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View article: Integration of fuzzy AHP and explainable AI for effective coastal risk management: A micro-scale risk analysis of tropical cyclones
Integration of fuzzy AHP and explainable AI for effective coastal risk management: A micro-scale risk analysis of tropical cyclones Open
The east coast of India, especially the coastal region of Odisha, is highly threatened by tropical cyclones. This study develops a detailed risk map for tropical cyclones in the coastal districts of Odisha at the micro level, focusing on t…
View article: Identification and transcriptional profiling of UV-A-responsive genes in Bemisia tabaci
Identification and transcriptional profiling of UV-A-responsive genes in Bemisia tabaci Open
Ultraviolet-A (UV-A) radiation directly impacts the growth and spread of Bemisia tabaci. However, the mechanistic pathways of this phenomenon remain unknown. We analyzed B. tabaci transcriptome data after exposure to UV-A radiation for 6 h…
View article: Identifying Most Suitable Priority Areas for Soil-Water Conservation Using Coupling Mechanism in Guwahati Urban Watershed
Identifying Most Suitable Priority Areas for Soil-Water Conservation Using Coupling Mechanism in Guwahati Urban Watershed Open
The urban watershed of Guwahati, Assam, has witnessed a rapid urbanization in recent years, making it to one of the most deteriorated cities in terms of environmental issues. Therefore, this work focused on finding the most suitable soil-w…
View article: Comparative evaluation of operational land imager sensor on board landsat 8 and landsat 9 for land use land cover mapping over a heterogeneous landscape
Comparative evaluation of operational land imager sensor on board landsat 8 and landsat 9 for land use land cover mapping over a heterogeneous landscape Open
Since its advent in 1972, the Landsat satellites have witnessed consistent improvements in sensor characteristics, which have significantly improved accuracy. In this study, a comparison of the accuracy of Landsat Operational Land Imager (…
View article: Prediction of land use changes at a metropolitan city using integrated cellular automata: past and future
Prediction of land use changes at a metropolitan city using integrated cellular automata: past and future Open
In the cities of developing countries like India, rapid and uncontrolled urbanization has been taking place due to continuous population growth in last few decades. As a result, land use/land cover (LU/LC) is changing very fast in the citi…
View article: A national-level study on groundwater potentiality mapping using a hybrid machine learning models under the scenario of climate change
A national-level study on groundwater potentiality mapping using a hybrid machine learning models under the scenario of climate change Open
A severe threat to natural resources and human livelihood is groundwater scarcity. Therefore, mapping groundwater potentiality (GWP) is necessary for future resource management. In this article, a framework for conducting ensemble modeling…
View article: Analysing Process and Probability of Built-Up Expansion Using Machine Learning and Fuzzy Logic in English Bazar, West Bengal
Analysing Process and Probability of Built-Up Expansion Using Machine Learning and Fuzzy Logic in English Bazar, West Bengal Open
The study sought to investigate the process of built-up expansion and the probability of built-up expansion in the English Bazar Block of West Bengal, India, using multitemporal Landsat satellite images and an integrated machine learning a…
View article: Assessing the Spatial Mapping of Heat Vulnerability under Urban Heat Island (UHI) Effect in the Dhaka Metropolitan Area
Assessing the Spatial Mapping of Heat Vulnerability under Urban Heat Island (UHI) Effect in the Dhaka Metropolitan Area Open
The urban heat island (UHI) phenomenon gets intensified in the process of urbanization, which increases the vulnerability of urban dwellers to heatwaves. The UHI-induced vulnerability to heatwaves has increased in Bangladesh during past de…
View article: Groundwater potentiality mapping using ensemble machine learning algorithms for sustainable groundwater management
Groundwater potentiality mapping using ensemble machine learning algorithms for sustainable groundwater management Open
Purpose The present study aims to construct ensemble machine learning (EML) algorithms for groundwater potentiality mapping (GPM) in the Teesta River basin of Bangladesh, including random forest (RF) and random subspace (RSS). Design/metho…
View article: Integration of statistical models and ensemble machine learning algorithms (MLAs) for developing the novel hybrid groundwater potentiality models: a case study of semi-arid watershed in Saudi Arabia
