caa a22 4500 44586429X CHVBK 20180317145453.0 cr unu---uuuuu 170323e20110201xx s 000 0 eng 10.1007/s11119-010-9158-5 doi (NATIONALLICENCE)springer-10.1007/s11119-010-9158-5 Estimation of surface soil organic matter using a ground-based active sensor and aerial imagery [Elektronische Daten] [D. Roberts, V. Adamchuk, J. Shanahan, R. Ferguson, J. Schepers] Active canopy sensors are currently being studied as a tool to assess crop N status and direct in-season N applications. The objective of this study was to use a variety of strategies to evaluate the capability of an active sensor and a wide-band aerial image to estimate surface soil organic matter (OM). Grid soil samples, active sensor reflectance and bare soil aerial images were obtained from six fields in central Nebraska before the 2007 and 2008 growing seasons. Six different strategies to predict OM were developed and tested by dividing samples randomly into calibration and validation datasets. Strategies included uniform, interpolation, universal, field-specific, intercept-adjusted and multiple-layer prediction models. By adjusting regression intercept values for each field, OM was predicted using a single sensor or image data layer. Across all fields, the uniform and universal prediction models resulted in less accurate predictions of OM than any of the other methods tested. The most accurate predictions of OM were obtained using interpolation, field-specific and intercept-adjusted strategies. Increased accuracy in mapping soil OM using an active sensor or aerial image may be achieved by acquiring the data when there is minimal surface residue or where it has been excluded from the sensor's field-of-view. Alternatively, accuracy could be increased by accounting for soil moisture content with supplementary sensors at the time of data collection, by focusing on the relationship between soil reflectance and soil OM content in the 0-1cm soil depth or through the use of a subsurface active optical sensor. Springer Science+Business Media, LLC, 2010 Near-infrared (NIR) nationallicence Visible (VIS) nationallicence Root mean squared error (RMSE) nationallicence Mean absolute error (MAE) nationallicence Organic matter (OM) nationallicence Roberts D. Department of Plant and Soil Sciences, Mississippi State University, 117 Dorman Hall, 39762, Mississippi State, MS, USA aut Adamchuk V. Department of Biological Systems Engineering, University of Nebraska-Lincoln, 203 L.W. Chase Hall, 68583, Lincoln, NE, USA aut Shanahan J. USDA-ARS, Agroecosystem Management Research Unit, 112 USDA National Agroforestry Center, 68583, Lincoln, NE, USA aut Ferguson R. Department of Agronomy and Horticulture, University of Nebraska-Lincoln, 377 Plant Science, 68583, Lincoln, NE, USA aut Schepers J. USDA-ARS, Agroecosystem Management Research Unit, 112 USDA National Agroforestry Center, 68583, Lincoln, NE, USA aut Precision Agriculture Springer US; http://www.springer-ny.com 12/1(2011-02-01), 82-102 1385-2256 12:1<82 2011 12 11119 https://doi.org/10.1007/s11119-010-9158-5 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11119-010-9158-5 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Roberts D. Department of Plant and Soil Sciences, Mississippi State University, 117 Dorman Hall, 39762, Mississippi State, MS, USA aut NATIONALLICENCE 700 1- Adamchuk V. Department of Biological Systems Engineering, University of Nebraska-Lincoln, 203 L.W. Chase Hall, 68583, Lincoln, NE, USA aut NATIONALLICENCE 700 1- Shanahan J. USDA-ARS, Agroecosystem Management Research Unit, 112 USDA National Agroforestry Center, 68583, Lincoln, NE, USA aut NATIONALLICENCE 700 1- Ferguson R. Department of Agronomy and Horticulture, University of Nebraska-Lincoln, 377 Plant Science, 68583, Lincoln, NE, USA aut NATIONALLICENCE 700 1- Schepers J. USDA-ARS, Agroecosystem Management Research Unit, 112 USDA National Agroforestry Center, 68583, Lincoln, NE, USA aut NATIONALLICENCE 773 0- Precision Agriculture Springer US; http://www.springer-ny.com 12/1(2011-02-01), 82-102 1385-2256 12:1<82 2011 12 11119 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer