of hydro-climatic vulnerability because it belongs to the drought-prone Bundelkhand region but simultaneously experiences recurrent riverine and flash-flood conditions during intense monsoon rainfall. The present study assesses the spatial characteristics and determinants of flood hazard and vulnerability in Chitrakoot district using an integrated geographical, GIS and remote sensing approach. The analysis incorporates the Digital Elevation Model (DEM), drainage network, physiography, river proximity, historical flood information, satellite-based flood observations and socio-economic exposure. The district's DEM indicates a marked elevation gradient, approximately from 66 m to 451 m, with relatively higher terrain in the southern part and lower terrain towards the northern Yamuna valley. This topographic configuration facilitates rapid surface runoff from elevated southern terrain towards comparatively low-lying riverine areas. The drainage system is dominated by the Yamuna and Mandakini\u002FPaisuni systems along with Baghain, Gunta, Bardaha and smaller tributaries. The Uttar Pradesh Flood Hazard Atlas identifies 5,114 ha of flood-hazard area in Chitrakoot for 1998–2020, of which 4,129 ha (81%) falls in the very-low hazard category and 985 ha (19%) in the low-hazard category. However, the historical classification does not fully represent the potential consequences of extreme rainfall events. The August 2026 flood provides compelling evidence: the Mandakini at Chitrakoot reached a reported new high flood level of 145.60 m on 29 August 2026, approximately 2.95 m above the previous reported high level, while the water level rose by about 7.5 m within six hours. The study concludes that flood risk in Chitrakoot is spatially concentrated around river corridors, low-elevation areas, floodplains, agricultural land, settlements and tourism infrastructure. A shift from conventional relief-oriented flood management towards integrated floodplain regulation, watershed management, GIS-based risk zonation, real-time monitoring and community-based preparedness is therefore essential.","洪水是影响人类住区、农业、基础设施和区域经济的最重要的水文气象灾害之一。北方邦吉德古德（Chitrakoot）县在水文气候脆弱性方面呈现出独特案例，因为它属于易受干旱影响的本德尔坎德（Bundelkhand）地区，但同时在强季风降雨期间反复遭遇河流洪水和山洪状况。本研究采用地理学、地理信息系统（GIS）和遥感相结合的综合方法，评估吉德古德县洪水灾害与脆弱性的空间特征及其决定因素。分析纳入了数字高程模型（DEM）、河网、地貌、距河流远近、历史洪水信息、基于卫星的洪水观测以及社会经济暴露度。该县的DEM显示出明显的高程梯度，大约从66米到451米，南部地形相对较高，向北部的亚穆纳（Yamuna）河谷地势降低。这种地形格局促使地表径流从较高的南部地形快速流向相对低洼的河流区域。排水系统以亚穆纳河和曼达基尼\u002F派苏尼（Mandakini\u002FPaisuni）水系为主，另有巴盖恩（Baghain）、贡塔（Gunta）、巴尔达哈（Bardaha）及较小支流。北方邦洪水灾害图集确认，1998—2020年吉德古德县洪水灾害面积为5，114公顷，其中4，129公顷（81%）属于极低灾害类别，985公顷（19%）属于低灾害类别。然而，历史分类并不能充分反映极端降雨事件的潜在后果。2026年8月的洪水提供了有力证据：据报道，2026年8月29日吉德古德的曼达基尼河达到145.60米的新高洪水位，比此前报告的高水位高出约2.95米，而水位在六小时内上升了约7.5米。研究得出结论，吉德古德的洪水风险在空间上集中于河流廊道、低海拔地区、洪泛平原、农业用地、住区和旅游基础设施周围。因此，必须从传统的以救济为导向的洪水管理转向洪泛平原综合调控、流域管理、基于GIS的风险区划、实时监测和社区为基础的备灾。","International Journal For Multidisciplinary Research",{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":416},"该研究聚焦印度北方邦的洪水灾害评估，虽涉及GIS与遥感方法，但与三农、农业信息化、智慧农业等主题无直接关联，不建议进入每日精选。",[418],{"name":414,"url":411},[420,22,421,422],"防灾减灾","洪水风险评估","GIS应用",{"code":25,"slug":26,"name":27,"path":28,"parent_code":29},[425,429],{"code":210,"slug":426,"name":427,"path":428,"parent_code":29},"gis","GIS与空间分析","\u002Ftopic\u002Fdigital-agriculture\u002Fgis",{"code":430,"slug":431,"name":432,"path":433,"parent_code":434},"H7","climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate","H",{"status":32,"locked":14,"version":33,"method":34,"evidence":436},{"candidates":437,"agricultural_evidence":39},[438,442,447],{"code":25,"score":191,"supported":39,"title":439,"abstract":440,"tags":441},[43],[42,43],[22],{"code":210,"score":443,"supported":39,"title":444,"abstract":445,"tags":446},14,[279],[213,279],[],{"code":430,"score":104,"supported":39,"title":448,"abstract":449,"tags":452},[],[450,451],"干旱","drought",[421,420],[454,455],"Chitrakoot 