IMAP: Image Mapping & Analytics for Phenotyping

Principal Investigator(s):  View help for Principal Investigator(s) US Department of Agriculture; National Agricultural Library

Version:  View help for Version V1

Name File Type Size Last Modified
IMAP.zip application/zip 82.8 KB 06/26/2026 12:11:PM
adc_metadata.json application/json 23 KB 06/27/2026 09:19:AM
catalog_detail.html text/html 10.5 KB 06/26/2026 12:11:PM

Project Citation: 

US Department of Agriculture, and National Agricultural Library. IMAP: Image Mapping & Analytics for Phenotyping. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2026-06-27. https://doi.org/10.3886/E250480V1

Project Description

Project Title:  View help for Project Title IMAP: Image Mapping & Analytics for Phenotyping
Summary:  View help for Summary 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

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

File Name: IMAP.zip
Original Distribution URL:  View help for Original Distribution URL https://agdatacommons.nal.usda.gov/articles/software/IMAP_Image_Mapping_Analytics_for_Phenotyping/24666936

Scope of Project

Subject Terms:  View help for Subject Terms plant phenotyping; image analysis; Drone_Images; satellite image; calibration; gis; crop management; water management; software; NP301; data.gov; ARS
Geographic Coverage:  View help for Geographic Coverage United States
Time Period(s):  View help for Time Period(s) 12/18/2018 – 8/30/2021
Data Type(s):  View help for Data Type(s) geographic information system (GIS) data
Collection Notes:  View help for Collection Notes DOI: 10.15482/USDA.ADC/1523140 Citation: Kim, James Y. (2021). IMAP: Image Mapping & Analytics for Phenotyping. Ag Data Commons. https://doi.org/10.15482/USDA.ADC/1523140 (Downloaded 2026-06-26)


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Published Versions

V1 [2026-06-27]

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