[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3180":3,"related-3180":53},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":8,"source_name":9,"source_url":6,"published_at":10,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":14,"score_detail":15,"sources":23,"tags":25,"search_phrases":31,"slug":34,"view_count":35,"doi":36,"paper":37,"created_at":52},3180,"Satellite-Based Assessment of Vegetation and Hydrological Dynamics at the Garâa of Sejnane Ramsar Wetland (Tunisia): A Multi-Temporal NDVI and NDWI Analysis","https:\u002F\u002Fdoi.org\u002F10.21203\u002Frs.3.rs-10690691\u002Fv1","Satellite-Based Assessment of Vegetation and Hydrological Dynamics at the Garâa of Sejnane Ramsar Wetland (Tunisia): A Multi-Temporal NDVI and NDWI Analysis。Research Square",null,"Research Square","2026-09-21T00:00:00Z","论文",10,false,56,{"impact":16,"substance":17,"depth":18,"authority":19,"freshness":20,"relevant":21,"comment":22},8,18,15,6,9,1,"基于多时相NDVI\u002FNDWI的湿地植被与水文动态遥感评估，方法规范但属区域性案例研究，公共影响有限。",[24],{"name":9,"url":6},[26,27,28,29,30],"NDVI","农业生态","遥感监测","湿地保护","NDWI",[32,33],"Sejnane 湿地 NDVI NDWI","突尼斯 拉姆萨尔湿地 遥感","Sejnane湿地NDVINDWI-3180",0,"10.21203\u002Frs.3.rs-10690691\u002Fv1",{"doi":36,"openalex_id":38,"authors":39,"venue":9,"cited_by_count":35,"oa_url":6,"card":8,"direction":50,"ingested_from":51},"W7213955587",[40,42,44,47],{"name":41,"orcid":8},"Imen Khemiri",{"name":43,"orcid":8},"Chahida Chemingui",{"name":45,"orcid":46},"Alaeddine Rouissi","https:\u002F\u002Forcid.org\u002F0009-0000-9319-5182",{"name":48,"orcid":49},"Sahar Abidi","https:\u002F\u002Forcid.org\u002F0000-0003-3355-6876","农业遥感与作物表型","openalex","2026-09-22T23:30:23.965045Z",{"total":19,"page":21,"page_size":19,"items":54},[55,99,146,187,228,272],{"id":56,"title":57,"url":58,"summary":59,"summary_zh":60,"content":8,"source_name":61,"source_url":58,"published_at":62,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":63,"score_detail":64,"sources":69,"tags":71,"search_phrases":75,"slug":78,"view_count":35,"doi":79,"paper":80,"created_at":98},3079,"Drought and Productivity Trends in Freshwater Flooded Forest Swamps in the North American Coastal Plain","https:\u002F\u002Fdoi.org\u002F10.64898\u002F2026.09.16.752089","Climate change has resulted in an increase in drought conditions within the southeastern United States, impacting a variety of ecosystems and species, including the freshwater flooded forest swamps of the North American Coastal Plain (NACP). With the threat of drought leading to a decline in wetlands and shifts in seasonality patterns in the NACP, there is significant concern about the effects of a drying climate on the net primary productivity of bald cypress-tupelo swamps and the potential for ecosystem degradation or conversion. This study seeks to understand the relationship between the net primary productivity of wetlands dominated by bald cypress-tupelo swamps and drought conditions. We used Moderate Resolution Imaging Spectroradiometer (MODIS) imagery from 2000 to 2024, taken from the 500 largest flooded forest swamps in the southeastern USA using Google Earth Engine, to track the changes in productivity of these swamps over time. The trends in MODIS Fraction of Absorbed Photosynthetically Active Radiation (FPAR), Normalized Difference Vegetation Index (NDVI), and Enhanced Vegetation Index (EVI) were compared against three common drought indices using seasonal decomposition and linear regression along with local bivariate spatial associations. We found that while there were