[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3496":3,"related-3496":51},{"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,"search_phrases":24,"slug":27,"view_count":15,"doi":28,"paper":29,"created_at":50},3496,"Cartographic Analysis of the Spatial Changes in the Tourist Resort of Saly (Senegal) Between 1988 and 2024","https:\u002F\u002Fdoi.org\u002F10.11648\u002Fj.ajep.20261505.12","The creation of the seaside resort of Saly in Senegal in 1984 marked the beginning of a transition from a village to an urban center. However, the development of a designated area is often marked by a context of urban transformation and expansion, giving rise to various territorial and societal challenges. Hence, the objective of this study is to assess the spatial dynamics of the Saly tourist resort between 1988 and 2024. The methodological approach was based on the analysis of satellite imagery and the application of remote sensing techniques, notably the NDBI index and the calculation of the average annual growth rate of spatial units. The results revealed that from 1988 to 2002), the built-up area increased significantly (from 38 to 534 ha), while agricultural land (from 963 to 613 ha), bare land (from 315 to 78 ha), and beaches (from 67 to 52 ha) declined. Between 2002 and 2014, built-up areas increased (from 534 to 903 ha), followed by a decrease in vegetation (from 421 to 349 ha) and agricultural land (from 613 to 345 ha). During the period from 2014 to 2024, built-up areas saw a slight increase (from 903 to 950 ha) and a shift in trends regarding vegetation (from 349 to 460 ha) and open land (from 64 to 235 ha), while agricultural land (from 345 to 13 ha) and beaches (from 47 to 44 ha) decreased further. These trends show that 86.29% of the territory underwent land-use conversion, compared with 13.71% that remained stable over these 36 years. The built-up area shows an estimated average annual growth rate of 9.4%, while vegetation increased slightly by 0.99%. In contrast, agricultural land declined by 11.20%, as did beaches and bare ground, which decreased by 1.31% and 0.82%, respectively. These trends reflect three phases of spatial dynamics: rapid expansion (1988-2002), consolidation (2002-2014), and spatial restructuring (2014-2024). Analysis of the NDBI index from 1988 shows values ranging from generally low to slightly negative (-0.42 and 0.02) to a higher value (0.21) in 2024. Spatial dynamics reveal rapid urbanization in Saly, requiring sustainable land-use policies that take natural areas into account and continuous monitoring of land use to better manage urban growth.","1984年塞内加尔萨利海滨度假胜地的创建，标志着该地区从村庄向城市中心的转型开端。然而，指定区域的发展往往伴随着城市转型与扩张的背景，由此引发各种领土与社会挑战。因此，本研究旨在评估1988年至2024年间萨利旅游度假区的空间动态。研究方法基于卫星影像分析和遥感技术的应用，特别是NDBI指数（归一化建筑指数）以及空间单元年均增长率的计算。结果显示，1988年至2002年间，建成区面积显著增加（从38公顷增至534公顷），而农业用地（从963公顷降至613公顷）、裸地（从315公顷降至78公顷）和海滩（从67公顷降至52公顷）则有所减少。2002年至2014年间，建成区面积继续增加（从534公顷增至903公顷），随后植被（从421公顷降至349公顷）和农业用地（从613公顷降至345公顷）减少。2014年至2024年间，建成区面积略有增加（从903公顷增至950公顷），植被（从349公顷增至460公顷）和空地（从64公顷增至235公顷）趋势发生转变，而农业用地（从345公顷降至13公顷）和海滩（从47公顷降至44公顷）进一步减少。这些趋势表明，在这36年间，86.29%的领土发生了土地利用转换，而13.71%保持稳定。建成区年均增长率估计为9.4%，植被略有增加，为0.99%。相比之下，农业用地下降了11.20%，海滩和裸地分别下降了1.31%和0.82%。