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

Progress in operational estimation o...

Tasumi, Masahiro.

FindBook

Google Book

Amazon

博客來

Progress in operational estimation of regional evapotranspiration using satellite imagery.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Progress in operational estimation of regional evapotranspiration using satellite imagery./
作者:	Tasumi, Masahiro.
面頁冊數:	357 p.
附註:	Source: Dissertation Abstracts International, Volume: 64-02, Section: B, page: 0598.
Contained By:	Dissertation Abstracts International64-02B.
標題:	Geophysics. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3080262

Progress in operational estimation of regional evapotranspiration using satellite imagery.
Tasumi, Masahiro.

Progress in operational estimation of regional evapotranspiration using satellite imagery. - 357 p.

Source: Dissertation Abstracts International, Volume: 64-02, Section: B, page: 0598.

Thesis (Ph.D.)--University of Idaho, 2003.

This dissertation presents a developed remote sensing model named SEBAL-ID, which estimates evapotranspiration (ET) from satellite images. The operationally usable remote sensing model was developed for Idaho and western United States conditions by refining the SEBAL (Surface Energy Balance Algorithm for Land) algorithm developed by Bastiaanssen in 1995. The original algorithm has been successfully applied in the world especially in developing countries.Subjects--Topical Terms:

535228
Geophysics.

Progress in operational estimation of regional evapotranspiration using satellite imagery.
LDR:02934nmm 2200325 4500 001 1865187
005 20041216142221.5
008 130614s2003 eng d
035 $a (UnM)AAI3080262
035 $a AAI3080262
040 $a UnM $c UnM
100 1 $a Tasumi, Masahiro. $3 1952646
245 1 0 $a Progress in operational estimation of regional evapotranspiration using satellite imagery.
300 $a 357 p.
500 $a Source: Dissertation Abstracts International, Volume: 64-02, Section: B, page: 0598.
500 $a Major Professor: Richard G. Allen.
502 $a Thesis (Ph.D.)--University of Idaho, 2003.
520 $a This dissertation presents a developed remote sensing model named SEBAL-ID, which estimates evapotranspiration (ET) from satellite images. The operationally usable remote sensing model was developed for Idaho and western United States conditions by refining the SEBAL (Surface Energy Balance Algorithm for Land) algorithm developed by Bastiaanssen in 1995. The original algorithm has been successfully applied in the world especially in developing countries.
520 $a In the SEBAL Algorithm, ET from land surfaces is estimated by solving the land surface energy balance for each pixel of a satellite image. The instantaneous (satellite image time) ET is estimated as a residual of the energy balance at the land surface, and the estimated instantaneous value is extrapolated to 24-hour and seasonal ET, which are the final products of SEBAL.
520 $a The refinements in SEBAL-ID include the application to mountainous regions, an increase in the reliability of estimates by adopting an internal calibration procedure using public weather data, and modifying empirical equations. The proposed model was applied in southern Idaho, and agreed well with lysimeter measured ET data.
520 $a This dissertation presents results of many analyses with SEBAL-ID, which are valuable not only to SEBAL-ID users but also to SEBAL users around the world. The analyses cover the following topics: surface albedo estimation, estimated LAI by satellite image analyses, effect of atmospheric correction in surface temperature estimation, effect of elevation on surface temperature, ground heat flux estimation method and accuracy, impact of surface roughness for momentum transport, the sensible heat estimation method, windspeed and surface temperature relation, use of a soil water balance model in SEBAL-ID and the behavior of the ETr fraction.
520 $a The developed model, SEBAL-ID, has already been applied for actual water resources management in Idaho State by the state agency Idaho Department of Water Resources.
590 $a School code: 0089.
650 4 $a Geophysics. $3 535228
650 4 $a Physics, Atmospheric Science. $3 1019431
650 4 $a Remote Sensing. $3 1018559
690 $a 0373
690 $a 0608
690 $a 0799
710 2 0 $a University of Idaho. $3 718915
773 0 $t Dissertation Abstracts International $g 64-02B.
790 1 0 $a Allen, Richard G., $e advisor
790 $a 0089
791 $a Ph.D.
792 $a 2003
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3080262