Can we supplement in situ data with satellite data?

被引:0
|
作者
Legay, Thomas [1 ]
Aubert, Yoann [1 ]
Verdonck, Julien [1 ]
Guilhen, Jeremy [2 ,3 ]
Paris, Adrien [4 ,5 ]
Martinez, Jean-Michel [6 ]
Sauvage, Sabine [3 ]
Datok, Pankyes [3 ]
Dos Santos, Vanessa [3 ]
Sanchez-Perez, Jose Miquel [3 ]
Bruxelles, Stephane [7 ]
Lavergne, Emeric [2 ]
Mercier, Franck [2 ]
机构
[1] BRL Ingn, Domaines Act Specif Gest Integree Ressourc Eau &, Nimes 5, France
[2] CLS Grp, Pole Terre & Hydrol, Ramonville St Agne, France
[3] Univ Toulouse, Lab Ecol Fonct & Environm, CNRS, INPT,UPS, Toulouse, France
[4] Hydro Matters, Le Faget, France
[5] Univ Toulouse, LEGOS, CNRS, CNES,IRD,UPS, Toulouse, France
[6] Univ Toulouse, CNRS, Geosci Environm Toulouse GET, IRD,UMR 5563, Toulouse, France
[7] CENEAU, Teyran, France
关键词
Couplage; donnees satellites; modelisation hydrologique; inter-comparaison; Coupling; satelite data; hydrological modelling; intercomparison;
D O I
10.1080/27678490.2022.2090289
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
Water resources management requires the use of hydrometric data mainly from in situ stations. Despite the efforts made to set up and maintain a network of stations (hydrometric or meteorological), water resource managers face various issues (degradation of equipment during floods, vandalism, inaccessibility, lack of financial means for maintenance, etc.). Satellite data can enrich water resources monitoring, whatever the objectives of this monitoring (strategic management of water resources, management of structures, flood and low-water forecasting, etc.). These data have the advantage of covering the whole world, including territories that are difficult to access, in regular time steps. Through several projects, different scientific and industrial partners (IRD, CNES, CLS, CNRS, CENEAU horizontal ellipsis ) have contributed to assess and enhance the use of satellite data for water resources management at the scale of a catchment (e.g. the Amazon) or a territory (Uganda). The objective is to deliver hydrological indicators from the combination of hydrological models, in-situ data and satellite data. This article presents the current possibilities and limitations of using satellite data to optimise the monitoring of water resources.
引用
收藏
页数:9
相关论文
共 50 条
  • [1] Can we trust the data? - the data detective
    Carlisle, J.
    SOUTH AFRICAN JOURNAL OF SURGERY, 2024, 62 (03) : 239 - 241
  • [2] Data we can trust
    Jackson, Sarah
    Williams, Corinne L.
    Collins, Kathleen L.
    McNally, Elizabeth M.
    JOURNAL OF CLINICAL INVESTIGATION, 2022, 132 (15):
  • [3] Can We Intercalibrate Satellite Measurements by Means of Data Assimilation? An Attempt on LEO Satellites
    Castillo, Angelica M.
    Shprits, Yuri Y.
    Aseev, Nikita A.
    Smirnov, Artem
    Drozdov, Alexander
    Cervantes, Sebastian
    Michaelis, Ingo
    Penaranda, Marina Garcia
    Wang, Dedong
    SPACE WEATHER-THE INTERNATIONAL JOURNAL OF RESEARCH AND APPLICATIONS, 2024, 22 (01):
  • [4] Before we can handle big data we need smarter data
    Jones, Paul-James
    Vanderwall, Dana
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2015, 250
  • [5] In situ calibration using satellite data results
    Varela, Antonia M.
    Bertolin, C.
    Munoz-Tunon, Casiana
    Fuensalida, Jesus J.
    Ortolani, S.
    WORKSHOP ON ASTRONOMICAL SITE EVALUATION, 2007, 31 : 104 - +
  • [6] CAN WE RELY ON MEMORY DATA
    WALDAHL, R
    AARDAL, BO
    TIDSSKRIFT FOR SAMFUNNSFORSKNING, 1981, 22 (2-3): : 261 - 274
  • [7] Can We Trust Your Data?
    Moore, Susan
    ONCOLOGY NURSING FORUM, 2011, 38 (06) : 615 - 615
  • [8] Can we quantify data on AngioOCT
    Stalmans, Ingeborg
    ACTA OPHTHALMOLOGICA, 2019, 97
  • [9] How well can we estimate error variance of satellite precipitation data around the world?
    Gebregiorgis, Abebe S.
    Hossain, Faisal
    ATMOSPHERIC RESEARCH, 2015, 154 : 39 - 59
  • [10] Distributed data integration prototype system for satellite, in-situ and model data
    Miura, Satoko Horiyama
    Aizawa, Kengo
    IGARSS: 2007 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-12: SENSING AND UNDERSTANDING OUR PLANET, 2007, : 1366 - 1369