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Soil Moisture Estimation From Remotely Sensed Hyperspectral Data
Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.orgCitation: Paper number 031047, 2003 ASAE Annual Meeting . (doi: 10.13031/2013.13717) @2003
Authors: Amy L. Kaleita, Lei Tian, Haibo Yao
Keywords: Soil moisture, Remote sensing, Spectrophotometry, Precision Agriculture
A methodology for mapping surface soil moisture content across an agricultural field from optical remote sensing and ground sampling is developed. This study uses both ground-based and remotely sensed spectral measurements of soil reflectance in visible and near-infrared wavelengths and concurrent measurements of volumetric soil moisture within the top 6 cm. After determining appropriate wavelengths for soil moisture estimation from spectral reflectance, a cokriging scheme was used to generate soil moisture maps. Results indicate that combining reflectance and ground measurements can yield more detailed maps of soil moisture than ground measurement alone.(Download PDF) (Export to EndNotes)