这些趋势反映了三个空间动态阶段：快速扩张期（1988-2002年）、巩固期（2002-2014年）和空间重组期（2014-2024年）。对1988年以来NDBI指数的分析显示，数值从普遍较低至略负（-0.42和0.02），到2024年升至较高值（0.21）。空间动态揭示了萨利的快速城市化，需要制定考虑自然区域的可持续土地利用政策，并持续监测土地利用，以更好地管理城市增长。",null,"American Journal of Environmental Protection","2026-09-24T00:00:00Z","论文",10,false,0,{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":17},"研究塞内加尔海滨度假区1988-2024年土地利用变化，属城市与旅游地理遥感范畴，与三农、农业信息化、数字乡村主题无关，不予入选。",[19],{"name":10,"url":6},[21,22,23],"遥感监测","土地利用","滨海旅游",[25,26],"Saly Senegal 遥感 土地利用","土地利用 滨海旅游 遥感监测","SalySenegal遥感土地利用-3496","10.11648\u002Fj.ajep.20261505.12",{"doi":28,"openalex_id":30,"authors":31,"venue":10,"cited_by_count":15,"oa_url":6,"card":43,"direction":47,"ingested_from":49},"W7214164135",[32,34,37,40],{"name":33,"orcid":9},"Moctar Badji",{"name":35,"orcid":36},"Hyacinthe Sambou","https:\u002F\u002Forcid.org\u002F0009-0000-5049-3550",{"name":38,"orcid":39},"Cheikh Mbow","https:\u002F\u002Forcid.org\u002F0000-0003-4620-4490",{"name":41,"orcid":42},"Dramé Amata Fodé","https:\u002F\u002Forcid.org\u002F0009-0007-1428-6061",{"tldr":44,"method":45,"finding":46,"direction":47,"opportunity":48},"基于遥感影像分析塞内加尔Saly旅游度假区1988-2024年土地利用变化。","卫星影像与NDBI指数，计算空间单元年均增长率。","建设用地年均增长9.4%，农地减少11.20%，86.29%土地发生转换。","农业遥感与作物表型","可结合多源遥感与机器学习，监测旅游区扩张对农地与生态的长期影响。","openalex","2026-09-25T23:30:30.648444Z",{"total":52,"page":53,"page_size":52,"items":54},6,1,[55,92,134,187,225,258],{"id":56,"title":57,"url":58,"summary":59,"summary_zh":60,"content":9,"source_name":61,"source_url":58,"published_at":62,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":63,"sources":65,"tags":67,"search_phrases":70,"slug":73,"view_count":15,"doi":74,"paper":75,"created_at":91},3506,"Urban Sprawl and Traffic-Related Air Pollution in Greater Gaborone: A Spatial Analysis of the Land Use–Transport–Environment Relationship","https:\u002F\u002Fdoi.org\u002F10.31223\u002Fx5v22m","Rapid urban sprawl in many Sub-Saharan African cities has significantly reshaped urban mobility patterns, resulting in longer commuting distances, increased private vehicle dependence, and growing pressure on major transport corridors. These trends have important implications for environmental quality, urban sustainability, and climate resilience. This paper investigates the spatial relationship between urban sprawl and traffic-related air pollution (TRAP) in Greater Gaborone, Botswana, using Geographic Information Systems (GIS) and remote sensing techniques. Landsat imagery from the United States Geological Survey (USGS), accessed via Google Earth Engine, is used to map land use and land cover change between 2006 and 2026, and Sentinel-5P TROPOMI tropospheric NO2 data are used to map TRAP hotspots for 2026 using the Getis-Ord Gi* statistic. Built-up land area in Greater Gaborone grew by 79.6% over the study period, spreading outward from the historic core in multiple directions. TRAP hotspots are concentrated in this core and extend along the city's major roads into nearby growth areas, while more distant peripheral growth remains in the coldspot zone. This suggests that pollution has not spread uniformly with the built-up footprint, and that Greater Gaborone's transport corridors may play a role in shaping which growth areas experience elevated pollution and which do not. These findings offer evidence-based insights for land use planning and air quality management within Botswana's urban development framework, and highlight that Greater Gaborone spans multiple local government jurisdictions with no single authority responsible for the metropolitan area as a whole.","许多撒哈拉以南非洲城市的快速城市蔓延显著重塑了城市出行模式，导致通勤距离延长、私人车辆依赖加剧以及对主要交通走廊的压力不断增大。