Continuous Ground Moisture Monitoring at Limestone Quarry Using Multi-Sensor SAR Images and in Situ IoT Sensors

Oleg Antropov; Matthieu Molinier; Lauri Seitsonen; Alireza Hamedianfar; Maarit Middleton; Kati Laakso; Heikki Sutinen; Pauliina Liwata-Kenttala

doi:10.1109/IGARSS53475.2024.10640417

Continuous Ground Moisture Monitoring at Limestone Quarry Using Multi-Sensor SAR Images and in Situ IoT Sensors

Oleg Antropov^*
, Matthieu Molinier
, Lauri Seitsonen
, Alireza Hamedianfar
, Maarit Middleton
, Kati Laakso
, Heikki Sutinen
, Pauliina Liwata-Kenttala

^*Corresponding author for this work

BA6408 Remote sensing

Geological Survey of Finland (GTK)

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

Abstract

In this study, we examine the potential of continuous ground moisture monitoring over a mining site using a combination of in-situ soil moisture sensors and multi-sensor SAR images. We focus on examining and improving methodologies for surface soil moisture (or ground moisture) retrieval from SAR measurements focusing on detailed in situ reference observations for several key sediments types in the study area. The mining site represents a limestone quarry located in southeastern Finland. We hypothesize that sediment-specific well-calibrated models can be instrumental in improving soil moisture retrieval under different weather conditions to produce spatially explicit ground moisture estimates at high resolution compared to baseline approaches. Studied SAR data are represented by Copernicus Sentinel-1 C-band images, and methodologies will be expanded later to L-band images from ALOS-2 PALSAR-2 and the upcoming NISAR mission.

Original language	English
Title of host publication	IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Proceedings
Publisher	IEEE Institute of Electrical and Electronic Engineers
Pages	3392-3395
Number of pages	4
ISBN (Electronic)	979-8-3503-6032-5, 979-8-3503-6031-8
ISBN (Print)	979-8-3503-6033-2
DOIs	https://doi.org/10.1109/IGARSS53475.2024.10640417
Publication status	Published - 2024
MoE publication type	A4 Article in a conference publication
Event	2024 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2024 - Athens, Greece Duration: 7 Jul 2024 → 12 Jul 2024

Conference

Conference	2024 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2024
Country/Territory	Greece
City	Athens
Period	7/07/24 → 12/07/24

Funding

The MultiMiner project is funded by the European Union’s Horizon Europe research and innovations actions programme under Grant Agreement No. 101091374.

Keywords

change detection
mining operations
polarimetry
Sentinel-1
soil moisture
synthetic aperture radar

Access to Document

10.1109/IGARSS53475.2024.10640417

Cite this

Antropov, O., Molinier, M., Seitsonen, L., Hamedianfar, A., Middleton, M., Laakso, K., Sutinen, H., & Liwata-Kenttala, P. (2024). Continuous Ground Moisture Monitoring at Limestone Quarry Using Multi-Sensor SAR Images and in Situ IoT Sensors. In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Proceedings (pp. 3392-3395). IEEE Institute of Electrical and Electronic Engineers. https://doi.org/10.1109/IGARSS53475.2024.10640417

@inproceedings{74c2589bf4224ff8a293f14e101e369a,

title = "Continuous Ground Moisture Monitoring at Limestone Quarry Using Multi-Sensor SAR Images and in Situ IoT Sensors",

abstract = "In this study, we examine the potential of continuous ground moisture monitoring over a mining site using a combination of in-situ soil moisture sensors and multi-sensor SAR images. We focus on examining and improving methodologies for surface soil moisture (or ground moisture) retrieval from SAR measurements focusing on detailed in situ reference observations for several key sediments types in the study area. The mining site represents a limestone quarry located in southeastern Finland. We hypothesize that sediment-specific well-calibrated models can be instrumental in improving soil moisture retrieval under different weather conditions to produce spatially explicit ground moisture estimates at high resolution compared to baseline approaches. Studied SAR data are represented by Copernicus Sentinel-1 C-band images, and methodologies will be expanded later to L-band images from ALOS-2 PALSAR-2 and the upcoming NISAR mission.",

keywords = "change detection, mining operations, polarimetry, Sentinel-1, soil moisture, synthetic aperture radar",

author = "Oleg Antropov and Matthieu Molinier and Lauri Seitsonen and Alireza Hamedianfar and Maarit Middleton and Kati Laakso and Heikki Sutinen and Pauliina Liwata-Kenttala",

year = "2024",

doi = "10.1109/IGARSS53475.2024.10640417",

language = "English",

isbn = "979-8-3503-6033-2",

pages = "3392--3395",

booktitle = "IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Proceedings",

publisher = "IEEE Institute of Electrical and Electronic Engineers",

address = "United States",

note = "2024 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2024 ; Conference date: 07-07-2024 Through 12-07-2024",

