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Volumn 16, Issue 1, 2015, Pages 473-483

Connecting NASA science and engineering with Earth science applications

Author keywords

Agriculture; Disease; Dust or dust storms; Emergency response; Flood events; Societal impacts

Indexed keywords

AGRICULTURE; DISEASE; DUST STORM; EARTH SCIENCE; ENGINEERING; FLOOD; SCIENCE AND TECHNOLOGY; SOCIAL IMPACT;

EID: 84922895394     PISSN: 1525755X     EISSN: 15257541     Source Type: Journal    
DOI: 10.1175/JHM-D-14-0093.1     Document Type: Article
Times cited : (18)

References (21)
  • 1
    • 84884891968 scopus 로고    scopus 로고
    • Skill and global trend analysis of soil moisture from reanalyses and microwave remote sensing
    • Albergel, C., and Coauthors, 2013: Skill and global trend analysis of soil moisture from reanalyses and microwave remote sensing. J. Hydrometeor., 14, 1259-1277, doi:10.1175/JHM-D-12-0161.1.
    • (2013) J. Hydrometeor. , vol.14 , pp. 1259-1277
    • Albergel, C.1
  • 2
    • 84880306945 scopus 로고    scopus 로고
    • Feasibility of characterizing snowpack and the freezethaw state of underlying soil using multifrequency active/passive microwave data
    • Bateni, S. M., C. Huang, S. Margulis, E. Podest, and K. McDonald, 2013: Feasibility of characterizing snowpack and the freezethaw state of underlying soil using multifrequency active/passive microwave data. IEEE Trans. Geosci. Remote Sens., 51, 4085-4102, doi:10.1109/TGRS.2012.2229466.
    • (2013) IEEE Trans. Geosci. Remote Sens. , vol.51 , pp. 4085-4102
    • Bateni, S.M.1    Huang, C.2    Margulis, S.3    Podest, E.4    McDonald, K.5
  • 3
    • 84901701718 scopus 로고    scopus 로고
    • Soil as a natural rain gauge: Estimating global rainfall from satellite soil moisture data
    • Brocca, L., and Coauthors, 2014: Soil as a natural rain gauge: Estimating global rainfall from satellite soil moisture data. J. Geophys. Res. Atmos., 119, 5128-5141, doi:10.1002/2014JD021489.
    • (2014) J. Geophys. Res. Atmos. , vol.119 , pp. 5128-5141
    • Brocca, L.1
  • 4
    • 84891825457 scopus 로고    scopus 로고
    • Assessment of soil moisture data requirements by the potential SMAP data user community: Review of SMAP mission user community
    • Brown, M. E., and V. M. Escobar, 2014: Assessment of soil moisture data requirements by the potential SMAP data user community: Review of SMAP mission user community. IEEE J. Sel. Topics Appl. Earth Obs. Remote Sens., 7, 277-283, doi:10.1109/JSTARS.2013.2261473.
    • (2014) IEEE J. Sel. Topics Appl. Earth Obs. Remote Sens. , vol.7 , pp. 277-283
    • Brown, M.E.1    Escobar, V.M.2
  • 6
    • 84922849825 scopus 로고    scopus 로고
    • Monitoring agricultural risk in Canada using L-band passive microwave soil moisture from SMOS
    • in press
    • Champagne, C., A. M. Davison, P. Cherneski, J. L'Heureux, and T. Hadwen, 2015: Monitoring agricultural risk in Canada using L-band passive microwave soil moisture from SMOS. J. Hydrometeor., doi:10.1175/JHM-D-14-0039.1, in press.
    • (2015) J. Hydrometeor.
    • Champagne, C.1    Davison, A.M.2    Cherneski, P.3    L'Heureux, J.4    Hadwen, T.5
  • 7
    • 84907450702 scopus 로고    scopus 로고
    • Dual forcing and state correction via soil moisture assimilation for improved rainfallrunoff modeling
    • Chen, F., W. T. Crow, and D. Ryu, 2014: Dual forcing and state correction via soil moisture assimilation for improved rainfallrunoff modeling. J. Hydrometeor., 15, 1832-1848, doi:10.1175/JHM-D-14-0002.1.
