Multisensor Remote Sensing and Advanced Image Processing for Integrated Assessment of Geological Structure and Environmental Dynamics
Lake, a crucial freshwater resource in semiarid region, requires comprehensive understanding for sustainable management. This study presents a comprehensive methodological framework that integrates various remote sensing techniques with field investigations to examine the geological structure, envir...
Saved in:
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11053657/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850102432433963008 |
|---|---|
| author | Luo Bin Rana Waqar Aslam Iram Naz Dmitry E. Kucher Zohaib Afzal Danish Raza Rana Muhammad Zulqarnain Yahia Said |
| author_facet | Luo Bin Rana Waqar Aslam Iram Naz Dmitry E. Kucher Zohaib Afzal Danish Raza Rana Muhammad Zulqarnain Yahia Said |
| author_sort | Luo Bin |
| collection | DOAJ |
| description | Lake, a crucial freshwater resource in semiarid region, requires comprehensive understanding for sustainable management. This study presents a comprehensive methodological framework that integrates various remote sensing techniques with field investigations to examine the geological structure, environmental conditions, and land use patterns of the lake. Sentinel-2 imagery was utilized alongside spectral indices, such as normalized difference vegetation index (ranging from –0.237728 to 0.604622), normalized difference water index (–0.564981 to 0.297745), and normalized difference moisture index (–0.25 to 0.320), as well as advanced image processing methods, such as principal component analysis (PCA), minimum noise fraction, and structural analysis, to assess and characterize the lake’s environmental features. PCA (first principal component values: –4046.55 to 3813.42) revealed distinct lithological variations, while directional lineament analysis in four orientations [north–south (NS), northwest–southeast (NWSE), east–west, and northeast–southwest] identified predominant structural trends controlling the lake’s morphology. Land use classification achieved high accuracy (overall accuracy: 92%, Kappa coefficient: 0.89) in distinguishing six major classes, with bare ground dominating the landscape and agricultural activities concentrated along the eastern shore. Digital elevation model analysis (–1 to 44 m) and slope assessment (0–37.8114°) demonstrated strong correlations between topography and land use patterns. The integration of these techniques revealed that the lake’s formation and current configuration are strongly influenced by geological structures, particularly evident in NS and NWSE trending features. Our methodology successfully identified critical relationships between geological structure, environmental conditions, and human land use, providing a robust framework for similar studies in semiarid regions. The findings indicate that sustainable management of lake requires the consideration of both structural controls and anthropogenic influences, with particular attention to the eastern shore’s development patterns where human activities are concentrated. |
| format | Article |
| id | doaj-art-c684fd6c022a4e688f43555199504efb |
| institution | DOAJ |
| issn | 1939-1404 2151-1535 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| spelling | doaj-art-c684fd6c022a4e688f43555199504efb2025-08-20T02:39:44ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing1939-14042151-15352025-01-0118168441685710.1109/JSTARS.2025.358385311053657Multisensor Remote Sensing and Advanced Image Processing for Integrated Assessment of Geological Structure and Environmental DynamicsLuo Bin0Rana Waqar Aslam1https://orcid.org/0000-0002-8711-8700Iram Naz2https://orcid.org/0009-0002-9509-9914Dmitry E. Kucher3https://orcid.org/0000-0002-7919-3487Zohaib Afzal4Danish Raza5https://orcid.org/0000-0002-7623-3666Rana Muhammad Zulqarnain6https://orcid.org/0000-0002-2656-8679Yahia Said7https://orcid.org/0000-0003-0613-4037College of Environment and Ecology, Taiyuan University of Technology, Taiyuan, ChinaState Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, ChinaState Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, ChinaDepartment of Environmental Management, Institute of Environmental Engineering, RUDN University, Moscow, RussiaState Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, ChinaState Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, ChinaDepartment of Mathematics, Saveetha School of Engineering, SIMATS Thandalam, Chennai, IndiaCenter for Scientific Research and Entrepreneurship, Northern Border University, Arar, Saudi ArabiaLake, a crucial freshwater resource in semiarid region, requires comprehensive understanding for sustainable management. This study presents a comprehensive methodological framework that integrates