Skip to main content

Satellite Signature

Satellite signature-based evidence in exploring sub-districts susceptible to hyperthermia



Identifying administrative sub-districts vulnerable to hyperthermia is critical in formulating transparent policies based on comprehensive, area-wide data. However, previous studies have yet to use satellite imagery to explore administrative sub-districts susceptible to hyperthermia in a local-specific community setting.

Therefore, this study aims to evaluate whether the area-wide land surface temperature retrieved from thermal satellite imagery can be an indirect indicator to explore administrative sub-districts susceptible to hyperthermia. Landsat 8 satellite data were used to retrieve the area-wide land surface temperature. Daegu metropolitan city considered the representative heatwave city in South Korea, was examined to explore the sub-districts susceptible to hyperthermia.

Administrative sub-districts with a high concentration of low-income residents who cannot operate air conditioning during the summer were particularly susceptible to hyperthermia. Meanwhile, wealthy administrative sub-districts with the highest real estate prices were least susceptible to hyperthermia. The study findings are expected to establish the foundation for a data-driven, standardized approach to identifying sub-districts at high risk for hyperthermia in age-friendly communities.

Signal processing, signal strength, wireless signal, digital signal, analog signal, weak signal, strong signal, modulation, demodulation, frequency signal, noise signal, signal analysis, signal integrity, communication signal, electrical signal, biomedical signal, control signal, signal transmission, signal detection, signal measurement

#SignalProcessing, #SignalStrength, #DigitalSignal, #AnalogSignal, #WeakSignal, #StrongSignal, #ModulationSignal, #DemodulationSignal, #FrequencySignal, #NoiseSignal, #SignalAnalysis, #SignalIntegrity, #CommunicationSignal, #ElectricalSignal, #BiomedicalSignal, #ControlSignal, #SignalTransmission, #SignalDetection, #SignalMeasurement, #WirelessSignal

International Conference on Network Science and Graph Analytics

Visit: networkscience.researchw.com

Award Nomination: networkscience-conferences.researchw.com/award-nomination/?ecategory=Awards&rcategory=Awardee

For Enquiries: support@researchw.com

Get Connected Here
---------------------------------
---------------------------------
instagram.com/network_science_awards
tumblr.com/emileyvaruni
in.pinterest.com/network_science_awards
networkscienceawards.blogspot.com
youtube.com/@network_science_awards

Comments

Post a Comment

Popular posts from this blog

HealthAIoT: Revolutionizing Smart Healthcare! HealthAIoT combines Artificial Intelligence and the Internet of Things to transform healthcare through real-time monitoring, predictive analytics, and personalized treatment. It enables smarter diagnostics, remote patient care, and proactive health management, enhancing efficiency and outcomes while reducing costs. HealthAIoT is the future of connected, intelligent, and patient-centric healthcare systems. What is HealthAIoT? HealthAIoT is the convergence of Artificial Intelligence (AI) and the Internet of Things (IoT) in the healthcare industry. It integrates smart devices, sensors, and wearables with AI-powered software to monitor, diagnose, and manage health conditions in real-time. This fusion is enabling a new era of smart, connected, and intelligent healthcare systems . Key Components IoT Devices in Healthcare Wearables (e.g., smartwatches, fitness trackers) Medical devices (e.g., glucose monitors, heart rate sensors) Rem...
Post a Comment
Read more
Detecting Co-Resident Attacks in 5G Clouds! Detecting co-resident attacks in 5G clouds involves identifying malicious activities where attackers share physical cloud resources with victims to steal data or disrupt services. Techniques like machine learning, behavioral analysis, and resource monitoring help detect unusual patterns, ensuring stronger security and privacy in 5G cloud environments. Detecting Co-Resident Attacks in 5G Clouds In a 5G cloud environment, many different users (including businesses and individuals) share the same physical infrastructure through virtualization technologies like Virtual Machines (VMs) and containers. Co-resident attacks occur when a malicious user manages to place their VM or container on the same physical server as a target. Once co-residency is achieved, attackers can exploit shared resources like CPU caches, memory buses, or network interfaces to gather sensitive information or launch denial-of-service (DoS) attacks. Why are Co-Resident Attack...
Post a Comment
Read more
 How Network Polarization Shapes Our Politics! Network polarization amplifies political divisions by clustering like-minded individuals into echo chambers, where opposing views are rarely encountered. This reinforces biases, reduces dialogue, and deepens ideological rifts. Social media algorithms further intensify this divide, shaping public opinion and influencing political behavior in increasingly polarized and fragmented societies. Network polarization refers to the phenomenon where social networks—both offline and online—become ideologically homogenous, clustering individuals with similar political beliefs together. This segregation leads to the formation of echo chambers , where people are primarily exposed to information that reinforces their existing views and are shielded from opposing perspectives. In political contexts, such polarization has profound consequences: Reinforcement of Biases : When individuals only interact with like-minded peers, their existing beliefs bec...
Post a Comment
Read more