인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
피인용 0
초록·키워드
Purpose: This study analyzes the impacts of urban development on Land Surface Temperature (LST) across 68 coastal cities in Java Island, Indonesia (2000~2023). Understanding how urbanization affects LST is crucial for climate-responsive planning in these vulnerable areas. Method: Land cover was extracted using Landsat, while LST and climatic variables were derived from MODIS and CHIRPS datasets. These spatial data were integrated with socioeconomic indicators to construct a panel dataset, which was then tested using panel regression. Nine independent variables were tested, including total population, population density, GDP, GDP/capita, economic growth, built-up area, vegetation proportion, rainfall, and albedo. Through diagnostic tests, the Fixed Effects was selected as the best fit. Result: Land cover experienced an average 15% loss of vegetation, due to the conversion of cropland and sparse vegetation, especially in mid-sized cities such as Tangerang and Sleman. LST along the northern industrial corridor showed a higher trend, while southern cities remained cooler due to vegetation and topography. Population density and economic growth have a positive influence on LST, with a 0.17℃ temperature increase for every 1,000 people/km2 , and each 1% increase in economy growth corresponds to a 0.10℃ increase in LST. Vegetation, albedo, and rainfall had adverse effects on LST, with a 10% increase in vegetation lowering LST by 0.11℃, a 0.1 rise in average albedo by 1.24℃, and 100 mm rise in rainfall by 0.019℃. These patterns highlight the importance of integrating spatial and ecological considerations into climate-responsive urban planning.
본문·목차
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