small global correlations between drought and productivity metrics, the impact of droughts on these swamps is highly spatially variable, with specific geographical regions displaying differing impacts of drought and precipitation levels on the vegetation productivity. Coastal and southern regions, including the states of Texas, Florida, and Louisiana, are experiencing a decrease in precipitation but have mixed productivity trends. Meanwhile, more inland and coastal northern areas display an increase in precipitation and wetness. Overall, our results suggest that cypress-tupelo swamp productivity varies based on a variety of factors, including, but not limited to, precipitation and drought levels, but some areas may be at risk of further degradation due to drought under future climate change. Further research is encouraged to fully understand vegetation productivity in relation to environmental conditions in individual cypress-tupelo swamps.","气候变化导致美国东南部干旱状况加剧，影响了多种生态系统和物种，其中包括北美沿海平原（NACP）的淡水泛滥森林沼泽。随着干旱威胁导致湿地减少以及NACP季节性模式发生变化，人们对气候干化如何影响落羽杉-紫树沼泽的净初级生产力以及生态系统退化或转变的潜在风险深感担忧。本研究旨在理解以落羽杉-紫树沼泽为主的湿地净初级生产力与干旱状况之间的关系。我们利用Google Earth Engine获取了2000年至2024年期间美国东南部500个最大泛滥森林沼泽的中分辨率成像光谱仪（MODIS）影像，以追踪这些沼泽生产力随时间的变化。我们将MODIS光合有效辐射吸收比例（FPAR）、归一化差异植被指数（NDVI）和增强植被指数（EVI）的趋势与三种常用干旱指数进行比较，采用季节性分解和线性回归以及局部双变量空间关联方法。我们发现，尽管干旱与生产力指标之间存在较小的全局相关性，但干旱对这些沼泽的影响在空间上高度可变，特定地理区域在干旱和降水水平对植被生产力的影响方面表现出差异。沿海和南部地区，包括德克萨斯州、佛罗里达州和路易斯安那州，正在经历降水减少，但生产力趋势不一。与此同时，更内陆和沿海北部地区则显示降水和湿度增加。总体而言，我们的结果表明，落羽杉-紫树沼泽生产力受多种因素影响，包括但不限于降水和干旱水平，但在未来气候变化下，一些地区可能面临因干旱而进一步退化的风险。我们鼓励进一步研究，以充分理解单个落羽杉-紫树沼泽中植被生产力与环境条件的关系。","bioRxiv (Cold Spring Harbor Laboratory)","2026-09-18T00:00:00Z",69,{"impact":65,"substance":66,"depth":67,"authority":65,"freshness":16,"relevant":21,"comment":68},12,20,17,"基于MODIS 2000-2024年长时序遥感数据评估干旱对北美柏树-图珀洛沼泽生产力的空间异质性影响，方法规范、数据规模大，对湿地生态遥感监测有参考价值，但属基础生态研究，与国内三农信息化直接关联有限。",[70],{"name":61,"url":58},[72,26,28,73,74],"气候变化","湿地生态","植被生产力",[76,77],"北美沿海平原 柏树湿地 干旱","MODIS NDVI 湿地生产力","北美沿海平原柏树湿地干旱-3079","10.64898\u002F2026.09.16.752089",{"doi":79,"openalex_id":81,"authors":82,"venue":61,"cited_by_count":35,"oa_url":92,"card":93,"direction":50,"ingested_from":51},"W7213557702",[83,86,89],{"name":84,"orcid":85},"Isabel Holland","https:\u002F\u002Forcid.org\u002F0000-0002-6416-7729",{"name":87,"orcid":88},"Kayla Stan","https:\u002F\u002Forcid.org\u002F0000-0002-2159-3090",{"name":90,"orcid":91},"Clay S. Tucker","https:\u002F\u002Forcid.org\u002F0000-0002-3283-171X","https:\u002F\u002Fwww.biorxiv.org\u002Fcontent\u002Fbiorxiv\u002Fearly\u002F2026\u002F09\u002F18\u002F2026.09.16.752089.full.pdf",{"tldr":94,"method":95,"finding":96,"direction":50,"opportunity":97},"用MODIS遥感追踪北美沿海平原500个沼泽林2000-2024年生产力与干旱关系。","MODIS FPAR\u002FNDVI\u002FEVI与三种干旱指数，季节分解、线性回归及双变量","干旱对沼泽生产力影响空间高度异质，沿海南部降水减少但生产力趋势不一。","可结合高分辨率遥感与地面通量数据，解析单个沼泽林生产力对干旱的非线性响应机制。","2026-09-21T23:30:27.308588Z",{"id":100,"title":101,"url":102,"summary":103,"summary_zh":104,"content":8,"source_name":105,"source_url":102,"published_at":62,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":106,"score_detail":107,"sources":109,"tags":111,"search_phrases":115,"slug":118,"view_count":35,"doi":119,"paper":120,"created_at":145},3078,"Carbon in the Canopy: An Aboveground Carbon Stock Assessment Using Remote Sensing and Forest Inventory Data of Reforested Sites in The City of Koronadal","https:\u002F\u002Fdoi.org\u002F10.54536\u002Fijfe.v2i1.7697","Reforestation is an important component to mitigate climate change because trees absorb carbon from the air and store it in