这些趋势对环境质量、城市可持续性和气候韧性具有重要影响。本文利用地理信息系统（GIS）和遥感技术，研究了博茨瓦纳大哈博罗内地区城市蔓延与交通相关空气污染（TRAP）之间的空间关系。研究使用通过Google Earth Engine获取的美国地质调查局（USGS）Landsat影像，绘制了2006年至2026年间的土地利用与土地覆盖变化，并利用Sentinel-5P TROPOMI对流层NO2数据，采用Getis-Ord Gi*统计量绘制了2026年TRAP热点分布。研究期间，大哈博罗内的建成区面积增长了79.6%，从历史核心区向多个方向向外扩展。TRAP热点集中在该核心区，并沿城市主要道路延伸至邻近的增长区域，而更远的外围增长区仍处于冷点区。这表明污染并未随建成区足迹均匀扩散，大哈博罗内的交通走廊可能在决定哪些增长区出现污染升高、哪些不升高方面发挥了作用。这些发现为博茨瓦纳城市发展框架内的土地利用规划和空气质量管理提供了基于证据的见解，并凸显出大哈博罗内跨越多个地方政府辖区，没有任何单一机构对整个大都市区负责。","OpenAlex","2026-09-23T00:00:00Z",{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":64},"研究博茨瓦纳哈博罗内城市扩张与交通空气污染，属城市环境与遥感领域，与三农、农业信息化、智慧农业无关，不建议进入每日精选。",[66],{"name":61,"url":58},[21,22,68,69],"城市扩张","交通空气污染",[71,72],"Greater Gaborone 城市扩张","Sentinel-5P NO2 遥感","GreaterGaborone城市扩张-3506","10.31223\u002Fx5v22m",{"doi":74,"openalex_id":76,"authors":77,"venue":9,"cited_by_count":15,"oa_url":85,"card":86,"direction":47,"ingested_from":49},"W7214110791",[78,81,83],{"name":79,"orcid":80},"Keone Kelobonye","https:\u002F\u002Forcid.org\u002F0000-0002-6652-6262",{"name":82,"orcid":9},"Chenesani Sithole",{"name":84,"orcid":9},"Orateng Amos","https:\u002F\u002Feartharxiv.org\u002Frepository\u002Fobject\u002F15173\u002Fdownload\u002F26308\u002F",{"tldr":87,"method":88,"finding":89,"direction":47,"opportunity":90},"用GIS与遥感分析大哈博罗内城市蔓延与交通相关空气污染的空间关系。","Landsat与Sentinel-5P NO2数据，结合Getis-Ord Gi","建设用地增79.6%，污染热点集中于核心区并沿主干道延伸，外围增长区仍为冷点。","可延伸至城乡交错带交通污染暴露与土地利用协同治理，关注跨辖区空气质量管理机制。","2026-09-25T23:30:33.701778Z",{"id":93,"title":94,"url":95,"summary":96,"summary_zh":97,"content":9,"source_name":61,"source_url":95,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":98,"sources":100,"tags":102,"search_phrases":104,"slug":107,"view_count":15,"doi":108,"paper":109,"created_at":133},3493,"Urbanization and Land Use\u002FLand Cover Change in Jalingo Local Government Area, Taraba State, Nigeria: A Multi-Temporal Remote Sensing and Socio-Economic Assessment","https:\u002F\u002Fdoi.org\u002F10.54117\u002Fcanhm718","Rapid urbanization is a major driver of land use and land cover (LULC) transformation, particularly in rapidly developing cities of sub-Saharan Africa. This study examined the impact of urbanization on LULC in Jalingo Local Government Area of Taraba State, Nigeria, with particular emphasis on the period 1994–2024. The study integrated multi-temporal Landsat satellite imagery, Geographic Information Systems (GIS), post-classification change detection and questionnaire data to assess the spatial and temporal dynamics of urban growth and its environmental and socio-economic implications. Landsat 5 TM, Landsat 7 ETM+ and Landsat 8 OLI\u002FTIRS imagery for 1994, 2004, 2014 and 2024 were classified into four major LULC categories: built-up area, vegetation, bare surface and water body. A questionnaire survey involving 384 respondents was also used to assess perceived drivers and consequences of