Identification of Mangrove Areas by Remote Sensing: The ROC Curve Technique Applied to the Northwestern Mexico Coastal Zone Using Landsat Imagery
| Autor: | Salvador Sánchez-Carrillo, R. Sánchez-Andrés, Santos Cirujano, Santiago Beguería, L. C. Alatorre |
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| Přispěvatelé: | Consejo Superior de Investigaciones Científicas (España), Consejo Nacional de Ciencia y Tecnología (México) |
| Rok vydání: | 2011 |
| Předmět: |
mangrove
Spectral signature Pixel Receiver operating characteristic Contextual image classification maximum likelihood algorithm Vegetation Land cover sensitivity/specificity remote sensing Remote sensing (archaeology) Gulf of California General Earth and Planetary Sciences curve ROC lcsh:Q Mangrove lcsh:Science Geology Remote sensing |
| Zdroj: | Remote Sensing, Vol 3, Iss 8, Pp 1568-1583 (2011) Digital.CSIC. Repositorio Institucional del CSIC instname Remote Sensing; Volume 3; Issue 8; Pages: 1568-1583 |
| Popis: | In remote sensing, traditional methodologies for image classification consider the spectral values of a pixel in different image bands. More recently, classification methods have used neighboring pixels to provide more information. In the present study, we used these more advanced techniques to discriminate between mangrove and non‑mangrove regions in the Gulf of California of northwestern Mexico. A maximum likelihood algorithm was used to obtain a spectral distance map of the vegetation signature characteristic of mangrove areas. Receiver operating characteristic (ROC) curve analysis was applied to this map to improve classification. Two classification thresholds were set to determine mangrove and non-mangrove areas, and two performance statistics (sensitivity and specificity) were calculated to express the uncertainty (errors of omission and commission) associated with the two maps. The surface area of the mangrove category obtained by maximum likelihood classification was slightly higher than that obtained from the land cover map generated by the ROC curve, but with the difference of these areas to have a high level of accuracy in the prediction of the model. This suggests a considerable degree of uncertainty in the spectral signatures of pixels that distinguish mangrove forest from other land cover categories. This research was supported by the Mexican Secretary of Environment and Natural Resources (SEMARNAT) and the National Council for Science and Technology (CONACYT) by the grant SEMARNAT-2002-C01-0147. R. Sánchez-Andrés is granted by a CSIC-JAEDoc contract and L.C. Alatorre was supported by a scholarship from The National Council for Science and Technology of Mexico (CONACYT). |
| Databáze: | OpenAIRE |
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