their biomass. But even though people know that reforestation is good for the environment, there isn’t enough local data on how much carbon is stored in these areas, which makes it hard to tell how well they work to fight climate change. This study helped to fix the deficiency of local carbon stock data in reforested areas within the City of Koronadal by employing forest inventory data and remote sensing techniques. The study employed a quantitative research design that integrated field-based forest measurements with remote sensing analysis. NDVI results showed a positive relationship with field data, indicating that remote sensing is a useful tool in measuring NDVI. Measurements were done on tree species, diameter at breast height (DBH), height, and wood density in 200 m perimeter Barangay San Isidro, Barangay Assumption and Barangay San Jose. Allometric equations were used to determine aboveground biomass, which was further transformed into carbon stock according to IPCC. The Landsat 9 satellite images were provided in QGIS and used to compute the Normalized Difference Vegetation Index (NDVI) and to evaluate vegetation cover. The findings indicate a difference between the sites with Barangay San Jose (0.16 t C\u002Fha) and Barangay Assumption (NDVI 0.50) having higher biomass and carbon stock which are dominated mainly by Swietenia macrophylla (Mahogany) for monitoring forest biomass. The findings provide baseline information that can help local government units improve forest management such as the National Greening Program and support climate change mitigation efforts.","再造林是缓解气候变化的重要组成部分，因为树木能从空气中吸收碳并将其储存在生物量中。然而，尽管人们知道再造林对环境有益，但关于这些区域碳储量的本地数据仍然不足，这使得难以判断其在应对气候变化方面的实际效果。本研究通过采用森林清查数据和遥感技术，帮助弥补了科罗纳达尔市再造林区域本地碳储量数据的不足。本研究采用定量研究设计，将实地森林测量与遥感分析相结合。NDVI结果与实地数据呈正相关关系，表明遥感是测量NDVI的有效工具。在Barangay San Isidro、Barangay Assumption和Barangay San Jose周边200米范围内，对树种、胸径（DBH）、树高和木材密度进行了测量。采用异速生长方程确定地上生物量，并依据IPCC方法进一步转化为碳储量。在QGIS中提供Landsat 9卫星影像，用于计算归一化植被指数（NDVI）并评估植被覆盖状况。研究结果表明，各研究样地之间存在差异，其中Barangay San Jose（0.16 t C\u002Fha）和Barangay Assumption（NDVI 0.50）具有较高的生物量和碳储量，其主要优势树种为Swietenia macrophylla（桃花心木），可用于森林生物量监测。研究结果为地方政府单位改进森林管理（如国家绿化计划）和支持气候变化减缓工作提供了基线信息。","International Journal of Forestry and Ecosystem",61,{"impact":16,"substance":17,"depth":18,"authority":65,"freshness":16,"relevant":21,"comment":108},"该研究结合遥感与森林清查数据评估再造林碳储量，方法扎实、数据有增量，但属地方性案例，影响范围有限，可作为农业遥感与林业碳汇主题的参考素材。",[110],{"name":105,"url":102},[26,28,112,113,114],"林业碳汇","森林碳储量","再造林",[116,117],"Koronadal 再造林 碳储量","Landsat 9 NDVI 森林生物量","Koronadal再造林碳储量-3078","10.54536\u002Fijfe.v2i1.7697",{"doi":119,"openalex_id":121,"authors":122,"venue":105,"cited_by_count":35,"oa_url":139,"card":140,"direction":50,"ingested_from":51},"W7213557390",[123,125,127,129,131,133,135,137],{"name":124,"orcid":8},"Krizzel Jan A. Batislaon",{"name":126,"orcid":8},"Keth Lorenz Corre",{"name":128,"orcid":8},"Riz Jorich Franco",{"name":130,"orcid":8},"Zamantha Janylle Funa",{"name":132,"orcid":8},"Dannah Mae Pagod",{"name":134,"orcid":8},"Janne Paulo Panzo",{"name":136,"orcid":8},"Mia Joy A. Inocencio",{"name":138,"orcid":8},"Carlos F. Gaygay","https:\u002F\u002Fjournals.e-palli.com\u002Fhome\u002Findex.php\u002Fijfe\u002Farticle\u002Fdownload\u002F7697\u002F4071",{"tldr":141,"method":142,"finding":143,"direction":50,"opportunity":144},"结合森林清查与遥感评估Koronadal市再造林地地上碳储量。","样地实测DBH、树高、木材密度，异速生长方程与Landsat 9 NDVI。","NDVI与实测数据正相关，不同样地碳储量差异明显，San