A roadmap for high-resolution satellite soil moisture applications - confronting product characteristics with user requirements

被引:214
作者
Peng, Jian [1 ,2 ,3 ]
Albergel, Clement [4 ,25 ]
Balenzano, Anna [5 ]
Brocca, Luca [6 ]
Cartus, Oliver [7 ]
Cosh, Michael H. [8 ]
Crow, Wade T. [8 ]
Dabrowska-Zielinska, Katarzyna [9 ]
Dadson, Simon [3 ,10 ]
Davidson, Malcolm W. J. [11 ]
de Rosnay, Patricia [12 ]
Dorigo, Wouter [13 ]
Gruber, Alexander [14 ]
Hagemann, Stefan [15 ]
Hirschi, Martin [16 ]
Kerr, Yann H. [17 ]
Lovergine, Francesco [5 ]
Mahecha, Miguel D. [2 ]
Marzahn, Philip [18 ]
Mattia, Francesco [5 ]
Musial, Jan Pawel [9 ]
Preuschmann, Swantje [19 ]
Reichle, Rolf H. [20 ]
Satalino, Giuseppe [5 ]
Silgram, Martyn [21 ]
Van Bodegom, Peter M. [22 ]
Verhoest, Niko E. C. [23 ]
Wagner, Wolfgang [13 ]
Walker, Jeffrey P. [24 ]
Wegmuller, Urs [7 ]
Loew, Alexander [18 ]
机构
[1] UFZ Helmholtz Ctr Environm Res, Dept Remote Sensing, Permoserstr 15, D-04318 Leipzig, Germany
[2] Univ Leipzig, Remote Sensing Ctr Earth Syst Res, D-04103 Leipzig, Germany
[3] Univ Oxford, Sch Geog & Environm, Oxford OX1 3QY, England
[4] Univ Toulouse, CNRS, CNRM, Meteo France, F-31057 Toulouse, France
[5] Consiglio Nazl Ric CNR, Ist Rilevamento Elettromagnet Ambiente, Bari, Italy
[6] CNR, Res Inst Geohydrol Protect, Perugia, Italy
[7] Gamma Remote Sensing Res & Consulting AG GAMMA, Gumlingen, Switzerland
[8] ARS, USDA, Hydrol & Remote Sensing Lab, Beltsville, MD USA
[9] Remote Sensing Ctr, Inst Geodesy & Cartog IGiK, Warsaw, Poland
[10] Ctr Ecol & Hydrol, Maclean Bldg, Wallingford OX10 8BB, Oxon, England
[11] European Space Agcy, Mission Sci Div, NL-2200 AG Noordwijk, Netherlands
[12] European Ctr Medium Range Weather Forecasts ECMWF, Reading RG2 9AX, Berks, England
[13] TU Wien, Dept Geodesy & Geoinformat, Vienna, Austria
[14] Katholieke Univ Leuven, Dept Earth & Environm Sci, Heverlee, Belgium
[15] Helmholtz Zentrum Geesthacht, Inst Coastal Res, Geesthacht, Germany
[16] Swiss Fed Inst Technol, Inst Atmospher & Climate Sci, Univ Str 16, CH-8092 Zurich, Switzerland
[17] UMR 5126 Univ Toulouse 3, CESBIO, CNES, CNRS,INRAE,IRD, Toulouse, France
[18] Univ Munich LMU, Dept Geog, D-80333 Munich, Germany
[19] Helmholtz Zentrum Geesthacht, Climate Serv Ctr Germany GERICS, Hamburg, Germany
[20] NASA, Global Modeling & Assimilat Off, GSFC, Greenbelt, MD USA
[21] ADAS UK Ltd, Wergs Rd, Wolverhampton WV6 8TQ, England
[22] Leiden Univ, Inst Environm Sci, NL-2333 CC Leiden, Netherlands
[23] Univ Ghent, Lab Hydrol & Water Management, Coupure Links 653, B-9000 Ghent, Belgium
[24] Monash Univ, Dept Civil Engn, Clayton, Vic, Australia
[25] ECSAT, European Space Agcy Climate Off, Harwell Campus, Didcot OX11 0FD, Oxon, England
基金
英国自然环境研究理事会;
关键词
Soil moisture; Remote sensing; Coarse resolution; High resolution; Hydrology; LAND-SURFACE; DATA ASSIMILATION; NEAR-SURFACE; ERS SCATTEROMETER; EARTH-OBSERVATION; WETLAND DYNAMICS; RAINFALL DATA; MODEL; CLIMATE; ASCAT;
D O I
10.1016/j.rse.2020.112162
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Soil moisture observations are of broad scientific interest and practical value for a wide range of applications. The scientific community has made significant progress in estimating soil moisture from satellite-based Earth observation data, particularly in operationalizing coarse-resolution (25-50 km) soil moisture products. This review summarizes existing applications of satellite-derived soil moisture products and identifies gaps between the characteristics of currently available soil moisture products and the application requirements from various disciplines. We discuss the efforts devoted to the generation of high-resolution soil moisture products from satellite Synthetic Aperture Radar (SAR) data such as Sentinel-1 C-band backscatter observations and/or through downscaling of existing coarse-resolution microwave soil moisture products. Open issues and future opportunities of satellite-derived soil moisture are discussed, providing guidance for further development of operational soil moisture products and bridging the gap between the soil moisture user and supplier communities.