urbanization. The results revealed substantial transformation of the Jalingo landscape. Vegetation declined from 170.56 km² (87.47%) in 1994 to 50.39 km² (25.84%) in 2024, representing a net loss of 120.17 km². In contrast, built-up land increased from 4.30 km² (2.20%) to 18.06 km² (9.26%), while bare surfaces expanded from 18.60 km² (9.54%) to 124.68 km² (63.94%). The most rapid transformation occurred between 2004 and 2014, when vegetation declined by 81.57 km² while bare surfaces increased by 71.79 km² and built-up land by 10.46 km². Survey results indicated that government policies and initiatives, economic opportunities, population growth and infrastructure development were important perceived drivers of urbanization. Most respondents also perceived significant negative effects on agricultural land, livelihoods, food security and access to essential natural resources. The study concludes that urban growth in Jalingo has generated important economic and infrastructural benefits but has also produced substantial environmental degradation and socio-economic pressures. Strengthened land-use planning, protection of agricultural and ecological areas, urban greening, sustainable livelihood programmes, community participation and continuous GIS-based monitoring are recommended.","快速城市化是土地利用与土地覆盖(LULC)变化的主要驱动力，在撒哈拉以南非洲快速发展的城市中尤为突出。本研究考察了尼日利亚塔拉巴州贾林戈地方政府辖区城市化对土地利用与土地覆盖的影响，重点关注1994—2024年这一时期。研究综合运用多时相Landsat卫星影像、地理信息系统(GIS)、分类后变化检测和问卷调查数据，评估城市增长的空间与时间动态及其环境和社会经济影响。将1994年、2004年、2014年和2024年的Landsat 5 TM、Landsat 7 ETM+和Landsat 8 OLI\u002FTIRS影像分为四个主要土地利用与土地覆盖类别：建设用地、植被、裸地表和水体。同时开展了一项涉及384名受访者的问卷调查，以评估城市化的感知驱动因素及其后果。结果表明，贾林戈景观发生了显著转变。植被从1994年的170.56 km²(87.47%)下降至2024年的50.39 km²(25.84%)，净损失120.17 km²。相比之下，建设用地从4.30 km²(2.20%)增至18.06 km²(9.26%)，而裸地表从18.60 km²(9.54%)扩展至124.68 km²(63.94%)。变化最快的时期为2004—2014年，期间植被减少81.57 km²，裸地表增加71.79 km²，建设用地增加10.46 km²。调查结果表明，政府政策和举措、经济机会、人口增长和基础设施建设是城市化的重要感知驱动因素。大多数受访者还认为，城市化对农业用地、生计、粮食安全和基本自然资源的获取产生了显著的负面影响。研究认为，贾林戈的城市增长带来了重要的经济和基础设施效益，但也造成了严重的环境退化和社会经济压力。建议加强土地利用规划、保护农业和生态区域、推进城市绿化、实施可持续生计项目、促进社区参与以及持续开展基于GIS的监测。",{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":99},"研究对象为尼日利亚Jalingo地区城市化与土地利用变化，属国际区域地理研究，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。",[101],{"name":61,"url":95},[21,22,103],"城市化",[105,106],"尼日利亚 Jalingo 土地利用","Landsat 遥感 城市化","尼日利亚Jalingo土地利用-3493","10.54117\u002Fcanhm718",{"doi":108,"openalex_id":110,"authors":111,"venue":9,"cited_by_count":15,"oa_url":9,"card":128,"direction":47,"ingested_from":49},"W7214145360",[112,115,118,120,122,124,126],{"name":113,"orcid":114},"Mohammed Bakoji Yusuf","https:\u002F\u002Forcid.org\u002F0000-0002-8719-2396",{"name":116,"orcid":117},"Ambrose Audu Zemba","https:\u002F\u002Forcid.org\u002F0000-0002-7692-9911",{"name":119,"orcid":9},"Huzaima Abubakar Bakoji",{"name":121,"orcid":9},"AUWAL ADAMU BAKAKU",{"name":123,"orcid":9},"UMAR ABBA JAURO",{"name":125,"orcid":9},"Aliyu Mohammed Jingudo",{"name":127,"orcid":9},"Abubakar Isa",{"tldr":129,"method":130,"finding":131,"direction":47,"opportunity":132},"用多时相遥感和问卷评估尼日利亚Jalingo 1994–2024年城市化驱动的土地利用变化。","Landsat 5\u002F7\u002F8影像分类、GIS变化检测与384份问卷。","植被减少120.17 