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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 충남대학교 농업과학연구소 Korean Journal of Agricultural Science Korean Journal of Agricultural Science Vol.47 No.1
- 발행연도
- 2020.3
- 수록면
- 59 - 66 (8page)
이용수
초록· 키워드
오류제보하기
Particulate matter (PM) is regarded as a major threat to public health and safety in urban areas. Despite a variety of efforts to systemically monitor the distribution of PM, the limited amount of sampling sites may not provide sufficient coverage over the areas where the monitoring stations are not located in close proximity. This study examined the capacity of using remotely sensed data to estimate the PM10 and PM2.5 concentrations in Seoul, South Korea. Multiple linear regression models were developed using the multispectral band data from the Moderate-resolution imaging spectro-radiometer equipped on Terra (MODIS) and Operational Land Imager equipped on Landsat 8 (Landsat 8) and meteorological parameters. Compared to MODIS-derived models (r² = 0.25 for PM10, r² = 0.30 for PM2.5), the Landsat 8-derived models showed improved model reliabilities (r² = 0.17 to 0.57 for PM10, r² = 0.47 to 0.71 for PM2.5). Landsat 8 model-derived PM concentration and groundtruth PM measurements were cross-validated to each other to examine the capability of the models for estimating the PM concentration. The modeled PM concentrations showed a stronger correlation to PM10 (r = 0.41 to 0.75) than to PM2.5 (r = 0.14 to 0.82). Overall, the results indicate that Landsat 8-derived models were more suitable in estimating the PM concentrations. Despite the day-to-day fluctuation in the model reliability, several models showed strong correspondences of the modeled PM concentrations to the PM measurements.
목차
Abstract
Introduction
Materials and Methods
Results and Discussion
References
참고문헌 (27)
참고문헌 신청
AirKorea / Latest hourly ambient air quality data archive
Chavez PS / 1996 / Image-based atmospheric correction – revisited and improved / Photogrammetric Engineering and Remote Sensing 62:1025~1036
Chen W / 2017 / Performance of MODIS C6 aerosol product during frequent haze-fog events : A case study of Beijing / Remote Sensing 9:496
Chen Y / 2014 / Estimating ground-level PM2.5 concentration using Landsat 8 in Chengdu, China / Proceedings of SPIE - The International Society for Optical Engineering 9259:925917
IPCC (Intergovernmental Panel on Climate Change) / 2014 / Climate change 2014: Mitigation of climate change. Contribution of working group III to the fifth assessment report of the Intergovernmental Panel on Climate Change
Chavez PS / 1996 / Image-based atmospheric correction – revisited and improved / Photogrammetric Engineering and Remote Sensing 62:1025~1036
Chen W / 2017 / Performance of MODIS C6 aerosol product during frequent haze-fog events : A case study of Beijing / Remote Sensing 9:496
Chen Y / 2014 / Estimating ground-level PM2.5 concentration using Landsat 8 in Chengdu, China / Proceedings of SPIE - The International Society for Optical Engineering 9259:925917
IPCC (Intergovernmental Panel on Climate Change) / 2014 / Climate change 2014: Mitigation of climate change. Contribution of working group III to the fifth assessment report of the Intergovernmental Panel on Climate Change
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UCI(KEPA) : I410-ECN-0101-2020-520-000607182