Flood Inundation Mapping Using the Google Earth Engine and HEC-RAS Under Land Use/Land Cover and Climate Changes in the Gumara Watershed, Upper Blue Nile Basin, Ethiopia DOI Creative Commons
Haile Belay Desta, Assefa M. Melesse, Getachew Tegegne

et al.

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(7), P. 1283 - 1283

Published: April 3, 2025

Floods are among the most frequent and devastating climate-related hazards, causing significant environmental socioeconomic impacts. This study integrates synthetic aperture radar (SAR)-based flood mapping via Google Earth Engine (GEE) with hydraulic modeling in HEC-RAS to analyze dynamics downstream of Gumara watershed, Upper Blue Nile (UBN) Basin, Ethiopia. A change detection approach using Sentinel-1 imagery was employed generate inundation maps from 2017–2021. Among these events, events on 22 July, 3 August, 27 August 2019 were used calibrate model, achieving an F-score 0.57, overall accuracy (OA) 86.92%, a kappa coefficient (K) 0.62 across three events. Further validation ground control points (GCPs) resulted OA 86.33% K 0.72. Using calibrated simulations performed map for return periods 5, 10, 25, 50, 100 years. Additionally, conducted historical (1981–2005), near-future (2031–2055), far-future (2056–2080) under extreme climate scenarios. The results indicate increases 16.48% 27.23% area periods, respectively, SSP5-8.5 scenario compared period. These attributed primarily deforestation, agricultural expansion, intensified rainfall upstream watershed. comparison between SAR-based highlights advantages integrating remote sensing enhanced risk assessment. provides critical insights mitigation sustainable watershed management, emphasizing importance incorporating current future analyses policy planning efforts.

Language: Английский

Navigating the impact of climate change in India: a perspective on climate action (SDG13) and sustainable cities and communities (SDG11) DOI Creative Commons
Sharfaa Hussain, Ejaz Hussain, Pallavi Saxena

et al.

Frontiers in Sustainable Cities, Journal Year: 2024, Volume and Issue: 5

Published: Jan. 11, 2024

Climate change is a global concern of the current century. Its rapid escalation and ever-increasing intensity have been felt worldwide, leading to dramatic impacts globally. The aftermath climate in India has brought about profound transformation India's environmental, socio-economic, urban landscapes. In 2019, ranked seventh, among most affected countries by extreme weather events caused due changing climate. This impact was evident terms both, human toll with 2,267 lives lost, economic damage, which accounted for 66,182 million US$ Purchasing power parities (PPPs). Over recent years, experienced significant increase number frequency events, causing vulnerable communities. country severe air pollution problems several metropolitan cities highlighted list world's polluted cities. Additionally, become populous nation globally, boasting population 1.4 billion people, equating ~18% population, experiencing an increased rate consumption natural resources. Owing country's scenario, various mitigation strategies, including nature-based solutions, must be implemented reduce such support target achieving Sustainable Development Goals (SDGs). review tries holistic understanding effects on different sectors identify challenges SDG 13 11. Finally, it also future recommendations change-related research from Indian perspective.

Language: Английский

Citations

25
Global Flood Mapper: a novel Google Earth Engine application for rapid flood mapping using Sentinel-1 SAR DOI
Pratyush Tripathy, Teja Malladi

Natural Hazards, Journal Year: 2022, Volume and Issue: 114(2), P. 1341 - 1363

Published: June 21, 2022

Language: Английский

Citations

45
A New Clustering Method to Generate Training Samples for Supervised Monitoring of Long-Term Water Surface Dynamics Using Landsat Data through Google Earth Engine DOI Open Access
Alireza Taheri Dehkordi, Mohammad Javad Valadan Zoej, Hani Ghasemi

et al.