km²，建设用地和裸地大幅扩张，2004–2014变化最快。","可结合多源遥感与农户调查，研究西非城市扩张对农地流失和粮食安全的驱动机制。","2026-09-25T23:30:30.441601Z",{"id":135,"title":136,"url":137,"summary":138,"summary_zh":139,"content":9,"source_name":140,"source_url":137,"published_at":141,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":142,"score_detail":143,"sources":149,"tags":151,"search_phrases":155,"slug":158,"view_count":15,"doi":159,"paper":160,"created_at":186},3189,"Influence of Drought Events on Vegetation and Land Use Dynamics Utilising Orbital Data: A Case Study in the Pajeú River Basin, Pernambuco","https:\u002F\u002Fdoi.org\u002F10.29150\u002Fjhrs.v16i03.269030","Monitoring drought in the northeastern Semi-Arid region is a challenge compounded by high rainfall variability and a scarcity of in situ monitoring networks, which makes the use of geotechnologies for water resource management essential. This study aimed to analyze land use and occupation dynamics from 2002 to 2022 in the Pajeú River basin in Pernambuco, Brazil, and their relationship with drought events, using indices based on remote sensing. The Standardized Precipitation Index (SPI) was applied to characterize meteorological drought, while the Vegetation Health Index (VHI) and Normalized Vegetation Water Supply Index (NVSWI) were used to assess the ecosystem's response. The results indicated that the period from 2011 to 2016 was the most severe and prolonged drought, which was reinforced by low VHI and NVSWI values, indicating water stress on vegetation during the same period. The correlation analysis revealed that land use classes, such as vegetation and water, responded directly to drought, whereas degraded anthropogenic areas, including pasture and exposed soil, exhibited the opposite behavior. The joint analysis of the three indices and land use and occupation data provided a comprehensive understanding of the evolution of drought in the study area, highlighting the importance of a multiple approach to monitoring complex environments.","监测半干旱东北部地区的干旱是一项挑战，降雨变率大且原位监测网络稀缺使这一挑战更加复杂，因此利用地理技术进行水资源管理至关重要。本研究旨在利用基于遥感的指数，分析2002年至2022年巴西伯南布哥州帕热乌河流域的土地利用与覆盖动态及其与干旱事件的关系。采用标准化降水指数（SPI）表征气象干旱，同时使用植被健康指数（VHI）和归一化植被供水指数（NVSWI）评估生态系统的响应。结果表明，2011年至2016年是最严重且持续时间最长的干旱期，同期较低的VHI和NVSWI值进一步证实了这一点，表明植被在此期间受到水分胁迫。相关性分析显示，植被和水体等土地利用类别对干旱有直接响应，而牧场和裸露土壤等退化的人为区域则表现出相反的行为。三个指数与土地利用及覆盖数据的联合分析为理解研究区域干旱演变提供了全面的认识，凸显了多方法途径在监测复杂环境中的重要性。","Journal of Hyperspectral Remote Sensing","2026-09-19T00:00:00Z",61,{"impact":144,"substance":145,"depth":146,"authority":147,"freshness":144,"relevant":53,"comment":148},8,18,15,12,"该研究利用遥感指数分析巴西半干旱流域干旱与植被动态，方法扎实但属区域性案例，对国内三农信息化参考价值有限。",[150],{"name":140,"url":137},[152,21,22,153,154],"水资源管理","干旱监测","植被指数",[156,157],"Pajeú River basin 干旱 遥感","SPI VHI NVSWI 植被","PajeúRiverbasin干旱遥感-3189","10.29150\u002Fjhrs.v16i03.269030",{"doi":159,"openalex_id":161,"authors":162,"venue":140,"cited_by_count":15,"oa_url":180,"card":181,"direction":47,"ingested_from":49},"W7213792298",[163,166,169,172,175,177],{"name":164,"orcid":165},"Juliana Farias Santos de Moraes","https:\u002F\u002Forcid.org\u002F0000-0002-3241-844X",{"name":167,"orcid":168},"Estephania Silva Jovino","https:\u002F\u002Forcid.org\u002F0000-0002-6694-3533",{"name":170,"orcid":171},"Alex Vinícius de Melo Vieira","https:\u002F\u002Forcid.org\u002F0009-0002-5204-3734",{"name":173,"orcid":174},"Anderson