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Funding from
United States Department of Agriculture (USDA)
S3dtool: A Novel Satellite-Based Soil Sampling Design Tool For Site-Specific Management Using Historical Crop Spectral Variability And Auxiliary
PI: Vitor Martins, Mississippi State University (MSU)
Co-PIs: Nuwan Wijewardane, Xin Zhang (MSU)
Research Fellow: Lucas Borges Ferreira (MSU)
​Overview:
Soil sampling is a key practice for gathering field-specific data that supports decisions in soil health assessment and management. Successful stratified sampling design relies on the amount and quality of the preliminary data to determine the management zones. This research project will develop and validate a new operational large-area Satellite-based Soil Sampling Design Tool (S3DTool) using historical crop variability analysis and auxiliary data at field-scale. The outcomes will contribute to soil health and agricultural sustainability by promoting a robust, validated, timely and significant tool that can enhance soil assessment and management decisions and increase the economic feasibility of soil testing in heterogeneous areas.
Tasks:
(1) Generate multi-temporal composites of spectral vegetation index from 10-m Sentinel-2 MSI for sub-field crop variability analysis;
(2) Extract crop fields from 1-m NAIP imagery using automated deep learning algorithm;
(3) Develop a S3DTool algorithm to efficiently derive site-specific management zones; and
(4) Demonstrate and validate the S3DTool in Mississippi State University Farms.
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