    • (2014) J. Hydrometeor. , vol.15 , pp. 1832-1848
    • Chen, F.1    Crow, W.T.2    Ryu, D.3
  • 8
    • 77952212845 scopus 로고    scopus 로고
    • The Soil Moisture Active and Passive (SMAP) Mission
    • Entekhabi, D., and Coauthors, 2010: The Soil Moisture Active and Passive (SMAP) Mission. Proc. IEEE, 98, 704-716, doi:10.1109/JPROC.2010.2043918.
    • (2010) Proc. IEEE , vol.98 , pp. 704-716
    • Entekhabi, D.1
  • 9
    • 84922936894 scopus 로고    scopus 로고
    • Ingestion of simulated SMAP L3 soil moisture data into military maneuver planning
    • in press
    • Frankenstein, S., C. Scott, and M. Stevens, 2015: Ingestion of simulated SMAP L3 soil moisture data into military maneuver planning. J. Hydrometeor., doi:10.1175/JHM-D-14-0032.1, in press.
    • (2015) J. Hydrometeor.
    • Frankenstein, S.1    Scott, C.2    Stevens, M.3
  • 10
    • 84922950540 scopus 로고    scopus 로고
    • Impact of varying storm intensity and consecutive dry days on grassland soil moisture
    • in press
    • Hottenstein, J. D., G. E. Ponce-Campos, J. M. Yanes, and M. S. Moran, 2015: Impact of varying storm intensity and consecutive dry days on grassland soil moisture. J. Hydrometeor., doi:10.1175/JHM-D-14-0057.1, in press.
    • (2015) J. Hydrometeor.
    • Hottenstein, J.D.1    Ponce-campos, G.E.2    Yanes, J.M.3    Moran, M.S.4
  • 11
    • 84882641525 scopus 로고    scopus 로고
    • Assimilation of remotely sensed soil moisture and vegetation with a crop simulation model for maize yield prediction
    • Ines, A. V. M., N. Das, J. W. Hansen, and E. G. Njoku, 2013: Assimilation of remotely sensed soil moisture and vegetation with a crop simulation model for maize yield prediction. Remote Sens. Environ., 138, 149-164, doi:10.1016/j.rse.2013.07.018.
    • (2013) Remote Sens. Environ. , vol.138 , pp. 149-164
    • Ines, A.V.M.1    Das, N.2    Hansen, J.W.3    Njoku, E.G.4
  • 12
    • 84865406893 scopus 로고    scopus 로고
    • The next Landsat satellite: The Landsat Data Continuity Mission
    • Irons, J. R., J. L. Dwyer, and J. A. Barsi, 2012: The next Landsat satellite: The Landsat Data Continuity Mission. Remote Sens. Environ., 122, 11-21, doi:10.1016/j.rse.2011.08.026.
    • (2012) Remote Sens. Environ. , vol.122 , pp. 11-21
    • Irons, J.R.1    Dwyer, J.L.2    Barsi, J.A.3
  • 13
    • 84894051126 scopus 로고    scopus 로고
    • Soil moisture initialization error and subgrid variability of precipitation in seasonal streamflow forecasting
    • Koster, R. D., G. K. Walker, S. P. P. Mahanama, and R. H. Reichle, 2014: Soil moisture initialization error and subgrid variability of precipitation in seasonal streamflow forecasting. J. Hydrometeor., 15, 69-88, doi:10.1175/JHM-D-13-050.1.
    • (2014) J. Hydrometeor. , vol.15 , pp. 69-88
    • Koster, R.D.1    Walker, G.K.2    Mahanama, S.P.P.3    Reichle, R.H.4
  • 14
    • 84915821085 scopus 로고    scopus 로고
    • Assessing the impact of L-band observations on drought and flood risk estimation: A decisiontheoretic approach in an OSSE environment
    • Kumar, S. V., K. W. Harrison, C. D. Peters-Lidard, J. A. Santanello, and D. Kirschbaum, 2014a: Assessing the impact of L-band observations on drought and flood risk estimation: A decisiontheoretic approach in an OSSE environment. J. Hydrometeor., 15, 2140-2156, doi:10.1175/JHM-D-13-0204.1.
