Indices based assessment of built-up density and urban expansion of fast growing Surat city using multi-temporal Landsat data sets

Shahfahad, .; Mourya, Mukesh; Kumari, Babita; Tayyab, Mohammad; Paarcha, Aruna; Asıf,

doi:10.1007/s10708-020-10148-w

Cited by 45 publications

(10 citation statements)

References 64 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The positive NDBI values show built-up areas (Shahfahad et al 2021 ). Urbanization increases the amount of impervious surface area in a location, slowing the hydrologic system's response time and thereby increasing the risk of flooding (Feng et al 2021 ).…”

Section: Resultsmentioning

confidence: 99%

Flood vulnerability of a few areas in the foothills of the Western Ghats: a comparison of AHP and F-AHP models

Senan

Ajin

Danumah

et al. 2022

Stoch Environ Res Risk Assess

View full text Add to dashboard Cite

Flooding is one of the most destructive natural catastrophes that can strike anywhere in the world. With the recent, but frequent catastrophic flood events that occurred in the narrow stretch of land in southern India, sandwiched between the Western Ghats and the Arabian Sea, this study was initiated. The goal of this research is to identify flood-vulnerable zones in this area by making the local self governing bodies as the mapping unit. This study also assessed the predictive accuracy of analytical hierarchy process (AHP) and fuzzy-analytical hierarchy process (F-AHP) models. A total of 20 indicators (nine physical-environmental variables and 11 socio-economic variables) have been considered for the vulnerability modelling. Flood-vulnerability maps, created using remotely sensed satellite data and geographic information systems, was divided into five zones. AHP and F-AHP flood vulnerability models identified 12.29% and 11.81% of the area as very highvulnerable zones, respectively. The receiver operating characteristic (ROC) curve is used to validate these flood vulnerability maps. The flood vulnerable maps, created using the AHP and F-AHP methods, were found to be outstanding based on the area under the ROC curve (AUC) values. This demonstrates the effectiveness of these two models. The results of AUC for the AHP and F-AHP models were 0.946 and 0.943, respectively, articulating that the AHP model is more efficient than its chosen counterpart in demarcating the flood vulnerable zones. Decision-makers and land-use planners will find the generated vulnerable zone maps useful, particularly in implementing flood mitigation plans.

show abstract

Section: Resultsmentioning

confidence: 99%

Flood vulnerability of a few areas in the foothills of the Western Ghats: a comparison of AHP and F-AHP models

Senan

Ajin

Danumah

et al. 2022

Stoch Environ Res Risk Assess

View full text Add to dashboard Cite

show abstract

“…The NDBI value close to 0 represents woodland, the NDBI value less than 0 represents a body of water, and the NDBI value greater than 0 represents built-up areas (Zha et al 2003). NDBI was extracted using Equation 2 (Shahfahad et al 2020) and ArcGIS spatial analyst tools.…”

Section: Ndbimentioning

confidence: 99%

Evaluation of the prediction capability of AHP and F-AHP methods in flood susceptibility mapping of Ernakulam district (India)

Vilasan

Kapse

2022

Nat Hazards

View full text Add to dashboard Cite

show abstract

“…The accuracy of LULC maps has been investigated using methodology such as the Kappa coefficient (Rahman et al 2019). The kappa coefficient was calculated using the formula below in Equation (4) (Shahfahad et al 2020).…”

Section: Land Use Mapping Between 1990 and 2020 And Their Change Dete...mentioning

confidence: 99%

Assessment of river morphology based on changes in land use and land cover and the spatial and temporal variation of meandering parameters of the barak river

Nath

Ghosh

2022

Water Practice and Technology

View full text Add to dashboard Cite

River morphology describes a river's cross-sectional shape, sedimentation, and erosion. The meandering parameters, oxbow formation and decadal Land usage Land Cover fluctuations of Barak River were investigated using 21 meandering spans to measure river morphological changes. The decadal meandering parameters were calculated reach-wise and section-wise to characterize river morphological changes. It was observed from the paired t-test that the river width significantly changed during the study period (1990–2020). Strong inter-relationships between the meandering parameters are shown from the regression analysis. The morphological investigation found a reduction in the centerline distance due to variations in the radius of curvature caused by the internal arc's reduction. As a result, the average sinuosity has decreased over time. The current work used SVM and ML techniques for LULC classification, and a comparison of ML and SVM techniques was also done. The SVM technique performs better. The decadal LULC analysis suggests that between 1990 and 2020, the areas of water bodies, forests, and bare land types declined. Whereas, agricultural and settlement areas increased. River morphology is substantially impacted by agriculture and urbanization, particularly in areas where oxbows occur simultaneously, since this work may apply to other similar meandering river management along the alluvial flood plain.

show abstract

Indices based assessment of built-up density and urban expansion of fast growing Surat city using multi-temporal Landsat data sets

Cited by 45 publications

References 64 publications

Flood vulnerability of a few areas in the foothills of the Western Ghats: a comparison of AHP and F-AHP models

Flood vulnerability of a few areas in the foothills of the Western Ghats: a comparison of AHP and F-AHP models

Evaluation of the prediction capability of AHP and F-AHP methods in flood susceptibility mapping of Ernakulam district (India)

Assessment of river morphology based on changes in land use and land cover and the spatial and temporal variation of meandering parameters of the barak river

Contact Info

Product

Resources

About