The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A review of the status of satellite remote sensing and image processing techniques for mapping natural hazards and disasters
Abstract
In the event of a natural disaster, remote sensing is a valuable source of spatial information and its utility has been proven on many occasions around the world. However, there are many different types of hazards experienced worldwide on an annual basis and their remote sensing solutions are equally varied. This paper addresses a number of data types and image processing techniques used to map and monitor earthquakes, faulting, volcanic activity, landslides, flooding, and wildfire, and the damages associated with each. Remote sensing is currently used operationally for some monitoring programs, though there are also difficulties associated with the rapid acquisition of data and provision of a robust product to emergency services as an end-user. The current status of remote sensing as a rapid-response data source is discussed, and some perspectives given on emerging airborne and satellite technologies.
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Cites
Satellite Image Analysis for Disaster and Crisis-Management Support
Voigt, S., Kemper, T., Riedlinger, T., Kiefl, R., Scholte, K., & Mehl, H. (2007) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2007.895830 · Cited by 387
Cited by
A cloud detection algorithm for satellite imagery based on deep learning
Jeppesen, J. H., Jacobsen, R. H., Inceoglu, F., & Toftegaard, T. S. (2019) · Remote Sensing of Environment · doi:10.1016/j.rse.2019.03.039 · Cited by 402
Operational Flood Mapping Using Multi-Temporal Sentinel-1 SAR Images: A Case Study from Bangladesh
Uddin, K., Matin, M. A., & Meyer, F. J. (2019) · Remote Sensing · doi:10.3390/rs11131581 · Cited by 348
Landslide failures detection and mapping using Synthetic Aperture Radar: Past, present and future
Mondini, A. C., Guzzetti, F., Chang, K.-T., Monserrat, O., Martha, T. R., & Manconi, A. (2021) · Earth-Science Reviews · doi:10.1016/j.earscirev.2021.103574 · Cited by 303
Hoque, M. A.-A., Pradhan, B., Ahmed, N., & Roy, S. (2019) · Science of The Total Environment · doi:10.1016/j.scitotenv.2019.07.132 · Cited by 138
FPGA Implementation for CNN-Based Optical Remote Sensing Object Detection
Zhang, N., Wei, X., Chen, H., & Liu, W. (2021) · Electronics · doi:10.3390/electronics10030282 · Cited by 85
“The increasing volume of image data puts high pressure on the data downlink [8,9].”
Background
Metadata
- Authors
- Joyce, K. E., Belliss, S. E., Samsonov, S. V., McNeill, S. J., & Glassey, P. J.
- Venue
- Progress in Physical Geography: Earth and Environment
- Publisher
- SAGE Publications
- Published
- 2009-04
- Volume
- 33
- Issue
- 2
- Pages
- 183-207
- ISSN
- 0309-1333 (ISSN-L)
- 1477-0296
- OpenAlex
- W2111809230
- Cited by
- 496
- References
- 1
- FWCI
- 7.00
- Type
- journal article
- Language
- en
- Open access
- closed
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- Joyce, K. E., Belliss, S. E., Samsonov, S. V., McNeill, S. J., & Glassey, P. J. (2009). A review of the status of satellite remote sensing and image processing techniques for mapping natural hazards and disasters. Progress in Physical Geography: Earth and Environment. https://doi.org/10.1177/0309133309339563
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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