Sustainability, Journal Year: 2022, Volume and Issue: 14(13), P. 8046 - 8046

Published: June 30, 2022

Water resources are vital to the survival of living organisms and contribute substantially development various sectors. Climatic diversity, topographic conditions, uneven distribution surface water flows have made reservoirs one primary supply in Iran. This study used Landsat 5, 7, 8 data Google Earth Engine (GEE) for supervised monitoring dynamics reservoir eight Iranian dams (Karkheh, Karun-1, Karun-3, Karun-4, Dez, UpperGotvand, Zayanderud, Golpayegan). A novel automated method was proposed providing training samples based on an iterative K-means refinement procedure. The Function Mask (Fmask) initial map generate final samples. Then, Support Vector Machines (SVM) Random Forest (RF) models were trained with generated mapping. Results demonstrated satisfactory performance RF model procedure (with overall accuracies 95.13%) comparison direct Fmask 78.91%), indicating approach’s success producing three feature sets also evaluated. Tasseled-Cap (TC) achieved higher than Spectral Indices (SI) Principal Component Transformation Image Bands (PCA). However, simultaneous use all features (TC, SI, PCA) boosted classification accuracy. Moreover, long-term changes showed a downward trend five sites. Comparing latest year’s area (2021) maximum extent that sites experienced significant reduction (16–62%). Analysis climate factors’ impacts revealed precipitation (0.51 ≤ R2 0.79) more correlated temperature (0.22 0.39) changes.

Language: Английский

Citations

43
Development of an automated method for flood inundation monitoring, flood hazard, and soil erosion susceptibility assessment using machine learning and AHP–MCE techniques DOI Creative Commons

A. Jaya Prakash,

Sazeda Begam, Vít Vilímek

et al.

Geoenvironmental Disasters, Journal Year: 2024, Volume and Issue: 11(1)

Published: March 26, 2024

Abstract Background Operational large-scale flood monitoring using publicly available satellite data is possible with the advent of Sentinel-1 microwave data, which enables near-real-time (at 6-day intervals) mapping day and night, even in cloudy monsoon seasons. Automated inundation area identification involves advanced geospatial processing platforms, such as Google Earth Engine robust methodology (Otsu’s algorithm). Objectives The current study employs for extent machine learning (ML) algorithms Assam State, India. We generated a hazard soil erosion susceptibility map by combining multi-source on weather conditions terrain characteristics. Random Forest (RF), Classification Regression Tool (CART), Support Vector Machine (SVM) ML were applied to generate map. Furthermore, we employed multicriteria evaluation (MCE) analytical hierarchical process (AHP) mapping. Summary highest prediction accuracy was observed RF model (overall [OA] > 82%), followed SVM (OA 82%) CART 81%). Over 26% indicated high hazard-prone areas, approximately 60% showed severe potential due flooding. automated platform an essential resource emergency responders decision-makers, it helps guide relief activities identifying suitable regions appropriate logistic route planning improving timeliness response efforts. Periodic maps will help long-term policymaking, management, biodiversity conservation, land degradation, sustainable agriculture interventions, crop insurance, climate resilience studies.

Language: Английский

Citations

14
Unravelling Flood Risk in the Rel River Watershed, Gujarat using Coupled Earth Observations, Multi Criteria Decision Making and Google Earth Engine DOI Creative Commons
Keval H. Jodhani, Dhruvesh Patel,

N. Madhavan

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: 24, P. 102836 - 102836

Published: Sept. 3, 2024

Socioeconomic developments, ineffective drainage systems, and insufficient river control, all contribute to significant loss of property life due the constant threat floods. Therefore, controlling flood threats across Rel River, Dhanera, Gujarat has become even more crucial floods causing strain throughout area during monsoon season. The different 52 micro-watersheds were formed study region using earth observations for estimation hazards, vulnerability, risk. AHP-MCDM was employed assign priority rank, weightage, risk category each micro watershed. hazard zone mapped its vulnerability characterized in categories varying from very low high. normalized weights factor i.e, indicator (soil, elevation, slope, flow accumulation, rainfall) (LULC, distance hospital, population density map) estimated employing technique whereas LULC along with most other factors derived GEE. integration indicators, provides insights into understanding sensitivity, facilitating preparation map. 20 susceptible high covered an 213.15 km2 32 range moderate which covers 228.41 km2. GEE spectral indices obtaining various & prioritized ranked AHP is a unique methodology, robust evaluation mapping.

Language: Английский

Citations

9
Flood Risk Assessment of the Kosi River Basin in North Bihar using Synthetic Aperture Radar (SAR) data and AHP approach DOI Creative Commons
Sourav Kumar, Bikash Ranjan Parida,

K. K. Basheer Ahammed

et al.

