Comparison of Soil Moisture Data From In-situ Measurements with Geological Data

As part of the MUSE project aimed at optimizing post-mining dewatering through multi-sensor geomonitoring, additional analyses were conducted based on soil samples. The aim of these analyses was to develop retention curves, which help determine critical soil physical parameters and soil moisture levels. Due to the absence of pressure pot analyses, grain size analysis was used to identify these critical parameters, allowing comparison with other data levels. In conclusion, the project results presented, that the methods used demonstrated a high degree of consistency with official soil data (maps and tables) in the working area, making them suitable for future studies on soil moisture, potentially eliminating the need for time-consuming laboratory analyses. The Soil Map 1:50,000 (BK50) data can serve as a benchmark for estimating soil moisture values in large-scale investigations.

Authors

Publication Details

Journal
Civil And Environmental Engineering Reports
Published
2025-02-12
DOI
https://doi.org/10.59440/ceer/200842
Citations
1
Primary Topic
Soil Moisture and Remote Sensing
Type
article
Field-Weighted Citation Impact
0.80
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comparison of Soil Moisture Data From In-situ Measurements with Geological Data

Bodo Bernsdorf, John R. Jaeckel, Marcin Pawlik, Tobias Rudolph
1 citations
Civil And Environmental Engineering Reports
Soil Moisture and Remote Sensing
0.80
article

Comparison of Soil Moisture Data From In-situ Measurements with Geological Data

Bodo Bernsdorf, John R. Jaeckel, Marcin Pawlik, Tobias Rudolph
article en
1 citations

Abstract

As part of the MUSE project aimed at optimizing post-mining dewatering through multi-sensor geomonitoring, additional analyses were conducted based on soil samples. The aim of these analyses was to develop retention curves, which help determine critical soil physical parameters and soil moisture levels. Due to the absence of pressure pot analyses, grain size analysis was used to identify these critical parameters, allowing comparison with other data levels. In conclusion, the project results presented, that the methods used demonstrated a high degree of consistency with official soil data (maps and tables) in the working area, making them suitable for future studies on soil moisture, potentially eliminating the need for time-consuming laboratory analyses. The Soil Map 1:50,000 (BK50) data can serve as a benchmark for estimating soil moisture values in large-scale investigations.

Civil And Environmental Engineering ReportsVol. 35(1)
Openalex Percentile: Top 32%
Soil Moisture and Remote Sensing
0.80
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Comparison of Soil Moisture Data From In-situ Measurements with Geological Data — Bodo Bernsdorf, John R. Jaeckel, et al. · Civil And Environmental Engineering Reports (2025) | TGRS Research Map | TGRS