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Integration of GIS, Geostatistics, and 3-D Technology to Assess the Spatial Distribution of Soil MoistureThe spatial and temporal distribution of near surface soil moisture is of fundamental importance to many physical, biological, biogeochemical, and hydrological processes. However, knowledge of these space-time dynamics and the processes which control them remains unclear. The integration of geographic information systems (GIS) and geostatistics together promise a simple mechanism to evaluate and display the spatial and temporal distribution of this vital hydrologic and physical variable. Therefore, this research demonstrates the use of geostatistics and GIS to predict and display soil moisture distribution under vegetated and non-vegetated plots. The research was conducted at the Winfred Thomas Agricultural Experiment Station (WTAES), Hazel Green, Alabama. Soil moisture measurement were done on a 10 by 10 m grid from tall fescue grass (GR), alfalfa (AA), bare rough (BR), and bare smooth (BS) plots. Results indicated that variance associated with soil moisture was higher for vegetated plots than non-vegetated plots. The presence of vegetation in general contributed to the spatial variability of soil moisture. Integration of geostatistics and GIS can improve the productivity of farm lands and the precision of farming.
Document ID
20000032328
Acquisition Source
Headquarters
Document Type
Conference Paper
Authors
Betts, M.
(Alabama A & M Univ. Normal, AL United States)
Tsegaye, T.
(Alabama A & M Univ. Normal, AL United States)
Tadesse, W.
(Alabama A & M Univ. Normal, AL United States)
Coleman, T. L.
(Alabama A & M Univ. Normal, AL United States)
Fahsi, A.
(Alabama A & M Univ. Normal, AL United States)
Date Acquired
August 19, 2013
Publication Date
February 22, 1998
Publication Information
Publication: NASA University Research Centers Technical Advances in Aeronautics, Space Sciences and Technology, Earth Systems Sciences, Global Hydrology, and Education
Volume: 2 and 3
Subject Category
Earth Resources And Remote Sensing
Report/Patent Number
98URC162
Funding Number(s)
CONTRACT_GRANT: NCC8-140
CONTRACT_GRANT: NCCW-84
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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