Jose与Assumption较高。","可扩展多时相遥感与机器学习，建立区域再造林碳汇动态监测与不确定性评估。","2026-09-21T23:30:27.222233Z",{"id":147,"title":148,"url":149,"summary":150,"summary_zh":151,"content":8,"source_name":152,"source_url":149,"published_at":62,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":153,"score_detail":154,"sources":159,"tags":161,"search_phrases":165,"slug":168,"view_count":35,"doi":169,"paper":170,"created_at":186},3075,"Mapping and monitoring land usage changes of gum Arabic belt in armed conflict-disturbed areas to support sustainable management of the belt","https:\u002F\u002Fdoi.org\u002F10.1038\u002Fs41598-026-69562-8","Abstract The Gum Arabic Belt (GAB) in Sudan play a key role in sustaining rural livelihoods, supporting biodiversity, and delivering essential ecosystem services. However, this fragile dryland ecosystem is increasingly threatened by armed conflict, large-scale displacement, land use changes, and environmental degradation. Therefore, this study assessed the status of GAB and gum production under conflict-induced stressors using an integrated methodology that combines meteorological, remote sensing, and participatory field survey data. Multi-temporal MODIS NDVI data (2000–2023) were analyzed to detect spatiotemporal changes in vegetation cover, particularly during peak growing seasons. Normalized Difference Vegetation Index (NDVI) trends were evaluated using five-year intervals, except for the last period (2020–2023) to accommodate the eco-anthropogenic signs of the current war. The results reveal that vegetation recovery across large portions of the GAB is correlated with land abandonment due to ongoing conflict and locals’ displacement. Across all assessed years, moderate vegetation class consistently dominated the landscape, particularly in 2020 and 2023, indicating a notable improvement in vegetation cover in recent years. A significant variation was observed in Gum yield, with higher production in 2005. The study underscores the urgent need for target restoration strategies and sustainable management policies. It also demonstrates the value of integrating earth observation data with local knowledge systems for conflict-sensitive environmental monitoring and policy formation in dryland regions.","摘要 苏丹的阿拉伯胶带（Gum Arabic Belt, GAB）在维持农村生计、支持生物多样性和提供关键生态系统服务方面发挥着重要作用。然而，这一脆弱的旱地生态系统正日益受到武装冲突、大规模流离失所、土地利用变化和环境退化的威胁。因此，本研究采用综合气象、遥感和参与式实地调查数据的方法，评估了冲突引发的压力因素下GAB及阿拉伯胶生产的状况。研究分析了多时相MODIS NDVI数据（2000–2023年），以检测植被覆盖的时空变化，尤其是生长旺季期间的变化。归一化植被指数（NDVI）趋势按五年间隔进行评估，但最后一个时段（2020–2023年）除外，以适应当前战争带来的生态-人为影响迹象。结果表明，GAB大部分地区的植被恢复与持续冲突和当地居民流离失所导致的土地撂荒相关。在所有评估年份中，中等植被等级始终主导景观，尤其是在2020年和2023年，表明近年来植被覆盖显著改善。阿拉伯胶产量存在显著差异，2005年产量较高。该研究强调迫切需要有针对性的恢复策略和可持续管理政策。研究还表明，将地球观测数据与当地知识系统相结合，对于旱地地区冲突敏感型环境监测和政策制定具有重要价值。","Scientific Reports",77,{"impact":155,"substance":156,"depth":17,"authority":157,"freshness":16,"relevant":21,"comment":158},16,21,14,"以MODIS NDVI长时序遥感结合实地调查评估冲突扰动下阿拉伯胶带植被与胶产量变化，方法扎实、结论有政策价值，但属区域案例研究，对国内三农信息化参考有限。",[160],{"name":152,"url":149},[26,28,162,163,164],"荒漠化防治","可持续管理","苏丹",[166,167],"苏丹 阿拉伯胶带 NDVI","MODIS NDVI 植被覆盖 冲突","苏丹阿拉伯胶带NDVI-3075","10.1038\u002Fs41598-026-69562-8",{"doi":169,"openalex_id":171,"authors":172,"venue":152,"cited_by_count":35,"oa_url":180,"card":181,"direction":50,"ingested_from":51},"W7213533975",[173,176,178],{"name":174,"orcid":175},"Elmugheira M. I. Mohammed","https:\u002F\u002Forcid.org\u002F0000-0003-0977-9156",{"name":177,"orcid":8},"Abdalrahman A. Ahmed",{"name":179,"orcid":8},"Faisal I. Musa","https:\u002F\u002Fwww.nature.com\u002Farticles\u002Fs41598-026-69562-8_reference.pdf",{"tldr":182,"method":183,"finding":184,"direction":50,"opportunity":185},"结合遥感与实地调查，评估苏丹武装冲突干扰下阿拉伯胶带土地覆被变化及胶产量。","多时相MODIS