Luiz Ribeiro de Paiva","https:\u002F\u002Forcid.org\u002F0000-0003-3475-1454",{"name":176,"orcid":9},"Sylvana Sylvana Melo dos Santos",{"name":178,"orcid":179},"Leidjane Maria Maciel de Oliveira","https:\u002F\u002Forcid.org\u002F0000-0003-1251-6998","https:\u002F\u002Fperiodicos.ufpe.br\u002Frevistas\u002Fjhrs\u002Farticle\u002Fdownload\u002F269030\u002F52814",{"tldr":182,"method":183,"finding":184,"direction":47,"opportunity":185},"利用遥感指数分析巴西Pajeú河流域2002-2022年干旱对植被与土地利用的影响。","采用SPI、VHI和NVSWI指数，结合遥感数据与土地利用分类。","2011-2016年干旱最严重，植被和水体响应直接，而牧场和裸地呈相反趋势。","可融合多源遥感与机器学习，构建半干旱区干旱-植被-土地利用耦合预警模型。","2026-09-22T23:30:26.557816Z",{"id":188,"title":189,"url":190,"summary":191,"summary_zh":192,"content":9,"source_name":193,"source_url":194,"published_at":195,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":196,"score_detail":197,"sources":200,"tags":202,"search_phrases":206,"slug":209,"view_count":15,"doi":210,"paper":211,"created_at":224},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":144,"substance":145,"depth":146,"authority":198,"freshness":144,"relevant":53,"comment":199},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。",[201],{"name":193,"url":194},[203,21,22,204,205],"农业遥感","印度农业","植被覆盖",[207,208],"Nagaon Assam LULC 遥感","LISS-IV 土地利用变化","NagaonAssamLULC遥感-3187","10.31018\u002Fjans.v18i3.7774",{"doi":210,"openalex_id":212,"authors":213,"venue":193,"cited_by_count":15,"oa_url":194,"card":219,"direction":47,"ingested_from":49},"W7213942371",[214,216],{"name":215,"orcid":9},"J. C. Das",{"name":217,"orcid":218},"Prodyut Bhattacharya","https:\u002F\u002Forcid.org\u002F0000-0002-4294-5585",{"tldr":220,"method":221,"finding":222,"direction":47,"opportunity":223},"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":226,"title":227,"url":228,"summary":229,"summary_zh":230,"content":9,"source_name":231,"source_url":228,"published_at":195,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":232,"score_detail":233,"sources":236,"tags":238,"search_phrases":241,"slug":244,"view_count":15,"doi":245,"paper":246,"created_at":257},3183,"Integrated Remote Sensing and Time Series Analysis for Long-Term Assessment of Vegetation Resilience: Synthesizing Climatic Variables and Land-Use\u002FLand-Cover Trajectories in Al-Ahsa Oasis, Saudi Arabia","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fland15091758","Continuous monitoring of land-use\u002Fland-cover (LULC) change is essential in the Al-Ahsa Oasis, an arid region characterized by a sensitive and fragile environment. This study is the first to integrate vegetation, climate, and land-use frameworks by combining vegetation indicators, climatic variables, and LULC trajectory classification over a 41-year period (1985–2025). Data from three Landsat sensors (Landsat 5-TM, 7-ETM+, and 8-OLI) were processed to derive vegetation indicators and an LULC trajectory classification, while ERA5-Land and CHIRPS data provided surface temperature and rainfall information, respectively. LULC trajectory classification was implemented using a random forest classifier, generating six LULC trajectory classes: stable barren, stable urban, stable water, urban expansion, transition lands, and stable vegetation. Pearson correlation analysis was used to