Abstract Satellite‐based precipitation products (SPPs) have gained popularity among researchers due to their utility in hydrologic studies. Several gridded satellite‐based with global coverage, such as the Integrated Multi‐satellitE Retrievals for GPM (IMERG) and Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN) family of products, are available worldwide. However, accuracy these may vary retrieval algorithms or geographic location....

This study aimed to compare and evaluate three satellite-based precipitation estimation products: Integrated Multi-satellitE Retrievals for Global Precipitation Measurement Early Run (IMERG-Early Run), Climate Prediction Center MORPHing technique Real Time (CMORPH-RT), Estimation from Remotely Sensed Information using Artificial Neural Networks-Dynamic Infrared Rain rate Now (PDIR-Now) identify the optimal integration strategies improve extreme rainfall during Super Typhoon Yagi (September,...

Climate change is a global concern driven by greenhouse gas emissions. Bangladesh, being densely populated and significant carbon emitter, must urgently reduce its “carbon-dioxide emissions”. The primary objectives of this research are to meticulously examine the impact green growth, non-renewable energy, renewable technological innovations on dioxide emissions in Bangladesh from 1990 2020, with goal informing policies for effective sustainable climate mitigation Bangladesh. analysis using...

COVID-19 is a disease-causing coronavirus strain that emerged in December 2019 led to an ongoing global pandemic. The ability anticipate the pandemic’s path critical. This important order determine how combat and track its spread. data example of time-series where several methods can be applied for forecasting. Although various forecasting models are available, it difficult draw broad theoretical conclusions regarding their relative merits. paper presents empirical evaluation cases,...

Und erstanding the sources and mechanisms of aquifer recharge is critical for water resource management. So far, this first comprehensive study to explore groundwater applying stable environmental isotopes hydrogeochemical properties in Southwestern Bangladesh. Water samples from different (groundwater, surface (pond), river rain water) high arsenic (As) Holocene aquifers were used investigate chemical tracers (δ18O δ2H) hydrogeological features, sources, processes. The analytical results...

The wind is one of the most important sources renewable energy. However, it associated with many challenges, notable being determining suitable locations for power farms based on different evaluation criteria. In this study, we investigated suitability farm sites in Red Sea off coast Saudi Arabia using analytical hierarchy process (AHP) and a Geographic Information System (GIS). We assessed offshore energy projects, differentiating between fixed floating turbines, identified 4180 km2 area as...

Understanding the movement, direction, and shape of sand dunes can contribute to reducing their impact on infrastructure environment. The Rub’ al Khali desert has a distribution dune types. This study aims identify map different types within using texture analysis method based digital elevation model (DEM). Statistical methods (variance, skewness, kurtosis) show three textures shapes, according geography dunes, data contained in global DEMs. presented this focused use DEMs investigate varied...

The Rub’ al Khali desert (or Empty Quarter) is the largest and perhaps most significant sand sea in world. Located on southern Arabian Peninsula, dune field has remained largely unexplored owing to harsh clime difficult terrain. This study takes advantage of geospatial technology (interpolations, supervised classification, minimum focal statistic) extract information from data contained global Digital Elevation Model (DEM)s, satellite imagery. main objective here identify map different forms...

In the midst of global efforts to curb spread infectious diseases, researchers worldwide are striving unravel intricate spatial and temporal patterns disease transmission dynamics. Mathematical models indispensable tools for understanding dissemination emerging pathogens elucidating evolution epidemics. This paper introduces a novel approach by investigating city networks as framework analyzing spread. this network, major cities depicted nodes interconnected edges representing pathways....

The study put forward a data fusion approach for urban remote sensing that combines SAR (Synthetic Aperture Radar) and optical satellite data. By integrating datasets from different sensors spatial-temporal scales, the technique aims to extract more accurate information. utilizes two methods: feature-based fusion, where relevant features are extracted fused, simple layer stacking (SLS), original directly stacked as multiple layers. This using textures (using Sentinel-1) modified indices...

Solar energy is one of the renewable sources that can be tapped and an inexhaustible source. The aim study to identify suitable locations for collecting photovoltaic in Kingdom Saudi Arabia base on Boolean models. used several data from official authorities open-source websites which divided three criteria: topographic, climatic, economic. are Photovoltaic energy, temperature, slope, sand dune locations, distance major cities, road network, power network. results showed amount Arabia, but...

Access to green spaces considering urban development and sprawl provides people with better health conditions.In addition, the presence of for residents enhances well-being, public environmental justice.Therefore, there is a need assess quality ensure their level accessibility.This study aims in terms accessibility new residential neighbourhoods north Riyadh city.Using GIS, three distances 300, 500, 700 meters were chosen as criterion measuring they are recommended measurements previous...