A Dataset from a Test-bed to Develop Soil Moisture Estimation Technology for Upland Fields
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Kang, Minseok
(National Center for AgroMeteorology)
Cho, Sungsik (National Center for AgroMeteorology) Kim, Jongho (National Center for AgroMeteorology) Sohn, Seung-Won (National Center for AgroMeteorology) Choi, Sung-Won (National Center for AgroMeteorology) Park, Juhan (National Center for AgroMeteorology) |
1 | Desilets, D., 2017: Calibrating a non-invasive cosmic ray soil moisture probe for snow water equivalent. Hydroinnova Technical Document 17-01. |
2 | Desilets, D., M. Zreda, and T. P. A. Ferre, 2010: Nature's neutron probe: Land surface hydrology at an elusive scale with cosmic rays. Water Resources Research 46, DOI: 10.1029/2009WR008726. |
3 | Dorigo, W. A., A. Xaver, M. Vreugdenhil, A. Gruber, A. Hegyiova, A. D. Sanchis-Dufau, D. Zamojski, C. Cordes, W. Wagner, and M. Drusch, 2013: Global automated quality control of in situ soil moisture data from the International Soil Moisture Network. Vadose Zone Journal 12(3), vzj20120097. DOI |
4 | Hong, J., H. Kwon, J. Lim, Y. Byun, J. Lee, and J. Kim, 2009: Standardization of KoFlux eddy covariance data processing. Korean Journal of Agricultural Forest Meteorology 11, 19-26. (in Korean with English abstract) DOI |
5 | Kang, M., J. Kim, S.-H. Lee, J. Kim, J.-H. Chun, and S. Cho, 2018: Changes and Improvements of the Standardized Eddy Covariance Data Processing in KoFlux. Korean Journal of Agricultural and Forest Meteorology 20, 5-17. (in Korean with English abstract) DOI |
6 | Kim, H., W. Sunwoo, S. Kim, and M. Choi, 2016: Construction and estimation of soil moisture site with FDR and COSMIC-ray (SM-FC) sensors for calibration/validation of satellite-based and COSMIC-ray soil moisture products in Sungkyunkwan university, South Korea. Journal of Korea Water Resources Association 49(2), 133-144. (in Korean with English abstract) DOI |
7 | Kim, J., Y. Ryu, C. Jiang, and Y. Hwang, 2019: Continuous observation of vegetation canopy dynamics using an integrated low-cost, near-surface remote sensing system. Agricultural and Forest Meteorology 264, 164-177. DOI |
8 | Kim, S., J. Park, K. Kim, and M. Choi, 2015: Current status and prospect of soil moisture data from ground observation in Korea. Water for future 48(12), 16-21. (in Korean) |
9 | Richardson, A. D., S. Klosterman, and M. Toomey, 2013: Near-surface sensor-derived phenology. In Phenology: an integrative environmental science. Springer, Dordrecht, 413-430. |
10 | Rosolem, R., W. J. Shuttleworth, M. Zreda, T. E. Franz, X. Zeng, and S. A. Kurc, 2013: The effect of atmospheric water vapor on neutron count in the Cosmic-Ray soil moisture observing system. Journal of Hydrometeorology 14(5), 1659-1671. DOI |
11 | Tucker, C. J., 1979: Red and Photographic Infrared Linear Combinations for Monitoring Vegetation. Remote Sensing of Environment 8(2), 127-150. DOI |
12 | Yun, J. I., 1999: Agricultural Meteorology. Arche Publishing House, 333pp. |
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