Natural Hazards Research, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 1, 2025

Language: Английский

Citations

1
Assessing the efficacy of hydro-ecological based wetland management approach for flood resilience of a large river catchment DOI Creative Commons
Rishi Gupta, Vinay Chembolu, Timothy I. Marjoribanks

et al.

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 641, P. 131761 - 131761

Published: Aug. 6, 2024

Riverine flooding is a widespread global challenge and predicted to worsen with climate change. Wetlands have been recognised as potential nature-based solution (NbS) riverine flooding, but are rapidly degrading globally, reducing their capacity store water. Furthermore, in monsoon climates, natural wetlands can prove inadequate during peak flows, reaching early the season. Management rejuvenation of these provides method overcome limitations ensure efficacy solutions for flood risk reduction. In this study, hydro-ecological based management approach adopted that formulates storage release policy by considering threshold precipitation wetland ecological requirements assessing resilience both existing rejuvenated wetlands. The applied over large river catchment, Brahmaputra River, explore efficiency proposed under different scenarios assess influence location on Additionally, rainfall distribution number present zones operationality streamflow response analysed. showed reduction at catchment outlet 1–2 % up 8 maximum At sub-catchment scale, one major tributaries observed reductions ∼ 6 scenario 30 scenario. occurrence threat level events prominent cities was reduced 60 rejuvenation. findings study demonstrate impact NbS provide guidance help develop strategies sustainable catchment-scale practices enhance resilience.

Language: Английский

Citations

7
Geospatial Mapping and Meteorological Flood Risk Assessment: A Global Research Trend Analysis DOI Creative Commons

Phila Sibandze,

Ahmed Mukalazi Kalumba,

Amal H. Aljaddani

et al.

Environmental Management, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 12, 2024

Abstract Flooding is a global threat causing significant economic and environmental damage, necessitating policy response collaborative strategy. This study assessed research trends advances in geospatial meteorological flood risk assessment (G_MFRA), considering the ongoing debate on management adaptation strategies. A total of 1872 original articles were downloaded BibTex format using Web Science (WOS) Scopus databases to retrieve G_MFRA studies published from 1985 2023. The annual growth rate 15.48% implies that field has been increasing over time during period. analysis practice highlights key themes, methodologies, emerging directions. There exists notable gap data methodologies for between developed developing countries, particularly Africa South America, highlighting urgency coordinated efforts cohesive actions. challenges identified body extant literature include technical expertise, complex communication networks, resource constraints associated with application gaps methodologies. advocates holistic approach disaster through ecosystem-based underpins Sustainable Development Goals develop innovative techniques models potential influence decision-making domain. Addressing these requires networked partnership community, institutions, countries.

Language: Английский

Citations

7
Google Earth Engine: empowering developing countries with large-scale geospatial data analysis—a comprehensive review DOI
S Vijayakumar,

R Saravanakumar,

Mariadoss Arulanandam

et al.

Arabian Journal of Geosciences, Journal Year: 2024, Volume and Issue: 17(4)

Published: March 27, 2024

Language: Английский

Citations

6
Flood hazard mapping using GIS-based statistical model in vulnerable riparian regions of sub-tropical environment DOI Creative Commons

Anitabha Ghosh,

Uday Chatterjee, Subodh Chandra Pal

et al.

Geocarto International, Journal Year: 2023, Volume and Issue: 38(1)

Published: Nov. 20, 2023

Floods are a recurrent natural calamity that presents substantial hazards to human lives and infrastructure. The study indicates significant proportion of the area, specifically 27.05%, is classified as moderate flood risk zone (FRZ), while 20.78% designated high or very FRZ. region's low FRZ at 52.17%. GIS-based AHP model demonstrated exceptional predictive precision, achieving score 0.749 (74.90%) determined by AUC-ROC, widely used statistical evaluation tool. current has identified areas with in affected CD blocks, which situated low-lying plains, regions gentle slopes, drainage density, TWI, NDVI, MNDWI, population intensive agricultural land. findings this research offer perspectives for decision-makers, city planners, emergency management agencies devising efficient measures mitigate risks.

Language: Английский

Citations

14