基于GF-1遥感数据监测的岩溶洼地洪涝灾害特征分析-气象研究与应用

文章信息/Info

Title:: Characteristic analysis of floods monitoring in Karst depressions based on GF-1 remote sensing data

作者:: 钟仕全¹; 2; 莫建飞¹; 2; 罗永明¹; 2; 卢保英³; 覃日辉⁴; 1. 广西气象减灾研究所, 南宁 530022;
2. 国家卫星气象中心遥感应用试验基地, 南宁 530022;
3. 都安气象局, 广西都安 530700;
4. 马山气象局, 广西马山 530600

Author(s):: ZHONG Shi-quan¹; 2; Mo Jian-fei¹; 2; LUO Yong-ming¹; 2; LU Bao-ying³; QIN Ri-hui⁴; 1. Guangxi Meteorological Disaster Mitigation Institute, Nanning 530022, China;
2. Remote Sensing Application and Validation Base of National Satellite Meteorological Center, Nanning 530022, China;
3. Duan County Meteorological Service, Duan Guangxi 530700;
4. Mashan County Meteorological Service, Mashan Guangxi 530600

摘要:: 2015年6月中旬,强降水引发了广西马山县、都安县、大化县岩溶洼地严重洪涝灾害,利用高分卫星数据获取周期快、空间分辨率高的优势对此次洪涝受灾情况开展监测评估。根据岩溶洼地遥感影像特征和多时相归一化植被指数变化特征识别岩溶洼地受淹信息,依托GIS空间叠置分析技术耦合遥感本底信息和基础地理数据,分析岩溶洼地洪涝灾害时空特征。本研究充分验证了GF-1卫星遥感数据监测岩溶洼地洪涝灾情的有效性,并可细致描绘岩溶洼地洪涝灾害淹没时间长、受灾面积小、数量多、分布广泛的特点。

Abstract:: In the middle of June 2015, severe flooding occurred in Mashan, Duan and Dahua three counties located in the northern Guangxi province, which was monitored and evaluated by GF-1 satellite remote sensing images. Based on its image characteristics and multiple NDVI change rule, the flooded area in Karst area were identified. And the space-time characteristics of the disaster were analyzed by coupling flood characteristics and remote sensing background data and basic geographic information by GIS spatial overlay analysis technology. This study fully verified the effectiveness of GF-1 satellite remote sensing data to monitor the flood disaster in karst depressions and the advantages in drowning out the features, like:long time flooding, the small flooding area, much in quantity and wide in distribution. As the karst depression floods have remarkable characteristics, such as long covered time, small area, widely distribution, this flood case study validates the effectiveness of GF-1 remote sensing data in monitoring flood disaster in these areas.