引用
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页数:15
相关论文
共 243 条
[1]   Estimating soil moisture using remote sensing data: A machine learning approach [J].
Ahmad, Sajjad ;
Kalra, Ajay ;
Stephen, Haroon .
ADVANCES IN WATER RESOURCES, 2010, 33 (01) :69-80
[2]   Hydrological Storage Length Scales Represented by Remote Sensing Estimates of Soil Moisture and Precipitation [J].
Akbar, Ruzbeh ;
Gianotti, Daniel Short ;
McColl, Kaighin A. ;
Haghighi, Erfan ;
Salvucci, Guido D. ;
Entekhabi, Dara .
WATER RESOURCES RESEARCH, 2018, 54 (03) :1476-1492
[3]   From near-surface to root-zone soil moisture using an exponential filter: an assessment of the method based on in-situ observations and model simulations [J].
Albergel, C. ;
Ruediger, C. ;
Pellarin, T. ;
Calvet, J. -C. ;
Fritz, N. ;
Froissard, F. ;
Suquia, D. ;
Petitpa, A. ;
Piguet, B. ;
Martin, E. .
HYDROLOGY AND EARTH SYSTEM SCIENCES, 2008, 12 (06) :1323-1337
[4]   Monitoring multi-decadal satellite earth observation of soil moisture products through land surface reanalyses [J].
Albergel, C. ;
Dorigo, W. ;
Balsamo, G. ;
Munoz-Sabater, J. ;
de Rosnay, P. ;
Isaksen, L. ;
Brocca, L. ;
de Jeu, R. ;
Wagner, W. .
REMOTE SENSING OF ENVIRONMENT, 2013, 138 :77-89
[5]   Sequential assimilation of satellite-derived vegetation and soil moisture products using SURFEX_v8.0: LDAS-Monde assessment over the Euro-Mediterranean area [J].
Albergel, Clement ;
Munier, Simon ;
Leroux, Delphine Jennifer ;
Dewaele, Helene ;
Fairbairn, David ;
Barbu, Alina Lavinia ;
Gelati, Emiliano ;
Dorigo, Wouter ;
Faroux, Stephanie ;
Meurey, Catherine ;
Le Moigne, Patrick ;
Decharme, Bertrand ;
Mahfouf, Jean-Francois ;
Calvet, Jean-Christophe .
GEOSCIENTIFIC MODEL DEVELOPMENT, 2017, 10 (10) :3889-3912
[6]   Evaluation of remotely sensed and modelled soil moisture products using global ground-based in situ observations [J].
Albergel, Clement ;
de Rosnay, Patricia ;
Gruhier, Claire ;
Munoz-Sabater, Joaquin ;
Hasenauer, Stefan ;
Isaksen, Lars ;
Kerr, Yann ;
Wagner, Wolfgang .
REMOTE SENSING OF ENVIRONMENT, 2012, 118 :215-226
[7]   Studying gaugino mass unification at the LHC [J].
Altunkaynak, Baris ;
Grajek, Phillip ;
Holmes, Michael ;
Kane, Gordon ;
Nelson, Brent D. .
JOURNAL OF HIGH ENERGY PHYSICS, 2009, (04)
[8]   Improving operational flood ensemble prediction by the assimilation of satellite soil moisture: comparison between lumped and semi-distributed schemes [J].
Alvarez-Garreton, C. ;
Ryu, D. ;
Western, A. W. ;
Su, C. -H. ;
Crow, W. T. ;
Robertson, D. E. ;
Leahy, C. .
HYDROLOGY AND EARTH SYSTEM SCIENCES, 2015, 19 (04) :1659-1676
[9]   Towards an integrated soil moisture drought monitor for East Africa [J].
Anderson, W. B. ;
Zaitchik, B. F. ;
Hain, C. R. ;
Anderson, M. C. ;
Yilmaz, M. T. ;
Mecikalski, J. ;
Schultz, L. .
HYDROLOGY AND EARTH SYSTEM SCIENCES, 2012, 16 (08) :2893-2913
[10]  
[Anonymous], 2018, REMOTE SENS, DOI DOI 10.3390/rs10071030