東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Cloud detection and height from GOES.

Laws, Kevin Brandon.

FindBook

Google Book

Amazon

博客來

Cloud detection and height from GOES.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Cloud detection and height from GOES./
作者:	Laws, Kevin Brandon.
面頁冊數:	117 p.
附註:	Source: Masters Abstracts International, Volume: 41-04, page: 1093.
Contained By:	Masters Abstracts International41-04.
標題:	Physics, Atmospheric Science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1412115
ISBN:	0493965971

Cloud detection and height from GOES.
Laws, Kevin Brandon.

Cloud detection and height from GOES. - 117 p.

Source: Masters Abstracts International, Volume: 41-04, page: 1093.

Thesis (M.S.)--The University of Alabama in Huntsville, 2002.

The Bi-spectral Threshold and Height (BTH) method is introduced as a technique for twenty-four hour cloud detection and height assignment from the Geostationary Operational Environmental Satellite-8 Imager and Sounder instruments. The BTH cloud algorithm utilizes 3.9 and 10.7 μm differencing thresholds and twenty-day composite imagery for cloud detection. A quantitative comparison for three two-week case studies shows that the BTH technique significantly improves diurnal cloud detection over the previous Bi-spectral Spatial Coherence method by 53% during the nighttime, 36% at sunrise, and 60% at sunset. The daytime hours showed the smallest improvement in cloud detection by 5%. Other comparisons between similar cloud products show the National Environmental Satellite, Data, and Information Service technique detects 6% more clouds than the BTH method, but over determines 37% of the clear pixels. The BTH cloud pressure product is 135 mb higher on average, when compared to the University of Wisconsin-Madison technique.

ISBN: 0493965971Subjects--Topical Terms:

1019431
Physics, Atmospheric Science.

Cloud detection and height from GOES.
LDR:01872nmm 2200277 4500 001 1810201
005 20040126131522.5
008 130610s2002 eng d
020 $a 0493965971
035 $a (UnM)AAI1412115
035 $a AAI1412115
040 $a UnM $c UnM
100 1 $a Laws, Kevin Brandon. $3 1899823
245 1 0 $a Cloud detection and height from GOES.
300 $a 117 p.
500 $a Source: Masters Abstracts International, Volume: 41-04, page: 1093.
500 $a Chair: Gary J. Jedlovec.
502 $a Thesis (M.S.)--The University of Alabama in Huntsville, 2002.
520 $a The Bi-spectral Threshold and Height (BTH) method is introduced as a technique for twenty-four hour cloud detection and height assignment from the Geostationary Operational Environmental Satellite-8 Imager and Sounder instruments. The BTH cloud algorithm utilizes 3.9 and 10.7 μm differencing thresholds and twenty-day composite imagery for cloud detection. A quantitative comparison for three two-week case studies shows that the BTH technique significantly improves diurnal cloud detection over the previous Bi-spectral Spatial Coherence method by 53% during the nighttime, 36% at sunrise, and 60% at sunset. The daytime hours showed the smallest improvement in cloud detection by 5%. Other comparisons between similar cloud products show the National Environmental Satellite, Data, and Information Service technique detects 6% more clouds than the BTH method, but over determines 37% of the clear pixels. The BTH cloud pressure product is 135 mb higher on average, when compared to the University of Wisconsin-Madison technique.
590 $a School code: 0278.
650 4 $a Physics, Atmospheric Science. $3 1019431
650 4 $a Remote Sensing. $3 1018559
690 $a 0608
690 $a 0799
710 2 0 $a The University of Alabama in Huntsville. $3 1017884
773 0 $t Masters Abstracts International $g 41-04.
790 1 0 $a Jedlovec, Gary J., $e advisor
790 $a 0278
791 $a M.S.
792 $a 2002
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1412115