30 October 2012 Algorithm for daytime radiation fog detection based on MODIS/TERRA data over land
Huiyun Ma, Xiaojing Wu, Bin Zou, Xuelian Meng, Neng Wan
Author Affiliations +
Abstract
We present an algorithm for daytime radiation fog detection (ADRFD) to characterize the fog distribution over land areas through two main steps: (1) detection of areas with clouds and radiation fog based on edge pixels and (2) separation of radiation fog from clouds based on object properties. The algorithm is tested in southeast China over an area of 2,640,000 km2 (longitude extent: 105°E to 122°E, latitude extent: 23°N to 40°N), with 1 km resolution moderate resolution imaging spectroradiometer/TERRA images, digital elevation model of China (grid size is 1×1 km2 and accuracy of elevation is 25 m), and the fog detection accuracies are evaluated using the observation results from 3590 ground observation stations. Results show that ADRFD can detect areas with clouds and radiation fog and effectively differentiate radiation fog from clouds based on object properties with a Kappa coefficient of 0.89 and critical success index at 0.87. It is concluded that ADRFD is a promising approach for daytime radiation fog detection over large land surfaces based on the condition that fog objects do not intersect with cloud objects or are not located under cloud objects. Extensions of this current study will be on improving the parameters determination method of ADRFD. ADRFD can be used to detect other types of fog in different regions and different seasons theoretically, but it should be tested further. In addition, more improvements are needed to allow for the detection of smaller areas of fog and fog regions intersecting with or under clouds.
© 2012 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286/2012/$25.00 © 2012 SPIE
Huiyun Ma, Xiaojing Wu, Bin Zou, Xuelian Meng, and Neng Wan "Algorithm for daytime radiation fog detection based on MODIS/TERRA data over land," Journal of Applied Remote Sensing 6(1), 063589 (30 October 2012). https://doi.org/10.1117/1.JRS.6.063589
Published: 30 October 2012
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KEYWORDS
Fiber optic gyroscopes

Clouds

Reflectivity

Detection and tracking algorithms

MODIS

Radiation effects

Spatial resolution

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