NDVI（2000–2023）与气象、参与式实地调查数据集成分","冲突导致人口流离与土地撂荒，反而使大部分区域植被恢复，胶产量年际波动大。","可探究冲突驱动撂荒下植被恢复的生态-社会机制，并开发冲突敏感型遥感监测与可持续管理模型。","2026-09-21T23:30:25.775307Z",{"id":188,"title":189,"url":190,"summary":191,"summary_zh":192,"content":8,"source_name":193,"source_url":190,"published_at":194,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":106,"score_detail":195,"sources":197,"tags":199,"search_phrases":203,"slug":206,"view_count":35,"doi":207,"paper":208,"created_at":227},3072,"APPLICATION OF SENTINEL-2 DATA TO ASSESS SEASONAL VEGETATION DYNAMICS IN THE IALPUG RIVER BASIN, SOUTHERN PART OF THE REPUBLIC OF MOLDOVA","https:\u002F\u002Fdoi.org\u002F10.21163\u002Fgt_2027.221.06","This study uses Sentinel-2 imagery to characterize seasonal vegetation dynamics in the analysed part of the Ialpug River Basin from March to October 2025.Monthly NDVI, month-to-month NDVI differences (ΔNDVI) and mean NDVI were calculated to describe vegetation greenness, the direction and magnitude of change between observations, and average greenness across the study period.The results show spring greening followed by spatially contrasting changes in early summer.Moderate vegetation cover occupied its largest share in April, while dense vegetation reached its maximum extent in June.The most widespread decline occurred between June and July, when 54.18% of the study area recorded an NDVI decrease exceeding 0.1.Very sparse vegetation reached its greatest extent in September, followed by limited greening in October.The mean NDVI classification placed 69.20% of the study area in the sparse vegetation class and 24.49% in the very sparse vegetation class, indicating predominantly low to intermediate average greenness across the selected observations.These classes do not establish persistent vegetation conditions or directly identify land-cover types.The summer decline coincided with documented regional drought conditions, but the analysis did not separate climatic effects from crop development, harvesting or other seasonal processes.The combined indicators provide complementary information for identifying areas with pronounced seasonal decline or low average greenness.Multi-year observations and independent climatic, land-cover and field evidence are required to determine the causes of these patterns and assess their longer-term environmental significance.","本研究利用Sentinel-2影像刻画了雅尔普格河（Ialpug River）流域分析区2025年3月至10月的季节性植被动态。通过计算逐月NDVI、月际NDVI差值（ΔNDVI）及平均NDVI，以描述植被绿度、观测间变化的方向与幅度以及研究期内的平均绿度。结果表明，春季出现绿化，随后在初夏呈现空间分异的变化。中度植被覆盖在4月占比最大，而茂密植被在6月达到最大范围。最广泛的下降发生在6月至7月之间，届时研究区54.18%的面积NDVI下降超过0.1。极稀疏植被在9月达到最大范围，随后在10月出现有限绿化。平均NDVI分类将研究区69.20%的面积归为稀疏植被类，24.49%归为极稀疏植被类，表明所选观测期内平均绿度以低至中等为主。这些类别并不确立持续的植被状况，也不直接识别土地覆盖类型。夏季下降与已记录的区域干旱条件相吻合，但分析未将气候影响与作物发育、收割或其他季节性过程区分开来。综合指标为识别季节性下降显著或平均绿度较低的区域提供了互补信息。要确定这些格局的成因并评估其长期环境意义，尚需多年观测以及独立的气候、土地覆盖和野外证据。","Geographia Technica","2026-09-19T00:00:00Z",{"impact":16,"substance":17,"depth":18,"authority":65,"freshness":16,"relevant":21,"comment":196},"基于Sentinel-2的流域植被季节性动态遥感研究，方法规范、数据翔实，但属区域性案例，对国内农业信息化仅有方法借鉴价值。",[198],{"name":193,"url":190},[26,28,200,201,202],"植被动态","干旱影响","摩尔多瓦",[204,205],"摩尔多瓦 NDVI 植被动态","干旱影响 摩尔多瓦 植被动态 遥感监测","摩尔多瓦NDVI植被动态-3072","10.21163\u002Fgt_2027.221.06",{"doi":207,"openalex_id":209,"authors":210,"venue":193,"cited_by_count":35,"oa_url":221,"card":222,"direction":50,"ingested_from":51},"W7213674461",[211,214,216,219],{"name":212,"orcid":213},"Ecaterina MELNICENCO","https:\u002F\u002Forcid.org\u002F0000-0002-2706-9417",{"name":215,"orcid":8},"Viorica