2026-09-18T20:16:10Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/86052 2023-07-11 col_2142_5131 col_2142_14847 com_2142_5130 com_2142_683 com_2142_397

Michael C. Hirschi Kaleita, Amy Leigh 2015-09-28T14:53:46Z 2015-09-28T14:53:46Z 10000-01-01 2003 2003 Spectral reflectance data were analyzed in conjunction with surface moisture data to determine the nature of the relationship between the two. For one of the fields, the strongest relationship between reflectance and surface moisture was between 550 and 620 nm. For the other, the strongest relationship was around 945 nm. Finally, a combination of spectral data and limited moisture data was used to create moisture maps. Use of a cokriging technique generated more detailed soil moisture maps than the limited data alone. This method shows potential for development as part of a data fusion technique to generate moisture maps from a minimum of samples. Made available in DSpace on 2015-09-28T14:53:46Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 3101878.pdf: 6506247 bytes, checksum: 7d207fe9a573f4b0a4ed08fcba40245a (MD5) Previous issue date: 2003 Embargo set by: Seth Robbins for item 87333 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs U of I Only 166 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2003. http://hdl.handle.net/2142/86052 (MiAaPQ)AAI3101878 eng Remote Sensing Soil Moisture Estimation From Soil Spectral Characteristics in a Precision Farming Environment text Agricultural Engineering Agricultural Engineering University of Illinois at Urbana-Champaign Dissertation Ph.D.