The research team led by Professor Lixin Wu, Academician of the International Eurasian Academy of Sciences and Head of the Remote Sensing Discipline at Central South University, conducted flood situation monitoring over Vietnam during October 26–29, 2025. Relying on the Disaster Response System for the Belt and Road (DRS4BR) and its Knowledge-Driven Flood Intelligent Monitoring (KDFIM) module,...
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Under the leadership of Professor Lixin Wu, Academician of the International Eurasian Academy of Sciences and head of the Remote Sensing Discipline at Central South University, his research team utilized the Disaster Response System for the Belt and Road (DRS4BR). Based on the Knowledge-Driven Flood Intelligent Monitoring (KDFIM) module within this system and using Sentinel-1 and Sentinel-2 sat...
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In northern Vietnam, under the combined influence of the residual circulation of Typhoon Matmo and orographic uplift, rainfall was intense and spatially concentrated. The core precipitation zones were mainly distributed in the Sông Cầu and Sông Thương basins and their tributaries, including the Sông Công and Sông Lục Nam. In mountainous and hilly regions, cumulative rainfall generally excee...
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据央视新闻报道，2025年10月以来，第21号台风“麦德姆”及其残余环流持续影响广西西部及越南北部，多地出现历史罕见强降雨。广西左江、明江、黑水河等主要江河水位暴涨，沿岸低洼地区出现内涝，农田、交通设施受损严重。中南大学遥感学科带头人、国际欧亚科学院士吴立新教授团队，依托其主导的一带一路减灾服务系统(DRS4BR)，基于其中的知识驱动洪水智能监测算法(KDFIM)模块，联合我国高分三号卫星影像与公开的Sentinel-2卫星影...
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Based on multiple satellite observations on September 19, 2025 and before, we discovered the floodwaters in Sindh and Punjab are now primarily confined within the river/rivers channels, although a small portion of areas outside the channels are also inundated; and no short-term recession of the flood was currently observed. We estimated that in Sindh there are approximately 2,982,900 m² of buil...
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In early September 2025, Alipur District (approximately 29.3°N–29.4°N, 70.9°E–71.1°E) experienced severe flooding caused by intense rainfall and upstream inflows. Using available multiple satellite observations（Gaofen-3, Sentinel-1, Sentinel-2）, we conducted a preliminary assessment based on flood inundation extent and building impact mapping. Results indicate that the district contains app...
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On September 13, 2025, China’s GF-3 satellite was urgently tasked to assist Pakistan in monitoring the flood evolution along the upper reaches of the Indus River in Sindh Province. Observations revealed that by the 13th, severe inundation had occurred in the river reaches upstream of Sukkur, while downstream areas of Sukkur were also beginning to experience progressive flooding of the river ch...
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Satellite observations from September 7–9, 2025 indicated that flood inundation in the Indus River Basin of Sindh Province was relatively limited, primarily confined to the river channel. The overall water depth was shallow, with most inundated areas less than approximately 1 m in depth.2025年9月7–9日卫星观测结果显示，信德省印度河流域洪水淹没程度较轻，主要聚集于印度河河道区域，水深整体较浅，...
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Satellite observations combined with historical information on September 4, 2025 revealed that the heavy rainfall in early September had triggered extensive flooding across Punjab Province, with the Jhelum, Chenab, Ravi, and Sutlej Rivers being most severely affected. The floods originated from the piedmont zones in the northeast and converged southwestward, producing the most severe inundation...
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Combined with the precipitation forecast based on the NCFP GFS model onAugust 18, 2025, and multi-source data such as lithology, DEM, and hydrological conditions along the Karakoram Highway, the TRIGRS model was adopted to conduct landslide risk assessment in the northern area that was greatly affected by rainfall. The NCEP GFS forecast indicates that on August 18, rainfall along the Karako...
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Combined with the precipitation forecast based on the NCFP GFS model onAugust 17, 2025, and multi-source data such as lithology, DEM, and hydrological conditions along the Karakoram Highway, the TRIGRS model was adopted to conduct landslide risk assessment in the northern area that was greatly affected by rainfall. The NCEP GFS forecast indicates that on August 17, rainfall along the Karako...
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Combined with the precipitation forecast based on the NCFP GFS model onAugust 16, 2025, and multi-source data such as lithology, DEM, and hydrological conditions along the Karakoram Highway, the TRIGRS model was adopted to conduct landslide risk assessment in the northern area that was greatly affected by rainfall. The NCEP GFS forecast indicates that on August 16, rainfall along the Karako...
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Combined with the precipitation forecast based on the NCFP GFS model onAugust 15, 2025, and multi-source data such as lithology, DEM, and hydrological conditions along the Karakoram Highway, the TRIGRS model was adopted to conduct landslide risk assessment in the northern area that was greatly affected by rainfall. The NCEP GFS forecast indicates that on August 15, rainfall along the Karako...
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Combined with the precipitation forecast based on the NCFP GFS model onAugust 14, 2025, and multi-source data such as lithology, DEM, and hydrological conditions along the Karakoram Highway, the TRIGRS model was adopted to conduct landslide risk assessment in the northern area that was greatly affected by rainfall. The NCEP GFS forecast indicates that on August 14, rainfall along the Karako...
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Combined with the precipitation forecast based on the NCFP GFS model onAugust 13, 2025, and multi-source data such as lithology, DEM, and hydrological conditions along the Karakoram Highway, the TRIGRS model was adopted to conduct landslide risk assessment in the northern area that was greatly affected by rainfall. The NCEP GFS precipitation forecast shows that on August 13, the overall rai...
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Combined with the precipitation forecast based on the NCFP GFS model onAugust 12, 2025, and multi-source data such as lithology, DEM, and hydrological conditions along the Karakoram Highway, the TRIGRS model was adopted to conduct landslide risk assessment in the northern area that was greatly affected by rainfall. The NCEP GFS precipitation forecast shows that on August 12, the overall rai...
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Combined with the precipitation forecast based on the NCFP GFS model onAugust 11, 2025, and multi-source data such as lithology, DEM, and hydrological conditions along the Karakoram Highway, the TRIGRS model was adopted to conduct landslide risk assessment in the northern area that was greatly affected by rainfall. The NCEP GFS precipitation forecast shows that on August 11, the overall rai...
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Combined with the precipitation forecast based on the NCFP GFS model onAugust 10, 2025, and multi-source data such as lithology, DEM, and hydrological conditions along the Karakoram Highway, the TRIGRS model was adopted to conduct landslide risk assessment in the northern area that was greatly affected by rainfall. The NCEP GFS precipitation forecast shows that on August 10, the overall rai...
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Combined with the precipitation forecast based on the NCFP GFS model on August 9, 2025, and multi-source data such as lithology, DEM, and hydrological conditions along the Karakoram Highway, the TRIGRS model was adopted to conduct landslide risk assessment in the northern area that was greatly affected by rainfall. The NCEP GFS precipitation forecast shows that on August 9th, the overall ra...
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