}

Antropov, O , Molinier, M , Seitsonen, L, Hamedianfar, A, Middleton, M, Laakso, K, Sutinen, H & Liwata-Kenttala, P 2024, Continuous Ground Moisture Monitoring at Limestone Quarry Using Multi-Sensor SAR Images and in Situ IoT Sensors. in IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Proceedings. IEEE Institute of Electrical and Electronic Engineers, pp. 3392-3395, 2024 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2024, Athens, Greece, 7/07/24. https://doi.org/10.1109/IGARSS53475.2024.10640417

Continuous Ground Moisture Monitoring at Limestone Quarry Using Multi-Sensor SAR Images and in Situ IoT Sensors. / Antropov, Oleg ; Molinier, Matthieu ; Seitsonen, Lauri et al.
IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Proceedings. IEEE Institute of Electrical and Electronic Engineers, 2024. p. 3392-3395.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Continuous Ground Moisture Monitoring at Limestone Quarry Using Multi-Sensor SAR Images and in Situ IoT Sensors

AU - Antropov, Oleg

AU - Molinier, Matthieu

AU - Seitsonen, Lauri

AU - Hamedianfar, Alireza

AU - Middleton, Maarit

AU - Laakso, Kati

AU - Sutinen, Heikki

AU - Liwata-Kenttala, Pauliina

PY - 2024

Y1 - 2024

N2 - In this study, we examine the potential of continuous ground moisture monitoring over a mining site using a combination of in-situ soil moisture sensors and multi-sensor SAR images. We focus on examining and improving methodologies for surface soil moisture (or ground moisture) retrieval from SAR measurements focusing on detailed in situ reference observations for several key sediments types in the study area. The mining site represents a limestone quarry located in southeastern Finland. We hypothesize that sediment-specific well-calibrated models can be instrumental in improving soil moisture retrieval under different weather conditions to produce spatially explicit ground moisture estimates at high resolution compared to baseline approaches. Studied SAR data are represented by Copernicus Sentinel-1 C-band images, and methodologies will be expanded later to L-band images from ALOS-2 PALSAR-2 and the upcoming NISAR mission.

AB - In this study, we examine the potential of continuous ground moisture monitoring over a mining site using a combination of in-situ soil moisture sensors and multi-sensor SAR images. We focus on examining and improving methodologies for surface soil moisture (or ground moisture) retrieval from SAR measurements focusing on detailed in situ reference observations for several key sediments types in the study area. The mining site represents a limestone quarry located in southeastern Finland. We hypothesize that sediment-specific well-calibrated models can be instrumental in improving soil moisture retrieval under different weather conditions to produce spatially explicit ground moisture estimates at high resolution compared to baseline approaches. Studied SAR data are represented by Copernicus Sentinel-1 C-band images, and methodologies will be expanded later to L-band images from ALOS-2 PALSAR-2 and the upcoming NISAR mission.

KW - change detection

KW - mining operations

KW - polarimetry

KW - Sentinel-1

KW - soil moisture

KW - synthetic aperture radar

UR - https://www.scopus.com/pages/publications/85204872268

U2 - 10.1109/IGARSS53475.2024.10640417

DO - 10.1109/IGARSS53475.2024.10640417

M3 - Conference article in proceedings

AN - SCOPUS:85204872268

SN - 979-8-3503-6033-2

SP - 3392

EP - 3395

BT - IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Proceedings

PB - IEEE Institute of Electrical and Electronic Engineers

T2 - 2024 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2024

Y2 - 7 July 2024 through 12 July 2024

ER -

Antropov O , Molinier M , Seitsonen L, Hamedianfar A, Middleton M, Laakso K et al. Continuous Ground Moisture Monitoring at Limestone Quarry Using Multi-Sensor SAR Images and in Situ IoT Sensors. In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Proceedings. IEEE Institute of Electrical and Electronic Engineers. 2024. p. 3392-3395 doi: 10.1109/IGARSS53475.2024.10640417

Continuous Ground Moisture Monitoring at Limestone Quarry Using Multi-Sensor SAR Images and in Situ IoT Sensors

Abstract

Conference

Funding

Keywords

Access to Document

Other files and links

Fingerprint

MultiMiner: Multi-source and multi-scale earth observation and novel machine learning methods for mineral exploration and mine site monitoring

Cite this

Continuous Ground Moisture Monitoring at Limestone Quarry Using Multi-Sensor SAR Images and in Situ IoT Sensors

Abstract

Conference

Funding

Keywords

Access to Document

Other files and links

Fingerprint

Projects

MultiMiner: Multi-source and multi-scale earth observation and novel machine learning methods for mineral exploration and mine site monitoring

Cite this