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Data supporting the manuscript "Sensitivity of L-Band Microwaves to Subsurface Cobbles in Thin Soils (< 0.5 m) and Implications for Agrohydrology"
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| Type: | Resource | |
| Storage: | The size of this resource is 974.4 MB | |
| Created: | May 18, 2026 at 5:17 p.m. (UTC) | |
| Last updated: | Jun 26, 2026 at 8:53 p.m. (UTC) (Metadata update) | |
| Published date: | Jun 26, 2026 at 8:53 p.m. (UTC) | |
| DOI: | 10.4211/hs.76c9f46316c44f0ebf5ac7914bc544fd | |
| Citation: | See how to cite this resource | |
| Content types: | Geographic Raster Content CSV Content |
| Sharing Status: | Published |
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| Views: | 101 |
| Downloads: | 16 |
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| Comments: | No comments (yet) |
Abstract
This repository contains the raw data, R script for analysis and visualization, and ArcGIS Pro package supporting the manuscript "Sensitivity of L-Band Microwaves to Subsurface Cobbles in Thin Soils (< 0.5 m) and Implications for Agrohydrology" submitted to Geophysical Research Letters in June 2026. The dataset allows an assessment of the penetration depth of HV- and HH-polarized L-Band microwaves into soils under field conditions.
Repository Contents:
• [dissertChapter2_studyArea.ppkx]: ArcGIS Pro Project package containing the finalized maps, layouts, and clipped raster layers.
• [palsar20080117_zf_carc.csv]: Raw CSV files containing the underlying tabular data for the CARC site.
• [palsar20080117_zf_carc.csv]: Raw CSV files containing the underlying tabular data for six farm sites.
• [zfWithYield_carcSunBasinIndianButte.csv]: Raw CSV files containing the underlying agronomic data (i.e., wheat yield and protein) at three farm sites
• [20260622_hypothesisTesting.xlsx]: Raw data and visualization forming the basis of the hypothesis testing framework.
• [hydroshareCode.R]: R script used to automate the data cleaning, analysis, and visualization process.
• [palsarHH_20080117.tif]: Raster data for the HH-polarized backscatter signal at the CARC site
• [palsarHV_20080117.tif]: Raster data for the HV-polarized backscatter signal at the CARC site
• [zfResamp.tif]: Raster data for soil thickness at the CARC site (resampled to L-band SAR)
Software & Hardware Requirements:
Spatial data was processed using ArcGIS Pro (Version 3.2.2). R scripts require Version 4.6.0 with moments, raster, ggplot2, and ggExtra packages. The XLSX file requires Microsoft® Excel® for Microsoft 365 MSO (Version 2508 Build 16.0.19127.20678).
Subject Keywords
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Content
readme.md
Data and Code Repository: Sensitivity of L-Band Microwaves to Subsurface Cobbles in Thin Soils (< 0.5 m) and Implications for Agrohydrology
Citation & Manuscript Context
This repository contains the raw data, R analysis/visualization scripts, and geospatial files supporting the following manuscript: Title: Sensitivity of L-Band Microwaves to Subsurface Cobbles in Thin Soils (< 0.5 m) and Implications for Agrohydrology Journal: Submitted to Geophysical Research Letters (June 2026) * Purpose: This dataset enables the assessment of the penetration depth of HV- and HH-polarized L-Band microwaves into soils under active field conditions.
Repository Directory & Contents
📁 Geospatial Data & Projects
dissertChapter2_studyArea.ppkx– ArcGIS Pro Project package containing finalized maps, layouts, and clipped raster layers.palsarHH_20080117.tif– Raster dataset representing the HH-polarized microwave backscatter signal at the CARC site.palsarHV_20080117.tif– Raster dataset representing the HV-polarized microwave backscatter signal at the CARC site.zfResamp.tif– Raster dataset detailing soil thickness at the CARC site, resampled to align with the L-band SAR resolution.
📁 Tabular Datasets
palsar20080117_zf_carc.csv– Raw CSV file containing underlying tabular microwave and depth data for the CARC site.palsar20080117_zf_allSites.csv– Raw CSV file containing underlying tabular data for the six additional farm sites.zfWithYield_carcSunBasinIndianButte.csv– Raw CSV file containing agronomic attributes (specifically wheat yield and protein content) across three farm sites (CARC, Sun Basin, and Indian Butte).20260622_hypothesisTesting.xlsx– Excel spreadsheet containing the raw data and visual plots forming the core basis of the study's hypothesis testing framework.
📁 R Script
hydroshareCode.R– Comprehensive R script used to automate data cleaning, statistical modeling, and the generation of manuscript figure panels.
Software & Hardware Requirements
Geospatial Processing
- Software: ArcGIS Pro (v3.2.2 or higher is required to unpack the
.ppkxfile natively).
Statistical Analysis & Visualization
- Environment: R (v4.6.0 or higher recommended).
- Required Packages: To run
hydroshareCode.R, ensure you have the following libraries installed: ```R install.packages(c("moments", "raster", "ggplot2", "ggExtra"))
Data Services
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
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| USDA Agricultural Research Service (USDA-ARS) | Agreement 58-3032-005 | 58-3032-005 |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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