Deriving wetland-cover types (WCTs) from integration of multispectral indices based on Earth observation data

Singh, Manudeo; Allaka, Satyasri; Gupta, Praveen Kumar; Patel, J. G.; Sinha, Rajiv

doi:10.1007/s10661-022-10541-7

Cited by 5 publications

(2 citation statements)

References 35 publications

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“…It has a catchment area of 3560 km². According to archaeological evidence, the lake once was connected to the sea, but as years passed, it split and formed its existence as Chilika Lake (Singh et al 2022). The lake's water level is principally determined by water supplies from streams, particularly the Daya River, and tidal flushing from the Bay of Bengal (Somani et al 2022).…”

Section: Study Areamentioning

confidence: 99%

Land Use/Cover Dynamics and Associated Impacts on Eutrophication, Land Surface Temperature, and Ecosystem Service Values: An Eco-Climatological Investigation of Chilika Lake, India.

Saini,

Gupta

et al. 2023

Preprint

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Asia’s largest water lagoon, Chilika Lake, located in Odisha, India, is a vital economic and environmental source for the region. For the last few decades, many studies provided fragmented reports on the rapid deterioration of environmental conditions due to climate changes from intensive urban and industrial activities. The present study, for the first time provides comprehensive information about the transition of the landscape, which had occurred in the region with their associated impact on surface temperature and ecological services. Remote sensing techniques were utilised to classify land use and land cover dynamics over a period of 30 years (1991–2021). Landsat data were used to create maps for the Normalised Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI), and Land Surface Temperature (LST) to apprehend the spatial and temporal variability and its ecological functions. The findings revealed that the lake area shrank by around 11.7% in the last three decades, owing to the conversion of mangrove and wetland areas into agricultural and urban land. The NDVI maps revealed a decline in plant cover in the catchment region, indicating a decrease in the lake's ecological services, whereas the NDWI maps indicated a reduction in the catchment area of the lake, and these maps highlighted eutrophication spots on lake surface images due to increasing nutrient concentrations and decreased water quality in the lake. LST maps indicated a rise in surface temperature, which might be attributed to decreasing vegetative cover and water bodies, which tend to alter the lake's thermal regime. The CA-Markov model forecast map for 2026 suggested that the lake area would further decrease while urban and agricultural land would rise. The prediction map for 2021 compared to the existing map showed a slight improvement in lake levels caused by the pandemic, limited urban activity, and other possibilities.

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Section: Study Areamentioning

confidence: 99%

Land Use/Cover Dynamics and Associated Impacts on Eutrophication, Land Surface Temperature, and Ecosystem Service Values: An Eco-Climatological Investigation of Chilika Lake, India.

Saini,

Gupta

et al. 2023

Preprint

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“…A recent wetland-scale implementation is the use of Wetland Cover Types (WCT) approach that exploits satellite imageries to classify the wetland covers. The WCT approach [16][17][18][19][20] could include, but not limited to, on-screen digitization [21], thresholding of multispectral indices e.g., [17,20], and object-oriented classification e.g., [18,19]. Other approaches for wetland-scale assessment involve the use of various landscape, physical, chemical, biological, and social indicators e.g., [22][23][24].…”

Section: Introductionmentioning

confidence: 99%

Integrating Hydrological Connectivity in a Process–Response Framework for Restoration and Monitoring Prioritisation of Floodplain Wetlands in the Ramganga Basin, India

Singh

Sinha

2022

Water

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Floodplain wetlands are critical for sustaining various ecological and hydrological functions in a riverine environment. Severe anthropogenic alterations and human occupation of floodplains have threatened these wetlands in several parts of the world. A major handicap in designing sustainable restoration and monitoring strategies for these wetlands is the lack of scientific process-based understanding and information on the basin-scale controls of their degradation. Here, we offer a novel approach to integrate the connectivity of the wetlands with the surrounding landscape along with other attributes such as stream density, hydrometeorological parameters, and groundwater dynamics to explain their degradation and then to prioritise them for restoration and monitoring. We hypothesise that the best possible connectivity scenario for the existence of a wetland would be if (a) the wetland has a high connectivity with its upslope area, and (b) the wetland has a low connectivity with its downslope region. The first condition ensures the flow of water into the wetland and the second condition allows longer water residence time in the wetland. Accordingly, we define four connectivity-based wetland health scenarios—good, no impact, bad, and worst. We have implemented the proposed method in 3226 wetlands in the Ramganga Basin in north India. Further, we have applied specific selection criteria, such as distance from the nearest stream and stream density, to prioritise the wetlands for restoration and monitoring. We conclude that the connectivity analysis offers a quick process-based assessment of wetlands’ health status and serves as an important criterion to prioritise the wetlands for developing appropriate management strategies.

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Assessment of Wetland Ecosystem’s Health Using Remote Sensing – Case Study: Burullus Wetland – Ramsar Site

Hotaiba,

Salem,

Halmy

2023

Estuaries and Coasts

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Complex ecosystems as wetlands are very sensitive to changes and disturbances. Human activities causing habitat fragmentation that alter landscapes affect the wetland ecosystems and negatively influence biodiversity. The health of the ecosystem is measured as a homeostasis between the system components and stability or resilience of the system against disturbance; therefore, any anthropogenic disturbances can cause dramatic changes in the balance of wetland ecosystem. Burullus, the second largest of the Egyptian northern coastal wetlands along the Mediterranean coast, has been recognized recently as critically endangered ecosystem according to an assessment using IUCN Red List of ecosystems. The study sought to assess Burullus wetland’s health based on multispectral indicators related to the structure, function, and resilience of the ecosystem. Three indices were calculated to quantify the health of the wetland: the structure index, vigor index, and resilience index. The overall status of the wetland indicates a dynamic state and rapid transformation, which occurred over the study period. The outcomes indicated that Burullus’s health has progressively deteriorated in the recent investigated years of 2016 and 2019 compared to the reference years of 1984 and 1986. The assessed indicators revealed a trend towards more deterioration of its ecological system due to the LULC transformations, anthropogenic interventions, and overexploitation of its natural resources. In addition, the growth in the impervious surfaces by 9% in the recent years due to expansion in urbanization was detected. All of these factors may affect the ecological balance and the health of the wetland to some extent. The fragility of this wetland and the continuous fragmentation of it occurs due to human activities that threaten its important and unique habitats. The integrated framework for the assessment of Burullus wetland’s health based on remotely sensed data and using geospatial techniques can be utilized for the assessment of other similar coastal wetlands at national and regional scales.

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Deriving wetland-cover types (WCTs) from integration of multispectral indices based on Earth observation data

Cited by 5 publications

References 35 publications

Land Use/Cover Dynamics and Associated Impacts on Eutrophication, Land Surface Temperature, and Ecosystem Service Values: An Eco-Climatological Investigation of Chilika Lake, India.

Land Use/Cover Dynamics and Associated Impacts on Eutrophication, Land Surface Temperature, and Ecosystem Service Values: An Eco-Climatological Investigation of Chilika Lake, India.

Integrating Hydrological Connectivity in a Process–Response Framework for Restoration and Monitoring Prioritisation of Floodplain Wetlands in the Ramganga Basin, India

Assessment of Wetland Ecosystem’s Health Using Remote Sensing – Case Study: Burullus Wetland – Ramsar Site

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