Applications of open-access remotely sensed data for flood modelling and mapping in developing regions

Lancaster Environment Centre

Associated organisational unit

Geospatial Data Science

Text available via DOI:

https://doi.org/10.3390/hydrology5030039
Final published version
Available under license: CC BY: Creative Commons Attribution 4.0 International License

Keywords

open-access remotely sensed data, flood mapping and modelling, altimetry, synthetic aperture radar, optical satellite, Digital Elevation Model (DEM), transboundary floods

View graph of relations

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Published

Standard

Applications of open-access remotely sensed data for flood modelling and mapping in developing regions. / Ekeu-Wei, Iguniwari ; Blackburn, George Alan.
In: Hydrology, Vol. 5, No. 3, 39, 31.07.2018.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Bibtex

@article{4685f4f81d914318bbfe5e666aa3e2c8,

title = "Applications of open-access remotely sensed data for flood modelling and mapping in developing regions",

abstract = "Flood modelling and mapping typically entail flood frequency estimation, hydrodynamic modelling and inundation mapping, which require specific datasets that are often unavailable in developing regions due to financial, logistical, technical and organizational challenges. This review discusses fluvial (river) flood modelling and mapping processes and outlines the data requirements of these techniques. This paper explores how open-access remotely sensed and other geospatial datasets can supplement ground-based data and high-resolution commercial satellite imagery in data sparse regions of developing countries. The merits, demerits and uncertainties associated with the application of these datasets, including radar altimetry, digital elevation models, optical and radar images, are discussed. Nigeria, located within the Niger river basin of West Africa is a typical data-sparse country, and it is used as a case study in this review to evaluate the significance of open-access datasets for local and transboundary flood analysis. Hence, this review highlights the vital contribution that open access remotely sensed data can make to flood modelling and mapping and to support flood management strategies in developing regions",

keywords = "open-access remotely sensed data, flood mapping and modelling, altimetry, synthetic aperture radar, optical satellite, Digital Elevation Model (DEM), transboundary floods",

author = "Iguniwari Ekeu-Wei and Blackburn, {George Alan}",

year = "2018",

month = jul,

day = "31",

doi = "10.3390/hydrology5030039",

language = "English",

volume = "5",

journal = "Hydrology",

issn = "2306-5338",

publisher = "Multidisciplinary Digital Publishing Institute",

number = "3",

}

RIS

TY - JOUR

T1 - Applications of open-access remotely sensed data for flood modelling and mapping in developing regions

AU - Ekeu-Wei, Iguniwari

AU - Blackburn, George Alan

PY - 2018/7/31

Y1 - 2018/7/31

N2 - Flood modelling and mapping typically entail flood frequency estimation, hydrodynamic modelling and inundation mapping, which require specific datasets that are often unavailable in developing regions due to financial, logistical, technical and organizational challenges. This review discusses fluvial (river) flood modelling and mapping processes and outlines the data requirements of these techniques. This paper explores how open-access remotely sensed and other geospatial datasets can supplement ground-based data and high-resolution commercial satellite imagery in data sparse regions of developing countries. The merits, demerits and uncertainties associated with the application of these datasets, including radar altimetry, digital elevation models, optical and radar images, are discussed. Nigeria, located within the Niger river basin of West Africa is a typical data-sparse country, and it is used as a case study in this review to evaluate the significance of open-access datasets for local and transboundary flood analysis. Hence, this review highlights the vital contribution that open access remotely sensed data can make to flood modelling and mapping and to support flood management strategies in developing regions

AB - Flood modelling and mapping typically entail flood frequency estimation, hydrodynamic modelling and inundation mapping, which require specific datasets that are often unavailable in developing regions due to financial, logistical, technical and organizational challenges. This review discusses fluvial (river) flood modelling and mapping processes and outlines the data requirements of these techniques. This paper explores how open-access remotely sensed and other geospatial datasets can supplement ground-based data and high-resolution commercial satellite imagery in data sparse regions of developing countries. The merits, demerits and uncertainties associated with the application of these datasets, including radar altimetry, digital elevation models, optical and radar images, are discussed. Nigeria, located within the Niger river basin of West Africa is a typical data-sparse country, and it is used as a case study in this review to evaluate the significance of open-access datasets for local and transboundary flood analysis. Hence, this review highlights the vital contribution that open access remotely sensed data can make to flood modelling and mapping and to support flood management strategies in developing regions

KW - open-access remotely sensed data

KW - flood mapping and modelling

KW - altimetry

KW - synthetic aperture radar

KW - optical satellite

KW - Digital Elevation Model (DEM)

KW - transboundary floods

U2 - 10.3390/hydrology5030039

DO - 10.3390/hydrology5030039

M3 - Journal article

VL - 5

JO - Hydrology

JF - Hydrology

SN - 2306-5338

IS - 3

M1 - 39

ER -

Research

Associated organisational unit

Links

Text available via DOI:

Keywords