인공신경망 및 시나리오 분석을 활용한 지표온도 예측모델의 적용

The application of a prediction model on land surface temperature using Artificial Neural Network and Scenario

The increase in the artificial environment, which is the main cause of the urban heat island, is directly associated with changes in land use and land cover(Streutker, 2003). Land use and land cover can be viewed as resulting from constant change by human activities from the past to the present, and these changes can be considered the fundamental cause of the destruction of the ecosystem(Singh, 1995; Voogt and Oke, 2003). Therefore, for accurate judgment of the urban environment, climate, response, management, collection, and accumulation of highly precise land use and land cover data of the latest information is required(Assefa, 2004).

The increase in the artificial environment, which is the main cause of the urban heat island, is directly associated with changes in land use and land cover(Streutker, 2003). Land use and land cover can be viewed as resulting from constant change by human activities from the past to the present, and these changes can be considered the fundamental cause of the destruction of the ecosystem(Singh, 1995; Voogt and Oke, 2003). Therefore, for accurate judgment of the urban environment, climate, response, management, collection, and accumulation of highly precise land use and land cover data of the latest information is required(Assefa, 2004).