An object-based approach for flood area delineation in a transboundary area using ENVISAT ASAR and LANDSAT TM data

Object-Based Flood Mapping and Affected Rice Field Estimation with Landsat 8 OLI and MODIS Data

“…The OBIA approach is conducted through a two-step process: (1) image segmentation by aggregating a number of individual pixels or image sub-objects to form larger objects (primitive objects) based on the homogeneity, intensity, and texture of each investigated image; and (2) image classification and feature extraction. The result of the OBIA approach was successfully proved to be more accurate than that of the pixel-based approaches for land cover classification in recent studies, such as discrimination of different species of mangroves with Worldview-2 imagery [23], flood area delineation in the trans-boundary areas using the ENVISAT/ASAR and Landsat TM data [4], and crop mapping using the multi-temporal Landsat imagery [22]. Other applications of the object-based method for flood water and wetland mapping were introduced in [24][25][26].…”

“…Therefore, the actual extent of flood disasters can be either under-or over-estimated. Remote sensing technology appears to be one of the most effective and fastest ways for observing and providing information on flood inundation extent and damage assessment over a wide area in a cost-effective manner, especially, radar remote sensing sensors, such as Synthetic Aperture Radar (SAR), which have the advantages of penetrating clouds and, to some extent, rainfall of microwave electromagnetic signals, and can capture and provide users with clear views of the inundation extent [4,18,19]. However, the number of radar remote sensing satellites is limited, and their images are commonly expensive and unavailable for public use.…”

“…Under the effects of the tropical climate, there are many typhoons occurring in rainy seasons, resulting in a variety of long-lasting flood events along the Mekong river basin in history. The downside of flood disasters is that it resulted in serious negative effects on the psychology of local residents, food security, the environment, and the regional economy [2][3][4][5][6][7][8]. Flood events, on the contrary, play a vital role in agriculture by transporting and providing a huge amount of silt and fertilized sediment to feed the agricultural land in inundated areas [9][10][11][12].…”

Modeling of Coastal Inundation, Storm Surge, and Relative Sea-Level Rise at Naval Station Norfolk, Norfolk, Virginia, U.S.A.

“…Strong agreement (92.14%) was found between the Landsat flood extent and the official flood maps. The authors suggest that their method could be used in flood crisis management (Mallinis et al, 2011).…”

“…For example, Mallinis et al (2011) developed and validated three object-based classification approaches using Envisat/ASAR and multitemporal Landsat TM data for flood area delineation. The accuracy assessment of the classification results was based on air photo interpretation and an area-based comparison with official flood maps.…”