Assessment of water body change and sedimentation rate in Moulay Bousselham wetland, Morocco, using geospatial technologies

Karim, M. Fazle; Maanan, Mehdi; Maanan, Mohamed; Rhinane, Hassan; Rueff, Henri; Baïdder, Lahssen

doi:10.1016/j.ijsrc.2018.08.007

Cited by 24 publications

(4 citation statements)

References 52 publications

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“…In this sense, erosion at the source, sediment transport and sediment deposition has been analysed independently. This is a major advance over other approaches that either consider only some of the processes in isolation, or cannot spatially discretise them to assess accurately in which terrestrial structures they occur [141][142][143]. In this way, our methodology identifies not only different forest habitats (e.g., riparian forests or hillside forests), but also different managing strategies (e.g., conservation or restoration), that could be applied at various scales and locations to reduce the sediment transfer between terrestrial and wetland ecosystems.…”

Section: Landscape Modelling Approachmentioning

confidence: 99%

From Forest Dynamics to Wetland Siltation in Mountainous Landscapes: A RS-Based Framework for Enhancing Erosion Control

et al. 2022

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Human activities have caused a significant change in the function and services that ecosystems have provided to society since historical times. In mountainous landscapes, the regulation of services such as water quality or erosion control has been impacted by land use and land cover (LULC) changes, especially the loss and fragmentation of forest patches. In this work, we develop a Remote Sensing (RS)-based modelling approach to identify areas for the implementation of nature-based solutions (NBS) (i.e., natural forest conservation and restoration) that allow reducing the vulnerability of aquatic ecosystems to siltation in mountainous regions. We used time series Landsat 5TM, 7ETM+, 8OLI and Sentinel 2A/2B MSI (S2) imagery to map forest dynamics and wetland distribution in Picos de Europa National Park (Cantabrian Mountains, northern Spain). We fed RS-based models with detailed in situ information based on photo-interpretation and fieldwork completed from 2017 to 2021. We estimated a forest cover increase rate of 2 ha/year comparing current and past LULC maps against external validation data. We applied this forest gain to a scenario generator model to derive a 30-year future LULC map that defines the potential forest extent for the study area in 2049. We then modelled the distribution of wetlands to identify the areas with the greatest potential for moisture accumulation. We used an S2 mosaic and topography-derived data such as the slope and topographic wetness index (TWI), which indicate terrain water accumulation. Overall accuracy scores reached values of 86% for LULC classification and 61% for wetland mapping. At the same time, we obtained the potential erosion using the NetMap software to identify potential sediment production, transport and deposition areas. Finally, forest dynamics, wetland distribution and potential erosion were combined in a multi-criteria analysis aiming to reduce the amount of sediment reaching selected wetlands. We achieved this by identifying the most suitable locations for the conservation and restoration of natural forests on slopes and in riparian areas, which may reduce the risk of soil erosion and maximise sediment filtering, respectively. The results show a network pattern for forest management that would allow for controlling erosion effects across space and time at three levels: one, by reducing the load that originates upslope in the absence of forest cover; two, by intersecting runoff at watercourses related to sediment transport; and three, by a lack of former barriers, by trapping erosion near to the receiving wetland systems, main river axes and contributing streams. In conclusion, the proposed methodology, which could be transferred to other mountain regions, allows to optimise investment for erosion prevention and wetland conservation by using only very specific areas of the landscape for habitat management (e.g., for NBS implementation).