Integration of statistical models and ensemble machine learning algorithms (MLAs) for developing the novel hybrid groundwater potentiality models: a case study of semi-arid watershed in Saudi Arabia Open
The present study has proposed three novel hybrid models by integrating three traditional ensemble models, such as random forest, logitboost, and naive bayes, and six newly developed ensemble models of rotation forest (RF), such as decisio…
View article: A New Framework to Identify Most Suitable Priority Areas for Soil-Water Conservation Using Coupling Mechanism in Guwahati Urban Watershed, India, with Future Insight
A New Framework to Identify Most Suitable Priority Areas for Soil-Water Conservation Using Coupling Mechanism in Guwahati Urban Watershed, India, with Future Insight Open
View article: Quantification of Urban Sprawl for Past-To-Future in Abha City, Saudi Arabia
Quantification of Urban Sprawl for Past-To-Future in Abha City, Saudi Arabia Open
Given that many cities in Saudi Arabia have been observing rapid urbanization since the 1990s, scarce studies on the spatial pattern of urban expansion in Saudi Arabia have been conducted. Therefore, the present study invest... | Find, rea…
View article: Integration of statistical models and ensemble machine learning algorithms (MLAs) for developing the novel hybrid groundwater potentiality models: a case study of semi-arid watershed in Saudi Arabia
Integration of statistical models and ensemble machine learning algorithms (MLAs) for developing the novel hybrid groundwater potentiality models: a case study of semi-arid watershed in Saudi Arabia Open
The present study has proposed three novel hybrid models by integrating three traditional ensemble models, such as random forest, logitboost, and naive bayes, and six newly developed ensemble models of rotation forest (RF), such as decisio…
View article: Analysis of shoreline changes in Vishakhapatnam coastal tract of Andhra Pradesh, India: an application of digital shoreline analysis system (DSAS)
Analysis of shoreline changes in Vishakhapatnam coastal tract of Andhra Pradesh, India: an application of digital shoreline analysis system (DSAS) Open
Coastline or Shoreline calculation is one of the important factors in the finding of coastal accretion and erosion and the study of coastal morphodynamic. Coastal erosion is a tentative hazard for communities especially in coastal areas as…
View article: Modelling the Global Air Quality Conditions in Perspective of COVID-19 Stimulated Lockdown Periods Using Remote Sensing Data
Modelling the Global Air Quality Conditions in Perspective of COVID-19 Stimulated Lockdown Periods Using Remote Sensing Data Open
COVID-19 outbreak across the world has invited forced lockdown conditions, which causes a huge economic landslide. But it has brought an opportunity for restoring the environment of its own which may cause ecosystem well-being. Focusing on…
View article: Analyses of land use land cover (LULC) change and built-up expansion in the suburb of a metropolitan city: Spatio-temporal analysis of Delhi NCR using landsat datasets
Analyses of land use land cover (LULC) change and built-up expansion in the suburb of a metropolitan city: Spatio-temporal analysis of Delhi NCR using landsat datasets Open
View article: Analyzing trend and forecasting of rainfall changes in India using non-parametrical and machine learning approaches
Analyzing trend and forecasting of rainfall changes in India using non-parametrical and machine learning approaches Open
View article: Land-Use Land-Cover Classification by Machine Learning Classifiers for Satellite Observations—A Review
Land-Use Land-Cover Classification by Machine Learning Classifiers for Satellite Observations—A Review Open
Rapid and uncontrolled population growth along with economic and industrial development, especially in developing countries during the late twentieth and early twenty-first centuries, have increased the rate of land-use/land-cover (LULC) c…
View article: Dynamics of ecosystem services (ESs) in response to land use land cover (LU/LC) changes in the lower Gangetic plain of India
Dynamics of ecosystem services (ESs) in response to land use land cover (LU/LC) changes in the lower Gangetic plain of India Open
The ecosystems provide a range of material as well as non-material services that contribute to human well-being as well as supply necessary resources for the organisms. The land use/ land cover (LU/LC) changes have been taken place due to …
View article: Assessment of public open spaces (POS) and landscape quality based on per capita POS index in Delhi, India
Assessment of public open spaces (POS) and landscape quality based on per capita POS index in Delhi, India Open
View article: Role of Special Economic Zone (SEZs) in Creation of Employment, Investment and Export in India
Role of Special Economic Zone (SEZs) in Creation of Employment, Investment and Export in India Open