Flood mapping under vegetation using single SAR acquisitions

Grimaldi, Stefania; Xu, Jin; Li, Y.; Pauwels, Valentijn R. N.; Walker, Jeffrey P.

doi:10.1016/j.rse.2019.111582

Cited by 113 publications

(69 citation statements)

References 96 publications

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“…The consequences are immense: an increased risk of flooding, erosion, and sedimentation in streams and rivers, leading to changes and disturbances in biodiversity, entire ecosystems, and the self-purification function of water. According to Grimaldi et al [169] flood events are the "most frequent, disastrous and widespread natural hazards of the world" (see also [170]). Every year some 20,000 people die as a result of flood events [171].…”

Section: Fluvial Landformsmentioning

confidence: 99%

Linking the Remote Sensing of Geodiversity and Traits Relevant to Biodiversity—Part II: Geomorphology, Terrain and Surfaces

Lausch

Schaepman

Skidmore³

et al. 2020

Remote Sensing

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The status, changes, and disturbances in geomorphological regimes can be regarded as controlling and regulating factors for biodiversity. Therefore, monitoring geomorphology at local, regional, and global scales is not only necessary to conserve geodiversity, but also to preserve biodiversity, as well as to improve biodiversity conservation and ecosystem management. Numerous remote sensing (RS) approaches and platforms have been used in the past to enable a cost-effective, increasingly freely available, comprehensive, repetitive, standardized, and objective monitoring of geomorphological characteristics and their traits. This contribution provides a state-of-the-art review for the RS-based monitoring of these characteristics and traits, by presenting examples of aeolian, fluvial, and coastal landforms. Different examples for monitoring geomorphology as a crucial discipline of geodiversity using RS are provided, discussing the implementation of RS technologies such as LiDAR, RADAR, as well as multi-spectral and hyperspectral sensor technologies. Furthermore, data products and RS technologies that could be used in the future for monitoring geomorphology are introduced. The use of spectral traits (ST) and spectral trait variation (STV) approaches with RS enable the status, changes, and disturbances of geomorphic diversity to be monitored. We focus on the requirements for future geomorphology monitoring specifically aimed at overcoming some key limitations of ecological modeling, namely: the implementation and linking of in-situ, close-range, air- and spaceborne RS technologies, geomorphic traits, and data science approaches as crucial components for a better understanding of the geomorphic impacts on complex ecosystems. This paper aims to impart multidimensional geomorphic information obtained by RS for improved utilization in biodiversity monitoring.

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Section: Fluvial Landformsmentioning

confidence: 99%

Linking the Remote Sensing of Geodiversity and Traits Relevant to Biodiversity—Part II: Geomorphology, Terrain and Surfaces

Lausch

Schaepman

Skidmore³

et al. 2020

Remote Sensing

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show abstract

“…Efficient numerical models such as HEC-RAS, rapid flood evaluation models, or data-driven models are commonly applied to meet the requirement of a short response time [119,121]. In conclusion, much research has put a lot of effort into remote sensing monitoring technologies such as Synthetic Aperture Radar (SAR) flood detection [122]. Its 24-hour, all-weather monitoring capability can improve the accuracy of inundation area detection.…”

Section: Monitoringmentioning

confidence: 99%

A General Overview of the Risk-Reduction Strategies for Floods and Droughts

Yang

Liu

2020

Sustainability

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Water is a limited resource but essential to sustaining life and supporting economic development. Only 2.5% of all the water on Earth is freshwater and can be used to meet basic human needs such as a clean supply of water for drinking, cooking, and bathing. Water scarcity is the result of an imbalance between supply and demand. Efficient water resource management is definitely of interest to research and is a practical topic. At the same time, water-related disasters such as floods and droughts cause the loss of life and property. Disasters increase the difficulty of effective water resource management. An increase in climate extremes can also increase the risk of floods and droughts. This overview covers 150 peer-reviewed journal publications from the last twenty years focusing on risk-reduction strategies for floods and droughts. First, a definition and classification of flood and drought was introduced. Second, studies and techniques associated with risk reduction were grouped into three themes and discussed: prediction and warning; monitoring; and impact assessment, response, and management. As a result, many studies were solely focused on, and achieve excellence in, their own themes. Special attention was needed to find in these studies what can convert the adverse impacts such as flood water to positive outcomes such as drought relief. Multidisciplinary cooperation is necessary to achieve sustainability and to adapt to climate change. Finally, advanced techniques such as artificial intelligence (AI) and the internet of things (IoT) were foreseen to have a tremendous impact on future disaster risk reduction.

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“…At longer radar wavelengths (e.g., L-or P-band), however, several successful approaches have been developed and been demonstrated [see for example, Hess et al (1990) for an extensive review], although satellites carrying L-band sensors are fewer and images are currently not freely available. Even at shorter, more commonly used wavelengths, such as C-or X-band, approaches have been published (Pierdicca et al, 2017;Plank et al, 2017;El Hajj et al, 2019;Grimaldi et al, 2020) but their application has only seen limited success. Multi-satellite data, including passive microwave, have also been used successfully to map global wetland inundation dynamics (Prigent et al, 2012) and recent innovative approaches have looked at GNSS-R technology to improve the mapping of flooded forests (Rodriguez-Alvarez et al, 2019).…”

Section: Application Environmentsmentioning

confidence: 99%

Grand Challenges in Microwave Remote Sensing

Schumann

2020

Front. Remote Sens.

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Flood mapping under vegetation using single SAR acquisitions

Cited by 113 publications

References 96 publications

Linking the Remote Sensing of Geodiversity and Traits Relevant to Biodiversity—Part II: Geomorphology, Terrain and Surfaces

Linking the Remote Sensing of Geodiversity and Traits Relevant to Biodiversity—Part II: Geomorphology, Terrain and Surfaces

A General Overview of the Risk-Reduction Strategies for Floods and Droughts

Grand Challenges in Microwave Remote Sensing

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