ANGHELUȚA",{"name":217,"orcid":218},"Iradion Jechiu","https:\u002F\u002Forcid.org\u002F0000-0001-9582-0615",{"name":220,"orcid":8},"Iurie BEJAN","https:\u002F\u002Ftechnicalgeography.org\u002Fpdf\u002F1_2027\u002F06_melnicenco.pdf",{"tldr":223,"method":224,"finding":225,"direction":50,"opportunity":226},"用Sentinel-2影像分析摩尔多瓦Ialpug河流域2025年3-10月植被季节动态。","Sentinel-2月度NDVI、ΔNDVI与均值NDVI分类，覆盖2025年3","6-7月54.18%区域NDVI降幅超0.1，均值NDVI以稀疏植被为主（69.20%）。","可结合多年遥感与气候、物候及田间数据，分离干旱与作物管理对NDVI下降的贡献。","2026-09-21T23:30:25.567291Z",{"id":229,"title":230,"url":231,"summary":232,"summary_zh":233,"content":8,"source_name":234,"source_url":231,"published_at":235,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":14,"score_detail":236,"sources":238,"tags":240,"search_phrases":244,"slug":247,"view_count":35,"doi":248,"paper":249,"created_at":271},3069,"Impact of Urbanization on Agriculture and Wetland Management in Makurdi LGA of Benue State, Nigeria","https:\u002F\u002Fdoi.org\u002F10.65757\u002Fhjev1n22","Wetlands are among the most productive ecosystems, providing essential ecological, hydrological, and socio-economic services, including flood regulation, groundwater recharge, water purification, biodiversity conservation, and agricultural support. However, rapid urbanization has accelerated the conversion of wetlands to built-up areas and agricultural land, threatening their ecological integrity. This study assessed the impact of urbanization on agriculture and wetland management in Makurdi Local Government Area, Benue State, over a twenty-year period (2004–2024). The specific objectives were to examine the spatial distribution and extent of wetlands, evaluate the relationship between urban growth and wetland dynamics, and determine the extent of wetland encroachment resulting from urban development. The study employed Geographic Information Systems (GIS) and Remote Sensing techniques using Landsat 7 ETM+, Landsat 8 OLI\u002FTIRS, and Landsat 9 OLI-2\u002FTIRS-2 satellite imagery acquired for 2004, 2014, and 2024. Image preprocessing, supervised classification, change detection, cross-tabulation matrix analysis, and accuracy assessment were performed in ArcGIS and ERDAS Imagine, while field observations and GPS data were used for ground-truthing and validation. Seven land-use\u002Fland-cover classes were identified: wetlands, farmland, shrubland, forest, water bodies, sandbars, and settlements. The findings revealed significant land-use and land-cover changes over the study period. Wetland coverage declined from 4,478.76 ha (5.37%) in 2004 to 2,664.36 ha (2.39%) in 2024, while settlements expanded from 1,182.60 ha (1.42%) to 5,119.22 ha (4.61%) during the same period. Farmland increased from 39.23% to 41.09%, indicating continued conversion of natural ecosystems to agricultural and urban uses. Cross-tabulation analysis further demonstrated substantial transitions of wetlands and farmlands into settlement areas, confirming that urban expansion has become a major driver of wetland degradation in Makurdi. Classification accuracy assessments yielded overall accuracies ranging from 72.15% to 75.93%, with Kappa coefficients between 0.60 and 0.68, indicating that the classified maps were sufficiently reliable for land-use change analysis. The study concludes that rapid urbanization has significantly contributed to wetland loss and fragmentation and has increasingly encroached on agricultural lands, posing serious threats to ecosystem sustainability, biodiversity conservation, flood regulation, and long-term food security. To address these challenges, the study recommends strengthening wetland protection policies, implementing continuous GIS-based monitoring, promoting sustainable urban development, and establishing institutional frameworks to conserve and effectively manage wetlands and agricultural lands in Makurdi","湿地是最具生产力的生态系统之一，提供重要的生态、水文和社会经济服务，包括洪水调节、地下水补给、水质净化、生物多样性保护和农业支持。