Use of remote sensing data in distributed hydrological models: Applications in the Senegal River basin

Inge Sandholt; Jens Andersen; Gorm Dybkjær; Medou Lo; Kjeld Rasmussen; Jens Chr. Refsgaard; Karsten Høgh-Jensen

doi:10.1080/00167223.1999.10649422

Use of remote sensing data in distributed hydrological models: Applications in the Senegal River basin

Inge Sandholt, Jens Andersen, Gorm Dybkjær, Medou Lo, Kjeld Rasmussen, Jens Chr. Refsgaard, Karsten Høgh-Jensen

Publikation: Bidrag til tidsskrift › Artikel › Forskning › peer review

9 Citationer (Scopus)

Resumé

Research activities aiming at integrating Earth Observation data in large scale distributed hydrological modelling will be presented. The focus will be on the Senegal River basin in West Africa where satellite data from various sensors and from different parts of the electromagnetic spectrum will be used in combination with a distributed model specifically adapted to utilize Earth Observation data. The work represents the initial results obtained by the ongoing INTEO project. The outcome and experiences gained so far are primarily related to low resolution optical data from the NOAA-AVHRR sensor, and results related to land cover classification, vegetation and soil moisture will be presented.

Originalsprog	Engelsk
Sider (fra-til)	47-57
Antal sider	11
Tidsskrift	Geografisk Tidsskrift
Vol/bind	99
Udgave nummer	1
DOI	https://doi.org/10.1080/00167223.1999.10649422
Status	Udgivet - 1999
Udgivet eksternt	Ja

Programområde

Programområde 2: Vandressourcer

Adgang til dokumentet

10.1080/00167223.1999.10649422

Citationsformater

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title = "Use of remote sensing data in distributed hydrological models: Applications in the Senegal River basin",

abstract = "Research activities aiming at integrating Earth Observation data in large scale distributed hydrological modelling will be presented. The focus will be on the Senegal River basin in West Africa where satellite data from various sensors and from different parts of the electromagnetic spectrum will be used in combination with a distributed model specifically adapted to utilize Earth Observation data. The work represents the initial results obtained by the ongoing INTEO project. The outcome and experiences gained so far are primarily related to low resolution optical data from the NOAA-AVHRR sensor, and results related to land cover classification, vegetation and soil moisture will be presented.",

keywords = "Distributed hydrological modelling, Earth observation, Hydrology, Land cover, MIKE-SHE, NOAA-AVHRR, Remote sensing, Senegal River basin, Soil moisture, SPOT, West Africa",

author = "Inge Sandholt and Jens Andersen and Gorm Dybkj{\ae}r and Medou Lo and Kjeld Rasmussen and Refsgaard, {Jens Chr.} and Karsten H{\o}gh-Jensen",

year = "1999",

doi = "10.1080/00167223.1999.10649422",

language = "English",

volume = "99",

pages = "47--57",

journal = "Geografisk Tidsskrift",

issn = "0016-7223",

publisher = "Taylor & Francis Group",

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}

TY - JOUR

T1 - Use of remote sensing data in distributed hydrological models

T2 - Applications in the Senegal River basin

AU - Sandholt, Inge

AU - Andersen, Jens

AU - Dybkjær, Gorm

AU - Lo, Medou

AU - Rasmussen, Kjeld

AU - Refsgaard, Jens Chr.

AU - Høgh-Jensen, Karsten

PY - 1999

Y1 - 1999

N2 - Research activities aiming at integrating Earth Observation data in large scale distributed hydrological modelling will be presented. The focus will be on the Senegal River basin in West Africa where satellite data from various sensors and from different parts of the electromagnetic spectrum will be used in combination with a distributed model specifically adapted to utilize Earth Observation data. The work represents the initial results obtained by the ongoing INTEO project. The outcome and experiences gained so far are primarily related to low resolution optical data from the NOAA-AVHRR sensor, and results related to land cover classification, vegetation and soil moisture will be presented.

AB - Research activities aiming at integrating Earth Observation data in large scale distributed hydrological modelling will be presented. The focus will be on the Senegal River basin in West Africa where satellite data from various sensors and from different parts of the electromagnetic spectrum will be used in combination with a distributed model specifically adapted to utilize Earth Observation data. The work represents the initial results obtained by the ongoing INTEO project. The outcome and experiences gained so far are primarily related to low resolution optical data from the NOAA-AVHRR sensor, and results related to land cover classification, vegetation and soil moisture will be presented.

KW - Distributed hydrological modelling

KW - Earth observation

KW - Hydrology

KW - Land cover

KW - MIKE-SHE

KW - NOAA-AVHRR

KW - Remote sensing

KW - Senegal River basin

KW - Soil moisture

KW - SPOT

KW - West Africa

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U2 - 10.1080/00167223.1999.10649422

DO - 10.1080/00167223.1999.10649422

M3 - Article

AN - SCOPUS:0033380512

SN - 0016-7223

VL - 99

SP - 47

EP - 57

JO - Geografisk Tidsskrift

JF - Geografisk Tidsskrift

IS - 1

ER -

Use of remote sensing data in distributed hydrological models: Applications in the Senegal River basin

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