Data for: Project-METEORITE

Kyle DeLong; Brian Hornbuckle; Jun Wang; Michael H. Cosh; Andy VanLoocke; Daryl Herzmann

doi:10.25380/iastate.30042745

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Dataset

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Data for: Project-METEORITE

Kyle DeLong, Brian Hornbuckle, Jun Wang, Michael H. Cosh, Andy VanLoocke and Daryl Herzmann

Iowa State University

09/05/2025

DOI: 10.25380/iastate.30042745

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https://doi.org/10.25380/iastate.30042745View

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Abstract

Satellite and model estimates of soil moisture can be affected by crop development and field management decisions in agriculturally-dominated regions. However, current validation approaches don’t consider these changes, but instead investigate product performance using its whole temporal domain or partitioned calendar segments such as yearly. We developed a new validation approach/timeline that considers these landscape changes and demonstrates that “traditional” validation approaches can obscure key performance information. This dataset contains a mixture of .csv and script files used to process, analyze, and visualize open data originally sourced from government agencies and other research projects.

Agronomy

Agricultural hydrology

Soil physics

Details

Title: Subtitle: Data for: Project-METEORITE
Creators: Kyle DeLong - Iowa State University
Brian Hornbuckle - Iowa State University
Jun Wang
Michael H. Cosh
Andy VanLoocke
Daryl Herzmann
Resource Type: Dataset
DOI: 10.25380/iastate.30042745
Publisher: Iowa State University
Language: English
Date published: 09/05/2025
Academic Unit: Electrical and Computer Engineering; Civil and Environmental Engineering; Physics and Astronomy; Chemical and Biochemical Engineering
Record Identifier: 9984962542102771

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