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Home / Photogrammetric Engineering & Remote Sensing, Number 11 / November 2012

Open Access Mapping Nighttime Flood from MODIS Observations Using Support Vector Machines

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This work proposes a nighttime flood mapping method for Moderate Resolution Imaging Spectroradiometer (MODIS) data. Brightness temperatures at 3.9 [H9262]m, and 11 [H9262]m channels (BT 3.9, and BT 11, respectively) and differences of brightness temperatures between 3.9 [H9262]m and 4.0 [H9262]m, and between 11 [H9262]m and 12 [H9262]m (BT 3.9-BT 4.0, and BT 11-BT 12, respectively) are used to identify nighttime water pixels by a support vector machines (SVM) classifier. Prominent flood locations are detected by a change detection process using a reference water-land map. To test the effectiveness of the proposed method, two flood cases caused by heavy rains were chosen as trial scenarios. The nighttime mapping results are validated with the flood maps, which are obtained from the visual interpretation based on the daytime flood identification results. The experimental results indicate that the proposed method is effective for the delineation of inundated areas with standing water during the nighttime.

Document Type: Research Article

Publication date: 01 November 2012

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  • The official journal of the American Society for Photogrammetry and Remote Sensing - the Imaging and Geospatial Information Society (ASPRS). This highly respected publication covers all facets of photogrammetry and remote sensing methods and technologies.

    Founded in 1934, the American Society for Photogrammetry and Remote Sensing (ASPRS) is a scientific association serving over 7,000 professional members around the world. Our mission is to advance knowledge and improve understanding of mapping sciences to promote the responsible applications of photogrammetry, remote sensing, geographic information systems (GIS), and supporting technologies.
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