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Soil delineation using satellite Image & machin...

Avatar for Michael Baek Michael Baek
February 10, 2017

Soil delineation using satellite Image & machine learning

Machine learning algorithms to generate fine scale soil organic matter (SOM) maps using satellite images and digital elevation model data

Avatar for Michael Baek

Michael Baek

February 10, 2017

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  1. USDA Soil Data too big of a Scale for Farms

    USDA SOIL MAP POLYGON 0.5 miles 500 feet
  2. USDA Soil Data too big of a Scale for Farms

    ML Algorithm for a Finer Scale Soil Map Deliverable USDA SOIL MAP POLYGON SATELLITE IMAGE 0.5 miles 500 feet
  3. Feature Engineering 50 ~ 60 images per location Extract Features

    7 Features: • Blue • Green • Red • Red Edge • Near Infrared • WDRVI • DEM
  4. Generating Finer Soil Maps K-MEANS CLUSTERING color = cluster #

    Spatial Variability based on Image Brightness & Elevation Data
  5. Generating Finer Soil Maps K-MEANS CLUSTERING color = cluster #

    color = soil organic matter (in %) SOM (%) USDA ORIGINAL K-Means captures more variability than USDA
  6. Generating Finer Soil Maps K-MEANS CLUSTERING color = cluster #

    color = soil organic matter (in %) SOM (%) USDA ORIGINAL K-Means captures more variability than USDA N O T Q U A N TITATIVE
  7. Farmers ~$300,000 $10/acre NEW SOIL MAP Save Farmers Thousands in

    Overhead Costs Deliverable: Algorithm For Improved Soil Map
  8. Seungjin (Michael) Baek Ph.D. in Civil & Environmental Engineering -

    Environmental Fluid Mechanics Consulting engineer past 10 years