On the Potential of RST-FLOOD on Visible Infrared Imaging Radiometer Suite Data for Flooded Areas Detection

被引:7
|
作者
Lacava, Teodosio [1 ]
Ciancia, Emanuele [2 ]
Faruolo, Mariapia [1 ]
Pergola, Nicola [1 ]
Satriano, Valeria [1 ]
Tramutoli, Valerio [2 ]
机构
[1] CNR, Inst Methodol Environm Anal, I-85050 Tito, PZ, Italy
[2] Univ Basilicata, Sch Engn, Via Ateneo Lucano 10, I-85100 Potenza, Italy
关键词
flood; satellite remote sensing; near real time; RST-FLOOD; SNPP; JPSS; VIIRS; SENSOR DATA; BASILICATA; EVOLUTION; CLOUD; SEA; RAT;
D O I
10.3390/rs11050598
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Timely and continuous information about flood spatiotemporal evolution are fundamental to ensure an effective implementation of the relief and rescue operations in case of inundation events. In this framework, satellite remote sensing may provide a valuable contribution provided that robust data analysis methods are implemented and suitable data, in terms of spatial, spectral and temporal resolutions, are employed. In this paper, the Robust Satellite Techniques (RST) approach, a satellite-based differential approach, already applied at detecting flooded areas (and therefore christened RST-FLOOD) with good results on different polar orbiting optical sensors (i.e., Advanced Very High Resolution Radiometer - AVHRR - and Moderate Resolution Imaging Spectroradiometer - MODIS), has been fully implemented on time series of Suomi National Polar-orbiting Partnership (Suomi-NPP-SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS) data. The flooding event affecting the Metaponto Plain in Basilicata and Puglia regions (southern Italy) in December 2013 was selected as a case study and investigated by analysing five years (only December month) of VIIRS Imagery bands at 375 m spatial resolution. The achieved results clearly indicate the potential of the proposed approach, especially when compared with a satellite-based high resolution map of flooded area, as well as with the official flood hazard map of the area and the outputs of a recent published VIIRS-based method. Both flood extent and dynamics have been recognized with good reliability during the investigated period, with only a residual 11.5% of possible false positives over an inundated area extent of about 73 km(2). In addition, a flooded area of about 18 km(2) was found outside the hazard map, suggesting it requires updating to better manage flood risk and prevent future damages. Finally, the achieved results indicate that medium-resolution optical data, if analysed with robust methodologies like RST-FLOOD, can be suitable for detecting and monitoring floods also in case of small hydrological basins.
引用
收藏
页数:26
相关论文
共 50 条
  • [1] The visible infrared imaging radiometer suite
    Murphy, R. E.
    Ardanuy, Phillip
    Deluccia, Frank J.
    Clement, J. E.
    Schueler, Carl F.
    EARTH SCIENCE SATELLITE REMOTE SENSING: SCIENCE AND INSTRUMENTS, VOL 1, 2006, : 199 - +
  • [2] Rating the Effectiveness of Fishery Closures With Visible Infrared Imaging Radiometer Suite Boat Detection Data
    Elvidge, Christopher D.
    Ghosh, Tiottama
    Baugh, Kimberly
    Zhizhin, Mikhail
    Hsu, Feng-Chi
    Katada, Nilo Selim
    Penalosa, Wilmon
    Hung, Bui Quang
    FRONTIERS IN MARINE SCIENCE, 2018, 5
  • [3] ON THE POTENTIAL OF ROBUST SATELLITE TECHNIQUE (RST) APPROACH FOR FLOODED AREAS DETECTION AND MONITORING USING THERMAL INFRARED DATA
    Faruolo, M.
    Coviello, I
    Lacava, T.
    Pergola, N.
    Tramutoli, V
    2010 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2010, : 914 - 917
  • [4] A First Extension of the Robust Satellite Technique RST-FLOOD to Sentinel-2 Data for the Mapping of Flooded Areas: The Case of the Emilia Romagna (Italy) 2023 Event
    Satriano, Valeria
    Ciancia, Emanuele
    Pergola, Nicola
    Tramutoli, Valerio
    REMOTE SENSING, 2024, 16 (18)
  • [5] Global Terrestrial Evapotranspiration Estimation from Visible Infrared Imaging Radiometer Suite (VIIRS) Data
    Xie, Zijing
    Yao, Yunjun
    Tang, Qingxin
    Zhang, Xueyi
    Zhang, Xiaotong
    Jiang, Bo
    Xu, Jia
    Yu, Ruiyang
    Liu, Lu
    Ning, Jing
    Fan, Jiahui
    Zhang, Luna
    REMOTE SENSING, 2024, 16 (01)
  • [6] A fast Visible Infrared Imaging Radiometer Suite simulator for cloudy atmospheres
    Liu, Chao
    Yang, Ping
    Nasiri, Shaima L.
    Platnick, Steven
    Meyer, Kerry G.
    Wang, Chenxi
    Ding, Shouguo
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2015, 120 (01) : 240 - 255
  • [7] Automated cloud detection and classification of data collected by the visible infrared imager radiometer suite (VIIRS)
    Hutchison, KD
    Roskovensky, JK
    Jackson, JM
    Heidinger, AK
    Kopp, TJ
    Pavolonis, MJ
    Frey, R
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2005, 26 (21) : 4681 - 4706
  • [8] Methods for Global Survey of Natural Gas Flaring from Visible Infrared Imaging Radiometer Suite Data
    Elvidge, Christopher D.
    Zhizhin, Mikhail
    Baugh, Kimberly
    Hsu, Feng-Chi
    Ghosh, Tilottama
    ENERGIES, 2016, 9 (01):
  • [9] Simulation of the brightness temperatures observed by the visible infrared imaging radiometer suite instrument
    Evrard, Rebecca L.
    Ding, Yifeng
    JOURNAL OF APPLIED REMOTE SENSING, 2018, 12 (01):
  • [10] Analysis of Forest Fire in Australia using Visible Infrared Imaging Radiometer Suite
    Syamala, Sarath Raj Nadarajan Assari
    Santhosh, Anusha
    Ramesh, Rameela
    2021 11TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING, DATA SCIENCE & ENGINEERING (CONFLUENCE 2021), 2021, : 482 - 486