Zobrazeno 1 - 10
of 99
pro vyhledávání: '"Jung-Sup Um"'
Autor:
Abhishek Lakhote, Girish Ch Kothyari, Atul Kumar Patidar, Jayshree Changmai, Rashmi Borgohain, Tanupriya Choudhury, Jung-Sup Um
Publikováno v:
Remote Sensing, Vol 15, Iss 20, p 4963 (2023)
Ground deformation on a regional to local scale is the consequence of a wide range of natural processes such as tectonic and anthropogenic activities. Globally, the over-extraction of groundwater and hydrocarbon exploitation are the primary causes of
Externí odkaz:
https://doaj.org/article/d92b95974e7d44fda28a6955bd45e0ed
Publikováno v:
Remote Sensing, Vol 14, Iss 18, p 4536 (2022)
In recent decades, European countries have faced repeated heat waves. Traditionally, atmospheric CO2 concentration linked to repeated heat wave-induced photosynthetic inhibition has been explored based on local-specific in-situ observations. However,
Externí odkaz:
https://doaj.org/article/34efdb7e6d2d4d2bab6a0f7f64a32934
Publikováno v:
Remote Sensing, Vol 14, Iss 5, p 1220 (2022)
Monitoring the malfunction of the solar cells (for instance, 156 mm by 156 mm) caused by the soil debris requires a very low flight altitude when taking aerial photos, utilizing the autopilot function of unmanned aerial vehicle (UAV). The autopilot f
Externí odkaz:
https://doaj.org/article/e15db6433bac4adaa159d1aa783df9f4
Publikováno v:
Remote Sensing, Vol 13, Iss 23, p 4770 (2021)
The unmanned aerial vehicle (UAV) autopilot flight to survey urban rooftop solar panels needs a certain flight altitude at a level that can avoid obstacles such as high-rise buildings, street trees, telegraph poles, etc. For this reason, the autopilo
Externí odkaz:
https://doaj.org/article/b00affacafa5461f9f6b751ee835f334
Publikováno v:
Remote Sensing, Vol 13, Iss 14, p 2745 (2021)
It is common practice for unmanned aerial vehicle (UAV) flight planning to target an entire area surrounding a single rooftop’s photovoltaic panels while investigating solar-powered roofs that account for only 1% of the urban roof area. It is very
Externí odkaz:
https://doaj.org/article/3decc8a93da24a4e941a52da3cd346c1
Publikováno v:
Energies, Vol 14, Iss 11, p 3030 (2021)
Due to the globally increasing share of renewable energy sources like wind and solar power, precise forecasts for weather data are becoming more and more important. To compute such forecasts numerous authors apply neural networks (NN), whereby models
Externí odkaz:
https://doaj.org/article/f74d7300a9514e7ab6fc43fa09e062a3
Evaluating the Causal Relations between the Kaya Identity Index and ODIAC-Based Fossil Fuel CO2 Flux
Publikováno v:
Energies, Vol 13, Iss 22, p 6009 (2020)
The Kaya identity is a powerful index displaying the influence of individual carbon dioxide (CO2) sources on CO2 emissions. The sources are disaggregated into representative factors such as population, gross domestic product (GDP) per capita, energy
Externí odkaz:
https://doaj.org/article/104b4fe55fb243b79ed36ff2fb9a9a02
Publikováno v:
Energies, Vol 12, Iss 14, p 2787 (2019)
It is quite difficult to find studies regarding area-wide data from UAV (Unmanned Aerial Vehicle) remote sensing in evaluating the energy saving performance of a cool roof. Acknowledging these constraints, we investigated whether LRV (Light Reflectan
Externí odkaz:
https://doaj.org/article/1cffa93ee2534e35af7db975cbd5ce3e
Autor:
Sun-Bi Um, Jung-Sup Um
Publikováno v:
Geospatial Health, Vol 10, Iss 2 (2015)
The geographic concentration of chronic sleep deprivation (CSD) remains largely unexplored. This paper examined the community-specific spatial pattern of the prevalence of CSD and the presence of clustered spatial hotspots among the Korean elderly po
Externí odkaz:
https://doaj.org/article/a6eca356a1834238a7f381f9a694f7f5
Publikováno v:
Spatial Information Research. 31:253-263