然而，快速城市化加速了湿地向建成区和农业用地的转化，威胁其生态完整性。本研究评估了贝努埃州马库尔迪地方政府区二十年期间（2004—2024年）城市化对农业和湿地管理的影响。具体目标包括：考察湿地的空间分布与范围，评估城市增长与湿地动态之间的关系，并确定城市发展导致的湿地侵占程度。研究采用地理信息系统（GIS）和遥感技术，使用2004年、2014年和2024年的Landsat 7 ETM+、Landsat 8 OLI\u002FTIRS和Landsat 9 OLI-2\u002FTIRS-2卫星影像。在ArcGIS和ERDAS Imagine中进行了影像预处理、监督分类、变化检测、交叉列联表矩阵分析和精度评估，同时利用实地观测和GPS数据进行地面验证与确认。研究识别出七类土地利用\u002F土地覆盖类型：湿地、农田、灌丛、森林、水体、沙洲和居民点。研究结果显示，研究期间土地利用和土地覆盖发生了显著变化。湿地覆盖面积从2004年的4,478.76公顷（5.37%）下降至2024年的2,664.36公顷（2.39%），而居民点面积同期从1,182.60公顷（1.42%）扩张至5,119.22公顷（4.61%）。农田面积从39.23%增至41.09%，表明自然生态系统持续向农业和城市用途转化。交叉列联表分析进一步表明，湿地和农田大量转变为居民点用地，证实城市扩张已成为马库尔迪湿地退化的主要驱动因素。分类精度评估的总体精度为72.15%至75.93%，Kappa系数在0.60至0.68之间，表明分类图对于土地利用变化分析具有足够的可靠性。研究认为，快速城市化显著加剧了湿地丧失和破碎化，并日益侵占农业用地，对生态系统可持续性、生物多样性保护","Hensard Journal of Environment","2026-09-20T00:00:00Z",{"impact":16,"substance":17,"depth":18,"authority":19,"freshness":20,"relevant":21,"comment":237},"基于Landsat遥感与GIS的尼日利亚湿地退化实证研究，数据扎实但属区域案例，公共影响有限。",[239],{"name":234,"url":231},[241,28,242,243,29],"粮食安全","土地利用","城市化",[245,246],"Makurdi 湿地 城市化","Benue State 遥感","Makurdi湿地城市化-3069","10.65757\u002Fhjev1n22",{"doi":248,"openalex_id":250,"authors":251,"venue":234,"cited_by_count":35,"oa_url":231,"card":266,"direction":50,"ingested_from":51},"W7213745048",[252,254,256,258,260,262,264],{"name":253,"orcid":8},"Joy Iganya Agene",{"name":255,"orcid":8},"Onoja Sunday",{"name":257,"orcid":8},"Akintunde Elijah",{"name":259,"orcid":8},"Ugese Ayangeaor Andrew",{"name":261,"orcid":8},"Kebiru Umoru",{"name":263,"orcid":8},"Aku Umaku Esther",{"name":265,"orcid":8},"Ombugu Gideon",{"tldr":267,"method":268,"finding":269,"direction":50,"opportunity":270},"用遥感与GIS评估尼日利亚马库尔迪20年间城市化对湿地和农业用地的侵占影响。","Landsat 7\u002F8\u002F9影像，监督分类、变化检测与交叉表分析，GPS实地验证。","湿地占比由5.37%降至2.39%，建设用地由1.42%升至4.61%，城市化是湿地退化主因。","可结合多源高分辨率遥感与CA-Markov模型，预测湿地-农田-城市冲突并支撑国土空间优化。","2026-09-21T23:30:24.084401Z",{"id":273,"title":274,"url":275,"summary":276,"summary_zh":277,"content":8,"source_name":278,"source_url":275,"published_at":279,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":280,"score_detail":281,"sources":284,"tags":286,"search_phrases":289,"slug":292,"view_count":35,"doi":293,"paper":294,"created_at":316},2785,"Remote Sensing-Based Assessment of Interannual Change of the Ecological Sustainability of Agricultural Landscapes in Northern Benin","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fsu18189542","Assessing ecological sustainability in agricultural landscapes requires approaches that integrate land-cover change, its ecological effects, and their spatial determinants. This study analysed changes between 2023 and 2024 across six agricultural landscapes in northern Benin using the Landscape Ecological Sustainability Index (LESI), calculated for 1 km2 landscape cells from Human Disturbance Coefficients (HDCs) assigned to satellite-derived land-cover classes. Interannual changes were assessed using ΔLESI, the Wilcoxon signed-rank test, Global Moran’s I, and the Local Indicators of Spatial Association (LISA). The contribution of land-cover transitions to HDC change was quantified and a Monte Carlo sensitivity analysis