various remote sensing techniques with field investigations to examine the geological structure, environmental conditions, and land use patterns of the lake. Sentinel-2 imagery was utilized alongside spectral indices, such as normalized difference vegetation index (ranging from –0.237728 to 0.604622), normalized difference water index (–0.564981 to 0.297745), and normalized difference moisture index (–0.25 to 0.320), as well as advanced image processing methods, such as principal component analysis (PCA), minimum noise fraction, and structural analysis, to assess and characterize the lake’s environmental features. PCA (first principal component values: –4046.55 to 3813.42) revealed distinct lithological variations, while directional lineament analysis in four orientations [north–south (NS), northwest–southeast (NWSE), east–west, and northeast–southwest] identified predominant structural trends controlling the lake’s morphology. Land use classification achieved high accuracy (overall accuracy: 92%, Kappa coefficient: 0.89) in distinguishing six major classes, with bare ground dominating the landscape and agricultural activities concentrated along the eastern shore. Digital elevation model analysis (–1 to 44 m) and slope assessment (0–37.8114°) demonstrated strong correlations between topography and land use patterns. The integration of these techniques revealed that the lake’s formation and current configuration are strongly influenced by geological structures, particularly evident in NS and NWSE trending features. Our methodology successfully identified critical relationships between geological structure, environmental conditions, and human land use, providing a robust framework for similar studies in semiarid regions. The findings indicate that sustainable management of lake requires the consideration of both structural controls and anthropogenic influences, with particular attention to the eastern shore’s development patterns where human activities are concentrated.https://ieeexplore.ieee.org/document/11053657/Digital image processingenvironmental monitoringgeological structureland use classificationremote sensingSentinel-2 |
| spellingShingle | Luo Bin Rana Waqar Aslam Iram Naz Dmitry E. Kucher Zohaib Afzal Danish Raza Rana Muhammad Zulqarnain Yahia Said Multisensor Remote Sensing and Advanced Image Processing for Integrated Assessment of Geological Structure and Environmental Dynamics IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Digital image processing environmental monitoring geological structure land use classification remote sensing Sentinel-2 |
| title | Multisensor Remote Sensing and Advanced Image Processing for Integrated Assessment of Geological Structure and Environmental Dynamics |
| title_full | Multisensor Remote Sensing and Advanced Image Processing for Integrated Assessment of Geological Structure and Environmental Dynamics |
| title_fullStr | Multisensor Remote Sensing and Advanced Image Processing for Integrated Assessment of Geological Structure and Environmental Dynamics |
| title_full_unstemmed | Multisensor Remote Sensing and Advanced Image Processing for Integrated Assessment of Geological Structure and Environmental Dynamics |
| title_short | Multisensor Remote Sensing and Advanced Image Processing for Integrated Assessment of Geological Structure and Environmental Dynamics |
| title_sort | multisensor remote sensing and advanced image processing for integrated assessment of geological structure and environmental dynamics |
| topic | Digital image processing environmental monitoring geological structure land use classification remote sensing Sentinel-2 |
| url | https://ieeexplore.ieee.org/document/11053657/ |
| work_keys_str_mv | AT luobin multisensorremotesensingandadvancedimageprocessingforintegratedassessmentofgeologicalstructureandenvironmentaldynamics AT ranawaqaraslam multisensorremotesensingandadvancedimageprocessingforintegratedassessmentofgeologicalstructureandenvironmentaldynamics AT iramnaz multisensorremotesensingandadvancedimageprocessingforintegratedassessmentofgeologicalstructureandenvironmentaldynamics AT dmitryekucher multisensorremotesensingandadvancedimageprocessingforintegratedassessmentofgeologicalstructureandenvironmentaldynamics AT zohaibafzal multisensorremotesensingandadvancedimageprocessingforintegratedassessmentofgeologicalstructureandenvironmentaldynamics AT danishraza multisensorremotesensingandadvancedimageprocessingforintegratedassessmentofgeologicalstructureandenvironmentaldynamics AT ranamuhammadzulqarnain multisensorremotesensingandadvancedimageprocessingforintegratedassessmentofgeologicalstructureandenvironmentaldynamics AT yahiasaid multisensorremotesensingandadvancedimageprocessingforintegratedassessmentofgeologicalstructureandenvironmentaldynamics |