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Analysis of Dynamic Thresholds for the Normalized Difference Water Index
Open accessAbstract
The normalized difference water index (NDWI) has been successfully used to delineate surface water features. However, two major problems have been often encountered: (a) NDWIs calculated from different band combinations [visible, nearinfrared, or shortwave-infrared (SWIR)] can generate different results, and (b) NDWI thresholds vary depending on the proportions of subpixel water/non-water components. We need to evaluate all the NDWIs for determining the best performing index and to establish appropriate thresholds for clearly identifying water features. We used the spectral data obtained from a spectral library to simulate the satellite sensors Landsat ETM, SPOT-5, ASTER, and MODIS, and calculated the simulated NDWI in different forms. We found that the NDWI calculated from (green ‐ SWIR)/(green SWIR), where SWIR is the shorter wavelength region (1.2 to 1.8 mm), has the most stable threshold. We recommend this NDWI be employed for mapping water, but adjustment of the threshold based on actual situations is necessary.
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Cited by
Automated Water Extraction Index: A new technique for surface water mapping using Landsat imagery
Feyisa, G. L., Meilby, H., Fensholt, R., & Proud, S. R. (2014) · Remote Sensing of Environment · doi:10.1016/j.rse.2013.08.029 · Cited by 2,105
Li, W., Du, Z., Ling, F., Zhou, D., Wang, H., Gui, Y., Sun, B., & Zhang, X. (2013) · Remote Sensing · doi:10.3390/rs5115530 · Cited by 414
Coastal climate change, soil salinity and human migration in Bangladesh
Chen, J., & Mueller, V. (2018) · Nature Climate Change · doi:10.1038/s41558-018-0313-8 · Cited by 406
Validating Migration Responses to Flooding Using Satellite and Vital Registration Data
Chen, J. J., Mueller, V., Jia, Y., & Tseng, S. K.-H. (2017) · American Economic Review · doi:10.1257/aer.p20171052 · Cited by 87
Psomiadis, E., Diakakis, M., & Soulis, K. X. (2020) · Remote Sensing · doi:10.3390/rs12233980 · Cited by 61
Metadata
- Authors
- Ji, L., Zhang, L., & Wylie, B.
- Venue
- Photogrammetric Engineering & Remote Sensing
- Published
- 2009-11-01
- Volume
- 75
- Issue
- 11
- Pages
- 1307-1317
- ISSN
- 0099-1112 (ISSN-L)
- OpenAlex
- W2145087958
- Cited by
- 827
- References
- 0
- FWCI
- 9.84
- Type
- journal article
- Language
- en
- Open access
- hybrid
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