• 제목/요약/키워드: vertical feature mask(VFM)

검색결과 2건 처리시간 0.018초

동아시아 지역의 육상에서 다중채널 위성자료에 의한 황사/연무 탐지 (Dust/smoke detection by multi-spectral satellite data over land of East Asia)

  • 박수현;추교황;이규태;신희우;김동철;정명재
    • 대한원격탐사학회지
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    • 제33권3호
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    • pp.257-266
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    • 2017
  • 이 연구에서는 Moderate Resolution Imaging Spectroradiometer(MODIS) Level 1.0B 자료와 다중채널 원격 탐사방법을 이용하여 황사(dust)/연무(smoke) 탐지 알고리즘을 개발하였고 결과 검증을 위하여 MODIS RGB 합성영상과 Cloud-Aerosol Lidar with Orthogonal Polarization Satellite Observations(CALIPSO)위성의 VFM(Vertical Feature Mask)자료가 사용되었다. 2007년 3월 30일과 2012년 4월 27일의 주간 사례에 대한 이 연구의 황사/연무 탐지 결과는 검증자료와 약 56.4 %, 72.0 % 일치하였으며 야간의 경우는 2012년 04월 27일 사례에 대하여 약 40.5 % 일치하였다. 그러나 이 연구 결과는 MODIS와 CALIPSO 위성의 시 공간 일치 한계 때문에 제한적 사례에 대하여 검증되었으나 추가적인 연구를 통하여 우리나라 차세대 정지궤도 기상위성의 에어로졸 탐지에 활용될 수 있을 것이다.

Himawari-8/AHI 관측자료를 이용한 주요 대기 에어로솔 탐지 및 분류 방법 (Detection and Classification of Major Aerosol Type Using the Himawari-8/AHI Observation Data)

  • 이권호;이규태
    • 한국대기환경학회지
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    • 제34권3호
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    • pp.493-507
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    • 2018
  • Due to high spatio-temporal variability of amount and optical/microphysical properties of atmospheric aerosols, satellite-based observations have been demanded for spatiotemporal monitoring the major aerosols. Observations of the heavy aerosol episodes and determination on the dominant aerosol types from a geostationary satellite can provide a chance to prepare in advance for harmful aerosol episodes as it can repeatedly monitor the temporal evolution. A new geostationary observation sensor, namely the Advanced Himawari Imager (AHI), onboard the Himawari-8 platform, has been observing high spatial and temporal images at sixteen wavelengths from 2016. Using observed spectral visible reflectance and infrared brightness temperature (BT), the algorithm to find major aerosol type such as volcanic ash (VA), desert dust (DD), polluted aerosol (PA), and clean aerosol (CA), was developed. RGB color composite image shows dusty, hazy, and cloudy area then it can be applied for comparing aerosol detection product (ADP). The CALIPSO level 2 vertical feature mask (VFM) data and MODIS level 2 aerosol product are used to be compared with the Himawari-8/AHI ADP. The VFM products can deliver nearly coincident dataset, but not many match-ups can be returned due to presence of clouds and very narrow swath. From the case study, the percent correct (PC) values acquired from this comparisons are 0.76 for DD, 0.99 for PA, 0.87 for CA, respectively. The MODIS L2 Aerosol products can deliver nearly coincident dataset with many collocated locations over ocean and land. Increased accuracy values were acquired in Asian region as POD=0.96 over land and 0.69 over ocean, which were comparable to full disc region as POD=0.93 over land and 0.48 over ocean. The Himawari-8/AHI ADP algorithm is going to be improved continuously as well as the validation efforts will be processed by comparing the larger number of collocation data with another satellite or ground based observation data.