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IMAP: Image Mapping & Analytics for Phenotyping

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Version 3 2024-04-08, 15:32
Version 2 2024-03-19, 14:09
Version 1 2023-11-30, 10:16
software
posted on 2024-04-08, 15:32 authored by James Y. Kim

A set of PYTHON programs to implement image processing of ground and aerial images by offering via graphical user interface (GUI) 1) plot-level metrics extraction through a series of algorithms for image conversion, band math, radiometric/geometric calibrations, segmentation, masking, adaptive region of interest (ROI), gridding, heatmap, and batch process, 2) GIS interface for GeoTIFF pixels to Lat/Lon, UTM conversion, read/write shapefile, Lat/Lon to ROI, grid to polygon, and 3) utility GUI functions for zooming, panning, rotation, images to video, file I/O, and histogram.


Resources in this dataset:

  • Resource Title: IMAP: Image Mapping & Analytics for Phenotyping.

    File Name: IMAP.zip

Funding

Agricultural Research Service, 2020-21410-007-00D

Agricultural Research Service, 2020-21000-013-00D

Agricultural Research Service, 2020-11000-013-00D

History

Data contact name

Kim, James

Data contact email

james.y.kim@usda.gov

Publisher

Ag Data Commons

Intended use

IMAP serves as a GUI-based image analytic software for high throughput phenotyping (HTP) in plant breeding and sustainable crop management on field crops as well as plants in growth chambers or greenhouses. Ground or aerial (UAV or Satellite) images may be collected to study plant health conditions of field crops to extract the plot-level metrics such as normalized difference vegetation index (NDVI), leaf area index (LAI), LAI covariance, heatmap, etc. An RGB or multispectral image is read for ROI or grid analysis on segmented vegetation pixels. A metafile can be saved for all configuration parameters and loaded for quick retrieval. A set of seasonal images may be read and batch processed to generate metrics outputs and visualize a field map calendar.

Use limitations

IMAP supports rectangular or oval ROI, processing images of rectangular fields (software update planned for images of circular fields). File/folder structure in batch process may need to be adjusted to read the end-user's data.

Temporal Extent Start Date

2018-12-18

Temporal Extent End Date

2021-08-30

Theme

  • Not specified

Geographic Coverage

{"type":"FeatureCollection","features":[{"geometry":{"type":"Polygon","coordinates":[[[-373.59375715256,-65.778772326728],[-373.59375715256,84.220160826965],[-12.187442779541,84.220160826965],[-12.187442779541,-65.778772326728],[-373.59375715256,-65.778772326728]]]},"type":"Feature","properties":{}}]}

Geographic location - description

Earth

ISO Topic Category

  • farming
  • geoscientificInformation
  • imageryBaseMapsEarthCover

National Agricultural Library Thesaurus terms

phenotype; computer software; image analysis; aerial photography; algorithms; radiometry; geometry; geographic information systems; remote sensing; crop management; water management; plant breeding; field crops; greenhouses; unmanned aerial vehicles; satellites; normalized difference vegetation index; leaf area index; multispectral imagery; vegetation; Research Technology and Engineering; Natural Resources Earth and Environmental Sciences

OMB Bureau Code

  • 005:18 - Agricultural Research Service

OMB Program Code

  • 005:040 - National Research

ARS National Program Number

  • 301

Primary article PubAg Handle

Pending citation

  • No

Public Access Level

  • Public

Preferred dataset citation

Kim, James Y. (2021). IMAP: Image Mapping & Analytics for Phenotyping. Ag Data Commons. https://doi.org/10.15482/USDA.ADC/1523140

Usage metrics

    Categories

    Keywords

    plant phenotypingimage analysisDrone_Imagessatellite imagecalibrationgiscrop managementwater managementsoftwareNP301data.govARS

    Licence

    U.S. Public Domain

    Exports

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