中国环境科学
中國環境科學
중국배경과학
CHINA ENVIRONMENTAL SCIENCE
2014年
3期
574-580
,共7页
夏浪%毛克彪%孙知文%马莹
夏浪%毛剋彪%孫知文%馬瑩
하랑%모극표%손지문%마형
NPP%VIIRS%云检测
NPP%VIIRS%雲檢測
NPP%VIIRS%운검측
NPP%VIIRS%cloud detection
为了获得新型红外成像辐射仪套件(Visible Infrared Imager Radiometer Suite, VIIRS)传感器准确的云掩码数据,克服当前VIIRS云检测算法在中国区域存在的部分缺陷.本研究通过分析当前较为成熟的中分辨率光谱成像仪(Moderate Resolution Imaging Spectroradiometer,MODIS)云掩码算法,结合VIIRS传感器的波段特性,提出了适合中国区域的云检测算法.针对1.38μm高(卷)云检测算法在高海拔区域存在的限制,本研究使用亮温进行辅助检测,降低因低水汽含量造成的误报;针对当前 VIIRS M12-M13云检测阈值在我国存在误报的问题,对M12-M13差值云检测在我国适用范围和阈值进行了分析讨论,并使用亮温辅助M12-M13进一步克服地表二项性反射造成的干扰.使用中国区域的两景数据进行应用分析表明:亮温辅助1.38um高(卷)云检测能够较好的抑制地表污染,亮温辅助M12-M13差值云检测比当前 VIIRS M12-M13云检测能更好的抑制误报.通过人工解译,将检测结果和解译结果做了对比分析,实例数据检测精度均高于85%,能够满足当前云检测精度要求.
為瞭穫得新型紅外成像輻射儀套件(Visible Infrared Imager Radiometer Suite, VIIRS)傳感器準確的雲掩碼數據,剋服噹前VIIRS雲檢測算法在中國區域存在的部分缺陷.本研究通過分析噹前較為成熟的中分辨率光譜成像儀(Moderate Resolution Imaging Spectroradiometer,MODIS)雲掩碼算法,結閤VIIRS傳感器的波段特性,提齣瞭適閤中國區域的雲檢測算法.針對1.38μm高(捲)雲檢測算法在高海拔區域存在的限製,本研究使用亮溫進行輔助檢測,降低因低水汽含量造成的誤報;針對噹前 VIIRS M12-M13雲檢測閾值在我國存在誤報的問題,對M12-M13差值雲檢測在我國適用範圍和閾值進行瞭分析討論,併使用亮溫輔助M12-M13進一步剋服地錶二項性反射造成的榦擾.使用中國區域的兩景數據進行應用分析錶明:亮溫輔助1.38um高(捲)雲檢測能夠較好的抑製地錶汙染,亮溫輔助M12-M13差值雲檢測比噹前 VIIRS M12-M13雲檢測能更好的抑製誤報.通過人工解譯,將檢測結果和解譯結果做瞭對比分析,實例數據檢測精度均高于85%,能夠滿足噹前雲檢測精度要求.
위료획득신형홍외성상복사의투건(Visible Infrared Imager Radiometer Suite, VIIRS)전감기준학적운엄마수거,극복당전VIIRS운검측산법재중국구역존재적부분결함.본연구통과분석당전교위성숙적중분변솔광보성상의(Moderate Resolution Imaging Spectroradiometer,MODIS)운엄마산법,결합VIIRS전감기적파단특성,제출료괄합중국구역적운검측산법.침대1.38μm고(권)운검측산법재고해발구역존재적한제,본연구사용량온진행보조검측,강저인저수기함량조성적오보;침대당전 VIIRS M12-M13운검측역치재아국존재오보적문제,대M12-M13차치운검측재아국괄용범위화역치진행료분석토론,병사용량온보조M12-M13진일보극복지표이항성반사조성적간우.사용중국구역적량경수거진행응용분석표명:량온보조1.38um고(권)운검측능구교호적억제지표오염,량온보조M12-M13차치운검측비당전 VIIRS M12-M13운검측능경호적억제오보.통과인공해역,장검측결과화해역결과주료대비분석,실례수거검측정도균고우85%,능구만족당전운검측정도요구.
Cloud is an important factor that affects global climate change, so the research of cloud monitoring is very important. In order to identify pixel as cloudy or clear from the Visible Infrared Imager Radiometer Suite (VIIRS) sensor and overcome the shortage of current VIIRS cloud mask algorithm in China, this paper made an introduction for the basic theory of current cloud detection algorithm, and then the cloud detection method was presented.The brightness temperature of was used to detect high cloud to overcome the limit of using 1.38 μm in elevated surface, and the appropriatethreshold of M12-M13 cloud detection was determined by some analysis. Application analysis showed that the method presents in this paper could be used to accurately detect the cloud, and the brightness temperature auxiliary M12-M13and 1.38 μm could inhibition the surface reflection. With the artificial interpret of the remote sensing image, the results showed the estimation accuracy was higher than 85% which can satisfy the requirements of the cloud detection accuracy for the National Polar-orbiting Operational Environmental Satellite System (NPOESS) program.