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REMOTE SENSING FOR LAND & RESOURCES    2013, Vol. 25 Issue (1) : 13-17     DOI: 10.6046/gtzyyg.2013.01.03
Technology and Methodology |
AIRS pixel cloud detection using MODIS cloud products
WANG Danfeng1,2, ZHANG Jilong1,2, WANG Zhibin1,2, CHEN Yuanyuan1,2, CHEN Youhua1,2
1. Shanxi Provincial Research Center for Opto-electronic Information and Instrument Engineering Technology, North University of China, Taiyuan 030051, China;
2. Key Laboratory of Instrumentation Science & Dynamic Measurement, North University of China, Ministry of Education, Taiyuan 030051, China
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Abstract  

In order to utilize the Moderate Resolution Imaging Spectroradiometer (MODIS) cloud products to detect the properties of Atmospheric Infrared Sounder (AIRS) cloud, this paper first adopted space collocation algorithm to match the MODIS and AIRS, and then combined the MODIS cloud classification mask, cloud phase mask products and the operational algorithm of MODIS cloud retrieval to realize the utilization of MODIS data to detect AIRS single field of the cloud (pixel cloud). The results show that MODIS 1km resolution products can realize AIRS cloud classification (lower, midlevel or high clouds) and cloud phase (water, ice or mixed-phase clouds) detection.

Keywords water-erosion desertification      information extraction      object-oriented segmentation      analytic hierarchy process     
:  TP79  
Issue Date: 21 February 2013
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GE Jia
ZHANG Zi-ming
WU Cheng
ZHAN Qian
SUN Yong-jun
Cite this article:   
GE Jia,ZHANG Zi-ming,WU Cheng, et al. AIRS pixel cloud detection using MODIS cloud products[J]. REMOTE SENSING FOR LAND & RESOURCES, 2013, 25(1): 13-17.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2013.01.03     OR     https://www.gtzyyg.com/EN/Y2013/V25/I1/13
[1] Aumann H H,Chahine M T,Gautier G, et al.AIRS/AMSU/HSB on the Aqua mission:Design,science objectives,data products,and processing systems[J].IEEE Tran sactions on Geoscience and Remote Sensing,2003,41(2):253-264.
[2] Susskind J,Reuter D,Chahine M T.Cloud fields retrieved from analysis of HIRS2/MSU sounding data[J].Journal of Geophysical Research,1987,92(4):4035-4050.
[3] Li J,Schmit T J,Menzel W P,et al.Advanced baseline imager(ABI)for future geostationary operational environmental satellites(GOES-R and beyond)[C]//Menzel W P.Applications with Weather Satellites.USA:SPIE,2002,4895:111-122.
[4] Ackerman S A,Strabala K I,Menzel W P,et al.Discriminating clear sky from clouds with MODIS[J].Journal of Geophysical Research,1998,103(24):32141-32157.
[5] Li J,Menzel W P,Yang Z D,et al.High-spatial-resolution surface and cloud-type classification from MODIS multispectral band measurements[J].Journal of Applied Meteorology,2003,42(2):204-226.
[6] Baum B A,Kratz D P,Yang P,et al.Remote sensing of cloud properties using MODIS airborne simulator imagery during SUCCESS 1.data and models[J].Journal of Geophysical Research,2000,105(9):11767-11780.
[7] Zhang H,Hung L H,Agnes L,et al.Analysis and characterization of the synergistic AIRS and MODIS cloud cleared radiances[J].Frontiers of Earth Science in China,2010,4(3):363-373.
[8] Li J,Menzel W P,Zhang W,et al.Synergistic use of MODIS and AIRS in a variational retrieval of cloud parameters[J].Journal of Applied Meteorology,2004,43(11):1619-1634.
[9] 官莉.星载红外高光谱资料的应用[M].北京:气象出版社,2007:21-22. Guan L.Spaceborne infrared hyperspectral data application[M].Beijing:Meteorological Press,2007:21-22.
[10] Nagle F W.The association of disparate satellite observations[C]//Phoenix A Z.Second symposium on integrated observing systems.American Meteorological Society,1998:49-52.
[11] Frey R A,Ackerman S A,Soden B J.Climate parameters from satellite spectral measurements,part I:Collocated AVHRR and HIRS/2 observations of spectral greenhouse parameter[J].Climate,1996,9(2):327-344.
[12] 官莉,王振会.用空间匹配的MODIS云产品客观确定AIRS云检测[J].气象科学,2007,27(5):516-521. Guan L,Wang Z H.Objective determintion of AIRS cloud mask using colocated MODIS cloud mask[J].Scientia Meteorologica Sinica,2007,27(5):516-521.
[13] Haertel V,Landgrebe D A.On the classification of classes with nearly equal spectral response in remote sensing hyperspectral image data[J].IEEE Transactions on Geoscience and Remote Sensing,1999,37(5):2374-2385.
[14] 何全军,曹静,黄江,等.基于多光谱综合的MODIS数据云检测研究[J].国土资源遥感,2006,18(3):19-22. He Q J,Cao J,Huang J,et al.Cloud detection in MODIS data based on multi-spectrum synthesis[J].Remote Sensing for Land and Resources,2006,18(3):19-22.
[15] 包书新.基于MODIS数据的云识别研究[D].长春:吉林大学,2008. Bao S X.Cloud recognition using MODIS data[D].Changchun:Jilin University,2008.
[16] 梁守真,施平,邢前国.MODIS NDVI时间序列数据的去云算法比较[J].国土资源遥感,2011,23(1):33-36. Liang S Z,Shi P,Xing Q G.A comparison between the algorithms for removing cloud pixel from MODIS NDVI time series data[J].Remote Sensing for Land and Resources,2011,23(1):33-36.
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