[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"topic-NDWI":3},{"name":4,"kind":5,"tokens":6,"total":7,"page":8,"page_size":9,"items":10},"NDWI","tag",[4],2,1,100,[11,102],{"id":12,"title":13,"url":14,"summary":15,"summary_zh":16,"content":17,"source_name":18,"source_url":14,"published_at":19,"category":20,"cover_url":17,"hotness":21,"is_selected":22,"score":23,"score_detail":24,"sources":26,"tags":28,"primary_topic":17,"secondary_topics":33,"classification":34,"search_phrases":66,"slug":69,"view_count":70,"doi":71,"paper":72,"created_at":101},3840,"Open-Source GIS Applications for Flood and Landslide Assessment: Comparative Cases from Poland and Malaysia","https:\u002F\u002Fdoi.org\u002F10.36777\u002Fjag2026.5.2.6","Research on natural disasters requires analytical procedures that are rapid, reproducible, and based on sound scientific principles. Such procedures should also be accessible to institutions responsible for environmental monitoring, land-use planning, and disaster risk reduction. This study evaluated the practical use of publicly available geospatial data and open-source GIS tools for the preliminary assessment of two contrasting natural hazards: the September 2024 flood in Lower Silesia, Poland, with particular focus on the urban floodplain of Wrocław, and the December 2022 landslide in Batang Kali, Selangor, Malaysia. The study utilised Copernicus Sentinel-2 MSI Level-2A satellite imagery, digital elevation model (DEM) data from the Copernicus programme, OpenStreetMap vector layers, and spatial processing in QGIS. The methodology employed a pre- and post-event change-detection approach based on spectral indices. The Normalized Difference Water Index (NDWI) was used to map the extent of flooding, while the Normalized Difference Vegetation Index (NDVI) was used to identify vegetation disturbances associated with the landslide. Raster classification, elevation analysis, vector-layer overlay, and thematic mapping were subsequently used to delineate disaster-affected areas and examine their spatial relationships with built-up areas, hydrographic features, and terrain morphology. The results show that the Copernicus Data Space Ecosystem and QGIS provide a transparent and cost-effective analytical environment for the preliminary assessment of natural disaster impacts. In the Wrocław case, the NDWI helped identify flooded areas and infrastructure potentially exposed to flooding. In the Batang Kali case, differences in NDVI helped identify patterns of vegetation disturbance associated with the landslide-affected area. The study demonstrates that open-source geospatial tools can support repeatable natural disaster analysis, geospatial education, and early-stage decision support for disaster risk reduction.","自然灾害研究需要快速、可重复且基于可靠科学原理的分析程序。此类程序还应能为负责环境监测、土地利用规划和灾害风险减少的机构所使用。本研究评估了公开地理空间数据和开源GIS工具在两类不同自然灾害初步评估中的实际应用：2024年9月波兰下西里西亚洪水，重点关注弗罗茨瓦夫的城市洪泛区；以及2022年12月马来西亚雪兰莪州巴当加里滑坡。研究使用了哥白尼Sentinel-2 MSI Level-2A卫星影像、哥白尼计划的数字高程模型（DEM）数据、OpenStreetMap矢量图层，并在QGIS中进行空间处理。方法采用基于光谱指数的灾前灾后变化检测方法。归一化差异水体指数（NDWI）用于制图洪水范围，归一化差异植被指数（NDVI）用于识别与滑坡相关的植被扰动。随后利用栅格分类、高程分析、矢量图层叠加和专题制图来圈定受灾区域，并考察其与建成区、水系特征和地形形态的空间关系。结果表明，哥白尼数据空间生态系统和QGIS为自然灾害影响的初步评估提供了透明且具有成本效益的分析环境。在弗罗茨瓦夫案例中，NDWI有助于识别淹没区和可能受洪水影响的基础设施。在巴当加里案例中，NDVI差异有助于识别与滑坡影响区相关的植被扰动格局。