**AWARDS ISSUED PRIOR TO JANUARY 20, 2025, WERE FUNDED UNDER PREVIOUS ADMINISTRATIONS AND MAY NOT REFLECT THE PRIORITIES AND POLICIES OF THE CURRENT ADMINISTRATION.** 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, BUT THIS SITE-SPECIFIC INFORMATION IS DIFFICULT AND COSTLY TO ACQUIRE, AND SPATIALLY LIMITED OVER TIME, ESPECIALLY FOR SMALL AND MEDIUM-SIZED FARMERS. THERE IS A CRITICAL NEED FOR AN INNOVATIVE, SCIENCE-DRIVEN, AND EASY-TO-USE DECISION TOOL TO SUPPORT SOIL SAMPLING PLANS. 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 PROPOSED RESEARCH WILL INCLUDE FOUR 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. PROJECT DELIVERABLES ARE THE ANNUAL 10-M CROP PEAK GROWTH COMPOSITE DATABASE FOR SUB-FIELD VARIABILITY ANALYSIS; HIGH-RESOLUTION QUALITY-CONTROLLED FIELD BOUNDARIES DATABASE; A VALIDATED SOIL SAMPLING DESIGN TOOL THAT PROVIDES OPERATIONAL ZONE MANAGEMENT DELINEATION; AND DISTRIBUTION OF COLLECTED SOIL ANALYSIS RESULTS IN DIFFERENT SOIL CONDITIONS. THESE PROPOSAL OUTCOMES WILL CONTRIBUTE FOR 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.