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Section: Landscape Modelling Approachmentioning

confidence: 99%

From Forest Dynamics to Wetland Siltation in Mountainous Landscapes: A RS-Based Framework for Enhancing Erosion Control

et al. 2022

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“…Technologies such as remote sensing/ GIS, Unmanned Aerial Vehicles (UAV), and hydrological modeling are frequently used to remotely monitor hydroperiod alterations (Gómez-Rodríguez et al 2010 ), invasive species (Yadav et al 2017 ), water quality (Keith et al 2012 ), inundation, ecosystem services, and other pond water dynamics (Fu et al 2018 ; Karim et al 2019 ). With the availability of advanced, high-resolution light detection and ranging (LiDAR), hyperspectral, and multispectral satellite images, the large-scale mapping of the small and scattered ponds/tanks is feasible.…”

Section: Strategies For Pond Restoration Management and Conservationmentioning

confidence: 99%

Current Status of Ponds in India: A Framework for Restoration, Policies and Circular Economy

Yadav

Goyal

2022

Wetlands

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Healthy pond ecosystems are critical for achieving several sustainable development goals (SDG) through numerous ecosystem services (e.g., flood control, nutrient retention, and carbon sequestration). However, the socio-economic and ecological value of ponds is often underestimated compared to the larger water bodies. Ponds are highly vulnerable to mounting land-use pressures (e.g., urban expansion, and agriculture intensification) and environmental changes, leading to degradation and loss of the pond ecosystem. The narrow utilitarian use-based conservation fails to recognize the multiple anthropogenic pressures and provides narrow solutions which are inefficient to regenerate the degraded pond ecosystem. In this paper, we holistically examined the legal challenges (policies) and key anthropogenic and environmental pressures responsible for pond degradation in India. The country is strongly dedicated to attaining SDG and circular economy (CE) through aquatic ecosystem conservation and restoration. Considerable efforts are required at the administration level to recognize the contribution of pond ecosystem services in attaining global environmental goals and targets. Worldwide restoration strategies were reviewed, and a framework for pond restoration and conservation was proposed, which includes policies and incentives, technologies such as environmental-DNA (e-DNA), life cycle assessment (LCA), and other ecohydrological measures. Nature-based solutions (NBS) offer a sustainable and cost-effective approach to restoring the pond’s natural processes. Furthermore, linkage between the pond ecosystem and the CE was assessed to encourage a regenerative system for biodiversity conservation. This study informs the need for extensive actions and legislative reforms to restore and conserve the pond ecosystems. Supplementary Information The online version contains supplementary material available at 10.1007/s13157-022-01624-9.

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“…Water resources are the basis for human survival [1] . In recent years, under the background of global climate warming, the spatiotemporal unevenness and extreme phenomena of precipitation have gradually intensified, changing the water distribution characteristics of some lakes [2][3][4][5] . With the rapid development of remote sensing technology, a large number of earth observation satellites at home and abroad have been put into use, and the method of using remote sensing images to extract water body distribution information has become increasingly mature [6][7][8][9][10] .…”

Section: Introductionmentioning

confidence: 99%

Water body detection of South Dongting Lake based on remote sensing images from 2018 to 2022

Chen,

Deng,

Sui

et al. 2024

Second International Conference on Environmental Remote Sensing and Geographic Information Technology (ERSGIT 2023)

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Water body detection plays an important role in the field of ecological research, but efficient, accurate and automatic long-time water body detection methods still need to be explored. Therefore, this paper proposes a water body detection method based on Google earth engine, which is based on the automatic threshold recognition principle of the OTSU method, and conducts automatic water detection of a total of 135 Sentinel-1 images of South Dongting Lake from 2018 to 2022. The study shows that the overall classification accuracy of the method is 92.61%, and the Kappa coefficient is 0.86, and the results reflect the impact of extreme climate change on the seasonal water distribution of South Dongting Lake.

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Assessment of water body change and sedimentation rate in Moulay Bousselham wetland, Morocco, using geospatial technologies

Cited by 24 publications

References 52 publications

From Forest Dynamics to Wetland Siltation in Mountainous Landscapes: A RS-Based Framework for Enhancing Erosion Control

From Forest Dynamics to Wetland Siltation in Mountainous Landscapes: A RS-Based Framework for Enhancing Erosion Control

Current Status of Ponds in India: A Framework for Restoration, Policies and Circular Economy

Water body detection of South Dongting Lake based on remote sensing images from 2018 to 2022

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