Checking for missing content type metadata ...

Checking for non-preferred file/folder path names (may take a long time depending on the number of files/folders) ...

Real Time Data Visualization of Normalized Difference Vegetation Index (NDVI) for Agricultural Management


Authors:
Owners: This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) for information on this resource.
Type: Resource
Storage: The size of this resource is 44.8 KB
Created: Aug 25, 2026 at 9:06 p.m. (UTC)
Last updated: Aug 28, 2026 at 5:04 p.m. (UTC)
Citation: See how to cite this resource
Sharing Status: Public
Views: 94
Downloads: 10
+1 Votes: Be the first one to 
 this.
Comments: No comments (yet)

Abstract

The Normalized Difference Vegetation Index (NDVI) quantifies plant greenness and serves as an indicator of vegetation biomass and density. In arid regions such as Utah, where soil properties vary spatially within agricultural fields, NDVI-based spatial analysis provides a comprehensive assessment of crop health. In this study, NDVI data was collected from an alfalfa field near Pelican Lake in Randlett, Utah, and integrated with meteorological data from the Utah Climate Center’s Pelican Lake weather station. An Observations Data Model (ODM) implemented within an SQLite database was used to manage and stream the data into a web application live monitoring dashboard. The system visualizes NDVI time series alongside environmental variables including temperature, precipitation, and humidity to support interpretation of alfalfa vegetation dynamics. The developed web interface will enable users (i.e., alfalfa farmers) to track temporal patterns in crop development, assess vegetation condition, and identify optimal harvest timing based on both NDVI thresholds and meteorological weather indicators. Results demonstrate that integrating NDVI with real-time environmental data improves the interpretability of crop conditions and supports more informed agricultural decision-making and planning. Our approach has the potential to enhance yield and harvesting optimization while reducing alfalfa losses in water-limited environments like Northern Utah.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
North Latitude
40.1835°
East Longitude
-109.6882°
South Latitude
40.1750°
West Longitude
-109.6914°

Temporal

Start Date:
End Date:

Content

Additional Metadata

Name Value
Study Area Pelican Lake agricultural region, Randlett, Utah, USA
Primary Crop Alfalfa
Project Type Environmental Monitoring / Precision Agriculture / Agricultural Decision Support
Broader Impact Improved agricultural decision-making and resource management in water-limited environment
Data Management Observations Data Model (ODM) implemented in an SQLite database
Primary Dataset Normalized Difference Vegetation Index (NDVI) time-series data
Primary Methods NDVI time-series analysis, environmental data integration, database management, real-time data visualization, and threshold-based decision support
Supporting Data Meteorological observations, including temperature, precipitation, and relative humidity
Primary Application Crop health monitoring, vegetation condition assessment, harvest-timing optimization, and agricultural management
Technology / Platform Web-based real-time environmental monitoring and visualization dashboard

Related Geospatial Features

This HydroShare resource is linked to the following geospatial features

${ messageObj.message }
${value.text} ${value.text}

Click a point to search for features that overlap with that location.

Select a feature for more information.

Related Resources

The content of this resource is derived from NDVI observations collected from the alfalfa field near Pelican Lake, Randlett, Utah
The content of this resource is derived from Utah Climate Center — Pelican Lake weather station meteorological observations
The content of this resource is derived from Observations Data Model (ODM) database containing the integrated NDVI and meteorological observations
The content of this resource is derived from SQLite database containing the project observations used to populate the real-time visualization dashboard

Credits

Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
USU College of Engineering None None
Utah State University None None
Utah Water Research Laboratory None None
USU Civil & Environmental Engineering Department None None

Contributors

People or Organizations that contributed technically, materially, financially, or provided general support for the creation of the resource's content but are not considered authors.

Name Organization Address Phone Author Identifiers
Jeffery S. Horsburgh Utah State University;Utah Water Research Laboratory UT, US +1 (435) 797-2946 ORCID , ResearchGateID , GoogleScholarID
Alfonso Faustino Torres-Rua Utah State University UT, US +1 (435) 797-0397 ORCID , GoogleScholarID
Burdette Barker Utah State University UT, US 435-797-3926 GoogleScholarID
Jonah Ingram Utah State University UT, US

How to Cite

Jimoh, A., Panta, S., Vaidyanathan, S. (2026). Real Time Data Visualization of Normalized Difference Vegetation Index (NDVI) for Agricultural Management, HydroShare, http://www.hydroshare.org/resource/8551d28651924849a41a40e79a9e749b

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/
CC-BY

Comments

There are currently no comments

New Comment

required