Abstract: Generating Cloud Frequency Maps By Fusion of GOES and MODIS Images. (ASA, CSSA and SSSA International Annual Meetings)

200-2 Generating Cloud Frequency Maps By Fusion of GOES and MODIS Images.

Poster Number 1107

See more from this Division: ASA Section: Climatology & Modeling
See more from this Session: General Airborne and Satellite Remote Sensing: II (includes graduate student competition)

Tuesday, November 5, 2013

Tampa Convention Center, East Exhibit Hall

Xiufu Shuai¹, Thomas giambelluca², Qi Chen², Tomoaki Miura³ and Mallory Barnes⁴, (1)Hubei Province Key Laboratory for Geographical Process Analysis and Simulation, Central China Normal University, Honolulu, HI
(2)Geography, University of Hawaii at Manoa, Honolulu, HI
(3)Natural Resoureces and Environmental Management, University of Hawaii at Manoa, Honolulu, HI
(4)Natural Resources and Environmental Management, University of Hawaii at Manoa, Honolulu, HI

Abstract:

Cloud frequency maps are important in climatelogy. A data fusion approach of cloud frequency mapping is developed to integrate GOES and MODIS satellite imagery and take advantage of the high temporal resolution of the former and the higher spatial resolution of the latter. Land observation of solar radiation showed significant relationship with the fused maps.

See more from this Division: ASA Section: Climatology & Modeling
See more from this Session: General Airborne and Satellite Remote Sensing: II (includes graduate student competition)

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