The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Measuring soil moisture content non‐invasively at intermediate spatial scale using cosmic‐ray neutrons
Abstract
Soil moisture content on a horizontal scale of hectometers and at depths of decimeters can be inferred from measurements of low‐energy cosmic‐ray neutrons that are generated within soil, moderated mainly by hydrogen atoms, and diffused back to the atmosphere. These neutrons are sensitive to water content changes, but largely insensitive to variations in soil chemistry, and their intensity above the surface is inversely correlated with hydrogen content of the soil. The measurement with a portable neutron detector placed a few meters above the ground takes minutes to hours, permitting high‐resolution, long‐term monitoring of undisturbed soil moisture conditions. The large footprint makes the method suitable for weather and short‐term climate forecast initialization and for calibration of satellite sensors, and the measurement depth makes the probe ideal for studies of plant/soil interaction and atmosphere/soil exchange.
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Cites
Radiation Detection and Measurement
(2013) · Physics for Radiation Protection · doi:10.1002/9783527667062.ch12 · Cited by 6,776
Regions of Strong Coupling Between Soil Moisture and Precipitation
Koster, R. D., Dirmeyer, P. A., Guo, Z., Bonan, G., Chan, E., Cox, P., Gordon, C. T., Kanae, S., Kowalczyk, E., Lawrence, D., et al. (2004) · Science · doi:10.1126/science.1100217 · Cited by 2,872
Field observations of soil moisture variability across scales
Famiglietti, J. S., Ryu, D., Berg, A. A., Rodell, M., & Jackson, T. J. (2008) · Water Resources Research · doi:10.1029/2006wr005804 · Cited by 606
Scaling of Soil Moisture: A Hydrologic Perspective
Western, A. W., Grayson, R. B., & Blöschl, G. (2002) · Annual Review of Earth and Planetary Sciences · doi:10.1146/annurev.earth.30.091201.140434 · Cited by 552
Temporal and spatial scales of observed soil moisture variations in the extratropics
Entin, J. K., Robock, A., Vinnikov, K. Y., Hollinger, S. E., Liu, S., & Namkhai, A. (2000) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2000jd900051 · Cited by 527
Ecohydrology of Water‐Controlled Ecosystems: Soil Moisture and Plant Dynamics
Williams, D. G. (2005) · Eos · doi:10.1029/2005eo380008 · Cited by 423
The Elements of Nuclear Reactor Theory
Glasstone, S., Edlund, M. C., Beck, C., & Murray, R. L. (1953) · American Journal of Physics · doi:10.1119/1.1933473 · Cited by 414
Famiglietti, J. S., Devereaux, J. A., Laymon, C. A., et al. (1999) · Water Resources Research · doi:10.1029/1999wr900047 · Cited by 413
Desilets, D., & Zreda, M. (2003) · Earth and Planetary Science Letters · doi:10.1016/s0012-821x(02)01088-9 · Cited by 269
Self-citationSCOTT, R. L., HUXMAN, T. E., WILLIAMS, D. G., & GOODRICH, D. C. (2006) · Global Change Biology · doi:10.1111/j.1365-2486.2005.01093.x · Cited by 250
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On the Spatio-Temporal Dynamics of Soil Moisture at the Field Scale
Vereecken, H., Huisman, J. A., Pachepsky, Y., Montzka, C., van der Kruk, J., Bogena, H., Weihermüller, L., Herbst, M., Martinez, G., & Vanderborght, J. (2014) · Journal of Hydrology · doi:10.1016/j.jhydrol.2013.11.061 · Cited by 584
Cosmogenic Nuclides: Principles, Concepts and Applications in the Earth Surface Sciences
Dunai, T. J. (2010) · Cambridge University Press eBooks · doi:10.1017/cbo9780511804519 · Cited by 451
Beck, H. E., Pan, M., Miralles, D. G., Reichle, R. H., Dorigo, W. A., Hahn, S., Sheffield, J., Karthikeyan, L., Balsamo, G., Parinussa, R. M., et al. (2021) · Hydrology and Earth System Sciences · doi:10.5194/hess-25-17-2021 · Cited by 380
Metadata
- Authors
- Zreda, M., Desilets, D., Ferré, T. P. A., & Scott, R. L.
- Venue
- Geophysical Research Letters
- Publisher
- American Geophysical Union (AGU)
- Published
- 2008-11
- Volume
- 35
- Issue
- 21
- ISSN
- 0094-8276 (ISSN-L)
- 1944-8007
- OpenAlex
- W2133747006
- Cited by
- 594
- References
- 14
- FWCI
- 7.78
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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