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workflow-image's Introduction

Work Flow for Postprocessing Orthomosaics

The objective of this project is to consolidate the VIs data, agronomic data and greenhouse gases data.

There are some requirements to run this algorithm:

1) Minimum machine requirements:

  • 16 Gb of ram
  • Core i5(8th gen)

2) Sowtfware requirements:

  • Anaconda:
    • rasterio
    • pandas
    • geopandas
    • rasterstats
    • fiona
    • numpy
  • git
  • github

3) To create a directory path as follows:

For orthomosaics:

"MAINFOLDER\LOCATION\DRONES\MAPS\CIMARRON\FIELD\ALL\CYCLE"

The orthomosaics must be organized in folders with their respective crop stage name. This names must begin with the order number the crop stages were sampled, ie, 0_MAXTILLERING, 1_BOOTING, etc. in this example if maxtillering stage is not sampled, the booting stage name will be 0_BOOTING.

For consolidated data frame of VIS and agronomic data and graphics:

"MAINFOLDER\LOCATION\DRONES\DATA\CIMARRON\FIELD\ALL\CYCLE"

This path will be used to save the consolidated data and graphics

There are 3 layers:

1) Base layer:

This layer contains the basics functions to operate between rasters and shapes files.

2) Controller layer:

This layer contains the functions to use the basics functions to process all the orthomosaic in the directory path.

3) visualization layer:

workflow-image's People

Watchers

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workflow-image's Issues

Dataset inquiry

Which dataset to use and what should be the exact directories for storing the dataset?

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