assess the relationships between the vegetation indicators (normalized difference vegetation index [NDVI] and soil-adjusted vegetation index [SAVI]) and climatic variables (temperature and rainfall) at different time lags (0–3 years) and after detrending the time series. The detrending analysis showed no statistically significant associations between the vegetation indicators (NDVI and SAVI) and the climatic variables (temperature and rainfall) across the four examined lags, whereas the original, non-detrended time series showed positive associations that were mainly attributable to long-term trends rather than to interannual climate–vegetation covariation. The accuracy of LULC trajectory classification was high, with an overall accuracy of 0.939 and a kappa coefficient of 0.924, indicating robust mapping performance. Overall vegetation cover improved over the study period. The degradation occurred in the central part of the oasis (stable urban, urban expansion, and stable water classes, accounting for 4.506%, 5.179%, and 41.773% of each trajectory class, respectively), whereas the recovery was observed in the northern, southern, and eastern parts (stable vegetation and transition lands, accounting for 37.656% and 52.891% of each trajectory class, respectively). These findings provide long-term insights into vegetation resilience in the Al-Ahsa Oasis over 41 years, supporting sustainable urban planning and vegetation and agricultural management.","在环境敏感而脆弱的干旱区——哈萨绿洲，持续监测土地利用\u002F土地覆盖（LULC）变化至关重要。本研究首次在41年（1985—2025年）时间跨度内，通过整合植被指标、气候变量与LULC轨迹分类，构建了植被、气候与土地利用的综合框架。研究处理了三颗Landsat传感器（Landsat 5-TM、7-ETM+和8-OLI）的数据，以提取植被指标并进行LULC轨迹分类，同时分别利用ERA5-Land和CHIRPS数据获取地表温度和降雨信息。LULC轨迹分类采用随机森林分类器实现，生成了六类LULC轨迹：稳定裸地、稳定城市、稳定水体、城市扩张、过渡土地和稳定植被。采用Pearson相关分析评估植被指标（归一化差异植被指数[NDVI]和土壤调节植被指数[SAVI]）与气候变量（温度和降雨）在不同时间滞后（0—3年）及时间序列去趋势后的关系。去趋势分析表明，在四个考察滞后下，植被指标（NDVI和SAVI）与气候变量（温度和降雨）之间均无统计学显著关联，而原始未去趋势时间序列则显示出正相关，这主要归因于长期趋势而非年际气候—植被协变。LULC轨迹分类精度较高，总体精度为0.939，kappa系数为0.924，表明制图性能稳健。研究期间整体植被覆盖有所改善。退化发生在绿洲中部（稳定城市、城市扩张和稳定水体类别，分别占各轨迹类别的4.506%、5.179%和41.773%），而恢复则出现在北部、南部和东部（稳定植被和过渡土地，分别占各轨迹类别的37.656%和52.891%）。这些发现为哈萨绿洲41年来的植被恢复力提供了长期见解，可支持可持续城市规划以及植被与农业管理。","Land",73,{"impact":147,"substance":234,"depth":145,"authority":198,"freshness":144,"relevant":53,"comment":235},22,"41年长时序遥感与气候变量整合分析，方法扎实、结论可靠，对干旱区绿洲农业可持续管理有参考价值，但属区域性案例研究，公共影响有限。",[237],{"name":231,"url":228},[239,21,22,205,240],"气候变化","绿洲农业",[242,243],"Al-Ahsa Oasis 遥感 植被","Landsat NDVI 土地利用变化","Al-AhsaOasis遥感植被-3183","10.3390\u002Fland15091758",{"doi":245,"openalex_id":247,"authors":248,"venue":231,"cited_by_count":15,"oa_url":228,"card":252,"direction":47,"ingested_from":49},"W7213862324",[249],{"name":250,"orcid":251},"Amal H. Aljaddani","https:\u002F\u002Forcid.org\u002F0000-0003-1171-8416",{"tldr":253,"method":254,"finding":255,"direction":47,"opportunity":256},"整合41年Landsat植被指数、气候变量与LULC轨迹，评估沙特Al-Ahsa绿洲植被恢复力。","Landsat 5\u002F7\u002F8时序、ERA5-Land与CHIRPS气候数据、随机森","去趋势后植被与气候无显著相关，绿洲整体植被改善，中部退化、南北东恢复。","可引入非线性\u002F因果推断与高分辨率数据，区分灌溉、城市化与气候对干旱区绿洲植被恢复力的驱动。","2026-09-22T23:30:25.304168Z",{"id":259,"title":260,"url":261,"summary":262,"summary_zh":263,"content":9,"source_name":264,"source_url":261,"published_at":141,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":265,"sources":267,"tags":269,"search_phrases":271,"slug":274,"view_count":15,"doi":275,"paper":276,"created_at":292},3071,"Urban