A COMPARATIVE ASSESSMENT OF REMOTE SENSING IMAGING TECHNIQUES: OPTICAL, SAR AND LIDAR

21 citations as recorded by crossref.

1. A Review of General Methods for Quantifying and Estimating Urban Trees and Biomass M. Yang et al. https://doi.org/10.3390/f13040616
2. A Meta-Analysis of Remote Sensing Technologies and Methodologies for Crop Characterization H. Bahrami et al. https://doi.org/10.3390/rs14225633
3. Review of Snow Identification Algorithms: From Traditional Machine Learning to Semantic Methods K. Ma et al. https://doi.org/10.3390/rs18071067
4. A Review of Optical and SAR Image Deep Feature Fusion in Semantic Segmentation C. Liu et al. https://doi.org/10.1109/JSTARS.2024.3424831
5. Comprehensive review of remote sensing integration with deep learning in landslide forecasting and future directions N. Pawar & K. Sharma https://doi.org/10.1007/s11069-025-07171-w
6. Satellite Reveals the Accelerated Coastline Erosion of Sydney’s Sandy Beaches Since the 21st Century M. Wang et al. https://doi.org/10.1080/07038992.2024.2432418
7. Comparative Analysis of Polarimetric Orientation Angle Effects on C-Band and L-Band PolSAR Data Using RADARSAT-2 and ALOS-2 . Rajeshwari C. Pangarkar et al. https://doi.org/10.32628/IJSRST251222817
8. Potential of Earth Observation to Assess the Impact of Climate Change and Extreme Weather Events in Temperate Forests—A Review M. Wegler & C. Kuenzer https://doi.org/10.3390/rs16122224
9. Leveraging GEDI LiDAR and SRTM DSM for estimating temporal changes in tree canopy height Y. Ali et al. https://doi.org/10.1007/s12518-026-00688-0
10. Optimization-based task allocation for Earth observation in multi-satellite systems L. Govoni et al. https://doi.org/10.1016/j.ast.2025.111058
11. A Synthetic Aperture Radar Imaging Simulation Method for Sea Surface Scenes Combined with Electromagnetic Scattering Characteristics Y. He et al. https://doi.org/10.3390/rs16173335
12. LH-YOLO: A Lightweight and High-Precision SAR Ship Detection Model Based on the Improved YOLOv8n Q. Cao et al. https://doi.org/10.3390/rs16224340
13. Dynamic monitoring of maize field vegetation cover using sentinel-1 and sentinel-2 data and transfer learning algorithms H. Sun et al. https://doi.org/10.1016/j.atech.2025.101711
14. Wetlands contribution and linkage to support SDGs, its indicators and targets‐ A critical review S. Mohanty et al. https://doi.org/10.1002/sd.2948
15. A review of geospatial technology-based applications in mineral exploration K. Said et al. https://doi.org/10.1007/s10708-022-10784-4
16. Survey on remote sensing scene classification: from traditional methods to large generative AI models Q. Huang & C. Hu https://doi.org/10.1007/s44443-026-00694-7
17. Vegetation Biomass Estimation Using 3D Ground-Based Point Clouds: A Systematic Review R. Bolanos et al. https://doi.org/10.1007/s40725-026-00280-0
18. RETRACTED ARTICLE: Urban Green Space Planning Based on Remote Sensing Image Enhancement and Wireless Sensing Technology T. Xu et al. https://doi.org/10.1007/s11036-024-02380-2
19. Detection and Monitoring of Power Line Corridor From Satellite Imagery Using RetinaNet and K-Mean Clustering F. Haroun et al. https://doi.org/10.1109/ACCESS.2021.3106550
20. Improving the accuracy of mangrove forest mapping using sentinel image and developed classification algorithm based on machine learning A. Purwanto et al. https://doi.org/10.1080/14498596.2024.2337747
21. Indoor lighting environment space design simulation system based on optical imaging and intelligent manufacturing S. Liang & X. Sun https://doi.org/10.1007/s00170-024-14821-z