GFPLAIN250m, a global high-resolution dataset of Earth's floodplains

被引:103
|
作者
Nardi, F. [1 ]
Annis, A. [1 ]
Di Baldassarre, G. [2 ,3 ,4 ]
Vivoni, E. R. [5 ,6 ]
Grimaldi, S. [7 ,8 ]
机构
[1] Univ Foreigners Perugia, Water Resources Res & Documentat Ctr WARREDOC, Perugia, Italy
[2] Uppsala Univ, Dept Earth Sci, Uppsala, Sweden
[3] CNDS, Ctr Nat Hazards & Disaster Sci, Uppsala, Sweden
[4] IHE Delft Inst Water Educ, Delft, Netherlands
[5] Arizona State Univ, Sch Earth & Space Explorat, Tempe, AZ USA
[6] Arizona State Univ, Sch Sustainable Engn & Built Environm, Tempe, AZ USA
[7] Univ Tuscia, Dept Innovat Biol Agrofood & Forest Syst DIBAF, Viterbo, Italy
[8] NYU, Tandon Sch Engn, Dept Mech & Aerosp Engn, New York, NY USA
基金
欧洲研究理事会;
关键词
FLOOD RISK; EXTRACTION; DEM; DELINEATION; ALGORITHM; CLIMATE;
D O I
10.1038/sdata.2018.309
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Identifying floodplain boundaries is of paramount importance for earth, environmental and socioeconomic studies addressing riverine risk and resource management. However, to date, a global floodplain delineation using a homogeneous procedure has not been constructed. In this paper, we present the first, comprehensive, high-resolution, gridded dataset of Earth's floodplains at 250-m resolution (GFPLAIN250m). We use the Shuttle Radar Topography Mission (SRTM) digital terrain model and set of terrain analysis procedures for geomorphic floodplain delineations. The elevation data are processed by a fast geospatial tool for floodplain mapping available for download at https://github.com/fnardi/GFPLAIN. The GFPLAIN250m dataset can support many applications, including flood hazard mapping, habitat restoration, development studies, and the analysis of human-flood interactions. To test the GFPLAIN250m dataset, we perform a consistency analysis with floodplain delineations derived by flood hazard modelling studies in Europe.
引用
收藏
页数:6
相关论文
共 50 条
  • [1] GFPLAIN250m, a global high-resolution dataset of Earth’s floodplains
    F. Nardi
    A. Annis
    G. Di Baldassarre
    E. R. Vivoni
    S. Grimaldi
    Scientific Data, 6
  • [2] Hydrography90m: a new high-resolution global hydrographic dataset
    Amatulli, Giuseppe
    Garcia Marquez, Jaime
    Sethi, Tushar
    Kiesel, Jens
    Grigoropoulou, Afroditi
    Ueblacker, Maria M.
    Shen, Longzhu Q.
    Domisch, Sami
    EARTH SYSTEM SCIENCE DATA, 2022, 14 (10) : 4525 - 4550
  • [3] Global WaterPack - A 250 m resolution dataset revealing the daily dynamics of global inland water bodies
    Klein, Igor
    Gessner, Ursula
    Dietz, Andreas J.
    Kuenzer, Claudia
    REMOTE SENSING OF ENVIRONMENT, 2017, 198 : 345 - 362
  • [4] Global high-resolution microwave emission model for the earth
    Universita Tor Vergata, Rome, Italy
    Radio Sci, 3 (753-766):
  • [5] A global high-resolution microwave emission model for the Earth
    Schiavon, G.
    Ferrazzoli, P.
    Solimini, D.
    De Maagt, P.
    Poiares Baptlsta, J.P.V.
    Radio Science, 1998, 33 (03): : 753 - 766
  • [6] A global high-resolution microwave emission model for the Earth
    Schiavon, G
    Ferrazzoli, P
    Solimini, D
    de Maagt, P
    Baptista, JPVP
    RADIO SCIENCE, 1998, 33 (03) : 753 - 766
  • [7] OpenEarthMap: A Benchmark Dataset for Global High-Resolution Land Cover Mapping
    Xia, Junshi
    Yokoya, Naoto
    Adriano, Bruno
    Broni-Bediako, Clifford
    2023 IEEE/CVF WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV), 2023, : 6243 - 6253
  • [8] Tropical cyclone dataset for a high-resolution global nonhydrostatic atmospheric simulation
    Matsuoka, Daisuke
    Kodama, Chihiro
    Yamada, Yohei
    Nakano, Masuo
    DATA IN BRIEF, 2023, 48
  • [9] A High-Resolution Global Gridded Historical Dataset of Climate Extreme Indices
    Mistry, Malcolm N.
    DATA, 2019, 4 (01)
  • [10] New global high-resolution centerlines dataset of selected river systems
    Basher, Zeenatul
    Lynch, Abigail J.
    Taylor, William W.
    DATA IN BRIEF, 2018, 20 : 1552 - 1555