Skip all navigation and jump to content Jump to site navigation
NASA Logo - Goddard Space Flight Center

+ NASA Homepage

    
Goddard Space Flight Center
About MODIS News Data Tools /images2 Science Team Science Team Science Team

   + Home
ABOUT MODIS
MODIS Publications Link
MODIS Presentations Link
MODIS Biographies Link
MODIS Science Team Meetings Link
 

 

 

Lafont, D, Jourdan, O, Guillemet, B (2006). Mesoscale cloud pattern classification over ocean with a neural network using a new index of cloud variability. INTERNATIONAL JOURNAL OF REMOTE SENSING, 27(16), 3533-3552.

Abstract
The purpose of this study is to determine the feasibility of a mesoscale (< 300 km) cloud classification using infrared radiance data of satellite-borne instruments. A new method is presented involving an index called the diversity index (DI), derived from a parameter commonly used to describe ecosystem variability. In this respect, we consider several classes of value ranges of standard deviation of the brightness temperature at 11 mu m (sigma(BT)). In order to calculate DI for 128 x 128km(2) grids, subframes of 8 km x 8km are superimposed to the satellite image, and then sigma(BT) is calculated for all 256 subframes and assigned to one of the classes. Each observed cloud pattern is associated with an index characterized by the frequency of sigma(BT) classes within the scene, representative of a cloud type. Classification of different clouds is obtained from Advanced Very High Resolution Radiometer (AVHRR)-NOAA 16 data at 1 km resolution. Stratus, stratocumulus and cumulus are specifically recognized by this window analysis using a DI threshold. Then, a six-class scheme is presented, with the standard deviation of the infrared brightness temperature of the entire cloud scene (sigma(c)) and DI as inputs of a neural network algorithm. This neural network classifier achieves an overall accuracy of 77.5% for a six-class scheme, and 79.4% for a three-class scheme, as verified against the analyses of nephanalists as verified against a cloud classification from Meteo France. As an application of the proposed methodology, regional cloud variability over Pacific is examined using cloud patterns derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) carried aboard Earth Observing System (EOS) Terra polar orbiter platform, for February 2003 and 2004. The comparison shows regional change in monthly mean cloud types, associated with 2003 El Nino and 2004 neutral events. A significant increase in the occurrence of convective clouds (+15%) and a decrease in stratiform clouds (-10%) are observed between the two months.

DOI:
10.1080/01431160500192512

ISSN:
0143-1161

FirstGov logo Privacy Policy and Important Notices NASA logo

Curator: Brandon Maccherone
NASA Official: Shannell Frazier

NASA Home Page Goddard Space Flight Center Home Page