FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W1484907367> ?p ?o ?g. }

• W1484907367 abstract "[1] Understanding of near‐surface soil moisture variability at different spatial scales and associated dominant physical controls is limited. In the past, soil moisture dynamics studies have been conducted extensively at different spatial scales using both in situ and remote sensing (RS) data in the subhumid Southern Great Plains region, which has mostly pasture and range land cover with rolling topography. Compared to the past efforts, we investigated the space‐time characterization of near‐surface soil moisture and associated physical controls at multiple scales (field, watershed, and region) in a humid hydroclimatic region with different topography and agricultural land cover. Soil moisture data from two different measurement support scales (theta probe based (point scale) and airborne RS derived; footprint scale, 800 m × 800 m), obtained during the Soil Moisture Experiment 2002 (SMEX02) in Iowa were used. Geostatistical analysis showed the spatial soil moisture correlation lengths varied between 78 m and 307 m (at the field scale), 2044 m and 11,882 m (at the watershed scale), and 19,500 m and 118,500 m (at the regional scale). The correlation length values were usually smaller on wet days than the relatively dry days at the field and watershed scales. The trend was opposite at the regional scale with correlation lengths being larger on wet days. Furthermore, the soil moisture data sets were decomposed into spatial Empirical Orthogonal Function (EOF) patterns, and their relationship with various geophysical parameters (rainfall, topography, soil texture, and vegetation) was examined to determine the dominant control on the near‐surface soil moisture variability. At the field scale, the first four EOFs together explained about 81% of the total variability. At the watershed scale, the first two EOFs were dominant explaining about 93% of the total variance, whereas at the regional scale, the primary EOF itself explained more than 70% of the variance. In other words, the complicated dynamics of near‐surface soil moisture fields can be described by a few underlying orthogonal spatial structures related to the geophysical attributes of the region. Correlation analysis of the RS soil moisture data showed that rainfall, topography, and soil texture have mixed effects on the variability explained by the dominant EOFs, at both watershed and regional scales, with limited influence of vegetation parameters. The effect of rainfall on the soil moisture variability is higher at the watershed scale compared to the regional scale in Iowa." @default.
• W1484907367 created "2016-06-24" @default.
• W1484907367 creator A5060650862 @default.
• W1484907367 creator A5086558948 @default.
• W1484907367 date "2010-12-01" @default.
• W1484907367 modified "2023-10-18" @default.
• W1484907367 title "Physical controls of near-surface soil moisture across varying spatial scales in an agricultural landscape during SMEX02" @default.
• W1484907367 cites W1711571920 @default.
• W1484907367 cites W1964364466 @default.
• W1484907367 cites W1975288608 @default.
• W1484907367 cites W1976252175 @default.
• W1484907367 cites W1977109485 @default.
• W1484907367 cites W1980729877 @default.
• W1484907367 cites W1984058115 @default.
• W1484907367 cites W1992915257 @default.
• W1484907367 cites W1995167593 @default.
• W1484907367 cites W1998011195 @default.
• W1484907367 cites W1998969932 @default.
• W1484907367 cites W1999247378 @default.
• W1484907367 cites W2003545648 @default.
• W1484907367 cites W2003969668 @default.
• W1484907367 cites W2009086421 @default.
• W1484907367 cites W2032929107 @default.
• W1484907367 cites W2036402193 @default.
• W1484907367 cites W2036890196 @default.
• W1484907367 cites W2040277598 @default.
• W1484907367 cites W2051026893 @default.
• W1484907367 cites W2052766960 @default.
• W1484907367 cites W2053179242 @default.
• W1484907367 cites W2060263496 @default.
• W1484907367 cites W2060560626 @default.
• W1484907367 cites W2061098526 @default.
• W1484907367 cites W2063570561 @default.
• W1484907367 cites W2065833813 @default.
• W1484907367 cites W2067386493 @default.
• W1484907367 cites W2067426984 @default.
• W1484907367 cites W2067825923 @default.
• W1484907367 cites W2072903702 @default.
• W1484907367 cites W2076135671 @default.
• W1484907367 cites W2076759483 @default.
• W1484907367 cites W2086891831 @default.
• W1484907367 cites W2090693710 @default.
• W1484907367 cites W2095602547 @default.
• W1484907367 cites W2100401723 @default.
• W1484907367 cites W2114569030 @default.
• W1484907367 cites W2121435998 @default.
• W1484907367 cites W2130083518 @default.
• W1484907367 cites W2147641734 @default.
• W1484907367 cites W2161071907 @default.
• W1484907367 cites W2162123554 @default.
• W1484907367 cites W2172823650 @default.
• W1484907367 cites W4229875153 @default.
• W1484907367 doi "https://doi.org/10.1029/2010wr009152" @default.
• W1484907367 hasPublicationYear "2010" @default.
• W1484907367 type Work @default.
• W1484907367 sameAs 1484907367 @default.
• W1484907367 citedByCount "94" @default.
• W1484907367 countsByYear W14849073672012 @default.
• W1484907367 countsByYear W14849073672013 @default.
• W1484907367 countsByYear W14849073672014 @default.
• W1484907367 countsByYear W14849073672015 @default.
• W1484907367 countsByYear W14849073672016 @default.
• W1484907367 countsByYear W14849073672017 @default.
• W1484907367 countsByYear W14849073672018 @default.
• W1484907367 countsByYear W14849073672019 @default.
• W1484907367 countsByYear W14849073672020 @default.
• W1484907367 countsByYear W14849073672021 @default.
• W1484907367 countsByYear W14849073672022 @default.
• W1484907367 countsByYear W14849073672023 @default.
• W1484907367 crossrefType "journal-article" @default.
• W1484907367 hasAuthorship W1484907367A5060650862 @default.
• W1484907367 hasAuthorship W1484907367A5086558948 @default.
• W1484907367 hasBestOaLocation W14849073671 @default.
• W1484907367 hasConcept C105795698 @default.
• W1484907367 hasConcept C118518473 @default.
• W1484907367 hasConcept C127313418 @default.
• W1484907367 hasConcept C153294291 @default.
• W1484907367 hasConcept C159390177 @default.
• W1484907367 hasConcept C159750122 @default.
• W1484907367 hasConcept C166957645 @default.
• W1484907367 hasConcept C176864760 @default.
• W1484907367 hasConcept C187320778 @default.
• W1484907367 hasConcept C205649164 @default.
• W1484907367 hasConcept C24939127 @default.
• W1484907367 hasConcept C2524010 @default.
• W1484907367 hasConcept C2776799497 @default.
• W1484907367 hasConcept C2778755073 @default.
• W1484907367 hasConcept C33923547 @default.
• W1484907367 hasConcept C39432304 @default.
• W1484907367 hasConcept C58640448 @default.
• W1484907367 hasConcept C76886044 @default.
• W1484907367 hasConcept C94747663 @default.
• W1484907367 hasConceptScore W1484907367C105795698 @default.
• W1484907367 hasConceptScore W1484907367C118518473 @default.
• W1484907367 hasConceptScore W1484907367C127313418 @default.
• W1484907367 hasConceptScore W1484907367C153294291 @default.
• W1484907367 hasConceptScore W1484907367C159390177 @default.
• W1484907367 hasConceptScore W1484907367C159750122 @default.
• W1484907367 hasConceptScore W1484907367C166957645 @default.
• W1484907367 hasConceptScore W1484907367C176864760 @default.

• next