洪水风险 GIS","Yamuna 洪水脆弱性 遥感","Chitrakoot洪水风险GIS-5326","10.36948\u002Fijfmr.2026.v08i05.89708",{"doi":457,"openalex_id":459,"authors":460,"venue":414,"cited_by_count":15,"oa_url":464,"card":465,"direction":86,"ingested_from":88},"W7222885988",[461],{"name":462,"orcid":463},"Birendra Yadav","https:\u002F\u002Forcid.org\u002F0009-0007-0864-474X","https:\u002F\u002Fwww.ijfmr.com\u002Fpapers\u002F2026\u002F5\u002F89708.pdf",{"tldr":466,"method":467,"finding":468,"direction":86,"opportunity":469},"用GIS与遥感综合评估Chitrakoot区洪水灾害与脆弱性空间分布。","DEM、河网、历史洪水与卫星观测及社会经济数据叠加分析。","洪水风险集中于河谷低地、农田与居民点，历史分级低估极端降雨风险。","可结合时序遥感与水文模型，构建极端降雨情景下的农田洪涝风险动态制图与预警。","2026-10-19T23:30:24.356743Z",{"id":472,"title":473,"url":474,"summary":475,"summary_zh":476,"content":9,"source_name":477,"source_url":474,"published_at":258,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":478,"score_detail":479,"sources":481,"tags":483,"primary_topic":488,"secondary_topics":489,"classification":490,"search_phrases":502,"slug":505,"view_count":15,"doi":506,"paper":507,"created_at":539},5318,"Lagged Effects and Mechanisms of Central Environmental Inspection Policies on Agricultural Straw Burning: Evidence from Remote Sensing Data in China","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs10668-026-08214-3","Lagged Effects and Mechanisms of Central Environmental Inspection Policies on Agricultural Straw Burning: Evidence from Remote Sensing Data in China。Environment Development and Sustainability","中央环保督察政策对农业秸秆焚烧的滞后效应与作用机制：来自中国遥感数据的证据。《环境、发展与可持续性》","Environment Development and Sustainability",84,{"impact":336,"substance":105,"depth":190,"authority":443,"freshness":13,"relevant":62,"comment":480},"基于全国遥感数据评估中央环保督察对秸秆焚烧的滞后效应，数据规模大、方法新颖，对农业环境政策有参考价值，值得进入每日精选。",[482],{"name":477,"url":474},[484,22,485,486,487],"农业政策","卫星遥感","秸秆焚烧","环保督察",{"code":25,"slug":26,"name":27,"path":28,"parent_code":29},[],{"status":32,"locked":14,"version":33,"method":34,"evidence":491},{"candidates":492,"agricultural_evidence":39},[493,497],{"code":25,"score":335,"supported":39,"title":494,"abstract":495,"tags":496},[43],[42,43],[485,22],{"code":498,"score":62,"supported":14,"title":499,"abstract":500,"tags":501},"H5",[],[],[486],[503,504],"中央环保督察 秸秆焚烧","遥感数据 秸秆焚烧","中央环保督察秸秆焚烧-5318","10.1007\u002Fs10668-026-08214-3",{"doi":506,"openalex_id":508,"authors":509,"venue":477,"cited_by_count":15,"oa_url":9,"card":533,"direction":86,"ingested_from":88},"W7222877438",[510,512,514,516,518,520,522,525,527,529,531],{"name":511,"orcid":9},"Lu Dong",{"name":513,"orcid":9},"Linru Zhang",{"name":515,"orcid":9},"Na Liu",{"name":517,"orcid":9},"Xin Long",{"name":519,"orcid":9},"Ziyi Wang",{"name":521,"orcid":9},"Siyue Yang",{"name":523,"orcid":524},"Jie Tian","https:\u002F\u002Forcid.org\u002F0000-0001-6585-3643",{"name":526,"orcid":9},"Qiyuan Wang",{"name":528,"orcid":9},"Zhanfeng Dong",{"name":530,"orcid":9},"Long Wu",{"name":532,"orcid":9},"Yichen Wang",{"tldr":534,"method":535,"finding":536,"direction":537,"opportunity":538},"利用遥感数据评估中央环保督察政策对秸秆焚烧的滞后效应与作用机制。","基于中国遥感火点数据构建面板，采用滞后效应模型识别政策影响机制。","中央环保督察对秸秆焚烧具有显著但滞后的抑制效应，并存在区域异质性。","农业绿色发展与碳","可结合地块级遥感与农户调查，量化督察滞后期内秸秆离田利用与替代处置的路径。","2026-10-19T23:30:22.693590Z"]