Technology and Methodology |
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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.
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Keywords
water-erosion desertification
information extraction
object-oriented segmentation
analytic hierarchy process
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Issue Date: 21 February 2013
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