Mapping Tillage Practices Using Spatial Information Techniques
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Mapping Tillage Practices Using Spatial Information Techniques Vincent de Paul Obade1 Charles Gaya2 ●
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Received: 14 February 2020 / Accepted: 9 July 2020 © Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract Monitoring tillage practices is important for explaining soil quality and yield trends, and their impact on environmental quality. However, a common problem in sustainable residue management is scarcity of accurate residue maps. Because predictive insights on soil quality dynamics across a spatial domain are vital, this entry explicates on a new remote sensing-based technique for assessing surface residue cover. Here, an empirical model for mapping surface residue cover was created by integrating linetransect % residue cover field measurements with information gleaned from ground spectroradiometers and Advanced WideField Sensor (AWiFS) satellite imagery. This map was validated using non-photosynthetic vegetation (NPV) fractional component extracted by spectral mixture analysis (SMA). SMA extracts fractional components of sensed signals in imagery, which within agricultural fields are NPV, green vegetation, bare soil, and shade. A stepwise linear regression between residue estimates by line transect and map generated using satellite imagery had R2 = 87%. Upon map categorization according to surface residue for a single AWiFS imagery encompassing an area of 836,868 ha, but focused on corn (Zea mays) fields within South Dakota, revealed that 15% surface residue cover left in the field by November 2009. Findings such as these may guide policy on soil quality, which is directly correlated with residue management. In the future, the spatial distribution of surface residues remaining after harvest in field planted with other crops and other seasons will be mapped. Besides, the efficacy of integrating hyperspectral sensor data to enhance accuracy will be investigated. Keywords Feature separability Predictive mapping Monitoring Crop residue Spectral mixture analysis ●
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Introduction Crop residues, plant litter, or non-photosynthetic vegetation (NPV) are sources or sinks of carbon depending on land management practiced (Davidson and Janssens 2006; Davidson et al. 2002; Fargione et al. 2008; Garnier et al. 2003). It is a common knowledge that crop residue retention
Supplementary information The online version of this article (https:// doi.org/10.1007/s00267-020-01335-z) contains supplementary material, which is available to authorized users. * Vincent de Paul Obade [email protected] 1
BioResource and Agricultural Engineering Department, Cal Poly San Luis Obispo, 1 Grand Avenue, San Diego, CA, USA
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Department of Geomatic Engineering and Geospatial Information Systems, Jomo Kenyatta University of Agriculture and Technology, Juja, Kenya
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in the field enhances soil and water quality, lessens soil degradation, and regulates the soil microclimate (Bannari et al. 2006; Blanco-Canqui and Lal 2009; Blanco-Canqui et al. 2006; Scharlemann and Laurance 2008; Searchinge
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