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Predict mining prospects and mineral deposits using deep learning and satellite imagery
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README.md

Mapo

About

Mapo AI is a virtual exploration assistant that manages your mineral exploration efforts. To learn more, check out the Mapo Blog Post and Mapo White Paper.

Data

The data folder contains mineral occurence datasets for:

  1. Canada > British Columbia
  2. Canada > Alberta

Canada > British Columbia

1. ARIS Mineral Assessment Report Index Dataset

ariasdata.csv and arismetadata.csv

  • Number of data records: 35,898
  • Date of last update: Unknown

2. MINFILE Mineral Occurrence Dataset

MINFILE.csv

  • Number of records: 14,817
  • Record last modified: 2018-11-27

To re-create MINFILE.csv, perform the following:

  1. Go here: http://apps.gov.bc.ca/pub/dwds/addProducts.do
  2. Search "MINFILE Mineral Occurrence Database"
  3. Click + button to add database to order
  4. Click "View Your Order" button
  5. Slect "Geographic Long/Lat (dd)" under projection drop-down menu and "CSV" under format drop-down menu
  6. Type your email address
  7. Press "I accept the Terms and Conditions"
  8. Press "Submit Order"
  9. Receive email from NRSApplications@gov.bc.ca with the subject: "Your order XXXXXXX has been assembled"
  10. Copy URL in the email body (i.e. https://apps.gov.bc.ca/pub/dwds/initiateDownload.do?orderId=XXXXXXX)
  11. Paste URL into browser to download a ZIP file
  12. Open ZIP file to extract contents
  13. Open extracted folder
  14. Open "MINFIL_MINERAL_FILE" folder
  15. Use "MINFILE.csv" for data analysis

3. Mineral Resources Data System (MRDS) Dataset

mrds.csv

  • Number of records: 244
  • Record last modified: Unknown

To re-create mrds.csv, perform the following:

  1. Go here: https://mrdata.usgs.gov/mrds/geo-inventory.php
  2. Click the "North America" link
  3. Click the "Canada" link
  4. Select "CSV" under Format menu
  5. Click "Download" button
  6. Look for "British Columbia" rows under the "state" column

Canada > Alberta

1. Metallic Mineral Occurrence Dataset

Metallic_Mineral_Occurrence.csv

  • Website
  • Number of records: 385
  • Record last modified: 2016-09-23

2. Mineral Resources Data System (MRDS) Dataset

mrds.csv

  • Number of records: 24
  • Record last modified: Unknown

To re-create mrds.csv, perform the following:

  1. Go here: https://mrdata.usgs.gov/mrds/geo-inventory.php
  2. Click the "North America" link
  3. Click the "Canada" link
  4. Select "CSV" under Format menu
  5. Click "Download" button
  6. Look for "Alberta" rows under the "state" column

Run on Local Machine

  1. Create environment using pipenv with python 3.6.*

    pipenv --python python3.6
    
  2. Enter pipenv environment

    pipenv shell
    
  3. Install packages (for development)

    pipenv install -d
    

Perform Exploratory Data Analysis (EDA)

  1. To explore the existing datasets, review the eda folder
  2. To visualize mineral occurrence data on a map, look for: Latitude, Longitude, Depth, or Elevation values. Use the guide below to get started.

British Columbia, Canada

MINFILE.csv

  • Relevant columns: DECIMAL_LATITUDE, DECIMAL_LONGITUDE, ELEVATION, COMMODITY_DESCRIPTION1, COMMODITY_DESCRIPTION2, COMMODITY_DESCRIPTION3, COMMODITY_DESCRIPTION4, COMMODITY_DESCRIPTION5, COMMODITY_DESCRIPTION6, COMMODITY_DESCRIPTION7, COMMODITY_DESCRIPTION8
  • Missing columns: year of discovery

mrds.csv

  • Relevant columns: latitude, longitude, commod1, commod2, commod3, disc_yr
  • Missing columns: depth or elevation of discovery

Alberta, Canada

Metallic_Mineral_Occurrence.csv

  • Relevant columns: Long_NAD83, Lat_NAD83, Depth_m, Comm_1, Comm_2, Location, Ref_AGS

mrds.csv

  • Relevant columns: latitude, longitude, commod1, commod2, commod3, disc_yr
  • Missing columns: depth or elevation of discovery
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