    • (2014) J. Hydrometeor. , vol.15 , pp. 2140-2156
    • Kumar, S.V.1    Harrison, K.W.2    Peters-lidard, C.D.3    Santanello, J.A.4    Kirschbaum, D.5
  • 15
    • 84915819156 scopus 로고    scopus 로고
    • Assimilation of remotely sensed soil moisture and snow depth retrievals for drought estimation
    • Kumar, S. V., and Coauthors, 2014b: Assimilation of remotely sensed soil moisture and snow depth retrievals for drought estimation. J. Hydrometeor., 15, 2446-2469, doi:10.1175/JHM-D-13-0132.1.
    • (2014) J. Hydrometeor. , vol.15 , pp. 2446-2469
    • Kumar, S.V.1
  • 16
    • 84871974677 scopus 로고    scopus 로고
    • Canadian experiment for soil moisture in 2010: Overview and preliminary results
    • Magagi, R., and Coauthors, 2013: Canadian experiment for soil moisture in 2010: Overview and preliminary results. IEEE Trans. Geosci. Remote Sens., 51, 347-363, doi:10.1109/TGRS.2012.2198920.
    • (2013) IEEE Trans. Geosci. Remote Sens. , vol.51 , pp. 347-363
    • Magagi, R.1
  • 17
    • 84921053659 scopus 로고    scopus 로고
    • The Soil Moisture Active Passive Validation Experiment 2012 (SMAPVEX12): Prelaunch calibration and validation of the SMAP soil moisture algorithms
    • McNairn, H., and Coauthors, 2015: The Soil Moisture Active Passive Validation Experiment 2012 (SMAPVEX12): Prelaunch calibration and validation of the SMAP soil moisture algorithms. IEEE Trans. Geosci. Remote Sens., 53, 2784-2801, doi:10.1109/TGRS.2014.2364913.
    • (2015) IEEE Trans. Geosci. Remote Sens. , vol.53 , pp. 2784-2801
    • McNairn, H.1
  • 18
    • 84922947403 scopus 로고    scopus 로고
    • Calculating crop water requirement satisfaction in the West Africa Sahel with remotely sensed soil moisture
    • in press
    • McNally, A., and Coauthors, 2015: Calculating crop water requirement satisfaction in the West Africa Sahel with remotely sensed soil moisture. J. Hydrometeor., doi:10.1175/JHM-D-14-0049.1, in press.
    • (2015) J. Hydrometeor.
    • McNally, A.1
  • 19
    • 84928576423 scopus 로고    scopus 로고
    • Anatomy of a localscale drought: Application of assimilated remote sensing products, crop model, and statistical methods to an agricultural drought
    • in press
    • Mishra, A. K., I. V. M. Amor, N. N. Das, C. P. Khedun, V. P. Singh, B. Sivakumar, and J. W. Hansen, 2015: Anatomy of a localscale drought: Application of assimilated remote sensing products, crop model, and statistical methods to an agricultural drought. J. Hydrol., doi:10.1016/j.jhydrol.2014.10.038, in press.
    • (2015) J. Hydrol.
    • Mishra, A.K.1    Amor, I.V.M.2    Das, N.N.3    Khedun, C.P.4    Singh, V.P.5    Sivakumar, B.6    Hansen, J.W.7
  • 21
    • 84919921841 scopus 로고    scopus 로고
    • Continental satellite soil moisture data assimilation improves root-zone moisture analysis for water resources assessment
    • Renzullo, L. J., A. V. Dijk, J.-M. Perraud, D. Collins, B. Henderson, H. Jin, A. B. Smith, and D. L. McJannet, 2014: Continental satellite soil moisture data assimilation improves root-zone moisture analysis for water resources assessment. J. Hydrol., 519, 2747-2762, doi:10.1016/j.jhydrol.2014.08.008.
    • (2014) J. Hydrol. , vol.519 , pp. 2747-2762
    • Renzullo, L.J.1    Dijk, A.V.2    Perraud, J.-M.3    Collins, D.4    Henderson, B.5    Jin, H.6    Smith, A.B.7    McJannet, D.L.8


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.