研究表明，开源地理空间工具能够支持可重复的自然灾害分析、地理空间教育以及灾害风险减少的早期决策支持。",null,"Journal of Asian Geography","2026-09-29T00:00:00Z","论文",10,false,0,{"impact":23,"substance":23,"depth":23,"authority":23,"freshness":23,"relevant":23,"comment":25},"该论文聚焦开源GIS与遥感在洪涝滑坡灾害评估中的应用，属地理信息与灾害风险领域，与三农、农业信息化、智慧农业无直接关联，故不进入每日精选。",[27],{"name":18,"url":14},[29,30,31,4,32],"NDVI","遥感监测","灾害评估","开源GIS",[],{"status":35,"locked":22,"version":36,"method":37,"evidence":38},"needs_review","2026-10-22.2","rules",{"candidates":39,"agricultural_evidence":22,"reason":65},[40,48,55,60],{"code":41,"score":42,"supported":43,"title":44,"abstract":46,"tags":47},"I4",11,true,[45],"GIS",[45],[],{"code":49,"score":50,"supported":43,"title":51,"abstract":52,"tags":54},"I2",3,[],[53],"decision support",[],{"code":56,"score":7,"supported":22,"title":57,"abstract":58,"tags":59},"I3",[],[],[29,30],{"code":61,"score":8,"supported":22,"title":62,"abstract":63,"tags":64},"H7",[],[],[31],"农业相关性需要复核",[67,68],"QGIS 洪水 滑坡 评估","Sentinel-2 灾害 遥感","QGIS洪水滑坡评估-3840",4,"10.36777\u002Fjag2026.5.2.6",{"doi":71,"openalex_id":73,"authors":74,"venue":18,"cited_by_count":23,"oa_url":93,"card":94,"direction":98,"ingested_from":100},"W7214781133",[75,77,79,81,83,85,88,90],{"name":76,"orcid":17},"Oliwia Szweda",{"name":78,"orcid":17},"Wazif Akmal Bin Hassdi",{"name":80,"orcid":17},"Muhammad Naqib Akmal Bin Hasbullah",{"name":82,"orcid":17},"Kacper Kaczmarski",{"name":84,"orcid":17},"Divbya A.P. Lachimanan",{"name":86,"orcid":87},"K. Tomiczek","https:\u002F\u002Forcid.org\u002F0000-0001-9227-310X",{"name":89,"orcid":17},"Hareyani Zabidi",{"name":91,"orcid":92},"Monika Żogała","https:\u002F\u002Forcid.org\u002F0000-0002-2309-6493","https:\u002F\u002Fejournal.usm.my\u002Fjag\u002Farticle\u002Fdownload\u002F6257\u002F9385",{"tldr":95,"method":96,"finding":97,"direction":98,"opportunity":99},"用开源GIS与Sentinel-2数据对比评估波兰洪水与马来西亚滑坡灾害影响。","Sentinel-2影像、DEM、OpenStreetMap与QGIS，NDWI","开源工具可低成本、可重复地识别洪水范围与滑坡植被扰动，支持早期决策。","农业遥感与作物表型","可将该开源遥感流程迁移至农田洪涝与滑坡风险监测，结合作物损失评估与预警。","openalex","2026-09-30T23:30:28.033994Z",{"id":103,"title":104,"url":105,"summary":106,"summary_zh":17,"content":17,"source_name":107,"source_url":105,"published_at":108,"category":20,"cover_url":17,"hotness":21,"is_selected":22,"score":109,"score_detail":110,"sources":117,"tags":119,"primary_topic":17,"secondary_topics":122,"classification":123,"search_phrases":135,"slug":138,"view_count":23,"doi":139,"paper":140,"created_at":153},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","Research Square","2026-09-21T00:00:00Z",56,{"impact":111,"substance":112,"depth":113,"authority":114,"freshness":115,"relevant":8,"comment":116},8,18,15,6,9,"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。",[118],{"name":107,"url":105},[29,120,30,121,4],"农业生态","湿地保护",[],{"status":35,"locked":22,"version":36,"method":37,"evidence":124},{"candidates":125,"agricultural_evidence":22,"reason":65},[126,131],{"code":127,"score":7,"supported":22,"title":128,"abstract":129,"tags":130},"H6",[],[],[120,121],{"code":56,"score":7,"supported":22,"title":132,"abstract":133,"tags":134},[],[],[29,30],[136,137],"Sejnane 湿地 NDVI NDWI","突尼斯 拉姆萨尔湿地 遥感","Sejnane湿地NDVINDWI-3180","10.21203\u002Frs.3.rs-10690691\u002Fv1",{"doi":139,"openalex_id":141,"authors":142,"venue":107,"cited_by_count":23,"oa_url":105,"card":17,"direction":98,"ingested_from":100},"W7213955587",[143,145,147,150],{"name":144,"orcid":17},"Imen Khemiri",{"name":146,"orcid":17},"Chahida Chemingui",{"name":148,"orcid":149},"Alaeddine Rouissi","https:\u002F\u002Forcid.org\u002F0009-0000-9319-5182",{"name":151,"orcid":152},"Sahar Abidi","https:\u002F\u002Forcid.org\u002F0000-0003-3355-6876","2026-09-22T23:30:23.965045Z"]