Influence on Landscape Transformation and Land Cover Interactions During Urban Expansion (1972–2022): A Remote Sensing and GIS-Based Analysis","https:\u002F\u002Fdoi.org\u002F10.2478\u002Fjlecol-2026-0038","Abstract This study investigates how urban expansion influences land cover dynamics. An interactive analytical approach was adopted to examine the transitions among built-up areas, cropland, and bare land throughout the urbanization process. Remote Sensing and GIS techniques, in conjunction with the Land Transfer Matrix (LTM), Landscape Metrics (LM), Multi-buffer Ring (MBR) and complementary spatial tools, were employed to analyze the city of Tiaret in Algeria over the past half century (1972-2022). The results reveal a marked intensification of urbanization, with an Overall Average Annual Urban Expansion Rate (OA-AUER) of 28.3 ha and a concurrent rise in bare land driven by cropland conversion under urban pressure. Notably, 89.4 % of cropland loss initially transitions into bare land, while subsequent urban development originates from cropland (52 %) and bare land (47 %). The observed density patterns in peripheral areas confirm the significant influence of the urban core on surrounding land-cover transformations. These findings elucidate the urbanization process while considering the transitional role of bare land and further explain diffusion coalescence process. Further empirical research is recommended to refine theoretical frameworks on landscape transformation dynamics and to inform policies aimed at mitigating bare-land expansion in peri-urban areas, controlling cropland urbanization, and planning sustainable urban growth.","摘要 本研究探讨城市扩张如何影响土地覆盖动态。采用交互式分析方法，考察城市化进程中建成区、耕地和裸地之间的转换。运用遥感与地理信息系统技术，结合土地转移矩阵（LTM）、景观格局指数（LM）、多缓冲环（MBR）及辅助空间工具，对阿尔及利亚提亚雷特市过去半个世纪（1972—2022年）的变化进行了分析。结果表明，城市化显著加剧，年均城市扩张总面积率（OA-AUER）为28.3公顷，同时在城市压力下耕地转换导致裸地同步增加。值得注意的是，89.4%的耕地损失最初转变为裸地，而随后的城市发展来源于耕地（52%）和裸地（47%）。外围区域观测到的密度格局证实了城市核心对周边土地覆盖变化的显著影响。这些发现阐明了城市化过程，同时考虑了裸地的过渡性作用，并进一步解释了扩散聚合过程。建议开展进一步实证研究，以完善景观转型动态的理论框架，并为旨在减缓城郊地区裸地扩张、控制耕地城市化以及规划可持续城市增长的政策提供依据。","Journal of Landscape Ecology",{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":266},"该论文聚焦阿尔及利亚Tiaret市城市扩张与土地覆盖变化，属城市地理与遥感应用研究，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。",[268],{"name":264,"url":261},[270,21,22,68],"耕地保护",[272,273],"Tiaret 城市扩张 遥感","耕地 建设用地 转移矩阵","Tiaret城市扩张遥感-3071","10.2478\u002Fjlecol-2026-0038",{"doi":275,"openalex_id":277,"authors":278,"venue":264,"cited_by_count":15,"oa_url":286,"card":287,"direction":47,"ingested_from":49},"W7213652939",[279,281,283],{"name":280,"orcid":9},"Amina Kalbaza",{"name":282,"orcid":9},"Belkacem Marir",{"name":284,"orcid":285},"Farida Naceur","https:\u002F\u002Forcid.org\u002F0009-0004-1962-4937","https:\u002F\u002Freference-global.com\u002Fdownload\u002Farticle\u002F10.2478\u002Fjlecol-2026-0038.pdf",{"tldr":288,"method":289,"finding":290,"direction":47,"opportunity":291},"基于遥感与GIS分析阿尔及利亚提亚雷特1972—2022年城市扩张对景观与土地覆盖的影响。","遥感、GIS、土地转移矩阵、景观格局指数与多缓冲环分析。","耕地先转为裸地再被城市占用，城市核心显著驱动外围土地覆盖转变。","可延伸研究裸地作为耕地—城市转换中间态的机制，并构建城郊耕地流失预警模型。","2026-09-21T23:30:24.332177Z"]