The DOI matches its Crossref record.
Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery
Open accessAbstract
La presente investigación busca identificar el cambio del cauce del Río Amazonas entre los años 2015 a 2022 y los efectos del mismo mediante análisis y modelamiento de la dinámica del afluente, no solo sobre las riveras y llanuras aledañas, sino especialmente sobre el Municipio de Puerto Nariño. El municipio según lo documentado, desde el año 2020 se encuentra expuesto de forma directa al cauce, y los análisis conseguidos en la presente investigación, aportan a estudios en gestión de riesgos y planes de ordenamiento territorial que realicen planes de prevención sobre las áreas identificadas las cuales de conformidad con el comportamiento natural del Río, a futuro serán zonas erosionadas, que presenten constantes desprendimientos de tierra y desestabilicen árboles de gran magnitud que representen un peligro para las poblaciones aledañas. La presente investigación hace uso de los Sistemas de Información Geográfica aplicados a imágenes satelitales Landsat 8 con nivel de procesamiento 2 y el Índice de Agua de Diferencia Normalizada Modificado MNDWI, cuya clasificación de cuerpos de agua sobre cualquier otra cobertura es más efectiva que la clasificación que se logra con el índice NDWI, lo que facilitó la identificación del cauce para el modelamiento de la dinámica en los años propuestos
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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
Flood inundation modelling: A review of methods, recent advances and uncertainty analysis
Teng, J., Jakeman, A. J., Vaze, J., Croke, B. F. W., Dutta, D., & Kim, S. (2017) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2017.01.006 · Cited by 1,456
Phan, T. N., Kuch, V., & Lehnert, L. W. (2020) · Remote Sensing · doi:10.3390/rs12152411 · Cited by 616
Sheffield, J., Wood, E. F., Pan, M., Beck, H., Coccia, G., Serrat‐Capdevila, A., & Verbist, K. (2018) · Water Resources Research · doi:10.1029/2017wr022437 · Cited by 561
Hu, X., & Xu, H. (2018) · Ecological Indicators · doi:10.1016/j.ecolind.2018.02.006 · Cited by 533
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Metadata
- Authors
- Xu, H.
- Venue
- International Journal of Remote Sensing
- Publisher
- Informa UK Limited
- Published
- 2006-07-20
- Volume
- 27
- Issue
- 14
- Pages
- 3025-3033
- ISSN
- 0143-1161 (ISSN-L)
- 1366-5901
- OpenAlex
- W2101678239
- Cited by
- 5,998
- References
- 0
- FWCI
- 18.17
- Type
- journal article
- Language
- en
- Open access
- green
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- Xu, H. (2006). Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery. International Journal of Remote Sensing. https://doi.org/10.1080/01431160600589179
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.