based on classification accuracy was additionally used to assess the robustness of the observed interannual changes to classification uncertainty, and complementary univariate and bivariate regression models examined the relationships between LESI variations and 11 biophysical and geographical variables, including their pairwise interactions. The interannual comparison between 2023 and 2024 showed a decrease in ecological sustainability in four sites, a slight increase in one, and relative stability in another. Significant spatial autocorrelation was detected in all sites (Moran’s I = 0.44–0.65; p \u003C 0.001). Some spatially limited transitions exerted important effects on HDC change. Sensitivity analysis confirmed that the direction of ΔHDC was robust to classification uncertainty in five of the six landscapes. The low explanatory power of the univariate models (R2 ≤ 0.081) indicates that no single variable independently explains the observed changes. The bivariate interaction analyses further showed that some associations were context-dependent, although their explanatory power remained limited, with the best-performing model accounting for only 10.9% of the variation in ΔLESI. This integrated framework provides a reproducible approach for assessing, mapping, and prioritising interannual change of ecological sustainability from remote sensing data to support evidence-based agricultural landscape planning and sustainable land management.","评估农业景观的生态可持续性，需要整合土地覆盖变化、其生态效应及其空间决定因素的方法。本研究利用景观生态可持续性指数（Landscape Ecological Sustainability Index, LESI），分析了贝宁北部六个农业景观在2023年至2024年间的变化。该指数基于分配给卫星衍生土地覆盖类别的人类干扰系数（Human Disturbance Coefficients, HDCs），以1 km²景观单元为尺度进行计算。年际变化通过ΔLESI、Wilcoxon符号秩检验、全局Moran's I和局部空间关联指标（Local Indicators of Spatial Association, LISA）进行评估。研究量化了土地覆盖转变对HDC变化的贡献，并额外采用基于分类精度的蒙特卡洛敏感性分析，以评估观测到的年际变化对分类不确定性的稳健性；同时，通过互补的单变量和双变量回归模型，检验了LESI变化与11个生物物理和地理变量之间的关系，包括其两两交互作用。2023年至2024年的年际比较显示，四个样点的生态可持续性下降，一个样点略有上升，另一个样点则相对稳定。所有样点均检测到显著的空间自相关（Moran's I = 0.44–0.65；p \u003C 0.001）。一些空间范围有限的转变对HDC变化产生了重要影响。敏感性分析证实，在六个景观中的五个，ΔHDC的方向对分类不确定性具有稳健性。单变量模型的解释力较低（R² ≤ 0.081），表明没有单一变量能独立解释观测到的变化。双变量交互分析进一步表明，一些关联具有情境依赖性，尽管其解释力仍然有限，表现最佳的模型仅解释了ΔLESI变异的10.9%。这一整合框架提供了一种可重复的方法，用于从遥感数据评估、制图和优先排序生态可持续性的年际变化，以支持基于证据的农业景观规划和可持续土地管理。","Sustainability","2026-09-17T00:00:00Z",67,{"impact":16,"substance":66,"depth":67,"authority":282,"freshness":20,"relevant":21,"comment":283},13,"方法体系完整、结论稳健的遥感评估研究，但聚焦西非贝宁地方尺度，对国内三农实践的直接参考价值有限。",[285],{"name":278,"url":275},[287,27,28,242,288],"可持续农业","贝宁",[290,291],"可持续农业 农业生态 土地利用 遥感监测","可持续农业 农业生态","可持续农业农业生态土地利用遥感监测-2785","10.3390\u002Fsu18189542",{"doi":293,"openalex_id":295,"authors":296,"venue":278,"cited_by_count":35,"oa_url":275,"card":311,"direction":50,"ingested_from":51},"W7213443483",[297,300,303,305,308],{"name":298,"orcid":299},"Mikhaïl Jean De Dieu Dotou Padonou","https:\u002F\u002Forcid.org\u002F0009-0006-8295-4984",{"name":301,"orcid":302},"Antoine Denis","https:\u002F\u002Forcid.org\u002F0000-0002-3245-7131",{"name":304,"orcid":8},"Yvon-Carmen Hountondji",{"name":306,"orcid":307},"Bernard Tychon","https:\u002F\u002Forcid.org\u002F0000-0002-9367-7306",{"name":309,"orcid":310},"Gérard Nounagnon Gouwakinnou","https:\u002F\u002Forcid.org\u002F0000-0002-3595-9831",{"tldr":312,"method":313,"finding":314,"direction":50,"opportunity":315},"基于遥感与景观生态可持续性指数评估贝宁北部农业景观2023-2024年际生态可持续性变化。","用LISI指数、ΔLESI、空间自相关、蒙特卡洛敏感性分析及回归模型分析土地覆盖","四个景观生态可持续性下降，空间自相关显著，但单变量与双变量模型解释力均很低。","可引入时序遥感与机器学习，探究多尺度驱动因子交互对农业景观可持续性年际变化的非线性影响。","2026-09-17T23:30:34.344705Z"]