FLOOD ANALYSIS WITH REMOTE SENSING DATA - A CASE STUDY: MARITSA RIVER, EDIRNE

被引:4
作者
Sunar, A. F. [1 ]
Yagmur, N. [1 ]
Dervisoglu, A. [1 ]
机构
[1] Istanbul Tech Univ, Civil Engn Fac, Geomat Engn Dept, TR-34000 Maslak, Turkey
来源
ISPRS ICWG III/IVA GI4DM 2019 - GEOINFORMATION FOR DISASTER MANAGEMENT | 2019年 / 42-3卷 / W8期
关键词
Maritsa-Evros Basin; Flood; Remote Sensing; Sentinel; 1/; 2; Data; GEE;
D O I
10.5194/isprs-archives-XLII-3-W8-497-2019
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
A flood, one of the most devastating natural disasters in the world, occurs when water inundates land that's normally dry. Although floods can develop in many ways, river floods (i.e. overflow by rivers or river banks) are the most common. Turkey is one of the flood-affected countries with its 20 main basins in 8 regions. One of the most aggrieved basins in Turkey is the Maritsa river basin in in Eastern Balkans, which also contains the natural border regions with Greece and Bulgaria. 65% of the Maritsa River basin, which originates from the Rila Mountains and joins the Arda and Tundzha rivers, is located in Bulgaria. When the melting snow flow or precipitation in the basin increases, the Maritsa River overflows from the slopes to the Edirne Plain and from time to time exceeds the capacity of the bed, causing floods. On the other hand, since the water level in the dams and reservoirs was kept at the highest level for production purposes, the flood repeat interval increased in the region, since 2000s. Today, it is possible to monitor and evaluate the damages of flood by obtaining very reliable information with space technology. Especially, microwave SAR images that can penetrate clouds, are of great importance in flood mapping because they provide immediate information on the extent of inundation and support the evaluation of property and environmental damages. In this study, rapid flood risk assessment in the region was performed using Landsat 8 and Sentinel 2 Normalized Difference Water Index (NDWI) time series images, and calibrated Sentinel 1 SAR images produced on Google Earth Engine (GEE) platform for 2015-2018 period. GEE is a cloud-based platform that facilitates access to high-performance computing resources to handle very large geographic data sets. The results were compared and verified using meteorological data, riverbed flow data, and digital media news. The results showed that the most affected areas were consistent with the highest measured flow rates and the magnitude of flood damages caused by two main causes in the basin (i.e. opening of shutters in Bulgarian dams or local excessive rainfall) was very different (approximately 8 times larger) from each other.
引用
收藏
页码:497 / 502
页数:6
相关论文
共 8 条
  • [1] [Anonymous], 2015, HUM COST WEATH REL D
  • [2] INWEB (International Network of Water Environment Centres for the Balkans), INT SHAR SURF WAT BO
  • [3] The use of the normalized difference water index (NDWI) in the delineation of open water features
    McFeeters, SK
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 1996, 17 (07) : 1425 - 1432
  • [4] Sezen N, 2007, INT C RIV BAS MAN ST
  • [5] Inundation Extent Mapping by Synthetic Aperture Radar: A Review
    Shen, Xinyi
    Wang, Dacheng
    Mao, Kebiao
    Anagnostou, Emmanouil
    Hong, Yang
    [J]. REMOTE SENSING, 2019, 11 (07)
  • [6] Turoglu H, 2010, INT MULTI SCI GEOCO, P9
  • [7] Operational Flood Mapping Using Multi-Temporal Sentinel-1 SAR Images: A Case Study from Bangladesh
    Uddin, Kabir
    Matin, Mir A.
    Meyer, Franz J.
    [J]. REMOTE SENSING, 2019, 11 (13)
  • [8] Yildiz D, 2011, 44 ORSAM MIDDL E STR